learning Next-Generation Machine Learning with Spark: Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and More / Butch Quinto By library.mit.edu Published On :: Sun, 5 Apr 2020 06:39:21 EDT Online Resource Full Article
learning Machine learning and knowledge discovery in databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, proceedings. / Peggy Cellier, Kurt Driessens (eds.) By library.mit.edu Published On :: Sun, 26 Apr 2020 07:06:33 EDT Online Resource Full Article
learning Machine learning and knowledge discovery in databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, proceedings. / Peggy Cellier, Kurt Driessens (eds.) By library.mit.edu Published On :: Sun, 26 Apr 2020 07:06:33 EDT Online Resource Full Article
learning Machine learning for intelligent decision science Jitendra Kumar Rout, Minakhi Rout, Himansu Das, editors By library.mit.edu Published On :: Sun, 3 May 2020 07:23:24 EDT Online Resource Full Article
learning Machine learning and information processing: proceedings of ICMLIP 2019 / Debabala Swain, Prasant Kumar Pattnaik, Pradeep K. Gupta, editors By library.mit.edu Published On :: Sun, 3 May 2020 07:23:24 EDT Online Resource Full Article
learning A high-throughput system combining microfluidic hydrogel droplets with deep learning for screening the antisolvent-crystallization conditions of active pharmaceutical ingredient By feeds.rsc.org Published On :: Lab Chip, 2020, Accepted ManuscriptDOI: 10.1039/D0LC00153H, PaperZhening Su, Jinxu He, Peipei Zhou, Lu Huang, Jianhua ZhouCrystallization of active pharmaceutical ingredients (APIs) is a crucial process in the pharmaceutical industry due to its great impact in drug efficacy. However, conventional approaches for screening the optimal crystallization...The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
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
learning [ASAP] Combining Docking Pose Rank and Structure with Deep Learning Improves Protein–Ligand Binding Mode Prediction over a Baseline Docking Approach By feedproxy.google.com Published On :: Tue, 03 Mar 2020 05:00:00 GMT Journal of Chemical Information and ModelingDOI: 10.1021/acs.jcim.9b00927 Full Article
learning [ASAP] Cov_FB3D: A De Novo Covalent Drug Design Protocol Integrating the BA-SAMP Strategy and Machine-Learning-Based Synthetic Tractability Evaluation By feedproxy.google.com Published On :: Thu, 09 Apr 2020 04:00:00 GMT Journal of Chemical Information and ModelingDOI: 10.1021/acs.jcim.9b01197 Full Article
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
learning [ASAP] Evaluating Scalable Uncertainty Estimation Methods for Deep Learning-Based Molecular Property Prediction By feedproxy.google.com Published On :: Fri, 24 Apr 2020 04:00:00 GMT Journal of Chemical Information and ModelingDOI: 10.1021/acs.jcim.9b00975 Full Article
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
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
learning [ASAP] BIreactive: A Machine-Learning Model to Estimate Covalent Warhead Reactivity By feedproxy.google.com Published On :: Wed, 06 May 2020 04:00:00 GMT Journal of Chemical Information and ModelingDOI: 10.1021/acs.jcim.9b01058 Full Article
learning Turn It and Turn It Again: Studies in the Teaching and Learning of Classical Jewish Texts By library.mit.edu Published On :: Sun, 10 Nov 2019 06:46:05 EST Online Resource Full Article
learning Brain function assessment in learning: first International Conference, BFAL 2017, Patras, Greece, September 24-25, 2017, proceedings / Claude Frasson, George Kostopoulos (eds.) By library.mit.edu Published On :: Sun, 22 Oct 2017 06:29:07 EDT Online Resource Full Article
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
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
learning Lanthanum chloride impairs spatial learning and memory by inducing [Ca2+]m overload, mitochondrial fission–fusion disorder and excessive mitophagy in hippocampal nerve cells of rats By feeds.rsc.org Published On :: Metallomics, 2020, 12,592-606DOI: 10.1039/C9MT00291J, PaperMiao Yu, Jinghua Yang, Xiang Gao, Wenchang Sun, Shiyu Liu, Yarao Han, Xiaobo Lu, Cuihong Jin, Shengwen Wu, Yuan CaiLanthanum chloride damages hippocampal nerve cells of rats through inducing [Ca2+]m overload, mitochondrial fission–fusion disorder, and excessive mitophagy.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
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
