Take your machine learning and data science knowledge to another level with this $46 bundle

The realms of artificial intelligence and data mining are expanding at an incredible rate, and so is the knowledge required to operate in these specialized fields. From writing code to automation practices, there is a lot to know whether you're looking for a career or a hobby.

Grab six ebooks and two courses at 89% off!

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Instead of assembling your own collection of reading and courses, what you need is a neat bundle that contains the stuff required. Right now, Windows Central Digital Offers has a deal on the Machine Learning and Data Science eBook and Course bundle; instead of paying $433, you'll pay just $46. That's 89% off of the regular price.

Within the bundle, there are six ebooks and two courses, including:

  • Learning Ansible 2: Second Edition eBook
  • Practical DevOps eBook
  • DevOps Automation Cookbook eBook
  • Python Machine Learning eBook
  • Mastering Python for Data Science eBook
  • Practical Data Analysis eBook
  • Data Mining with Python course
  • Python Machine Learning Projects course

Learn to use an automation platform with Ansible 2, learn to write Python code specifically for neural networks, and finally apply your newfound knowledge with data mining and machine learning projects.

Keep up to date with machine learning and data science with this $46 bundle!

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Thinking about furthering your career? Just want to have some machine learning knowledge under your belt? No matter the reason, this course will give you a major boost. Don't wait too long; this deal doesn't last forever.

WinC Staff

Home to the most invested and passionate Microsoft fans, Windows Central is the next generation destination for news, reviews, advice and buying recommendations on the Windows, PC and Xbox ecosystems, following all products, apps, software, AI advancements, and accessories. We've been around for more than decade, and we take our jobs seriously. Windows Central writers and editors value accuracy and editorial independence in everything we do, never receiving compensation for coverage and never pulling punches.