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Books Related To Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Books Related To Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation,…
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Data Science from Scratch: First Principles with Python
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Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
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The Pragmatic Programmer: Your Journey To Mastery, 20th Anniversary Edition…
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AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence
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Mathematics for Machine Learning
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Building Machine Learning Powered Applications: Going from Idea to Product
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Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow
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TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power…
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Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools
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Approaching (Almost) Any Machine Learning Problem
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…
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Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
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Python Machine Learning: Machine Learning and Deep Learning with Python,…
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Deep Learning with Python
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Learning Spark: Lightning-Fast Data Analytics
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Clean Code in Python: Develop maintainable and efficient code, 2nd Edition
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Effective Python: 90 Specific Ways to Write Better Python (Effective Software Development…
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INTELLIGENT AUTOMATION: Learn how to harness Artificial Intelligence to boost…
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A Common-Sense Guide to Data Structures and Algorithms, Second Edition: Level Up Your…
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Reinforcement Learning: Industrial Applications of Intelligent Agents
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Machine Learning Engineering
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Machine Learning with R: Expert techniques for predictive modeling, 3rd Edition
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Learning SQL: Generate, Manipulate, and Retrieve Data
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Python for Algorithmic Trading: From Idea to Cloud Deployment
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Machine Learning for Algorithmic Trading: Predictive models to extract signals from…
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Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence)
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Grokking Deep Learning
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Transformers for Natural Language Processing: Build innovative deep neural network…
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The Hundred-Page Machine Learning Book
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Build Your Own AI Investor: With Machine Learning and Python, Step by Step
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Python Data Science Handbook: Essential Tools for Working with Data
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High Performance Python: Practical Performant Programming for Humans
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40 Algorithms Every Programmer Should Know: Hone your problem-solving skills…
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Artificial Intelligence: A Guide for Thinking Humans
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Spark: The Definitive Guide: Big Data Processing Made Simple
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Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design,…
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Advances in Financial Machine Learning
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The Art of Statistics: How to Learn from Data
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in…
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Python for DevOps: Learn Ruthlessly Effective Automation
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Building Event-Driven Microservices: Leveraging Organizational Data at…
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Introducing Python: Modern Computing in Simple Packages
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