learning Zhong wai da xue jiao xue fa zhan zhong xin yan jiu = Research on teaching and learning centers of Chinese and foreign research universities / zhu bian Wang Xia ; fu zhu bian Cui Jun By prospero.murdoch.edu.au Published On :: Full Article
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
learning A deep learning approach to identify association of disease–gene using information of disease symptoms and protein sequences By feeds.rsc.org Published On :: Anal. Methods, 2020, 12,2016-2026DOI: 10.1039/C9AY02333J, PaperXingyu Chen, Qixing Huang, Yang Wang, Jinlong Li, Haiyan Liu, Yun Xie, Zong Dai, Xiaoyong Zou, Zhanchao LiPrediction of disease–gene association based on a deep convolutional neural network.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
learning Learning Regression Analysis by Simulation [electronic resource] / by Kunio Takezawa By darius.uleth.ca Published On :: Tokyo : Springer Japan : Imprint: Springer, 2014 Full Article
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
learning Handbook of research on machine and deep learning applications for cyber security / [edited by] Padmavathi Ganapathi and D. Shanmugapriya By prospero.murdoch.edu.au Published On :: Full Article
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
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
learning Assistive Technology Services for Youth in the Vermont Linking Learning to Careers Program By www.mathematica.org Published On :: Thu, 20 Feb 2020 16:16:00 Z The Vermont Division of Vocational Rehabilitation’s Linking Learning to Careers (LLC) program provides enhanced services to help high school students with disabilities as they make the transition to careers or postsecondary education. These enhanced services include access to assistive technology. Full Article
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
learning Learning one's native tongue: citizenship, contestation, and conflict in America / Tracy B. Strong By library.mit.edu Published On :: Sun, 5 Apr 2020 07:47:23 EDT Dewey Library - JK1759.S87 2019 Full Article
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
learning 030 JSJ Learning & Teaching JavaScript with Noel Rappin By devchat.tv Published On :: Thu, 04 Oct 2012 05:00:00 -0400 Panel Noel Rappin (twitter github blog) Jamison Dance (twitter github blog) Charles Max Wood (twitter github Teach Me To Code Intro to CoffeeScript) AJ O’Neal (twitter github blog) Discussion 00:52 - Works in training and talent development for Groupon 00:56 - Author of Rails Test Prescriptions and upcoming Master Space and Time with JavaScript 01:21 - Writing a book about JavaScript 02:33 - Focus of the book Part 1: Jasmine and jQuery and the JavaScript Object Model Part 2: Extended examples of jQuery Part 3: Backbone Part 4: Ember 03:46 - Self-published authors 05:15 - Approaches and mindsets to learning JavaScript 06:04 - “Gotchas!” and bad features in Javascript 09:17 - Modeling JavaScript for beginners 11:23 - (AJ joins the podcast) 11:42 - Resources/Classes for learning JavaScript Good Parts Book: Douglas Crockford JavaScript Patterns: Stoyan Stefanov Eloquent JavaScript: A Modern Introduction to Programming: Marijn Haverbeke Maintainable JavaScript: Nicholas C. Zakas 13:54 - Hiring people with JavaScript experience at Groupon 15:12 - Training workshops 17:00 - Getting new hires up to speed quickly Pairing Mentoring Lectures Workshops 21:38 - Book Learning You can learn at your own pace But it’s hard to ask questions to a book 22:51 - How Noel gained expertise in JavaScript 24:38 - Code reading and learning to program a language 26:18 - Teaching people JavaScript as their very first language 31:55 - Classroom layout 33:42 - Online training Kahn Academy Computer Science Code Academy Starter League 40:00 - Finding a mentor Stack Overflow Picks Shrines by Purity Ring (Jamison) Learnable Programming: Bret Victor (Jamison) Mob Software: Richard P. Gabriel & Ron Goldman (Jamison) Monoprice.com (AJ) ZREO: Zelda Reorchestrated (AJ) The Official Twitter App (Chuck) Fluid App (Chuck) Try Jasmine! (Noel) Justin Searls (Noel) The Atrocity Archives: Charles Stross (Noel) Futurity: A Musical by The Lisps (Noel) Transcript NOEL: I’m trying to figure out where the chat is in this stupid Skype interface. JAMISON: Just imagine the worst place it could possibly be and that’s where it is. [This episode is sponsored by ComponentOne, makers of Wijmo. If you need stunning UI elements