If you have Python skills and are looking to grow your machine learning skills, this book is for you.Introduction to Machine Learning with Pythonis one of the best resources to build the fundamentals for working with machine learning in Python. Co-authored by world-class data scientists Andreas...
at the same time, backs the latest products’ development. Multiple leading organizations of today, like Uber, Google, and Facebook make machine learning an integral part of their operations. Machine learning has evolved to be an important competitive...
“Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You’ll explore cha...
That’s the best book I’ve ever seen for an entry level Machine Learning Engineer. Intermediate Level If you’ve completed a bunch of machine learning projects for yourself and get accustomed to working with machine learning models, here are the books which will take you further: Python ...
machine learning algorithms via SQL and PL/SQL, with support for Python and R coming soon. Oracle Machine Learning Notebooks uses Apache Zeppelin technology, enabling teams to collaborate to build, assess, and deploy machine learning models. Multi-user collaboration enables the same notebook to be...
Not a book, but a great place you can start out is theMachine Learning and Statistical Learningview on CRAN maintained by Torsten Hothorn. It lists most of the R packages you can use for machine learning, grouped by algorithm and algorithm types. ...
In this article, we have listed some of the best free machine learning books that you should consider going through (no order in particular).
1.Andrew Ng'sMachine Learning at Coursera 很多人接触的第一个关于机器学习的视频大概就是Andrew Ng的课,入门课,讲的清晰易懂,涉及数学的方面也没有讲的很深奥,基本上都能听懂。如果数学基础差,也可以在网上搜一下这个课程的学习笔记,很多人总结的还是很好的,也很详细。唯一的不好就是这么课的编程语言是Octave...
All you need to know about Machine Learning in a hundred pages. Supervised and unsupervised learning, support vector machines, neural networks, ensemble methods, gradient descent, cluster analysis and dimensionality reduction, autoencoders and transfer l
Use AI to understand the state of historical structures and recommend the best places to visit to tourists. Project15 Predict the Demand and Sales of a Restaurant Predict demand for various items across restaurants using machine learning and deep learning algorithms to forecast sales over time. ...