Автор: Konnor Cluster
Издательство: Amazon Digital Services LLC
Год: 2019
Страниц: 144
Язык: английский
Формат: epub, rtf, pdf (conv)
Размер: 10.06 MB
If you need to learn how to use the Python Programming Language to implement your own Machine Learning solution, and you are searching for a reference to start from, then keep reading.
Machine learning represents now the most interesting, performing and growing technology among all technologies related to Artificial Intelligence and represents also an incredible opportunity if you want to grow your business or if you are searching for a new job, but it’s not very easy to understand how it works. Sometimes, even the most seasoned and skilled engineers are scared to approach this new topic.
In the third section of this guidebook, we are going to take a look at our very first Python library and what you can do with it when it comes to machine learning. We will explore a bit about Scikit-Learn and what this library can do, before diving into some of the supervised and unsupervised machine learning that you are able to do with this kind of library.
To finish out this guidebook, we are going to explore our second Python library of TensorFlow. There are some neat things that you can do with machine learning when it comes to TensorFlow that you are not able to do with any other coding library, so it is definitely a section you will want to check out. Inside we are going to explore the TensorFlow library, how to work with High level and low-level APIs, and how to handle estimators.
There is so much that you can do when we talk about machine learning, and the Python coding language makes it that much easier for everyone to get started. when you are ready to learn more about Python machine learning and how to get started with some of your own projects today, make sure to check out this guidebook to help you out!
This book can assist you in understanding:
How machine learning works
How to work with Python
How to set up and run a machine learning solution on your home computer
How to use two of the most popular Machine Learning libraries
Even if you have not a degree in computer science or math, even if you have never worked with Machine Learning or Python, with this book you can understand how to benefit from this set of technologies and unlock their extraordinary potential.
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