Libraries remain repositories of all human knowledge. So build a library of your own around one of today’s (and possibly tomorrow’s) most innovative technology fields — machine learning.
With the Machine Learning and Data Science eBook and course bundle (available now for only $46, 89 percent off) from TNW Deals, you’ll have all the material you need to understand one of the most fascinating and employment-driving scientific frontiers around.
In this package, you’ll get six informative (and space-efficient) ebooks, covering the means for manipulating data, then using it to engineer computers and digital systems that can virtually think for themselves.
You’ll receive:
The 💜 of EU tech
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Learning Ansible 2: Second Edition eBook – a $36 value
With Ansible, you’ll learn the platform built for assembling automated systems and getting them working together.
Practical DevOps eBook – a $36 value
From coding to testing to production, DevOps teaches you how to deliver data products with smarts and efficiency.
DevOps Automation Cookbook eBook – a $40 value
Learn the tools for whipping up revolutionary app and software pipelines.
Python Machine Learning eBook – a $36 value
Through unique algorithms and stat models, you’ll see how Python is driving the development of self-taught machinery.
Mastering Python for Data Science eBook – a $48 value
Data analysis, machine learning, algorithmic problem solving… you’ll see how hands-on data science REALLY works.
Practical Data Analysis eBook – a $40 value
Understand how to analyze data the right way to steer informed business decisions.
You’ll also get two courses, geared to put all your book-learning into practice:
Data Mining with Python – a $72 value
21 lectures help you unlock the key concepts of data mining — as well as what to do with that data in the real world.
Python Machine Learning Projects – a $125 value
Carry out actual working projects utilizing machine learning and Python’s role in its creation.
An over $430 value, jump on this package now for only $46 before the deal expires.
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