e learning The Palgrave handbook of motivation for language learning [Electronic book] / Martin Lamb, Kata Csizér, Alastair Henry, Stephen Ryan, editors. By encore.st-andrews.ac.uk Published On :: Cham, Switzerland : Palgrave Macmillan, 2019. Full Article
e learning Machine learning with PySpark : with natural language processing and recommender systems [Electronic book] / Pramod Singh. By encore.st-andrews.ac.uk Published On :: [Berkeley, CA] : Apress, [2019] Full Article
e learning Machine Learning, Optimization, and Data Science [Electronic book] : 5th International Conference, LOD 2019, Siena, Italy, September 10-13, 2019, Proceedings / Giuseppe Nicosia, Panos Pardalos, Renato Umeton, Giovanni Giuffrida, Vincenzo Sciacca (eds.). By encore.st-andrews.ac.uk Published On :: Cham : Springer, c2019. Full Article
e learning Machine Learning and AI for Healthcare : Big Data for Improved Health Outcomes [Electronic book] / Arjun Panesar. By encore.st-andrews.ac.uk Published On :: [Berkeley, CA] : Apress, [2019] Full Article
e learning Language, culture, and the embodied mind : a developmental model of linguaculture learning [Electronic book] / Joseph Shaules. By encore.st-andrews.ac.uk Published On :: Singapore : Springer, [2019] Full Article
e learning Intelligence science and big data engineering : big data and machine learning : 9th International Conference, IScIDE 2019, Nanjing, China, October 17-20, 2019, proceedings. Part II [Electronic book] / Zhen Cui, Jinshan Pan, Shanshan Zhang, Liang Xiao, Jia By encore.st-andrews.ac.uk Published On :: Cham, Switzerland : Springer, [2019] Full Article
e learning Frontiers and advances in positive learning in the age of InformaTiOn (PLATO) [Electronic book] / Olga Zlatkin-Troitschanskaia, editor. By encore.st-andrews.ac.uk Published On :: Cham : Springer, c2019. Full Article
e learning An introduction to statistics : an active learning approach / Kieth A. Carlson, Jennifer R. Winquist, Valparaiso University By prospero.murdoch.edu.au Published On :: Carlson, Kieth A., author Full Article
e learning Machine learning for microbial phenotype prediction / Roman Feldbauer By library.mit.edu Published On :: Sun, 17 Jul 2016 06:35:59 EDT Online Resource Full Article
e learning Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications K. G. Srinivasa, G. M. Siddesh, S. R. Manisekhar, editors By library.mit.edu Published On :: Sun, 1 Mar 2020 07:37:39 EST Online Resource Full Article
e learning Refining Your Remote Learning Strategies Using a Data-Driven Approach: The Evidence to Insights Coach By www.mathematica.org Published On :: Fri, 24 Apr 2020 17:00:00 Z With school buildings closed by COVID-19, schools and districts across the country are rapidly (and sometimes frantically) transitioning to remote learning. Full Article
e learning Integration of ultra-high-pressure liquid chromatography-tandem mass spectrometry with machine learning for identifying fatty acid metabolite biomarkers of ischemic stroke By feeds.rsc.org Published On :: Chem. Commun., 2020, Accepted ManuscriptDOI: 10.1039/D0CC02329A, CommunicationLijian Zhang, Fei Ma, Ao Qi, Lulu Liu, Junjie Zhang, Simin Xu, Qisheng Zhong, Yusen Chen, Chun-yang Zhang, Chun CaiWe report for the first time the integration of ultra-high-pressure liquid chromatography-tandem mass spectrometry with machine learning for identifying fatty acid metabolite biomarkers of ischemic stroke. Especially, we develop an...The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Big data analytics with Spark : a practitioner's guide to using Spark for large-scale data processing, machine learning, and graph analytics, and high-velocity data stream processing / Mohammed Guller By prospero.murdoch.edu.au Published On :: Guller, Mohammed, author Full Article
