e learning A Web-based Automated Machine Learning Platform to Analyze Liquid Biopsy Data By feeds.rsc.org Published On :: Lab Chip, 2020, Accepted ManuscriptDOI: 10.1039/D0LC00096E, PaperHanfei Shen, Tony Liu, Jesse Cui, Piyush Borole, Ari Benjamin, Konrad Kording, David IssadoreLiquid biopsy (LB) technologies continue to improve in sensitivity, specificity, and multiplexing and can measure an ever growing library of disease biomarkers. However, clinical interpretation of the increasingly large sets...The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning [ASAP] LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening By feedproxy.google.com Published On :: Thu, 23 Apr 2020 04:00:00 GMT Journal of Chemical Information and ModelingDOI: 10.1021/acs.jcim.0c00155 Full Article
e learning [ASAP] Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge By feedproxy.google.com Published On :: Wed, 29 Apr 2020 04:00:00 GMT Journal of Chemical Information and ModelingDOI: 10.1021/acs.jcim.0c00199 Full Article
e learning [ASAP] Deep Dive into Machine Learning Models for Protein Engineering By feedproxy.google.com Published On :: Tue, 05 May 2020 04:00:00 GMT Journal of Chemical Information and ModelingDOI: 10.1021/acs.jcim.0c00073 Full Article
e learning Associative learning and cognition: homage to Professor N. J. Mackintosh. In memoriam (1935-2015) / edited by J.B. Trobalon, V.D. Chamizo By library.mit.edu Published On :: Sun, 21 Jan 2018 06:57:47 EST Hayden Library - QL785.A85 2016 Full Article
e learning Signal processing and machine learning for brain-machine interfaces / edited by Toshihisa Tanaka and Mahnaz Arvaneh By library.mit.edu Published On :: Sun, 21 Jul 2019 08:44:58 EDT Barker Library - QP360.7.S54 2018 Full Article
e learning [ASAP] Optimized Multimetal Sensitized Phosphor for Enhanced Red Up-Conversion Luminescence by Machine Learning By feedproxy.google.com Published On :: Sun, 26 Apr 2020 04:00:00 GMT ACS Combinatorial ScienceDOI: 10.1021/acscombsci.0c00035 Full Article
e learning Podcast: Watching shoes untie, Cassini’s last dive through the breath of a cryovolcano, and how human bias influences machine learning By traffic.omny.fm Published On :: Thu, 13 Apr 2017 14:00:00 -0400 This week, walk like an elephant—very far, with seeds in your guts, Cassini’s mission to Saturn wraps up with news on the habitability of its icy moon Enceladus, and how our shoes manage to untie themselves with Online News Editor David Grimm. Aylin Caliskan joins Sarah Crespi to discuss how biases in our writing may be perpetuated by the machines that learn from them. Listen to previous podcasts. Download the show transcript. Transcripts courtesy of Scribie.com. [Image: NASA/JPL-Caltech; Music: Jeffrey Cook] Full Article Scientific Community
e learning Machine learning for signal processing : data science, algorithms, and computational statistics / Max A. Little By prospero.murdoch.edu.au Published On :: Little, Max A., author Full Article
e learning Iterative learning control for flexible structures Tingting Meng, Wei He By library.mit.edu Published On :: Sun, 3 May 2020 06:37:44 EDT Online Resource Full Article
e learning [ASAP] Using Machine Learning to Predict the Dissociation Energy of Organic Carbonyls By feedproxy.google.com Published On :: Fri, 01 May 2020 04:00:00 GMT The Journal of Physical Chemistry ADOI: 10.1021/acs.jpca.0c01280 Full Article
e learning Machine learning in aquaculture: hunger classification of Lates Calcarifer / Mohd Azraai Mohd Razman, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Zahari Taha, Gian-Antonio Susto, Yukinori Mukai By library.mit.edu Published On :: Sun, 16 Feb 2020 07:32:02 EST Online Resource Full Article
e learning Extending the Scalability of Linkage Learning Genetic Algorithms [electronic resource] / Ying-ping Chen By darius.uleth.ca Published On :: Secaucus : Springer, 2006 Full Article
