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Getting Started with Machine Learning for Developers

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Getting Started with Machine Learning for Developers
Getting Started with Machine Learning for Developers
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 246 MB
Genre: eLearning | Language: English

Most of us have heard about the term Machine Learning, but surprisingly the question frequently asked by developers across the Globe is, "How do I get started in Machine Learning?" One reason could be the vastness of the subject area because people often get overwhelmed by the abstractness of ML and terms such as regression, supervised learning, probability density function, and so on. This systematic guide will teach you various Machine Learning techniques.

You start with the very basics of data and mathematical models in easy-to-follow language that you are familiar with; you will feel at home while implementing the examples. The course introduces you to various libraries and frameworks used in the world of Machine Learning, and then, without wasting any time, you will get to the point and implement regression, clustering, classification, and more, all with fun examples.

Getting Started with Machine Learning for Developers

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  1. 开发者的机器学习入门 我们中的大多数人听说过机器学习,但是经常被全世界的开发者所问到的是“我该如何开始使用机器学习?”一个原因可能是这个领域相当宽泛,因为人们经常被机器学习的抽象性所吓倒,如递归、监督学习、概率密度函数等。这部系统性的教程将会教给你各种机器学习的技术。 你将以通俗易懂的语言,从非常基础的数据和数学模型开始学习;你会感觉到在实施这些例子上非常地加单。本教程会为你介绍各种在机器学习中的类库和框架,无需浪费任何时间,你将会通过有趣的例子掌握实施递归、集群、分类等内容。
    wilde(特殊组-翻译)4个月前 (01-24)