Topic | Title |
---|---|
Machine Learning | [Getting Started with TensorFlow](src/Machine Learning/Getting-Started-with-TensorFlow.pdf) |
Machine Learning | [Building Machine Learning Systems with Python](src/Machine Learning/Building-Machine-Learning-Systems-with-Python.pdf) |
Machine Learning | [Mastering Machine Learning with scikitlearn](src/Machine Learning/Mastering-Machine-Learning-with-scikitlearn.pdf) |
Machine Learning | [Python Machine Learning](src/Machine Learning/Python-Machine-Learning.pdf) |
Machine Learning | [Advanced Machine Learning with Python](src/Machine Learning/Advanced-Machine-Learning-with-Python.pdf) |
Topic | Title |
---|---|
Database | fntdb07 architecture |
Topic | Title |
---|---|
Data Mining | [Data Mining Concepts and Techniques 3rd Edition](src/Data Mining/Data-Mining-Concepts-and-Techniques-3rd-Edition.pdf) |
Data Mining | [Learning Data Mining with Python](src/Data Mining/Learning-Data-Mining-with-Python.pdf) |
Topic | Title |
---|---|
Python | Mastering Python |
Python | Python 3 Text Processing with NLTK 3 Cookbook |
Python | Learning Python |
Python | Learning pandas |
Python | Mastering Python Design Patterns |
Python | Modular Programming with Python |
Python | Python Data Visualization Cookbook |
Python | Python Data Visualization Cookbook Second Edition |
Python | Automate it Recipes to upskill your business |
Python | Python 3 Objectoriented Programming Second Edition |
Python | Learning Robotics Using Python |
Topic | Title |
---|---|
Theory | Reinforcement Learning Draft |
Theory | Probability Theory The Logic of Science |
Theory | Introduction to Probability |
Theory | Convex Optimization |
Theory | Machine Learning A Probabilistic Perspective |
Theory | Numerical Optimization |
Theory | Mathematics Computer Science |
Theory | Fundation of Computer Science |
Theory | Doing Bayesian Data Analysis |
Theory | An Introduction to Statistical Learning |
Theory | Ensemble Methods Foundations and Algorithms |
Theory | Elements of Information Theory |
Theory | [Bayesian Reasoning and Machine Learning cd70](src/Theory/Bayesian Reasoning and Machine Learning-cd70.pdf) |
Theory | Probability Theory 概率论沉思录 |
Theory | Python for Probability Statistics and Machine Learning |
Theory | Introduction to Linear Algebra 4th Edition |
Theory | Introduction to Probability Grinstead and Snell |
Theory | The Elements of Statistical Learning |
Topic | Title |
---|---|
R | Building a Recommendation System with R |
R | R Graph Essentials |
Topic | Title |
---|---|
Game Theory | [Game Theory A Multi Leveled Approach](src/Game Theory/Game-Theory-A-Multi-Leveled-Approach.pdf) |
Topic | Title |
---|---|
C | C程序设计语言 第2版 |
C | Modern C |
Topic | Title |
---|---|
Spark | Learning Spark Lightning Fast Data Analysis |
Spark | Apache Spark 2.x Cookbook |
Spark | Spark GraphX in Action |
Spark | [Advanced Analytics with Spark](src/Spark/Advanced-Analytics-with Spark.pdf) |
Spark | Apache Spark Graph Processing |
Spark | Learning PySpark |
Spark | Machine Learning with Spark |
Spark | Apache Spark for Data Science Cookbook |
Spark | Master Apache Spark |
Spark | [Machine Learning with Spark Second Edition](src/Spark/Machine Learning-with-Spark-Second-Edition.pdf) |
Spark | High Performance Spark |