Machine Learning & Python for Machine Learning: 2 Books in 1: Learn All About Artificial Intelligence & Data Science, Data Mining and Data Analysis (Unabridged‪)‬

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Beschreibung des Verlags

You are one click away from learning the ins and outs of the computing technologies that are set to change the way we do things in the near future.

Artificial intelligence, machine learning, big data, data analytics, deep learning, data science, and other related subjects are without doubt set to become the next big frontier in computing. With technologies like self-driving cars, drone warfare, social media, home automation, IoT, robotics, virtual voice assistants, and many others that are driven by these fields of computer science, it is clear that these computing concepts will impact the world in a big way in the next few years.

I know you know how to make smart decisions….

The smart thing to do right now is to position yourself perfectly for the next big thing by learning the ins and outs of these breakthroughs in computing so that you can apply this knowledge to build a career out of it or invest in it.

I know you are wondering….

So what do all these terms mean?
How are they related?
How can you start learning one or all of them?
Do you need to learn programming languages and if so, which is the best one?
How are they all applied in different parts of our everyday life?
How can you move from being a complete beginner, having come across these concepts for the first time today, to having expert level knowledge on all these?

This two-in-one bundle will answer each one of these questions and some more. The information in this bundle is both deep and wide about these concepts.

More precisely, this two-in-one bundle covers:

The basics of artificial intelligence, data science, machine learning, neural networks, big data, data mining, deep learning, and others, including what each term means, what each entails, and much more
How all these terms are related, how they are different, and how they are applied in today’s world
The different machine learning algorithms in use, including how each of them has something unique to offer
The best programming languages for implementing the different computing concepts
The ins and outs of data science, including the relationship between data science and supervised learning as well as different classes of data science
How to apply machine learning and other concepts like artificial intelligence, deep learning, data analysis, data analytic, and machine learning in organizational processes
Where and why python programming language comes in as the preferred programming language for next level computing
How different python libraries are being used to make machine learning, artificial intelligence, deep learning, data analytics, and other concepts possible
How you can smartly develop as well as train a multi-layer artificial neural network
How you can start making optimal decisions by making the most of decision trees in machine learning
The classification algorithms used in machine learning, including how to make the most of them
And much more!

Remember: You don’t need to have any prior experience with all these to learn and understand what’s in this book, as everything is laid out in easy-to-follow, beginner friendly language.

Click "Buy Now" to get started!

Sarah Margrave
Std. Min.
9. März
Jeff Phoenix