深度学习迷你地图

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深度学习迷你地图
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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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- Introducing Python: Modern Computing in Simple Packages
  
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- Naked Statistics: Stripping the Dread from the Data
  
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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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- 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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- 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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- 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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- Data Smart: Using Data Science to Transform Information into Insight
  
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- Artificial Intelligence: A Modern Approach
  
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原文地址：https://www.cnblogs.com/Eufisky/p/9692422.html

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)