e learning 173 JSJ Online Learning with Gregg Pollack By devchat.tv Published On :: Wed, 19 Aug 2015 11:00:00 -0400 Check out Angular Remote Conf! 02:55 - Gregg Pollack Introduction Twitter GitHub Envy Labs @envylabs Code School @codeschool Starter Studio 05:19 - Code School Rails for Zombies Try Ruby 06:49 - Course Content Code School Angular.js Courses Breaking the Ice with Regular Expressions The Fundamentals of Design 09:42 - Plots & Storylines 11:40 - Code School vs Pluralsight 14:09 - Structuring Courses Frontend vs Backend Building Blocks of Express.js Real-Time Web with Node.js Security & Sandboxing abecedary Mocha 18:21 - JavaScript.com Try jQuery Contributing to JavaScript.com Let Us Know Try JavaScript Resources 22:47 - Designing Exercises & Challenges abecedary Chai 30:31 - The Future of Online Learning Thinkful Bloc.io AirPair HackHands Smarterer 34:01 - Teaching Best Practices Picks Mr. Robot (Gregg) #ILookLikeAnEngineer (Aimee) Why we Need WebAssembly An Interview with Brendan Eich (Aimee) Raspberry Pi 2 Model B (AJ) Periscope (Chuck) Full Article
e learning JSJ 278 Machine Learning with Tyler Renelle By devchat.tv Published On :: Tue, 12 Sep 2017 08:00:00 -0400 Tweet this Episode Tyler Renelle is a contractor and developer who has worked in various web technologies like Node, Angular, Rails, and much more. He's also build machine learning backends in Python (Flask), Tensorflow, and Neural Networks. The JavaScript Jabber panel dives into Machine Learning with Tyler Renelle. Specifically, they go into what is emerging in machine learning and artificial intelligence and what that means for programmers and programming jobs. This episode dives into: Whether machine learning will replace programming jobs Economic automation Which platforms and languages to use to get into machine learning and much, much more... Links: Raspberry Pi Arduino Hacker News Neural Networks (wikipedia) Deep Mind Shallow Algorithms Genetic Algorithms Crisper gene editing Wix thegrid.io Codeschool Codecademy Tensorflow Keras Machine Learning Guide Andrew Ng Coursera Course Python R Java Torch PyTorch Caffe Scikit learn Tensorfire DeepLearn.js The Singularity is Near by Ray Kurzweil Tensorforce Super Intelligence by Nick Bostrom Picks: Aimee Include media Nodevember Phone cases AJ Data Skeptic Ready Player One Joe Everybody Lies Tyler Ex Machina Philosophy of Mind: Brains, Consciousness, and Thinking Machines Full Article
e learning JSJ 405: Machine Learning with Gant Laborde By devchat.tv Published On :: Thu, 31 Oct 2019 06:00:00 -0400 Gant Laborde is the Chief Innovation Officer of Infinite Red who is working on a course for beginners on machine learning. There is a lot of gatekeeping with machine learning, and this attitude that only people with PhDs should touch it. In spite of this, Gant thinks that in the next 5 years everyone will be using machine learning, and that it will be pioneered by web developers. One of the strong points of the web is experimentation, and Gant contrasts this to the academic approach. They conversation turns to Gant’s course on machine learning and how it is structured. He stresses the importance of understanding unicode, assembly, and other higher concepts. In his course he gives you the resources to go deeper and talks about libraries and frameworks available that can get you started right away. His first lesson is a splashdown into the jargon of machine learning, which he maps over into developer terms. After a little JavaScript kung fu, he takes some tools that are already out there and converts it into a website. Chris and Gant discuss some different uses for machine learning and how it can improve development. One of the biggest applications they see is to train the computers to figure monotonous tasks out while the human beings focus on other projects, such as watching security camera footage and identifying images. Gant restates his belief that in the next 5 years, AI will be everywhere. People will grab the boring things first, then they will go for the exciting things. Gant talks about his creation NSFW.js, an open source train model to help you catch indecent content. He and Chris discuss different applications for this technology. Next, the panel discusses where machine learning can be seen in everyday life, especially in big companies such as Google. They cite completing your sentences in an email for you as an example of machine learning. They talk about the ethics of machine learning, especially concerning security and personal data. They anticipate that the next problem is edge devices for AI, and this is where JavaScript really comes in, because security and privacy concerns require a developer mindset. They also believe that personal assistant devices, like those from Amazon and Google, will become even more personal through machine learning. They talk about some of the ways that personal assistant devices will improve through machine learning, such