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Machine Learning Deep Learning Comp Books Categories
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Machine Learning Deep Learning Comp Books Categories
Machine Learning Deep Learning Comp Categories Books List
Machine Learning Deep Learning Comp Books Categories
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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
By:
Kevin P. Murphy
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Deep Learning for Biology: Harness AI to Solve Real-World Biology Problems (Paperback)
By:
Charles Ravarani
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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib (Kindle Edition)
By:
Robert Johansson
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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python (Paperback)
By:
Sebastian Raschka
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AI Engineering: Building Applications with Foundation Models (Paperback)
By:
Chip Huyen
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Hands-On Large Language Models: Language Understanding and Generation (Paperback)
By:
Jay Alammar
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Build a Large Language Model (From Scratch)
By:
Sebastian Raschka
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An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
By:
Gareth James
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Machine Learning Interviews: Kickstart Your Machine Learning and Data Career (Kindle Edition)
By:
Susan Shu Chang
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Inside the Machine Learning Interview: 151 Real Questions from FAANG and How to Answer Them (Kindle Edition)
By:
Peng Shao
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Machine Learning System Design Interview (Paperback)
By:
Ali Aminian
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System Design Interview – An Insider's Guide: Volume 2 (Paperback)
By:
Alex Xu
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System Design Interview – An insider's guide (Kindle Edition)
By:
Alex Xu
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500 Most Important Machine Learning Interview Questions and Answers: Crack That Next Interview With Higher Salary In Less Preparation Time (Kindle Edition)
By:
Vamsee Puligadda
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Making Embedded Systems: Design Patterns for Great Software (Paperback)
By:
Elecia White
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Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG (Paperback)
By:
Louis-François Bouchard
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The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change (Paperback)
By:
Tanya Reilly
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Observability Engineering: Achieving Production Excellence (Paperback)
By:
Charity Majors
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The Kubernetes Book (Kindle Edition)
By:
Nigel Poulton
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Software Engineering at Google: Lessons Learned from Programming Over Time (Paperback)
By:
Titus Winters
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Building Machine Learning Powered Applications: Going from Idea to Product (Paperback)
By:
Emmanuel Ameisen
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Cloud Native DevOps with Kubernetes: Building, Deploying, and Scaling Modern Applications in the Cloud (Paperback)
By:
John Arundel
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Programming Rust: Fast, Safe Systems Development (Paperback)
By:
Jim Blandy
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Python Machine Learning (Paperback)
By:
Sebastian Raschka
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A First Course in Probability (Hardcover)
By:
Sheldon M. Ross
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Modern Robotics: Mechanics, Planning, and Control (Kindle Edition)
By:
Kevin M. Lynch
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Programming Robots with ROS: A Practical Introduction to the Robot Operating System (Paperback)
By:
Morgan Quigley
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Introduction to Robotics: Mechanics and Control (Hardcover)
By:
John J. Craig
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Robot Programming : A Practical Guide to Behavior-Based Robotics (Paperback)
By:
Joe Jones
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Machine Learning: A Probabilistic Perspective (Hardcover)
By:
Kevin P. Murphy
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Programming Massively Parallel Processors: A Hands-on Approach (Paperback)
By:
David B. Kirk
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The Hitchhiker's Guide to Machine Learning Algorithms: 100+ Machine Learning Algorithms Explained So Simply Even a Human Can Understand (The Hitchhiker's Guide to Success)
By:
Devin Schumacher
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
By:
Chip Huyen
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Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
By:
Aurélien Géron
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Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
By:
Andreas C. Müller
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
By:
Gareth James
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
By:
Trevor Hastie
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Deep Learning: Foundations and Concepts (Hardcover)
By:
Christopher M. Bishop
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Machine Learning Yearning (ebook)
By:
Andrew Ng
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Neural Networks and Machine Learning (Nato ASI Subseries F:)
By:
Christopher M. Bishop
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BISHOP:NEURAL NETWORKS FOR PATTERN RECOGNITION PAPER (Advanced Texts in Econometrics (Paperback))
By:
Christopher M. Bishop
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Pattern Recognition and Machine Learning (Information Science and Statistics)
By:
Christopher M. Bishop
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You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place (Hardcover)
By:
Janelle Shane
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Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again (Hardcover)
By:
Eric J. Topol
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Computer Vision: Algorithms and Applications (Texts in Computer Science)
By:
Richard Szeliski
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Deep Learning for Computer Vision: Image Classification, Object Detection, and Face Recognition in Python (ebook)
By:
Jason Brownlee
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Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD (Paperback)
By:
Jeremy Howard
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Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow (Paperback)
By:
Anirudh Koul