نتایج جستجو
Introduction to General, Organic, and Biochemistry-Cengage Learning (2019)_compresse
Frederick_ March, Jerry_ Brown, Willia Bettelheim_ William H.Brown_ Mary K. Campbell_ Shawn O Farrell_ Omar Torres - Introduction to General, Organic, and Biochemistry-Cengage Learning (2019)_compressed, 2019
Social and Emotional Learning and Complex Skills Assessment: An Inclusive Learning Analytics Perspective
Yuan 'Elle' Wang, Srećko Joksimović, Maria Ofelia Z. San Pedro, Jason D. Way, John Whitmer, 2022
Learning Analytics in Open and Distributed Learning: Potential and Challenges
Paul Prinsloo, Sharon Slade, Mohammad Khalil, 2022
Practical Mathematics for AI and Deep Learning: A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning
Tamoghna Ghosh; Shravan Kumar Belagal Math, 2023
Federated Learning with Python: Design and implement a federated learning system and develop applications using existing frameworks
Kiyoshi Nakayama PhD, George Jeno, 2022
Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications
Mohammad Zoynul Abedin, Petr Hajek, 2023
Beyond the Boundaries: a Transdisciplinary Approach to Learning and Teaching : A Transdisciplinary Approach to Learning and Teaching
Douglas Kaufman; David Moss; Terry A. Osborn, 2003
DATA SCIENCE WORKSHOP: Cervical Cancer Classification and Prediction Using Machine Learning and Deep Learning with Python GUI
Vivian Siahaan, Rismon Sianipar, 2021
Conceptualizing and Innovating Education and Work with Networked Learning (Research in Networked Learning)
Nina Bonderup Dohn (editor), Jens Jørgen Hansen (editor), Stig Børsen Hansen (editor), Thomas Ryberg (editor), Maarten de Laat (editor), 2021
Developing Online Teaching in Higher Education: Global Perspectives on Continuing Professional Learning and Development (Professional and Practice-based Learning, 29)
Dianne Forbes (editor), Richard Walker (editor), 2022
e-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning
Ruth C. Clark, Richard E. Mayer, 2023
Explainable and Interpretable Reinforcement Learning for Robotics (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Aaron M. Roth, Dinesh Manocha, Ram D. Sriram, Elham Tabassi, 2024
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)
Jonas Peters, Dominik Janzing, Bernhard Scholkopf, 2017
