PirateBay Download | machine learning data science deep learning python

machine learning data science deep learning python

Type:: Other
Files:: 4
Size:: 7.4 GB
Uploaded On:: Jan. 27, 2019, 1:32 a.m.
Added By:: tuts756
Seeders:: 18
Leechers:: 1
Info Hash:: DA6534D446C06158D6EAED9BE1D08F2C251B1F86

Description Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average! And it’s not just about money – it’s interesting work too! Who this course is for: Software developers or programmers who want to transition into the lucrative data science and machine learning career path will learn a lot from this course. Technologists curious about how deep learning really works Data analysts in the finance or other non-tech industries who want to transition into the tech industry can use this course to learn how to analyze data using code instead of tools. But, you’ll need some prior experience in coding or scripting to be successful. If you have no prior coding or scripting experience, you should NOT take this course – yet. Go take an introductory Python course first. Requirements You’ll need a desktop computer (Windows, Mac, or Linux) capable of running Enthought Canopy 1.6.2 or newer. The course will walk you through installing the necessary free software. Some prior coding or scripting experience is required. At least high school level math skills will be required. This course walks through getting set up on a Microsoft Windows based desktop PC. While the code in this course will run on other operating systems, we cannot provide OS-specific support for them. Last updated 12/2018

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Machine Learning, Data Science and Deep Learning with Python.zip 7.4 GB
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machine learning data science deep learning python

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