learning SE-Radio-Episode-294-Asaf-Yigal-on-Machine-Learning-in-Log-Analysis By traffic.libsyn.com Published On :: Mon, 19 Jun 2017 22:58:41 +0000 Asaf Yigal talks with SE Radio’s Edaena Salinas about machine learning in log analysis. The discussion starts with an overview of the structure of logs and what information they can contain. Asaf discusses what the log analysis process looks like without machine learning -- and the role of humans in this – before moving on to how the process is improved by incorporating external resources using machine learning. Topics include: log analysis, machine learning, operations. Full Article
learning Episode 382: Michael Chan on Learning ReactJS By se-radio.net Published On :: Thu, 26 Sep 2019 20:35:18 +0000 Michael Chan has been teaching React since 2013 and is the host of the React Podcast. He currently works at Ministry Centered Technologies as a Frontend Architect. Full Article
learning Episode 391: Jeremy Howard on Deep Learning and fast.ai By traffic.libsyn.com Published On :: Thu, 05 Dec 2019 19:17:57 +0000 Jeremy Howard from fast.ai explains deep learning from concept to implementation. Thanks to transfer learning, individuals and small organizations can get state-of-the-art results on machine learning problems using the open source fastai library... Full Article
learning Episode 395: Katharine Jarmul on Security and Privacy in Machine Learning By traffic.libsyn.com Published On :: Fri, 10 Jan 2020 19:21:58 +0000 Katharine Jarmul of DropoutLabs discusses security and privacy concerns as they relate to Machine Learning. Host Justin Beyer spoke with Jarmul about attack types and privacy-protected ML techniques. Full Article
learning Episode 431: Ken Youens-Clark on Learning Python By se-radio.net Published On :: Fri, 23 Oct 2020 17:29:15 +0000 Felienne spoke with Youens-Clark about new features in Python, why you should teach testing to beginners from the start and the importance of the Python ecosystem. Full Article
learning Episode 479: Luis Ceze on the Apache TVM Machine Learning Compiler By traffic.libsyn.com Published On :: Wed, 29 Sep 2021 19:29:00 +0000 Luis Ceze of OctoML discusses Apache TVM, an open source machine learning model compiler for a variety of different hardware architectures with host Akshay Manchale. Luis talks about the challenges in deploying models on specialized hardware and how TVM. Full Article
learning Episode 493: Ram Sriharsha on Vectors in Machine Learning By traffic.libsyn.com Published On :: Tue, 04 Jan 2022 21:20:12 +0000 Ram Sriharsha of Pinecone discusses the role of vectors in machine learning, a technique that lies at the heart of many of the machine learning applications we use every day. Host Philip Winston spoke with Sriharsha about the basics of vectors, vector... Full Article
learning Episode 549: William Falcon Optimizing Deep Learning Models By se-radio.net Published On :: Fri, 03 Feb 2023 00:20:00 +0000 William Falcon of Lighting AI discusses how to optimize deep learning models using the Lightning platform, optimization is a necessary step towards creating a production application. Philip Winston spoke with Falcon about PyTorch, PyTorch Lightning... Full Article
learning SE Radio 582: Leo Porter and Daniel Zingaro on Learning to Program with LLMs By se-radio.net Published On :: Wed, 20 Sep 2023 18:05:00 +0000 Dr. Daniel Zingaro and Dr. Leo Porter, co-authors of the book Learn AI-Assisted Python Programming, speak with host Jeremy Jung about teaching programming with the aid of large language models (LLMs). They discuss writing a book to use in Leo's introductory CS class and explore how GitHub Copilot de-emphasizes syntax errors, reduces the need to memorize APIs, and why they want students to write manual test cases. They also discuss possible ethical concerns of relying on commercial tools, their impact on coursework, and why they aren't worried about students cheating with LLMs. Full Article
learning SE Radio 588: José Valim on Elixir, Machine Learning, and Livebook By se-radio.net Published On :: Thu, 02 Nov 2023 17:10:00 +0000 José Valim, creator of the Elixir programming language, Chief Adoption Officer at Dashbit, and author of three programming books, speaks with SE Radio host Gavin Henry about what Elixir is today, what Livebook is, the five spearheads of the new machine learning ecosystem for Elixir, and how they all fit together. Valim describes why he created Elixir, what “the beam” is, and how he pitches it to new users. This episode examines things you can do with Livebook and how it is well-aligned with machine learning, as well as why immutability is important and how it works. They take a detailed look at a range of topics, including tensors with Nx, traditional machine learning with Scholar, data munging with Explorer, deep learning and neural networks with Axon, Bumblebee and Huggingface, and model creation basics. Brought to you by IEEE Computer Society and IEEE Software magazine. Full Article
learning SE Radio 594: Sean Moriarity on Deep Learning with Elixir and Axon By se-radio.net Published On :: Thu, 14 Dec 2023 22:49:00 +0000 Sean Moriarity, creator of the Axon deep learning framework, co-creator of the Nx library, and author of Machine Learning in Elixir and Genetic Algorithms in Elixir, published by the Pragmatic Bookshelf, speaks with SE Radio host Gavin Henry about what deep learning (neural networks) means today. Using a practical example with deep learning for fraud detection, they explore what Axon is and why it was created. Moriarity describes why the Beam is ideal for machine learning, and why he dislikes the term “neural network.” They discuss the need for deep learning, its history, how it offers a good fit for many of today’s complex problems, where it shines and when not to use it. Moriarity goes into depth on a range of topics, including how to get datasets in shape, supervised and unsupervised learning, feed-forward neural networks, Nx.serving, decision trees, gradient descent, linear regression, logistic regression, support vector machines, and random forests. The episode considers what a model looks like, what training is, labeling, classification, regression tasks, hardware resources needed, EXGBoost, Jax, PyIgnite, and Explorer. Finally, they look at what’s involved in the ongoing lifecycle or operational side of Axon once a workflow is put into production, so you can safely back it all up and feed in new data. Brought to you by IEEE Computer Society and IEEE Software magazine. This episode sponsored by Miro. Full Article
