Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and ...

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 ...

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science, machine ...

Python is an almost universally loved programming language that many developers profess to be their “favorite” way to code. That’s thanks to Python’s clear and simple syntax, logical structure, and ...

Machine learning is the future. All signs suggest that the field is rapidly growing as more and more industries start to adapt to the technology and learn just how important it is to understand and ...

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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, ...

Mariah is a Berlin-based writer with six years of experience in writing, localizing and SEO-optimizing short- and long-form content across multiple niches, including higher education, digital ...

Spam filtering, face recognition, recommendation engines — when you have a large data set on which you’d like to perform predictive analysis or pattern recognition, machine learning is the way to go.

Facebook’s AI research team has released a Python package for GPU-accelerated deep neural network programming that can complement or partly replace existing Python packages for math and stats, such as ...