or awesome graphs and charts, then go to wijmo.com and check them out.] [Hosting and bandwidth provided by The Blue Box Group. Check them out at bluebox.net] CHUCK: Hey everybody and welcome to Episode 30 of the JavaScript Jabber show! This week on our panel we have, Jamison Dance. JAMISON: Hey guys! CHUCK: I’m Charles Max Wood from devchat.tv and this week, we have a special guest and that’s Noel Rappin! NOEL: Hey everybody! CHUCK: For the people who don’t know who you are, you want to introduce yourself, Noel? NOEL: Sure. I currently work in training and talent development for Groupon. And I am the author of previously “Rails Test Prescriptions” and currently a self-published book called “Master Time and Space with JavaScript”, which you can get at noelrappin.com. I need to spell that out, right? N-o-e-l-r-a-p-p-i-n.com CHUCK: So I’m little curious, before we get into the topic which is learning and teaching JavaScript, how did you get into writing a book about JavaScript? What’s your background there? NOEL: You know, it actually relates to teaching and learning JavaScript. I think, I was like… a lot of long time web devs. I spent my first round as a web consultant in around, turn of the century 2000’s. I spent time trying to talk clients out of JavaScript stuff because it was such a pain in the neck. And I kind of got away from it for awhile and came back a couple of years ago to realize that basically, everything had changed and they were actually usable tools now. And last summer, I was working with a… at that time, Full Article
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
learning 219 JSJ Learning JavaScript in 2016 By devchat.tv Published On :: Wed, 06 Jul 2016 09:00:00 -0400 Check out Newbie Remote Conf! 02:44 - What it Takes to Learn JavaScript in 2016 04:03 - Resources: Then vs Now 09:42 - Are there prerequisites? Should you have experience? 20:34 - Choosing What to Learn The iPhreaks Show Episode #153: Using Mobile Devices to Manage Diabetes with Scott Hanselman 28:19 - Deciding What to Learn Next 31:19 - Keeping Up: Obligations As a Developer 34:22 - Deciding What to Learn Next (Cont’d) 42:01 - Recommendations You-Dont-Know-JS gulp.js webpack The Little Schemer Designing Data-Intensive Applications by Martin Kleppmann Picks accidentally nonblocking (Jamison) choo (Jamison) Web Rebels (Jamison) React Rally (Jamison) Grab The Gold (Aimee) node-for-beginners (Aimee) Procrastinate On Purpose by Rory Vaden (Chuck) Newbie Remote Conf (Chuck) Get A Coder Job (Chuck) Full Article
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
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
learning JSJ 429: Learning about Postman with Joyce Lin By devchat.tv Published On :: Tue, 14 Apr 2020 06:04:00 -0400 JavaScript Remote Conf 2020 May 13th to 15th - register now! Join us as we talk to Joyce Lin, a developer relations advocate with Postman, and we talk about this amazing tool for interacting with APIs. We discuss it’s more well-known features, and also learn about other less well known, but very powerful features that allow users to greatly increase the usefulness of the tool, both for front end and back end developers. Panel Aimee Knight Steve Edwards Guest Joyce Lin Sponsors G2i | Enjoy the luxuries of freelancing Educative.io | Click here for 10% discount ____________________________________________________________ "The MaxCoders Guide to Finding Your Dream Developer Job" by Charles Max Wood is now available on Amazon. Get Your Copy Today! ____________________________________________________________ Links Postman Roadmap on Trello Follow Postman on Twitter > Postman | The Collaboration Platform for API Development Picks Steve Edwards: The Big Red NO! Button Desktop Sound Toy Joyce Lin: Follow Joyce on Twitter > @petuniaGray The Science of Well-Being by Yale University | Coursera Follow JavaScript Jabber on Twitter > @JSJabber Full Article