e learning Active learning a coarse-grained neural network model for bulk water from sparse training data By pubs.rsc.org Published On :: Mol. Syst. Des. Eng., 2020, Advance ArticleDOI: 10.1039/C9ME00184K, CommunicationTroy D. Loeffler, Tarak K. Patra, Henry Chan, Subramanian K. R. S. SankaranarayananActive learning scheme to train neural network potentials for molecular simulations.To cite this article before page numbers are assigned, use the DOI form of citation above.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Machine learning methods to predict the crystallization propensity of small organic molecules By feeds.rsc.org Published On :: CrystEngComm, 2020, 22,2817-2826DOI: 10.1039/D0CE00070A, PaperFlorbela PereiraMachine learning algorithms were explored for the prediction of the crystallization propensity based on molecular descriptors and fingerprints generated from 2D chemical structures and 3D chemical structures optimized with empirical methods.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Machine Learning: Living in the Age of AI By www.wired.com Published On :: Thu, 20 Jun 2019 16:00:00 +0000 “Machine Learning: Living in the Age of AI,” examines the extraordinary ways in which people are interacting with AI today. Hobbyists and teenagers are now developing tech powered by machine learning and WIRED shows the impacts of AI on schoolchildren and farmers and senior citizens, as well as looking at the implications that rapidly accelerating technology can have. The film was directed by filmmaker Chris Cannucciari, produced by WIRED, and supported by McCann Worldgroup. Full Article
e learning [ASAP] Chemometric Classification of Crude Oils in Complex Petroleum Systems Using t-Distributed Stochastic Neighbor Embedding Machine Learning Algorithm By feedproxy.google.com Published On :: Thu, 07 May 2020 04:00:00 GMT Energy & FuelsDOI: 10.1021/acs.energyfuels.0c01333 Full Article
e learning Shift to At-Home and Online Learning Underscores the Importance of Culturally Responsive Education Practices in Schools By www.mathematica.org Published On :: Wed, 08 Apr 2020 17:08:00 Z For this episode of On the Evidence, a principal and an education researcher share insights from research and the field on implementing culturally responsive practices. Full Article
e learning [ASAP] Kernel-Based Machine Learning for Efficient Simulations of Molecular Liquids By feedproxy.google.com Published On :: Fri, 24 Apr 2020 04:00:00 GMT Journal of Chemical Theory and ComputationDOI: 10.1021/acs.jctc.9b01256 Full Article
e learning Applications of machine learning in wireless communications / edited by Ruisi He and Zhiguo Ding By library.mit.edu Published On :: Sun, 3 May 2020 06:37:44 EDT Online Resource Full Article
e learning Machine learning and medical engineering for cardiovascular health and intravascular imaging and computer assisted stenting: first International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, held in conjunction with MICCAI By library.mit.edu Published On :: Sun, 17 Nov 2019 06:24:26 EST Online Resource Full Article
e learning Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention: International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, held in conjunction with MIC By library.mit.edu Published On :: Sun, 22 Dec 2019 06:23:55 EST Online Resource Full Article
e learning [ASAP] Combining SchNet and SHARC: The SchNarc Machine Learning Approach for Excited-State Dynamics By feedproxy.google.com Published On :: Fri, 01 May 2020 04:00:00 GMT The Journal of Physical Chemistry LettersDOI: 10.1021/acs.jpclett.0c00527 Full Article
e learning [ASAP] Property-Oriented Material Design Based on a Data-Driven Machine Learning Technique By feedproxy.google.com Published On :: Tue, 05 May 2020 04:00:00 GMT The Journal of Physical Chemistry LettersDOI: 10.1021/acs.jpclett.0c00665 Full Article
e learning Universal grammar and the initial state of second language learning: evidence of Chinese multidialectal childrens acquisition of English at the syntax-semantics interface / Weifeng Han By library.mit.edu Published On :: Sun, 16 Feb 2020 06:39:19 EST Online Resource Full Article
e learning Train for These 5 Machine Learning and AI Roles Now By www.developintelligence.com Published On :: Mon, 09 Mar 2020 17:10:22 +0000 Tech companies aren’t the only organizations actively looking for experienced talent in emerging technologies like artificial intelligence (AI) and machine learning. Leaders across a mélange of industries like financial services and various types of consulting are strategically sourcing top technical talent to power future business goals – which means competition is stiff for technologists with […] The post Train for These 5 Machine Learning and AI Roles Now appeared first on DevelopIntelligence. Full Article Training
e learning Increase learning & development's impact through accreditation: how to drive-up training quality, employee satisfaction, and ROI / William J. Rothwell, Sandra L. Williams, Aileen G. Zaballero By library.mit.edu Published On :: Sun, 26 Apr 2020 07:59:18 EDT Online Resource Full Article