learning SE Radio 641: Catherine Nelson on Machine Learning in Data Science By se-radio.net Published On :: Wed, 06 Nov 2024 18:00:00 +0000 Catherine Nelson, author of the new O’Reilly book, Software Engineering for Data Scientists, discusses the collaboration between data scientists and software engineers -- an increasingly common pairing on machine learning and AI projects. Host Philip Winston speaks with Nelson about the role of a data scientist, the difference between running experiments in notebooks and building an automated pipeline for production, machine learning vs. AI, the typical pipeline steps for machine learning, and the role of software engineering in data science. Brought to you by IEEE Computer Society and IEEE Software magazine. Full Article
learning Unlearning Queerphobia By www.yesmagazine.org Published On :: Wed, 02 Oct 2024 14:00:00 +0000 Schools are a powerful place to begin building an LGBTQ-affirming culture, as an antidote to fear and bigotry. Full Article Social Justice Education LGBTQ+ GOP Transgender LGBTQ Rights Project 2025 Progress 2025: LGBTQ Rights Progress 2025 California Florida
learning Blended Learning and Career and Technology Education - Part I: The Definition By careertechtesting.blogspot.com Published On :: Wed, 23 Mar 2016 17:50:00 +0000 In this four-part series, I’ll define blended learning, discuss the models of blended learning, the implications for career and technical education, and how the Curriculum, Assessment, and Digital Delivery (CADD) areas of the Oklahoma Department of Career and Technology Education can assist in the implementation of blended learning. Technology has created a personalized access to the world where we can connect and learn… where we can create and share. Almost every aspect of our lives have been changed by technology, except... education. Over the last few years, I’ve entered into blended learning discussions with various people, including educators, and I’m always surprised at their perception of blended learning. Many believe blended learning occurs when any type of computer-based learning takes place within the classroom. In many instances, I would define what is occurring as technology-rich instruction, but there is a difference. Blended learning is the combination of online learning and brick and mortar schools with teachers who enable students to learn at their own pace. Why is this important? Because many students learn in different ways and this allows each student to optimize their learning. Quite simply, the purpose of blended learning is to take the best of traditional education and blend it with the power of online learning which allows for a more personalized and interactive learning experience. Each teacher has the opportunity to review data, in the moment, and determine where the student is at and to form instruction for the next period or the next day. Blended learning also puts the student in charge of their own learning which, to me, is a very valuable lesson in itself. According to the Clayton Christensen Institute for Disruptive Education, blended learning “goes beyond one-to-one computers and high-tech gadgets. Blended learning involves leveraging the Internet to afford each student a more personalized learning experience, including increased student control over the time, place, path, and/or pace of learning. The definition of blended learning is a formal education program in which a student learns: at least in part through online learning, with some element of student control over time, place, path, and/or pace; at least in part in a supervised brick-and-mortar location away from home; and the modalities along each student’s learning path within a course or subject are connected to provide an integrated learning experience.” See more at: http://www.christenseninstitute.org/blended-learning/#sthash.AWqDXtoh.dpuf The key difference between blended learning and other forms of education is on its emphasis on personalized learning. The International Association for Online Learning (iNACOL) defines personalized learning as, “Tailoring learning for each student’s strengths, needs and interests–including enabling student voice and choice in what, how, when and where they learn–to provide flexibility and supports to ensure mastery of the highest standards possible.” As you can see, the two definitions overlap, but blending learning adds online learning and leveraging the internet to personalize an individual’s learning experience. Next- Blended Learning and Career and Technology Education - Part II: Blended Learning Models Full Article Blended Learning CareerTechEd CareerTechTesting Center CIMC CTE CTE Education ctYOUniverse Education Instruction Technology
