Basics of Linear Algebra for Machine Learning - Discover the Mathematical Language of Data in Python by Jason Brownlee 19 step-by-step lessons, 211 pages. 线性代数是机器学习的支柱。没有机器学习，你就无法对机器学习产生深刻的理解和应用。 在这个新的激光聚焦电子书写在友好的机器学习掌握风格，你习惯了，你最终会切开方程，希腊字母和混乱，并发现在线性代数的主题，你需要知道。 通过清晰的解释、标准的 Python 库和分步教程课程，您将发现什么是线性代数、线性代数对机器学习、矢量和矩阵操作、矩阵保理、主要组件分析等的重要性。

deep learning with python Jason Brownlee 2019 v1.15 原版PDF加代码,截止至2019.3.10最新的电子书+代码资源

Deep learning neural networks have become easy to define and fit, but are still hard to configure. In this new eBook written in the friendly Machine Learning Mastery style that you’re used to, discover exactly how to improve the performance of deep learning neural network models on your predictive modeling projects. With clear explanations, standard Python libraries, and step-by-step tutorial lessons, you’ll discover how to better train your models, reduce overfitting, and make more accurate predictions.

Develop Deep Learning models on Theano and Tensorflow and Keras by Jason Brownlee

machine_learning(Jason Brownlee) 3. Master Machine Learning Algorithms Discover How They Work and Implement Them From Scratch,6. Machine Learning Mastery With Python Understand Your Data, Create Accurate Models and work Projects End-to-End