learning JSJ 430: Learning JavaScript in 2020 with Matt Crook By devchat.tv Published On :: Tue, 21 Apr 2020 06:00:00 -0400 JavaScript Remote Conf 2020 May 13th to 15th - register now! Matt Crook joins the conversation to talk with the JavaScript Jabber panel to talk about his experience going through Nashville Software School. The panel discusses and asks questions about getting into programming, working through the bootcamp, and what prospects are for bootcamp graduates. Panel AJ O’Neal Aimee Knight Charles Max Wood Steve Edwards Dan Shappir Guest Matt Crook Sponsors Taiko Educative.io | Click here for 10% discount "The MaxCoders Guide to Finding Your Dream Developer Job" by Charles Max Wood is now available on Amazon. Get Your Copy Today! Picks AJ O’Neal: PostgREST The Way of Kings VirtualBox Bootable Installers for MacOS, Windows, and more Aimee Knight: State of Microservices 2020 Report Peloton Bike Charles Max Wood: The Hobbit D&D Starter Set JavaScript Weekly Devchat.tv Remote Meetups Devchat.tv Remote Conferences Reading to Kids Steve Edwards: It Is Well With My Soul Pitbull Gold PRO Skull Shaver Brad Balfour Dan Shappir: Gödel, Escher, Bach Translating "The Hobbit" in Captivity Matt Crook: Follow Matt on Twitter > @mgcrook, Instagram, LinkedIn Swolenormous Fireship Static Headz Yugen Follow JavaScript Jabber on Twitter > @JSJabber Full Article
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
learning Product :: Learning Adobe Acrobat X By www.peachpit.com Published On :: Wed, 21 Aug 2013 00:00:00 GMT Full Article
learning Zoo Animal Learning and Training By www.wiley.com Published On :: 2020-03-09T04:00:00Z Comprehensively explains animal learning theories and current best practices in animal training within zoos This accessible, up-to-date book on animal training in a zoo/aquaria context provides a unified approach to zoo animal learning, bringing together the art and science of animal training. Written by experts in academia and working zoos, it incorporates the latest information from the scientific community along with current best practice, demystifying Read More... Full Article
learning Troubleshooting and maintaining Cisco IP networks (TSHOOT) [electronic resource] : foundation learning guide : foundation learning for the CCNP TSHOOT 642-832 / Amir Ranjbar By prospero.murdoch.edu.au Published On :: Ranjbar, Amir S Full Article
learning Critical Perspectives on the Scholarship of Assessment and Learning in Law: Volume 1: England. By library.mit.edu Published On :: Sun, 29 Sep 2019 08:06:56 EDT Online Resource Full Article
learning Classroom Management: Creating a Successful K-12 Learning Community, 7th Edition By www.wiley.com Published On :: 2020-05-05T04:00:00Z ENABLES K-12 EDUCATORS TO CREATE SUCCESSFUL LEARNING COMMUNITIES — THE FULLY UPDATED NEW EDITIONEffective classroom management plans are essential for creating environments that foster appropriate social interactions and engaged learning for students in K-12 settings. New and early-career teachers often face difficulties addressing student discipline, upholding classroom rules and procedures, and establishing positive teacher-student relationships Read More... Full Article
learning American Association for Chemistry Teachers offers resources for remote teaching and learning By feedproxy.google.com Published On :: 31 Mar 2020 15:47:46 +0000 Resources are freely available through April 17 Full Article
learning Essentials of the California Verbal Learning Test: CVLT-C, CVLT-2, & CVLT3 By www.wiley.com Published On :: 2020-04-28T04:00:00Z Part of Wiley's Essentials of Psychological Assessment series, this book covers the administration, scoring, and interpretation of the CVLT-C, CVLT-II, and CVLT-3. Additionally, readers will find a discussion of the strengths and weaknesses of the assessment, a review of the CVLT's performance in clinical populations, and illustrative case reports. Each chapter ends with a Test Yourself section for enhanced learning. Read More... Full Article
learning Part 2 – Ch37 – Learning To Listen By www.amaravati.org Published On :: Sat, 11 Oct 2014 13:14:25 +0000 These are the recordings of the complete collection of all the talks by Ajahn Chah that have been translated into English and are published in 'The Collected Teachings of Ajahn Chah', 2011. This was read by Ajahn Amaro during the winter of 2012 The post Part 2 – Ch37 – Learning To Listen appeared first on Amaravati Buddhist Monastery. Full Article Audio Readings
learning Changing urban renewal policies in China: policy transfer and policy learning under multiple hierarchies / Giulia C. Romano By library.mit.edu Published On :: Sun, 16 Feb 2020 06:00:01 EST Online Resource Full Article
learning [ASAP] Nonintrusive Monitoring of Mental Fatigue Status Using Epidermal Electronic Systems and Machine-Learning Algorithms By dx.doi.org Published On :: Wed, 22 Jan 2020 21:00:00 PST ACS SensorsDOI: 10.1021/acssensors.9b02451 Full Article
