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What books should python ai read?

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May 21, 2019 pm 03:03 PM

What books should python ai read?

In artificial intelligence related positions, the content involved includes: algorithms, deep learning, machine learning, natural language processing, data structure, Tensorflow, Python, data mining, search development, neural Keywords such as network, visual measurement, image recognition, speech recognition, recommendation system, system algorithm, image algorithm, data analysis, probabilistic programming, computer mathematics, data warehouse, modeling, etc. basically cover the talents in the current artificial intelligence subdivision field. structure.

Category the knowledge and technology involved in the above positions, and recommend the following books

Artificial intelligence machine learning category: Python, machine learning, data science

What books should python ai read?

"Python Machine Learning Practice Guide" combines the two popular fields of machine learning and Python language, and uses Python for data analysis by using two core machine learning algorithms.

"Python Machine Learning - Core Algorithm for Predictive Analysis" Understand machine learning from the perspective of algorithm and Python language implementation.

"Practical Application of Machine Learning" is a masterpiece by Alibaba machine learning experts and sharing of practical experience. Based on the Alibaba Cloud machine learning platform, a complete solution has been built for 7 specific business scenarios.

"NLTK Basic Tutorial - Building Machine Learning Applications with NLTK and Python Libraries" introduces how to implement complex NLP tasks and machine learning applications by combining the NLTK library with some Python libraries.

Artificial intelligence algorithm strategy categories: algorithms, recommendation systems, programming, etc.

《Neural Network Algorithm and Implementation - Based on Java Language" completely demonstrates the process of developing neural networks using Java, with both very basic and advanced examples.

"Fun Learning Algorithms" has more than 50 examples to demonstrate the design, implementation, complexity analysis and optimization process of algorithms, cultivate algorithmic thinking, and help you feel the beauty of algorithms.

"Algorithm Puzzles" A must-have for algorithm interviews at first-class IT companies such as Google and Facebook, a collection of classic algorithm puzzles.

"Python Algorithm Tutorial" is a masterpiece by the author of the best-selling Python Basic Algorithm.

Related learning recommendations: python tutorial

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