Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Get a theoretical and practical machine learning and artificial intelligence education with these 108 novice-friendly lessons.

Python is used to power platforms, perform data analysis, and run their machine learning models. Get started with Python for technical SEO.

This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

Programming languages: Basic to intermediate experience with Python, Jupyter Notebook Math: Basic level Probability and Statistics, Linear Algebra Technical requirements: Windows or Mac, Linux, ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

In a paper in PLOS Computational Biology, the SFSU team published a step-by-step machine learning tutorial for beginners.