Master Machine Learning Algorithms
Finally Pull Back The Curtain And See How They Work With Clear Descriptions, Step-By-Step Tutorials and Working Examples in Spreadsheets
by Jason Brownlee
10 top algorithms described. 12 step-by-step tutorials, 163 pages. 16 spreadsheets with working algorithms.
你必须了解算法才能在机器学习中取得好成绩（并被公认为优秀）。
在这个巨型电子书是写在友好的机器学习掌握风格，你习惯了，最后切入数学，并了解机器学习算法是如何工作的，然后从零开始，一步一步地实现它们。
2021-06-26 16:02:33
1.02MB
Probability is the bedrock of machine learning. You cannot develop a deep understanding and application of machine learning without it.
Cut through the equations, Greek letters, and confusion, and discover the topics in probability that you need to know.
Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of probability to machine learning, Bayesian probability, entropy, density estimation, maximum likelihood, and much more.
2021-06-20 18:00:18
3.26MB
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