深度学习迷你地图

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

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Practical Statistics for Data Scientists: 50 Essential Concepts

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Deep Learning with Python

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Deep Learning (Adaptive Computation and Machine Learning series)

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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

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Python Data Science Handbook: Essential Tools for Working with Data

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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition

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Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly))

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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

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Advances in Financial Machine Learning

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Introduction to Machine Learning with Python: A Guide for Data Scientists

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Data Science from Scratch: First Principles with Python

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R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)

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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)

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Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

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Learning Python, 5th Edition

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TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

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Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

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Machine Learning For Absolute Beginners: A Plain English Introduction (Machine Learning For Beginners)

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Python Cookbook, Third edition

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Pattern Recognition and Machine Learning (Information Science and Statistics)

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Deep Learning: A Practitioner's Approach

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Make Your Own Neural Network: An In-depth Visual Introduction For Beginners

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ggplot2: Elegant Graphics for Data Analysis (Use R!)

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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

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Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

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Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

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Python Crash Course: A Hands-On, Project-Based Introduction to Programming

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Machine Learning For Dummies

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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

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Fluent Python: Clear, Concise, and Effective Programming

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Introducing Python: Modern Computing in Simple Packages

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Naked Statistics: Stripping the Dread from the Data

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Machine Learning with R - Second Edition: Expert techniques for predictive modeling to solve all your data analysis problems

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Web Scraping with Python: Collecting More Data from the Modern Web

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R Graphics Cookbook: Practical Recipes for Visualizing Data

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Predictive Analytics For Dummies

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R For Dummies

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Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library

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Deep Learning with R

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The Art of R Programming: A Tour of Statistical Software Design

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Artificial Intelligence For Dummies (For Dummies (Computer/Tech))

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Applied Predictive Modeling

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Text Mining with R: A Tidy Approach

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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

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Hands-On Programming with R: Write Your Own Functions and Simulations

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Artificial Intelligence with Python: A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

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Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

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Automate the Boring Stuff with Python: Practical Programming for Total Beginners

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R for Everyone: Advanced Analytics and Graphics (2nd Edition) (Addison-Wesley Data & Analytics Series)

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Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

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Learning R: A Step-by-Step Function Guide to Data Analysis

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Effective Python: 59 Specific Ways to Write Better Python (Effective Software Development Series)

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The Math of Neural Networks

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Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

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Decision Trees and Random Forests: A Visual Introduction For Beginners

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Statistical Analysis with R For Dummies (For Dummies (Computers))

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Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (The MIT Press)

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A Smarter Way to Learn Python: Learn it faster. Remember it longer.

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Make Your Own Neural Network

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Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

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Learning TensorFlow: A Guide to Building Deep Learning Systems

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Doing Data Science: Straight Talk from the Frontline

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Python for Data Science For Dummies (For Dummies (Computer/Tech))

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Bayes' Theorem Examples: A Visual Introduction For Beginners

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Decision Making Under Uncertainty: Theory and Application (MIT Lincoln Laboratory Series)

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TensorFlow For Dummies

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Algorithmic Trading: Winning Strategies and Their Rationale

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Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

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Think Python: How to Think Like a Computer Scientist

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Numsense! Data Science for the Layman: No Math Added

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Python for Finance: Analyze Big Financial Data

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Data Smart: Using Data Science to Transform Information into Insight

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Artificial Intelligence: A Modern Approach

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Competing on Analytics: Updated, with a New Introduction: The New Science of Winning

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Think Stats: Exploratory Data Analysis

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Building Winning Algorithmic Trading Systems, + Website: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading)

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Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

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Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

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Flask Web Development: Developing Web Applications with Python

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Think Bayes: Bayesian Statistics in Python

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Feature Engineering Made Easy: Identify unique features from your dataset in order to build powerful machine learning systems

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Python Machine Learning, 1st Edition

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Storytelling with Data: A Data Visualization Guide for Business Professionals

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Python Machine Learning By Example: The easiest way to get into machine learning

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Neuro-Dynamic Programming (Optimization and Neural Computation Series, 3)

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R for Excel Users: An Introduction to R for Excel Analysts

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Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python

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Bash Pocket Reference: Help for Power Users and Sys Admins

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Linux Pocket Guide: Essential Commands

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Naked Economics: Undressing the Dismal Science (Fully Revised and Updated)

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Git Pocket Guide: A Working Introduction

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Best Practices in Data Cleaning: A Complete Guide to Everything You Need to Do Before and After Collecting Your Data

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Blockchain For Dummies (For Dummies (Computers))

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Convex Optimization, With Corrections 2008

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Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

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Reproducible Research with R and R Studio (Chapman & Hall/CRC The R Series)

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Algorithms For Dummies (For Dummies (Computer/Tech))

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The Cartoon Guide to Statistics

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Machine Learning with TensorFlow

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Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow

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Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science (FT Press Analytics)