learning Blended Learning and Career and Technology Education - Part II: Blended Learning Models By careertechtesting.blogspot.com Published On :: Thu, 24 Mar 2016 17:36:00 +0000 In this four-part series, I’ll define blended learning, discuss the models of blended learning, the implications for career and technical education, and how the Curriculum, Assessment, and Digital Delivery (CADD) areas of the Oklahoma Department of Career and Technology Education can assist in the implementation of blended learning. As I mentioned in the first post in this series, technology has created a personalized access to the world where we can connect and learn… where we can create and share. Almost every aspect of our lives have been changed by technology, except... education. I believe blended learning can have a profound effect upon career and technology education in many instructional ways which will be discussed in the next post. There are certain elements of blended learning that already occur in CTE and some may be doing an excellent job as I write this, but I’m not aware of research that helps decide if one model works better with any certain occupational area (if you know of any research in this area, PLEASE SHARE!!). The Clayton Christensen Institute for Disruptive Education defines blended learning as “a formal education program in which the student learns: (1) at least in part through online learning, with some element of student control over time, place, path, and/or pace; (2) at least in part in a supervised brick-and-mortar location away from home; (3) and the modalities along each student’s learning path within a course or subject are connected to provide an integrated learning experience.” The Models — The majority of blended-learning programs resemble one of four models: Rotation, Flex, A La Carte, and Enriched Virtual. The Rotation model includes four sub-models: Station Rotation, Lab Rotation, Flipped Classroom, and Individual Rotation. 1. Rotation model — a course or subject in which students rotate on a fixed schedule or at the teacher’s discretion between learning modalities, at least one of which is online learning. Other modalities might include activities such as small-group or full-class instruction, group projects, individual tutoring, and pencil-and-paper assignments. The students learn mostly on the brick-and-mortar campus, except for any homework assignments. a. Station Rotation — a course or subject in which students experience the Rotation model within a contained classroom or group of classrooms. The Station Rotation model differs from the Individual Rotation model because students rotate through all of the stations, not only those on their custom schedules. b. Lab Rotation – a course or subject in which students rotate to a computer lab for the online-learning station. c. Flipped Classroom – a course or subject in which students participate in online learning off-site in place of traditional homework and then attend the brick-and-mortar school for face-to-face, teacher-guided practice or projects. The primary delivery of content and instruction is online, which differentiates a Flipped Classroom from students who are merely doing homework practice online at night. d. Individual Rotation – a course or subject in which each student has an individualized playlist and does not necessarily rotate to each available station or modality. An algorithm or teacher(s) sets individual student schedules. 2. Flex model — a course or subject in which online learning is the backbone of student learning, even if it directs students to offline activities at times. Students move on an individually customized, fluid schedule among learning modalities. The teacher of record is on-site, and students learn mostly on the brick-and-mortar campus, except for any homework assignments. The teacher of record or other adults provide face-to-face support on a flexible and adaptive as-needed basis through activities such as small-group instruction, group projects, and individual tutoring. Some implementations have substantial face-to-face support, whereas others have minimal support. For example, some Flex models may have face-to-face certified teachers who supplement the online learning on a daily basis, whereas others may provide little face-to-face enrichment. Still others may have different staffing combinations. These variations are useful modifiers to describe a particular Flex model. 3. A La Carte model — a course that a student takes entirely online to accompany other experiences that the student is having at a brick-and-mortar school or learning center. The teacher of record for the A La Carte course is the online teacher. Students may take the A La Carte course either on the brick-and-mortar campus or off-site. This differs from full-time online learning because it is not a whole-school experience. Students take some courses A La Carte and others face-to-face at a brick-and-mortar campus. 4. Enriched Virtual model — a course or subject in which students have required face-to-face learning sessions with their teacher of record and then are free to complete their remaining coursework remote from the face-to-face teacher. Online learning is the backbone of student learning when the students are located remotely. The same person generally serves as both the online and face-to-face teacher. Many Enriched Virtual programs began as full-time online schools and then developed blended programs to provide students with brick-and-mortar school experiences. The Enriched Virtual model differs from the Flipped Classroom because in Enriched Virtual programs, students seldom meet face-to-face with their teachers every weekday. It differs from a fully online course because face-to-face learning sessions are more than optional office hours or social events; they are required. - See more at: http://www.christenseninstitute.org/blended-learning-definitions-and-models/#sthash.NCQBMOAF.dpuf Next- Blended Learning and Career and Technology Education - Part III: Blended Learning Implications for CTE Full Article Blended Learning CareerTech Testing Center CareerTechEd CIMC ctYOUniverse Education Instruction Online Learning
