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- Author: Peter Bradley
- Publisher: Draft2Digital
- Year: 2019
- Pages: 120
- ISBN-10: 139343844X
- ISBN-13: 9781393438441
- Format: 14 x 21.6 x 0.7 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Machine Learning - A Complete Exploration of Highly Advanced Machine Learning Concepts, Best Practices and Techniques (e-book) (used book) | bookbook.eu
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Description
Do you know how to build a Machine Learning Algorithm in Python?
Have you learned how to build a Neural Network in Python?
If you have read the first three books in the series, you will know how to do both those things. If you want to learn more about the concepts related to Machine Learning, and some subjects and concepts that are linked to Machine Learning, you have come to the right place.
Over the course of the book, you will gather information on the following:
- Subjects linked to Machine Learning
- Artificial Intelligence
- Big Data
- Building Generic Algorithms in Python
- Activation functions used to build Neural Networks
- Building a Neural Network in R
The information in this book will help you learn more about Machine Learning. You should now be able to link some of the concepts in Machine Learning with the work you do, or the work you want to do. Once you practice the models in the book, you can build your very own models in either R or Python.
So What are You Waiting For? It is never to early or late to learn. Grab a copy of this book Now, and build your very own genetic Algorithm in Python and a Neural Network in R.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 21d.01:46:07
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Peter Bradley
- Publisher: Draft2Digital
- Year: 2019
- Pages: 120
- ISBN-10: 139343844X
- ISBN-13: 9781393438441
- Format: 14 x 21.6 x 0.7 cm, minkšti viršeliai
- Language: English English
Do you know how to build a Machine Learning Algorithm in Python?
Have you learned how to build a Neural Network in Python?
If you have read the first three books in the series, you will know how to do both those things. If you want to learn more about the concepts related to Machine Learning, and some subjects and concepts that are linked to Machine Learning, you have come to the right place.
Over the course of the book, you will gather information on the following:
- Subjects linked to Machine Learning
- Artificial Intelligence
- Big Data
- Building Generic Algorithms in Python
- Activation functions used to build Neural Networks
- Building a Neural Network in R
The information in this book will help you learn more about Machine Learning. You should now be able to link some of the concepts in Machine Learning with the work you do, or the work you want to do. Once you practice the models in the book, you can build your very own models in either R or Python.
So What are You Waiting For? It is never to early or late to learn. Grab a copy of this book Now, and build your very own genetic Algorithm in Python and a Neural Network in R.
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