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Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics, 2nd Edition by Michael Bowles English | October 11th, 2019 | ISBN: 1119561930 | 368 pages | EPUB (True/Retail Copy) | 16.51 MB
Foundations of Deep Reinforcement Learning: Theory and Practice in Python by Laura Graesser English | 2020 | ISBN: 0135172381 | 817 Pages | EPUB | 24 MB
DIY Project Based Learning for Math and Science (Eye on Education) by Heather Wolpert-Gawron English | February 19, 2016 | ISBN: 1138891592, 1138891606 | PDF | 156 pages | 2.85 MB
TinyML: Machine Learning with TensorFlow on Arduino and Ultra-Low Power Micro-Controllers by Pete Warden English | 2020 | ISBN: 1492052043 | 520 Pages | EPUB | 26 MB
Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow by Anirudh Koul, Siddha Ganju, Meher Kasam English | October 14th, 2019 | ISBN: 149203486X | 620 pages | EPUB | 132.36 MB
Statistics: The Art and Science of Learning from Data, 4th Global Edition by Bernhard Klingenberg, Alan Agresti, Christine A. Franklin English | 2017 | ISBN: 1292164778 | PDF | 816 pages | 42.2 MB
Michael Bowles, "Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics Ed 2" English | ISBN: 1119561930 | 2019 | 368 pages | PDF | 7 MB
Learning Agile: Understanding Scrum, XP, Lean, and Kanban by Andrew Stellman, Jennifer Greene English | February 5th, 2016 (Rev. 2) | ISBN: 1449331920 | 419 pages | True PDF | 44.28 MB