learning Blended Learning and Career and Technology Education - Part III: Implications for Career and Technical Education By careertechtesting.blogspot.com Published On :: Mon, 02 May 2016 19:44:00 +0000 In this four-part series, I’ll define blended learning, discuss the models of blended learning, the implications for career and technical education, and how the Curriculum, Assessment, and Digital Delivery (CADD) areas of the Oklahoma Department of Career and Technology Education can assist in the implementation of blended learning. Here are several ways that blended learning can have a profound effect upon career and technology education: Personalized instruction – Blended learning allows for a more personalized and interactive learning experience by putting the student in charge of their own learning. Taking the best of traditional education and blending it with the power of online learning will provide the teacher an opportunity to review data, in the moment, determine where the student is at and to form instruction for the next period or the next day. Increased monitoring – The use of a student information, assessment, and gradebook systems that link to the LMS provides instant feedback on assignments and assessments. This allows the instructor to spend time reviewing student data, adjust instruction, and provide additional classroom or individual instruction. Open entry/Open exit – Blended learning fits nicely with competency-based learning and the concept of open entry/open exit. Personalized instruction and increased monitoring will allow the instructor to more accurately determine when tasks and competencies are achieved. Increased enrollments – Depending on the blended learning model and the CTE program being offered, enrollments could potentially be increased. Increased performance gains – “The Rise of K–12 Blended Learning - Profiles of emerging models” by Heather Staker profiles 40 educational entities. Not every school reported gains and some thought it was too early to verify results, but many posted positive gains when compared to the traditional classrooms within the same district. For example: “School of One - Students in summer 2009 acquired new math skills at a rate estimated to be seven times faster than peers. Students in spring 2010 showed gains that, when annualized, would equate to 1/2 to 2/3 of an additional year of gain. Students in spring 2010 showed significant gains across all academic quartiles.” Other potential benefits from this study include increased retention rates, an increase in teacher/parent contacts, increased course completion rates, a strengthening of curriculum offerings, and lower instructional costs. As you can see, blended learning can have the potential to benefit the student, the instructor, and the parents in a careertech setting. Again, I’m not aware of any research that helps decide if one model works better with any certain occupational area (if you know of any research in this area, PLEASE SHARE!!). Full Article Blended Learning CareerTechEd CTE CTE Education Education Instruction Online Learning Technology
learning Blended Learning and Career and Technology Education - Part IV: Implementing Blended Learning With Resources from the Oklahoma Department of Career and Technology Education By careertechtesting.blogspot.com Published On :: Tue, 07 Jun 2016 17:02:00 +0000 In this four-part series, I’ll define blended learning, discuss the models of blended learning, the implications for career and technical education, and how the Curriculum, Assessment, and Digital Delivery (CADD) areas of the Oklahoma Department of Career and Technology Education can assist in the implementation of blended learning. Photo courtesy of the Clayton Christensen Institute Blended learning is a shift to an online instructional delivery for a portion of the day to make students, teachers, and schools more productive, both academically and financially. We all know there’s no single right approach to building the “perfect” model for blended learning as communities have different resources, classrooms, computers, schedules, and many other unique needs. A school doesn’t always have the resources or the expertise to select and purchase a learning management system (LMS), design lessons, or write assessments, but there are available resources. Did you know that the Curriculum, Assessment, and Digital Delivery areas of the Oklahoma Department of Career and Technology Education can assist in the implementation of blended learning? The National Technology Plan acknowledges the challenges of raising college and career-ready standards without a significant investment of new funding so check out our online catalog and search the following links for additional information and see how we can assist you in blending digital and teacher led instruction to personalize learning for each student. CIMC CareerTech Testing Center ctYouniverse Full Article assessment Blended Learning CareerTech Testing Center CareerTechEd CIMC CTE ctYOUniverse Curriculum Education Instruction Leadership ODCTE Online Learning Skills Standards Study Guides Technology
learning 10 learning grammar challenges By www.usingenglish.com Published On :: Sun, 26 May 2024 08:31:53 +0000 New Articles Entry: '10 learning grammar challenges' has just been added to the Articles area of UsingEnglish.com. Full Article
learning 12 learning vocabulary challenges By www.usingenglish.com Published On :: Wed, 05 Jun 2024 22:30:12 +0000 New Articles Entry: '12 learning vocabulary challenges' has just been added to the Articles area of UsingEnglish.com. Full Article