e learning Research and Innovation in Language Learning [electronic journal]. By encore.st-andrews.ac.uk Published On :: Lembaga Penelitian Universitas Swadaya Gunung Jati Full Article
e learning Proceedings of the 2003 International Conference on Machine Learning and Cybernetics [electronic journal]. By encore.st-andrews.ac.uk Published On :: IEEE Computer Society Full Article
e learning Proceedings of the 2003 International Conference on Machine Learning and Cybernetics [electronic journal]. By encore.st-andrews.ac.uk Published On :: IEEE Computer Society Full Article
e learning Proceedings of the 2003 International Conference on Machine Learning and Cybernetics [electronic journal]. By encore.st-andrews.ac.uk Published On :: IEEE Computer Society Full Article
e learning Proceedings of the 2003 International Conference on Machine Learning and Cybernetics [electronic journal]. By encore.st-andrews.ac.uk Published On :: IEEE Computer Society Full Article
e learning Machine Learning in High Performance Computing Environments (MLHPC), IEEE/ACM Workshop on [electronic journal]. By encore.st-andrews.ac.uk Published On :: IEEE / Institute of Electrical and Electronics Engineers Incorporated Full Article
e learning Machine Learning and Knowledge Extraction [electronic journal]. By encore.st-andrews.ac.uk Published On :: Molecular Diversity Preservation International Full Article
e learning The journal of workplace learning [electronic journal]. By encore.st-andrews.ac.uk Published On :: Bradford, West Yorkshire, England : MCB University Press : Southern Cross University Full Article
e learning Applied Machine Learning (ICAML), International Conference on [electronic journal]. By encore.st-andrews.ac.uk Published On :: IEEE / Institute of Electrical and Electronics Engineers Incorporated Full Article
e learning 2019 International Conference on Machine Learning and Data Engineering (iCMLDE) [electronic journal]. By encore.st-andrews.ac.uk Published On :: IEEE / Institute of Electrical and Electronics Engineers Incorporated Full Article
e learning 2019 International Conference on Applied Machine Learning (ICAML) [electronic journal]. By encore.st-andrews.ac.uk Published On :: IEEE / Institute of Electrical and Electronics Engineers Incorporated Full Article
e learning 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) [electronic journal]. By encore.st-andrews.ac.uk Published On :: IEEE / Institute of Electrical and Electronics Engineers Incorporated Full Article
e learning 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) [electronic journal]. By encore.st-andrews.ac.uk Published On :: IEEE / Institute of Electrical and Electronics Engineers Incorporated Full Article
e learning [ASAP] Amorphous Catalysis: Machine Learning Driven High-Throughput Screening of Superior Active Site for Hydrogen Evolution Reaction By feedproxy.google.com Published On :: Tue, 05 May 2020 04:00:00 GMT The Journal of Physical Chemistry CDOI: 10.1021/acs.jpcc.0c00406 Full Article
e learning Machine learning at the Belle II Experiment: the full event interpretation and its validation on Belle data / Thomas Keck By library.mit.edu Published On :: Sun, 27 Jan 2019 13:01:18 EST Online Resource Full Article
e learning A study on the effectiveness of anonymous agents in computer-supported collaborative learning (CSCL) for the facilitation of student learning and execution of team projects / Wudhijaya Philuek By prospero.murdoch.edu.au Published On :: Philuek, Wudhijaya, author Full Article
e learning Positive learning environments / John De Nobile, Gordon Lyons, Michael Arthur-Kelly By prospero.murdoch.edu.au Published On :: De Nobile, John, author Full Article
e learning Machine Learning: Hands-On for Developers and Technical Professionals, 2nd Edition By www.wiley.com Published On :: 2020-03-10T04:00:00Z Dig deep into the data with a hands-on guide to machine learning with updated examples and more!Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing Read More... Full Article
e 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
e 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
e 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
e 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
e 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