as recognizing your voice or understanding your accent. Their next topic of discussion is authenticity, and how computers are actually incredibly good at finding deep fakes. They discuss the practice of placing passed away people into movies as one of the applications of machine learning, and the ethics surrounding that. Since developers tend to be worried about inclusions, ethics, and the implications of things, Gant believes that these are the people he wants to have control over what AI is going to do to help build a more conscious data set. The show concludes with Gant talking about the resources to help you get started with machine learning. He is a panelist on upcoming DevChat show, Adventures in Machine Learning. He has worked with people with all kinds of skill sets and has found that it doesn’t matter how much you know, it matters how interested and passionate you are about learning. If you’re willing to put the pedal to the metal for at least a month, you can come out with a basic understanding. Chris and Gant talk about Tensorflow, which helps you take care of machine learning at a higher level for fast operations without calculus. Gant is working on putting together a course on Tensorflow. If you’re interested in machine learning, go to academy.infinite.red to sign up for Gant’s course. He also announces that they will be having a sale on Black Friday and Cyber Monday. Panelists Christopher Buecheler With special guest: Gant Laborde Sponsors React Round Up Sentry use the code “devchat” for 2 months free on Sentry’s small plan Adventures in Angular Links Machine Learning: How To go from Zero to Hero NSFW.js Tensorflow.js PyTorch Keras Academy.infinite.red Gantlaborde.com Follow DevChatTV on Facebook and Twitter Picks Christopher Buecheler: Next.js Big Wreck, But For The Sun Gant Laborde: Nicornot.com Free 5 day mini course on academy.infinite.red Full Article
e learning The Learning Curve for Shared Decision-making in Symptomatic Aortic Stenosis By jamanetwork.com Published On :: Wed, 01 Apr 2020 00:00:00 GMT This mixed-methods pilot study examines whether the repeated use of a decision aid by heart teams was associated with greater shared decision-making, along with improved patient-centered outcomes and clinicians’ attitudes about decision aids. Full Article
e learning Dealing with emotions: a pedagogical challenge to innovative learning / edited by Birthe Lund and Tatiana Chemi By library.mit.edu Published On :: Sun, 26 Jul 2015 06:17:38 EDT Online Resource Full Article
e learning A novel idea: researching transformative learning in fiction / Randee Lipson Lawrence and Patricia Cranton By library.mit.edu Published On :: Sun, 26 Jul 2015 06:17:38 EDT Online Resource Full Article
e learning Visible learning and the science of how we learn / John Hattie and Gregory C.R. Yates By library.mit.edu Published On :: Sun, 2 Aug 2015 06:16:31 EDT Hayden Library - LB1067.5.H36 2014 Full Article
e learning Technology in education: technology-mediated proactive learning: second International Conference, ICTE 2015, Hong Kong, China, July 2-4, 2015, Revised selected papers / Jeanne Lam, Kwan Keung Ng, Simon K.S. Cheung, Tak Lam Wong, Kam Cheong Li, Fu Lee Wang By library.mit.edu Published On :: Sun, 24 Jan 2016 06:20:51 EST Online Resource Full Article
e learning The Mobile Learning Voyage - From Small Ripples to Massive Open Waters: 14th World Conference on Mobile and Contextual Learning, mLearn 2015, Venice, Italy, October 17-24, 2015, proceedings / edited by Tom H. Brown, Herman J. van der Merwe By library.mit.edu Published On :: Sun, 24 Jan 2016 06:20:51 EST Online Resource Full Article
e learning Schooling redesigned: towards innovative learning systems. By library.mit.edu Published On :: Sun, 28 Feb 2016 06:10:02 EST Online Resource Full Article
e learning Mobile, ubiquitous, and pervasive learning: fundaments, applications, and trends / Alejandro Peña-Ayala, editor By library.mit.edu Published On :: Sun, 6 Mar 2016 06:11:21 EST Online Resource Full Article
e learning [ASAP] Discovery of Self-Assembling p-Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular Simulation By feedproxy.google.com Published On :: Mon, 30 Mar 2020 04:00:00 GMT The Journal of Physical Chemistry BDOI: 10.1021/acs.jpcb.0c00708 Full Article
e learning [ASAP] Lithium Ion Conduction in Cathode Coating Materials from On-the-Fly Machine Learning By feedproxy.google.com Published On :: Sun, 26 Apr 2020 04:00:00 GMT Chemistry of MaterialsDOI: 10.1021/acs.chemmater.9b04663 Full Article