learning Me and Orson Welles resource wins Learning on Screen Award By www.filmeducation.org Published On :: Mon, 04 Jul 2011 15:58:29 +0000 Our resource on Me and Orson Welles suitable for English, Media, Film and Theatre Studies has been awarded a Learning on Screen Award 2011. Request a copy now! Full Article
learning Learning on Screen Awards 2013: nomination By www.filmeducation.org Published On :: Tue, 12 Feb 2013 16:29:20 +0000 Film Education's Thinking Film, Thinking History: The Holocaust resource pack has been nominated in the 2013 Learning on Screen Awards Full Article
learning Owners of SuperTech University Credit Success in Cleaning to Continuous Learning By www.randrmagonline.com Published On :: Thu, 09 May 2024 09:00:00 -0400 In this episode of “TradeTalks: Unlocking The Experience”, R&R Publisher Mike Balzano talks with the Owners of SuperTech University and the creators and hosts of the Blue Collar Podcast, Eric Sprague and Larry Wilberton! Full Article
learning Tip of the Iceberg: A Preview of the Learning Opportunities at PACK EXPO By www.packagingstrategies.com Published On :: Thu, 24 Oct 2024 00:00:00 -0400 Packaging Strategies’ recent reporting on PACK EXPO International 2024 – though extensive – represents a mere fraction of the networking and expertise sharing that will take place at the event. Full Article
learning From Campus to Career: The Critical Importance of Experiential Learning in Workforce Preparation By destinationsinternational.org Published On :: Tue, 24 Sep 2024 16:52:48 +0000 From Campus to Career: The Critical Importance of Experiential Learning in Workforce Preparation jhammond@desti… Tue, 09/24/2024 - 16:52 Image Off From the lens of a student, workforce development in tourism relies on mentorship, internships, and real-world experiences. Engaging students early through meaningful industry connections prepares them to contribute actively, building confidence and shaping the future of the travel and tourism workforce. Payten Slack 4 min read September 24, 2024 Industry Events Spark Career Vision for Students Attending Destinations International’s Annual Convention for the first time in Tampa, Florida earlier this summer was both exciting and, to be honest, a bit intimidating. As a student stepping into a room filled with industry leaders and professionals, I couldn’t help but feel a sense of awe, and nerves. These were individuals who had already solidified their careers, shaping the future of destinations and tourism, while I was just beginning to imagine where my path might lead. Despite the initial butterflies, the more I interacted with these professionals, the more I realized they weren’t just leaders in the industry - they were also mentors and advocates for the next generation. They were eager to share insights, listen to fresh perspectives, and offer advice. Days after the convention ended, I found myself reflecting on those conversations, replaying sessions in my mind, and seeing my future more clearly than ever. As the days passed, I felt a bittersweet sense of closure because while the convention was over, I had a newfound excitement for what was to come. I kept thinking about my potential career, revisiting the ideas and discussions I’d experienced. These interactions shifted my mindset - I no longer felt like just a student. Watching the next class of 30 under 30, I could imagine myself on that stage one day, contributing to the industry. This realization boosted my confidence and solidified my commitment to pursuing a meaningful role in tourism. Experience Enables Students to Shape and Commit to the Industry's Future My experience at the Annual Convention was just one chapter in my broader journey with Destinations International. As a Professional Development intern, I’ve been involved in developing certificate programs, attending meetings with industry leaders, and contributing to event planning and content creation. These hands-on experiences have connected my course work to the real world, making my learning more authentic and relevant. As I partake in this work, I am gaining confidence, not just in my current role, but also in how my skills align with the future of the industry. As more students like me combine work with academic study, we begin to understand how our contributions can drive industry trends, innovations, and solutions. This balanced approach of connecting practical experience with academics produces well-rounded professionals who are ready to enter the field and also to shape its future. The travel and tourism industry thrives on adaptability and fresh ideas. Engaging students early ensures the next generation is prepared to embrace changes and push the industry forward. Internships and immersive learning are essential in developing professionals who are confident in their ability to lead in a rapidly evolving industry. A Student’s Insights on Building the Next-Generation Workforce From my perspective, building the future workforce is more than just filling roles - it’s about creating opportunities that allow students to fully involve themselves in the industry. DMOs and other industry leaders should focus on establishing personal connections through internships, shadowing, and professional development programs. These experiences create a sense of belonging and purpose, showing students how our work is actually valued. Workforce development isn’t just a marketing campaign - it’s about creating genuine, lasting relationships that inspire growth and passion. Mentorship is a crucial element in building a successful workforce. Passing on knowledge is important, but sharing enthusiasm for the industry is just as impactful. When mentors invest in students, they don’t just develop our skills - they also create a sense of pride and purpose in our work. Simple