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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
Data Science Using Python and R (Wiley Series on Methods and Applications in Data Mining)
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Data Science Using Python and R (Wiley Series on Methods and Applications in Data Mining)
The Machine Learning Solutions Architect Handbook - Second Edition: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI
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The Machine Learning Solutions Architect Handbook - Second Edition: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI
Machine Learning With Python For Beginners: A Step-By-Step Guide with Hands-On Projects (Learn Coding Fast with Hands-On Project Book 7)
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Machine Learning With Python For Beginners: A Step-By-Step Guide with Hands-On Projects (Learn Coding Fast with Hands-On Project Book 7)
Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines
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Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines
Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
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Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Machine Learning: Interview Questions and Answers (Advanced Topics in Machine Learning Book 1)
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Machine Learning: Interview Questions and Answers (Advanced Topics in Machine Learning Book 1)
Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure
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Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
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Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
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Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
Machine Learning with R - Third Edition: Expert techniques for predictive modeling
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Machine Learning with R - Third Edition: Expert techniques for predictive modeling
Machine Learning: Make Your Own Recommender System (Machine Learning with Python for Beginners Book Series 3)
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Machine Learning: Make Your Own Recommender System (Machine Learning with Python for Beginners Book Series 3)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series)
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Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series)
Machine Learning for Physics and Astronomy
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Machine Learning for Physics and Astronomy
Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
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Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Deep Learning (Adaptive Computation and Machine Learning series)
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Deep Learning (Adaptive Computation and Machine Learning series)
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
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Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
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Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
Why Machines Learn: The Elegant Math Behind Modern AI
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Why Machines Learn: The Elegant Math Behind Modern AI
Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
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Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
Data Mining: The Textbook
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Data Mining: The Textbook
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
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Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Linear Algebra and Optimization for Machine Learning: A Textbook
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Linear Algebra and Optimization for Machine Learning: A Textbook
Pattern Recognition and Machine Learning (Information Science and Statistics)
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Pattern Recognition and Machine Learning (Information Science and Statistics)
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
Machine Learning with Python: A Practical Beginners’ Guide (Machine Learning with Python for Beginners Book Series 2)
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Machine Learning with Python: A Practical Beginners’ Guide (Machine Learning with Python for Beginners Book Series 2)
Mathematics for Machine Learning
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Mathematics for Machine Learning
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
Probability and Statistics for Machine Learning: A Textbook
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Probability and Statistics for Machine Learning: A Textbook
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Machine Learning Engineering
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Machine Learning Engineering
Machine Learning For Absolute Beginners: A Plain English Introduction (AI, Data Science, Python & Statistics for Beginners)
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Machine Learning For Absolute Beginners: A Plain English Introduction (AI, Data Science, Python & Statistics for Beginners)
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
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Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Machine Learning For Dummies, 2nd Edition
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Machine Learning For Dummies, 2nd Edition
The Hundred-Page Machine Learning Book
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The Hundred-Page Machine Learning Book
Introduction to Machine Learning with Python: A Guide for Data Scientists
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Introduction to Machine Learning with Python: A Guide for Data Scientists
Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition) (Machine Learning with Python for Beginners Book Series 1)
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Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition) (Machine Learning with Python for Beginners Book Series 1)
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