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Introduction to Machine Learning by MathWorks

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last updated:Feb 17, 2020

MathWorks Japan
MathWorks Japan
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We introduce machine learning, including how to decide on the algorithms to use and real-world examples!

Machine learning means teaching computers things that are taken for granted by humans and animals. In machine learning algorithms, information is learned directly from data using computational methods without relying on pre-defined equations called models. These algorithms are designed to adaptively improve their performance as the number of samples available for learning increases. The materials include the types of machine learning, how to determine the algorithms to use, and real-world examples. [Contents] ■ What is machine learning? ■ More data, more questions, and better answers ■ Types of machine learning ■ Supervised learning ■ Unsupervised learning *For more details, please refer to the PDF materials or feel free to contact us.

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Introduction to Machine Learning by MathWorks

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【Other Contents】 ■Method for deciding which algorithm to use ■When to use machine learning ■Real-world examples *For more details, please refer to the PDF document or feel free to contact us.

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[ebook] Introduction to Machine Learning with MATLAB Section 1: Introduction to Machine Learning

[ebook] Introduction to Machine Learning with MATLAB Section 1: Introduction to Machine Learning

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MathWorks is a leading company in numerical analysis software for engineers and researchers. Engineers and scientists around the world use MathWorks products as tools to accelerate discovery, innovation, and development. Please feel free to contact us if you have any inquiries.

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