Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you’ll keep coming back to as you build your machine learning systems.
Notes: Item in good condition and has highlighting/writing on text.
Networks: A Very Short Introduction (Very Short Introductions).
By Rodríguez-Quiñonez, Julio César; Real-Moreno, Oscar.
By Rich Collier; Camilla Montonen; Bahaaldine Azarmi. Machine Learning with the Elastic Stack: Gain valuable insights from your data with Elastic Stack’s machine learning features, 2nd Edition.
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A nice touch in this textbook is the list of suggested readings at the end.
You are purchasing a Very Good copy of ‘The Simulated Multiverse: An MIT Computer Scientist Explores Parallel Universes, Quantum Computing, The Simulation Hypothesis and the Mandela Effect’.
A nice touch in this textbook is the glossary at the back of each chapter.