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Naked Money: A Revealing Look at Our Financial System

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Python Data Science Essentials - Second Edition: Become an efficient data science practitioner by understanding Python's key concepts

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Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science)

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Think Complexity: Complexity Science and Computational Modeling

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Deep Learning Cookbook: Practical Recipes to Get Started Quickly

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Illustrated Guide to Python 3: A Complete Walkthrough of Beginning Python with Unique Illustrations Showing how Python Really Works. Now covering Python 3.6 (Treading on Python) (Volume 1)

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Algorithmic Trading and DMA: An introduction to direct access trading strategies

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Artificial Intelligence: 101 Things You Must Know Today About Our Future

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Django for Beginners: Build websites with Python and Django

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Big Data For Dummies

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Database Systems: A Practical Approach to Design, Implementation, and Management (6th Edition)

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The Statistical Sleuth: A Course in Methods of Data Analysis

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Programming Python: Powerful Object-Oriented Programming

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The Signal and the Noise: Why So Many Predictions Fail--but Some Don't

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Advanced and Multivariate Statistical Methods: Practical Application and Interpretation

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Python Essential Reference (4th Edition)

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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)

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Practical Web Scraping for Data Science: Best Practices and Examples with Python

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Head First Python: A Brain-Friendly Guide

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The Accounting Game: Basic Accounting Fresh from the Lemonade Stand

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How to Lie with Statistics

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Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

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Algorithms for Reinforcement Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning)

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Python Machine Learning From Scratch: Step by Step Guide with Scikit-Learn and TensorFlow

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Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles

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Python Deep Learning

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深度学习迷你地图

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Practical Statistics for Data Scientists: 50 Essential Concepts

Deep Learning with Python

Deep Learning (Adaptive Computation and Machine Learning series)

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Python Data Science Handbook: Essential Tools for Working with Data

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition

Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly))

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Advances in Financial Machine Learning

Introduction to Machine Learning with Python: A Guide for Data Scientists

Data Science from Scratch: First Principles with Python

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)

Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Learning Python, 5th Edition

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Machine Learning For Absolute Beginners: A Plain English Introduction (Machine Learning For Beginners)

Python Cookbook, Third edition

Pattern Recognition and Machine Learning (Information Science and Statistics)

Deep Learning: A Practitioner's Approach

Make Your Own Neural Network: An In-depth Visual Introduction For Beginners

ggplot2: Elegant Graphics for Data Analysis (Use R!)

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

Python Crash Course: A Hands-On, Project-Based Introduction to Programming

Machine Learning For Dummies

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Fluent Python: Clear, Concise, and Effective Programming

Introducing Python: Modern Computing in Simple Packages

Naked Statistics: Stripping the Dread from the Data

Machine Learning with R - Second Edition: Expert techniques for predictive modeling to solve all your data analysis problems

Web Scraping with Python: Collecting More Data from the Modern Web

R Graphics Cookbook: Practical Recipes for Visualizing Data

Predictive Analytics For Dummies

R For Dummies

Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library

Deep Learning with R

The Art of R Programming: A Tour of Statistical Software Design

Artificial Intelligence For Dummies (For Dummies (Computer/Tech))

Applied Predictive Modeling

Text Mining with R: A Tidy Approach

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

Hands-On Programming with R: Write Your Own Functions and Simulations

Artificial Intelligence with Python: A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

Automate the Boring Stuff with Python: Practical Programming for Total Beginners

R for Everyone: Advanced Analytics and Graphics (2nd Edition) (Addison-Wesley Data & Analytics Series)

Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

Learning R: A Step-by-Step Function Guide to Data Analysis

Effective Python: 59 Specific Ways to Write Better Python (Effective Software Development Series)

The Math of Neural Networks

Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Decision Trees and Random Forests: A Visual Introduction For Beginners

Statistical Analysis with R For Dummies (For Dummies (Computers))

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (The MIT Press)

A Smarter Way to Learn Python: Learn it faster. Remember it longer.

Make Your Own Neural Network

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

Learning TensorFlow: A Guide to Building Deep Learning Systems

Doing Data Science: Straight Talk from the Frontline

Python for Data Science For Dummies (For Dummies (Computer/Tech))

Bayes' Theorem Examples: A Visual Introduction For Beginners

Decision Making Under Uncertainty: Theory and Application (MIT Lincoln Laboratory Series)

TensorFlow For Dummies

Algorithmic Trading: Winning Strategies and Their Rationale

Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Think Python: How to Think Like a Computer Scientist

Numsense! Data Science for the Layman: No Math Added

Python for Finance: Analyze Big Financial Data

Data Smart: Using Data Science to Transform Information into Insight

Artificial Intelligence: A Modern Approach

Competing on Analytics: Updated, with a New Introduction: The New Science of Winning

Think Stats: Exploratory Data Analysis

Building Winning Algorithmic Trading Systems, + Website: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading)