Machine Learning
Peter Bradley
Machines are created to make work easier for us, but so many have seen machines as a major barrier due to their supposed technicality.
Are you a novice trying to understand the basics of machines?
Do you have prior knowledge and wish to acquire further understanding about tensorflow, scikit- learn, algorithms, decision trees, random forest, deep learning, or neural networks?
Are you even a pro and wish to add to your knowledge?
This audiobook is all you need. This painstakingly compiled manuscript unravels the rudiments and generality of machine learning. It is total and all-encompassing, with accurate and concise principles of machine learning. This quintessential book comprises modules that cut across various levels of knowledge in machine learning. It is an exquisite material that grants you practical knowledge of machines. It weighs more than mere words; it is gold in the manuscript.
You might not know how much you know or how much you need to know until you avail yourself of essential materials. This audiobook is not all you need to understand machine learning; it is all you need to uncover the full scope of learning machines.
Technicality is very relative when you have the right knowledge. Stay ahead; make a choice that will last.
Would You Like To Know More? Buy this audiobook NOW!!
Duration - 13h 41m.
Author - Peter Bradley.
Narrator - Cliff Weldon.
Published Date - Monday, 16 January 2023.
Copyright - © 2019 Peter Bradley ©.
Location:
United States
Description:
Machines are created to make work easier for us, but so many have seen machines as a major barrier due to their supposed technicality. Are you a novice trying to understand the basics of machines? Do you have prior knowledge and wish to acquire further understanding about tensorflow, scikit- learn, algorithms, decision trees, random forest, deep learning, or neural networks? Are you even a pro and wish to add to your knowledge? This audiobook is all you need. This painstakingly compiled manuscript unravels the rudiments and generality of machine learning. It is total and all-encompassing, with accurate and concise principles of machine learning. This quintessential book comprises modules that cut across various levels of knowledge in machine learning. It is an exquisite material that grants you practical knowledge of machines. It weighs more than mere words; it is gold in the manuscript. You might not know how much you know or how much you need to know until you avail yourself of essential materials. This audiobook is not all you need to understand machine learning; it is all you need to uncover the full scope of learning machines. Technicality is very relative when you have the right knowledge. Stay ahead; make a choice that will last. Would You Like To Know More? Buy this audiobook NOW!! Duration - 13h 41m. Author - Peter Bradley. Narrator - Cliff Weldon. Published Date - Monday, 16 January 2023. Copyright - © 2019 Peter Bradley ©.
Language:
English
Opening Credits
Duration:00:17:38
Opening Credits - Machine Learning Beginners
Duration:00:18:49
Machine Learning Introduction Beginners
Duration:04:01:56
Chapter 1 - What is Machine Learning
Duration:10:22:08
Chapter 2 - Facts about Machine Learning
Duration:08:24:29
Chapter 3 - Types of Machine Learning
Duration:14:30:29
Chapter 4 - Top Six Real Life Applications of Machine Learning
Duration:08:01:21
Chapter 5 - Machine Learning Algorithms
Duration:23:18:51
Chapter 6 - Machine Learning Projects
Duration:08:24:16
Chapter 7 - Artificial Intelligence
Duration:09:19:29
Conclusion
Duration:02:04:45
Closing Credits - Beginners
Duration:00:30:32
Opening credits intermediate
Duration:00:12:04
Introduction - Intermediate
Duration:00:57:47
Chapter 1 - Practical Examples of Machine Learning
Duration:11:54:24
Chapter 2 - Advantages and Disadvantages of Machine Learning
Duration:03:49:26
Chapter 3 - How to Create and Train Machine Learning Models
Duration:01:58:13
Chapter 4 - An Introduction to Deep Learning
Duration:07:10:53
Chapter 5 - An Introduction to Neural Networks
Duration:13:07:47
Chapter 6 - Building Your First Algorithm in Python
Duration:08:42:31
Chapter 7 - How to Build An Algorithm in Python
Duration:41:39:50
Chapter 8 - How To Evaluate Machine Learning Algorithms in Python
Duration:35:20:03
Chapter 9 - How To Develop a Neural Network in Python using Keras
Duration:22:55:20
Conclusion - Intermediate
Duration:02:30:38
Closing Credits - Intermediate
Duration:00:18:44
Opening Credits - Advanced Machine Learning
Duration:00:13:41
Introduction - Advanced Machine Learning
Duration:01:15:49
Chapter 1 - Machine Learning versus Deep Learning
Duration:05:10:13
Chapter 2 - Steps in Building a Machine Learning System
Duration:02:28:51
Chapter 3 - Why Use Python for Machine Learning
Duration:13:58:48
Chapter 4 - Supervised Algorithms Implementation
Duration:08:40:40
Chapter 5 - Unsupervised Learning Algorithms
Duration:25:42:24
Chapter 6 - Python Environment for Deep Learning
Duration:03:47:07
Chapter 7 - How to Evaluate the Performance of a Deep Learning Model
Duration:18:48:02
Chapter 8 - How to Save and Load Deep Learning Models
Duration:28:08:36
Chapter 9 - Reducing Dropouts in Deep Learning Models
Duration:21:39:09
Conclusion - Advanced Machine Learning
Duration:00:24:45
Closing Credits - Advanced Machine Learning
Duration:00:19:57
Opening Credits - Exploration
Duration:00:13:04
Introduction - Exploration
Duration:00:59:52
Chapter 1 - An Introduction to Descriptive Statistics
Duration:23:25:37
Chapter 2 - An Introduction to Artificial Intelligence
Duration:06:11:50
Chapter 3 - The Artificial Intelligence Ecosystem
Duration:13:39:33
Chapter 4 - Big Data and Artificial Intelligence
Duration:10:01:11
Chapter 5- Building A Genetic Algorithm In Python
Duration:14:37:11
Chapter 6 - Activation Functions Used to Develop Deep Learning Models
Duration:04:39:06
Chapter 7 - Building A Neural Network in R
Duration:16:30:32
Chapter 8 - Fitting A Neural Network
Duration:25:33:20
Conclusion - Exploration
Duration:06:14:22
Closing credits - Exploration
Duration:00:20:13
Closing Credits - Machine Learning Bundle
Duration:00:25:42