Machine Learning
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 learningAdvantages of using PythonAssessing or evaluating a neural networkThe 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.
Duration - 3h 10m.
Author - Peter Bradley.
Narrator - Cliff Weldon.
Published Date - Monday, 16 January 2023.
Copyright - © 2019 Peter Bradley ©.
Location:
United States
Description:
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 learningAdvantages of using PythonAssessing or evaluating a neural networkThe 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. Duration - 3h 10m. Author - Peter Bradley. Narrator - Cliff Weldon. Published Date - Monday, 16 January 2023. Copyright - © 2019 Peter Bradley ©.
Language:
English
Opening Credits
Duration:00:00:13
Introduction
Duration:00:01:15
Chapter One: Machine-Learning versus Deep Learning
Duration:00:05:10
Chapter Two: Steps in Building a Machine-Learning System
Duration:00:02:28
Chapter Three: Why Use Python for Machine-Learning
Duration:00:13:58
Chapter Four: Supervised Algorithms Implementation
Duration:01:08:40
Chapter Five: Unsupervised Learning Algorithms
Duration:00:25:42
Chapter Six: Python Environment for Deep Learning
Duration:00:03:47
Chapter Seven: How to Evaluate the Performance of a Deep Learning Model
Duration:00:18:48
Chapter Eight: How to Save and Load Deep Learning Models
Duration:00:28:08
Chapter Nine: Reducing Dropouts in Deep Learning Models
Duration:00:21:39
Conclusion
Duration:00:00:24
Ending Credits
Duration:00:00:19