分类： Eclipse

Machine Learning Yearning，by 吴恩达
计算与推断：数据科学基础
人工智能编程的 Lisp 范例（Paradigms of Artificial Intelligence Programming）
Bloomberg 机器学习课程
深度学习/机器学习面试笔记（中文）
数据挖掘教材
机器学习解释
深入深度学习（英文，中文）
TensorFlow-Course
简单粗暴 TensorFlow 2（中文）
基于模型的机器学习
Deep Learning Project
强化学习导论（第二版）
Grokking Deep Learning
神经网络与深度学习
让产品经理全面理解深度学习（中文）
面向机器学习的特征工程（中文）
理解机器学习：从理论到算法
Dive into Deep Learning
数据科学基础
机器学习的数学基础
自然语言处理
面向程序员的深度学习（Practical Deep Learning for Coders）（官网）
从头学习机器学习（Machine Learning from Scratch）

逆向工程权威指南 《Reverse Engineering for Beginners》 – Dennis Yurichev, Antiy Labs, Archer
逆向工程权威指南 《Reverse Engineering for Beginners》 Vol.1 – Dennis Yurichev, Antiy Labs, Archer (PDF)
逆向工程权威指南 《Reverse Engineering for Beginners》 Vol.2 – Dennis Yurichev, Antiy Labs, Archer (PDF)

📕 Paradigms of artificial intelligence programming (1991)
📕 Artificial intelligence a modern approach (1994)
📕 Machine learning (1997)
📖 The quest for artificial intelligence – a history of ideas and achievements (2009)
📕 Introduction to artificial intelligence (2011)
📕 Machine learning: a probabilistic perspective (2012)
📖 The Nature of Code (2012)
📕 Superintelligence: paths, dangers, strategies (2014)
📖 Understanding machine learning: from theory to algorithms (2014)
📖 Neural Networks and Deep Learning (2015)
📕 Deep Larning with Python (2017)
📕 Tensorflow machine learning cookbook (2017)
Code
📕 Hands-On Machine Learning with Scikit-Learn and TensorFlow (2017)
📕 Machine Learning with Go (2017) – Build simple, maintainable, and easy to deploy machine learning applications.
📖 Interpretable Machine Learning (2018)
📖 Deep learning
📖 Interpretable machine learning (2018) – Explaining the decisions and behavior of machine learning models.
📕 How Machine Learning Works (2019)- An introduction to both ML’s practice and math foundations in a non-threatning approach.
Code
📕 Grokking Deep Learning (2019)
📕 MachineLearningWithTensorFlow2ed (2020) – Book on general purpose machine learning techniques regression, classification, unsupervised clustering, reinforcement learning, auto encoders, convolutional neural networks, RNNs, LSTMs, using TensorFlow 1.14.1.
📕 Machine Learning Bookcamp (2020) – Project-based approach to learning machine learning.
📕 Trust in Machine Learning (2021) – Book about how to build machine learning systems that are explainable, robust, transparent, and optimized for fairness.
📖 Distributed Machine Learning Patterns (2023) – Distributed machine learning system patterns.

Automatic SketchUp presents the Ruby scripting interface to Google’s popular SketchUp tool for three-dimensional modeling. It explains how Ruby classes are used to form points, edges, and surfaces, and then proceeds to more advanced topics such as animation, web dialogs, and transformation matrices. It also presents the important topic of plugins, which make it possible to extend SketchUp’s capabilities with new tools, menu items, pages, layers, and dialogs.

This book starts with an introduction to EJB 3 and how to set up the environment, including the configuration of a MySQL database for use with WildFly. We will then develop object-relational mapping with Hibernate 4, build and package the application with Maven, and then deploy it in WildFly 8.1, followed by a demonstration of the use of Facelets in a web application. Moving on from that, we will create an Ajax application in the Eclipse IDE, compile and package it using Maven, and run the web application on WildFly 8.1 with a MySQL database. In the final leg of this book, we will discuss support for generating and parsing JSON with WildFly 8.1.

Want to build apps for Android devices? This book is the perfect way to master the fundamentals. Written by experts who have taught this mobile platform to hundreds of developers in large organizations and startups alike, this gentle introduction shows experienced object-oriented programmers how to use Android’s basic building blocks to create user interfaces, store data, connect to the network, and more. Throughout the book, you’ll build a Twitter-like application, adding new features with each chapter. You’ll also create your own toolbox of code patterns to help you program any type of Android application with ease.

Maven for Eclipse is an indispensable guide to help you understand and use Maven from within Eclipse IDE using the m2eclipse plugin. By no means is it an in-depth and comprehensive resource. Rather, it’s a quick and handy guide toward Maven project’s development. It starts with the basics of Apache Maven; covers core concepts; and shows you how to create, import, build, run, package, and customize to generate project artifacts of Maven projects using the m2eclipse plugin inside the Eclipse IDE.

This book is a fast-paced but thorough guide to the effective use of Eclipse’s features and plugins for real-world Java development. Interesting examples demonstrate how to use Eclipse to build, test, and debug applications using the tools provided by Eclipse as well as third-party plugins. Learn how to use Eclipse tools in a team environment, including Ant for moresophisticated build processes and CVS for source control. The Second Edition is completely updated for Eclipse 3.1 and adds coverage of three new major Eclipse features:

• The Visual Editor for developing graphical user applications (GUIs) using Swing/AWT and SWT
• The Web Tools Project for developing web applications with JSPs, Servlets, EJBs and Web Services
• The Eclipse Rich Client Platform for building robust, commercial-quality rich client applications like Google’s gmail