Python Machine Learning: A Beginner’s Guide to Python Programming for Machine Learning and Deep Learning, Data Analysis, Algorithms and Data Science with Scikit Learn, TensorFlow, PyTorch and Keras (Unabridged‪)‬

What is machine learning and why would a programmer want to learn how to use it? Is artificial intelligence the same as working with machine learning? Are you interested in becoming a machine learning expert but don't know where to start from? Keep reading...

The future of our world is evolving towards an era where interaction with machines form the foundation of most tasks we perform. In light of this, it is important to gain actionable knowledge in machine learning technologies and skills. These skills will be useful in the near future as you maneuver through different career paths.

Today data is driving many business processes, and without data, it is impossible to imagine where many of the top businesses would be. Imagine how you used to struggle with search results online back in the day, and how easy it is to look for something online today and get the right results. All this is possible through machine learning models.

What you need is a foundational approach to learning the basics of machine learning. You can use this knowledge to build your expertise in machine learning over time.

While this is an introductory level audiobook, it introduces you to vast concepts in machine learning that will be important to your career. By the end of the audiobook, you will have learned so much about machine learning and the respective python libraries that you will use when building models all the time.

An important aspect of machine learning that we must stress even at this juncture is data analysis. Data is key to the success of machine learning and deep learning models. When implemented properly, the kind of data you have will make a big difference in whether your model succeeds or not.

Since we are discussing machine learning and the future of computing as we know it, we will also dedicate some time to discussing the current trends in the world, and how they affect our ability to perform some tasks. In this case, we will look at the Internet of Things (IoT) and how we can use different approaches to integrate machine learning and IoT models.

Throughout these pages, you will learn:

The Fundamentals of Python for Machine Learning
Data Analysis in Python
Comparing Deep Learning and Machine Learning
Machine Learning with Scikit-Learn
Deep Learning with TensorFlow
Deep Learning with PyTorch and Keras
The Role of Machine Learning in the Internet of Things (IoT)
Looking to the Future with Machine Learning
And much more…


Even if you don’t have any background in machine learning and Python programming, this audiobook will give you the tools to develop machine learning models.

Arm yourself with all this knowledge!

Get the audiobook now!