engagements, like inviting students to industry events or allowing them to shadow professionals, can make a significant impact. These moments of inclusion provide insight into the industry and help us build connections with professionals who can guide and inspire us. All in all, creating an environment where students feel valued and invested in is key to shaping the workforce of the future. Both students and industry professionals must be committed to this process. When students feel respected as contributors, we become more confident and motivated to shape our paths within the industry. The more engaged we are, the more we envision ourselves as future leaders, driving the travel and tourism landscape for years to come. As we work toward building the next generation of tourism professionals, I encourage destination leaders to consider how they can actively support their growth. One impactful way is by sponsoring local students to take part in Destinations International’s upcoming Business Intelligence Certificate program. With courses in Sales, Services, and Marketing and Communications, this program will provide emerging professionals with key skills in business events, such as decision-making, risk mitigation, and strategic planning. By investing in future leaders now with opportunities in professional development, such as the Business Intelligence Certificate, you’re ensuring they have the necessary tools to contribute to this growing and thriving industry. About the Author Payten Slack Professional Development Intern Destinations International Payten Slack is a first-generation college student from Orlando, Florida, and a junior at NYU’s School of Professional Studies, majoring in Hospitality, Travel, and Tourism Management with a concentration in Travel and Tourism Development. She is an active member of her school’s community and puts an emphasis on ensuring students are being well-represented on a university-wide level. Payten has gained hands-on experience through her role as a Professional Development intern at Destinations International and is committed to merging academic knowledge with real-world applications to better prepare the future workforce. chevron_right More from this Author Submit Your Thought Leadership Share your thought leadership with the Destinations International team! Learn how to submit a case study, blog or other piece of content to DI. Submit to DI Workforce Development Show Header? On Full Article
About the Author Payten Slack Professional Development Intern Destinations International Payten Slack is a first-generation college student from Orlando, Florida, and a junior at NYU’s School of Professional Studies, majoring in Hospitality, Travel, and Tourism Management with a concentration in Travel and Tourism Development. She is an active member of her school’s community and puts an emphasis on ensuring students are being well-represented on a university-wide level. Payten has gained hands-on experience through her role as a Professional Development intern at Destinations International and is committed to merging academic knowledge with real-world applications to better prepare the future workforce. chevron_right More from this Author
learning Learning Piano as an Adult – My Steps To Re-Learning The Piano By legacy.duetpartner.com Published On :: Mon, 26 Jun 2023 16:22:20 +0000 With all but one of my children driving and displaying functional levels of independence, I recently decided it was time for me to revisit one of my first loves: playing the piano. Full Article Inspiration adult piano lessons music lesson music studio music teacher music teaching piano lessons piano student piano studio
learning Learning Guitar By choirteachers.blogspot.com Published On :: Tue, 01 Jan 2013 16:04:00 +0000 The day we got out for Christmas break I felt the pressure of school lift off and decided I wanted to pull out the old guitar and give it another try. The thing is I don't really know how to play the guitar, I know how to play about 4 chords. Enter the iPad. I started searching for iPad apps that would help me learn a few Christmas songs and I stumbled across the app Four Chords. If you have ever played Guitar Hero or any game like it you will immediately feel at home. The App is Free but where they make their money is buy selling individual songs. The list of songs is not huge but they take requests and have a good section of Free songs as well. To be honest I mainly have used it so far to learn Christmas Songs and those were all free. After you select a song it shows you what chords you will need to know to play the selected song and shows you the fingering if you need it. When the song starts it looks a lot like guitar hero though it doesn't check if you are right or not so there is no score. Just strum when that chord lights up or if you want to get creative you can fill in the space with your own strumming pattern. It also has the lyrics on the screen so you can sing along. No score but if you feel like it there is the option to record yourself and share it with others. It has a video or just audio recording options. One of the thing that makes the app so great is that while you play the chords it provides the melody and or guitar sounds with you to help you stay on and guide you through the song. This is fully controllable so if you feel comfortable with the song you can turn those off and sing and play yourself when you are ready. This is a great app that I would recommend to all young and old. It makes you feel successful while learning a tough new talent and as any music teacher knows feeling successful and confidence are keys to learning. Full Article