e learning [ASAP] Toward Designing Highly Conductive Polymer Electrolytes by Machine Learning Assisted Coarse-Grained Molecular Dynamics By feedproxy.google.com Published On :: Tue, 05 May 2020 04:00:00 GMT Chemistry of MaterialsDOI: 10.1021/acs.chemmater.9b04830 Full Article
e learning ITT Technical Institute Learning Center By digital.lib.usf.edu Published On :: Mon, 20 Jan 2014 11:55:10 -0400 Full Article
e learning Building online learning By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:06:00 -0400 Full Article
e learning Feedback in distance learning By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:11:00 -0400 Full Article
e learning Are preservice instructional designers adequately prepared for tomorrow's diverse learning audiences? By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:11:04 -0400 Full Article
e learning Improving the environment in distance learning courses through the application of aesthetic principles By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:14:41 -0400 Full Article
e learning Process monitoring and feedback control using multiresolution analysis and machine learning By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:24:07 -0400 Full Article
e learning Preservice teachers' belief development while learning to teach writing in an elementary writing methods course By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:24:26 -0400 Full Article
e learning A study of machine learning performance in the prediction of juvenile diabetes from clinical test results By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:32:55 -0400 Full Article
e learning Maximizing the educational effects of collaborative learning By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:36:15 -0400 Full Article
e learning Effects of dual language learning on early language and literacy skills in low income preschool students By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:43:28 -0400 Full Article
e learning Comparison of student outcomes in distance learning internships versus traditional dietetic internships By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:46:04 -0400 Full Article
e learning An investigation of the online learning environment in higher education through the observations and perceptions of students of color By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:53:04 -0400 Full Article
e learning The far reaching impact of transformative learning By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:53:23 -0400 Full Article
e learning Relationships among language use, phonological skill, and vocabulary in English language learning preschoolers By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:53:51 -0400 Full Article
e learning Culture learning in Spanish companion book websites By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:57:39 -0400 Full Article
e learning Transformational processes and learner outcomes for online learning By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 18:59:50 -0400 Full Article
e learning Development and validation of a web-based module to teach metacognitive learning strategies to students in higher education By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 19:02:22 -0400 Full Article
e learning Speech recognition software for language learning By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 19:07:35 -0400 Full Article
e learning Local environmental perceptions and cognitive and affective learning in a rural, andean community in mollepata, peru By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 19:11:53 -0400 Full Article
e learning Ensemble learning with imbalanced data By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 19:19:57 -0400 Full Article
e learning The impact of an online learning community project on university chinese as a foreign language students' motivation By digital.lib.usf.edu Published On :: Sat, 15 Feb 2014 19:22:21 -0400 Full Article
e learning Associative learning in relation to foraging of Neotropical stingless bee Trigona By digital.lib.usf.edu Published On :: Fri, 21 Mar 2014 14:01:21 -0400 Full Article
e learning Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes / Arjun Panesar By library.mit.edu Published On :: Sun, 16 Feb 2020 07:32:02 EST Online Resource Full Article
