Python Machine

Python Machine



$4.99

1.0for iPhone, iPad
Age Rating
4+
Apps in this category do not contain restricted content.
9+
Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.
12+
Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.
17+
You must be at least 17 years old to access this App.
Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.
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About Python Machine

This is a Excellent Video Training on Python Machine

Understand which algorithms to use in a given context with the help of this exciting video-based guide

Learn about perceptrons and see how they are used to build neural networks

Stuck while making sense of images, text, speech, and real estate? This guide will come to your rescue, showing you how to perform machine learning for each one of these using various techniques

Machine learning is increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more.

With this course, you will learn how to perform various machine learning tasks in different environments. Well start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the course, youll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms.

Youll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modelling, data visualization techniques, recommendation engines, and more with the help of real-world examples.
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تحديث لأحدث إصدار 1.0

Last updated on 02/12/2016
Version History
1.0
02/12/2016

Python Machine FAQ

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iPhone
iPad
Python Machine هي مدعومة على اللغات English

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أكثر البرنامج من Jason Stafford