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 - 10h 13m.
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 - 10h 13m. Author - Peter Bradley. Narrator - Cliff Weldon. Published Date - Monday, 16 January 2023. Copyright - © 2019 Peter Bradley ©.
Language:
English
Opening Credits
Duración:00:00:17
Opening Credits - Machine Learning Beginners
Duración:00:00:18
Machine Learning Introduction Beginners
Duración:00:04:01
Chapter 1 - What is Machine Learning
Duración:00:10:22
Chapter 2 - Facts about Machine Learning
Duración:00:08:24
Chapter 3 - Types of Machine Learning
Duración:00:14:30
Chapter 4 - Top Six Real Life Applications of Machine Learning
Duración:00:08:01
Chapter 5 - Machine Learning Algorithms
Duración:00:23:18
Chapter 6 - Machine Learning Projects
Duración:00:08:24
Chapter 7 - Artificial Intelligence
Duración:00:09:19
Conclusion
Duración:00:02:04
Closing Credits - Beginners
Duración:00:00:30
Opening credits intermediate
Duración:00:00:12
Introduction - Intermediate
Duración:00:00:57
Chapter 1 - Practical Examples of Machine Learning
Duración:00:11:54
Chapter 2 - Advantages and Disadvantages of Machine Learning
Duración:00:03:49
Chapter 3 - How to Create and Train Machine Learning Models
Duración:00:01:58
Chapter 4 - An Introduction to Deep Learning
Duración:00:07:10
Chapter 5 - An Introduction to Neural Networks
Duración:00:13:07
Chapter 6 - Building Your First Algorithm in Python
Duración:00:08:42
Chapter 7 - How to Build An Algorithm in Python
Duración:00:41:39
Chapter 8 - How To Evaluate Machine Learning Algorithms in Python
Duración:00:35:20
Chapter 9 - How To Develop a Neural Network in Python using Keras
Duración:00:22:55
Conclusion - Intermediate
Duración:00:02:30
Closing Credits - Intermediate
Duración:00:00:18
Opening Credits - Advanced Machine Learning
Duración:00:00:13
Introduction - Advanced Machine Learning
Duración:00:01:15
Chapter 1 - Machine Learning versus Deep Learning
Duración:00:05:10
Chapter 2 - Steps in Building a Machine Learning System
Duración:00:02:28
Chapter 3 - Why Use Python for Machine Learning
Duración:00:13:58
Chapter 4 - Supervised Algorithms Implementation
Duración:01:08:40
Chapter 5 - Unsupervised Learning Algorithms
Duración:00:25:42
Chapter 6 - