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#1
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
#2
Hands-On Large Language Models: Language Understanding and Generation
#3
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
#4
Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Jupyter
#5
Deep Learning
#6
Machine Learning, Revised and Updated Edition
#7
Machine Learning Engineering
#8
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
#9
Practical Charts: The Essential Guide to Creating Clear, Compelling Charts for Reports and Presentations
#10
Python for Excel Users: Know Excel? You Can Learn Python
#1
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
#2
Hands-On Large Language Models: Language Understanding and Generation
#3
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
#4
Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Jupyter
#5
Deep Learning
#6
Machine Learning, Revised and Updated Edition
#7
Machine Learning Engineering
#8
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
#9
Practical Charts: The Essential Guide to Creating Clear, Compelling Charts for Reports and Presentations
#10
Python for Excel Users: Know Excel? You Can Learn Python
#11
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
#12
Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence
#13
Python Data Science Handbook: Essential Tools for Working with Data
#14
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
#15
The Hundred-Page Machine Learning Book
#16
Product Operations: How successful companies build better products at scale
#17
Trustworthy Online Controlled Experiments
#18
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
#19
Data Science
#20
The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI
#21
Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks
#22
AI Literacy Fundamentals
#23
Practical Deep Learning, 2nd Edition: A Python-Based Introduction
#24
Data Science from Scratch: First Principles with Python
#25
Power Query Beyond The User Interface: Solving Advanced Data Cleaning Problems Using M
#1
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
#2
Hands-On Large Language Models: Language Understanding and Generation
#3
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
#4
Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Jupyter
#5
Deep Learning
#6
Machine Learning, Revised and Updated Edition
#7
Machine Learning Engineering
#8
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
#9
Practical Charts: The Essential Guide to Creating Clear, Compelling Charts for Reports and Presentations
#10
Python for Excel Users: Know Excel? You Can Learn Python
#11
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
#12
Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence
#13
Python Data Science Handbook: Essential Tools for Working with Data
#14
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
#15
The Hundred-Page Machine Learning Book
#16
Product Operations: How successful companies build better products at scale
#17
Trustworthy Online Controlled Experiments
#18
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
#19
Data Science
#20
The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI
#21
Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks
#22
AI Literacy Fundamentals
#23
Practical Deep Learning, 2nd Edition: A Python-Based Introduction
#24
Data Science from Scratch: First Principles with Python
#25
Power Query Beyond The User Interface: Solving Advanced Data Cleaning Problems Using M
#26
Data Feminism
#27
Natural Language Processing with Transformers, Revised Edition
#28
Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
#1
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
#2
Hands-On Large Language Models: Language Understanding and Generation
#3
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
#4
Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Jupyter
#5
Deep Learning
#6
Machine Learning, Revised and Updated Edition
#7
Machine Learning Engineering
#8
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
#9
Practical Charts: The Essential Guide to Creating Clear, Compelling Charts for Reports and Presentations
#10
Python for Excel Users: Know Excel? You Can Learn Python
#11
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
#12
Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence
#13
Python Data Science Handbook: Essential Tools for Working with Data
#14
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
#15
The Hundred-Page Machine Learning Book
#16
Product Operations: How successful companies build better products at scale
#17
Trustworthy Online Controlled Experiments
#18
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
#19
Data Science
#20
The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI
#21
Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks
#22
AI Literacy Fundamentals
#23
Practical Deep Learning, 2nd Edition: A Python-Based Introduction
#24
Data Science from Scratch: First Principles with Python
#25
Power Query Beyond The User Interface: Solving Advanced Data Cleaning Problems Using M
#26
Data Feminism
#27
Natural Language Processing with Transformers, Revised Edition
#28
Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
New Releases
Python for Excel Users: Know Excel? You Can Learn Python
Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
Practical Deep Learning, 2nd Edition: A Python-Based Introduction
Power Query Beyond The User Interface: Solving Advanced Data Cleaning Problems Using M
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Python for Excel Users: Know Excel? You Can Learn Python
Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
Practical Deep Learning, 2nd Edition: A Python-Based Introduction
Power Query Beyond The User Interface: Solving Advanced Data Cleaning Problems Using M
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All Products
The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI
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Natural Language Processing with Transformers, Revised Edition
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
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Trustworthy Online Controlled Experiments
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SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
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Machine Learning Engineering
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Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks
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Deep Learning
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Data Science from Scratch: First Principles with Python
$65.99
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The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Machine Learning, Revised and Updated Edition
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Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
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Hands-On Large Language Models: Language Understanding and Generation
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
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AI Literacy Fundamentals
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Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Jupyter
$79.99
$57.59
Practical Charts: The Essential Guide to Creating Clear, Compelling Charts for Reports and Presentations
$42.99
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Product Operations: How successful companies build better products at scale
$24.99
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The Hundred-Page Machine Learning Book
$39.95
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Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence
$32.00
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Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Practical Deep Learning, 2nd Edition: A Python-Based Introduction
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Power Query Beyond The User Interface: Solving Advanced Data Cleaning Problems Using M
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Python Data Science Handbook: Essential Tools for Working with Data
$79.99
$57.59
Python for Excel Users: Know Excel? You Can Learn Python
$49.99
$35.99