Peter Bradley

Do you have a clear understanding of the different types of machine learning algorithms?

Do you know what a neural network is and how you can build one?

If you have heard the second audiobook in the series, the answer to both questions is YES.

If you want to gather more information about machine learning, deep learning, and neural networks, you have come to the right place.

Over the course of the audiobook, you will gather information on the following:

The difference between machine learning and deep learning • Python libraries
Advantages of using Python • Developing supervised and unsupervised machine learning algorithms in Python
Assessing or evaluating a neural network
The information in this audiobook will help you gather a clear understanding of what machine learning is, how you can build different models, and where you can use these models. You can use the programs given in the audiobook as a sample or a base for building your own. If you are still learning how to code in Python, you can simply copy the code in the books and analyze different input data sets.

So what are you waiting for? Grab a copy of this audiobook Now, and build your very own regression and clustering machine learning algorithms.

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