Machine Learning
A Complete Exploration of Highly Advanced Machine Learning Concepts, Best Practices, and Techniques
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ナレーター:
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Cliff Weldon
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著者:
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Peter Bradley
このコンテンツについて
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 listened to the first three audiobooks 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 audiobook, 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 audiobook 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 audiobook, you can build your very own models in either R or Python.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2019 Peter Bradley (P)2019 Peter Bradley