learning #376: Getting Over the FUD and Learning to Love AI/ML By traffic.libsyn.com Published On :: Wed, 19 Feb 2020 04:30:00 +0000 Popular culture abounds with examples of artificial intelligence gone awry. From HAL 9000’s emotionless apology to a distressed astronaut, to the various incarnations of the Terminator, to the Matrix series’ disturbing vision of humans as batteries, it’s easy to see why people may be a bit leery of the idea of thinking machines.This program brings together a group of software developers to discuss why they are simultaneously excited by and concerned about AI. See the complete show notes here. Full Article
learning #381: The Transformative Potential of AI and Machine Learning: An Interview with Dr. Daniel Hulme By traffic.libsyn.com Published On :: Wed, 17 Jun 2020 09:00:00 +0000 Groundbreaker Podcast associate producer Javed Mohammed [@JavedMohammed] first encountered Dr. Hulme in January 2020 at Oracle OpenWorld Middle East in Dubai, where Dr. Hulme, a featured speaker, delivered a session on “AI and the Future of Business” as part of the Transformational Technologies track. ”I was so impressed with his vision and his unconventional thinking,” Javed says. This program, which features Javed’s conversation with Dr. Hulme, grew out of their meeting in Dubai. Full Article
learning #386: AI and Machine Learning the Good the Bad and the Future By traffic.libsyn.com Published On :: Wed, 21 Oct 2020 09:00:00 +0000 In this conversation Oracle Community Manager Javed Mohammed speaks with three AI-ML experts. Autonomous technologies such as artificial intelligence (AI) and machine learning (ML) are on the tip of every tongue in tech. But what is the difference between AI and ML? What are interesting use cases? What is “under the hood” of AI/ML and the algorithms that power ML models? We have three Subject Matter Experts who share their insights into a fascinating and at times humorous conversation. Charlie Berger, Sr. Director of Product Management for Machine Learning, AI and Cognitive Analytics at Oracle. Heli Helskyaho, CEO Miracle Finland Oracle ACE Director, Groundbreaker Ambassador. Author. Doctoral student, University of Helsinki. Also known as HeliFromFinland. Katharine Jarmul, Head of Product at Cape Privacy, she is a Privacy activist, AI dissenter, machine learning engineer. Author and teacher for O'Reilly. Listen to learn about what makes AI and ML solutions powerful as well as the challenges we face from them. Charlie, Heli and Katharine explain some of the fundamentals about this revolutionary technology but also share personal stories which make for a memorable Podcast. Read the complete show notes here. Full Article
learning Red Bull Racing Honda and Oracle Team up on a Series of Machine Learning HOLs By traffic.libsyn.com Published On :: Fri, 06 Aug 2021 13:56:09 +0000 Red Bull Racing Honda and Oracle Team up on a Series of Machine Learning HOLs — First Lab for Beginners on Wednesday August 11 at 8 AM PST Jim Grisanzio and Chris Bensen from Oracle Developer Relations preview the first in a series of unique hands-on labs. Starting on August 11 at 8 AM PST developers will have the opportunity to team up with Red Bull Racing Honda and Oracle in a hands-on lab that uses race data to teach machine learning. Video. Register for the lab here! Same link for on demand! Podcast Host: Jim Grisanzio, Oracle Developer Relations https://twitter.com/jimgris https://developer.oracle.com/team/ Full Article
learning Josiah Davisson: Learning Java in High School By dukescorner.libsyn.com Published On :: Mon, 28 Aug 2023 11:40:23 +0000 Jim Grisanzio from Java Developer Relations talks with Josiah Davisson, a teacher from A-TECH (Advanced Technologies Academy) in Las Vegas, Nevada, about his experiences teaching Java to high school students. Josiah is passionate about learning technology himself and also teaching Java to his students so they are fully empowered to enter the software industry directly or go on to seek further computer science education in college. If you'd like to contact Josiah, ping him at Davisjm4@nv.ccsd.net. You can find Jim @jimgris on Twitter or at jim.grisanzio@oracle.com Full Article
learning Jeanne Boyarsky on Java, Learning, and Contributing By dukescorner.libsyn.com Published On :: Wed, 17 Jan 2024 16:26:58 +0000 Jim Grisanzio from Java Developer Relations talks with Jeanne Boyarsky, a Java developer and Java Champion based in New York City. The conversation covers the evolution of Java, some of the core features of the language and platform, contributing to the Open Source community, and how developers learn and keep up with the technology. Jeanne knew she wanted to do something with computers when she first visited the computer museum — at age five! Check out her story right here. She'll inspire you to focus and learn what you love. Jeanne on Twitter: @jeanneboyarsky Jim on Twitter: @jimgris Full Article
learning Mark Baker Found Learning Opportunities Through Facilities Management By www.facilitiesnet.com Published On :: Fri, 8 Nov 2024 00:00:00 CST Full Article
learning [ M.3387 (03/24) ] - Management requirements for federated machine learning systems By www.itu.int Published On :: Mon, 24 Jun 2024 13:45:00 GMT Management requirements for federated machine learning systems Full Article
learning [ Y.3175 (04/20) ] - Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network By www.itu.int Published On :: Wed, 12 May 2021 15:36:00 GMT Functional architecture of machine learning-based quality of service assurance for the IMT-2020 network Full Article
learning [ Y.3174 (02/20) ] - Framework for data handling to enable machine learning in future networks including IMT-2020 By www.itu.int Published On :: Wed, 12 May 2021 15:36:00 GMT Framework for data handling to enable machine learning in future networks including IMT-2020 Full Article
learning [ Y.3179 (04/21) ] - Architectural framework for machine learning model serving in future networks including IMT-2020 By www.itu.int Published On :: Tue, 01 Jun 2021 10:35:00 GMT Architectural framework for machine learning model serving in future networks including IMT-2020 Full Article
learning [ Y.Sup70 (07/21) ] - ITU-T Y.3800-series - Quantum key distribution networks - Applications of machine learning By www.itu.int Published On :: Thu, 30 Sep 2021 08:35:00 GMT ITU-T Y.3800-series - Quantum key distribution networks - Applications of machine learning Full Article
learning [ Y.2246 (09/21) ] - Smart farming education service based on u-learning environment By www.itu.int Published On :: Thu, 04 Nov 2021 11:04:00 GMT Smart farming education service based on u-learning environment Full Article
learning FIGI - DFS - Big data machine learning consumer protection and privacy By www.itu.int Published On :: Fri, 18 Mar 2022 16:39:26 GMT FIGI - DFS - Big data machine learning consumer protection and privacy Full Article
learning TR.sgfdm - FHE-based data collaboration in machine learning By www.itu.int Published On :: Wed, 08 May 2024 11:21:40 GMT TR.sgfdm - FHE-based data collaboration in machine learning Full Article
learning [ F.748.12 (06/21) ] - Deep learning software framework evaluation methodology By www.itu.int Published On :: Wed, 28 Jul 2021 14:48:00 GMT Deep learning software framework evaluation methodology Full Article
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learning Gilad Gressel On Why You Should Watch His Newest Course: Deep Learning With Python By blog.ine.com Published On :: Fri, 21 Sep 2018 14:34:02 +0000 Hi, my name is Gilad Gressel and I’d like to tell you about my new course: Deep Learning with Python. Deep learning is an old technology that has recently been sweeping through the field of machine learning and artificial intelligence. Deep learning powers many of the cutting edge technologies that appear to be “magic” in [...] Full Article product updates
learning SAM Labs blocks put students in charge of creative learning By www.ilearntechnology.com Published On :: Sun, 08 Jul 2018 22:29:24 +0000 What it is: Recently, the good people at SAM Labs sent me an Alpha Kit to play with and review. You guys, this is such a cool product! I love that as soon as students open it up, it puts them in charge of the learning. Best of all, it encourages the learning to happen... Full Article Analyze Anastasis Academy Apply Art Create Evaluate Fun & Games Inquiry iOS Language Arts Maker Space Math Middle/High School Music Primary Elementary Science Secondary Elementary Teacher Resources Technology Understand (describe explain) Websites app build circuits creativity experiment inquiry LEGO maker space maths numeracy programming prototype lab SAM labs STEAM STEM technology temperature
learning Why learning 10 programming languages doesn’t make you a more interesting job candidate By thenextweb.com Published On :: Tue, 12 Nov 2024 09:14:34 +0000 New data from LinkedIn on the most in-demand jobs on the platform in the third quarter of this year reveals that software engineering is in second place. Just pipped to the post by sales roles, it is clear that software engineering and development pros are in high demand. Additionally, full stack engineers and application developers feature in the top ten in-demand roles at places eight and ten respectively. Software roles are in such high prominence because software powers pretty much everything. According to McKinsey, these days, “Every company is a software company.” Traditional bricks and mortar businesses are now increasingly…This story continues at The Next Web Full Article Insider Future of work
learning Zebra Technologies adds new deep learning tools to Aurora machine vision software By www.logisticsit.com Published On :: Sat, 13 Nov 7700 17:25:52 +0000 Zebra Technologies Corporation – the digital solution provider enabling businesses to intelligently connect data, assets and people – has introduced a series of advanced AI features enhancing its Aurora machine vision software to provide deep learning capabilities for complex visual inspection use cases. Full Article
learning DoD seeks to create ‘culture of learning’ through CDAO By federalnewsnetwork.com Published On :: Fri, 27 Sep 2024 21:49:51 +0000 Christopher Skaluba, the executive director in the DoD CDAO, said the office is creating tools to provide data-driven insights on AI workforce needs. The post DoD seeks to create ‘culture of learning’ through CDAO first appeared on Federal News Network. Full Article All News Artificial Intelligence Ask the CIO Ask the CIO Podcasts Defense Defense News Radio Interviews Technology Chief Digital and Artificial Intelligence Office Chris Skaluba reskilling training upskilling
learning Federal Executive Forum Artificial Intelligence & Machine Learning Strategies in Government Progress and Best Practices 2024 By federalnewsnetwork.com Published On :: Mon, 25 Mar 2024 13:43:12 +0000 How are AI/ML strategies evolving to meet tomorrow’s mission? The post Federal Executive Forum Artificial Intelligence & Machine Learning Strategies in Government Progress and Best Practices 2024 first appeared on Federal News Network. Full Article Artificial Intelligence Federal Executive Forum Federal Insights Radio Interviews Technology Dimitri Kusnezov Katie Tierney Luke McCormack Matthew Graviss Michael Hardee Ramesh Menon Shane Barney Sujit Mohanty Trezza Media Group
learning Learning Language Like a Baby Could Help Adults Learn a Second Language Easier By www.discovermagazine.com Published On :: Mon, 26 Aug 2024 15:00:00 GMT The comprehensible input method of language learning says you can learn a second language the way you learned your first. Full Article Mind
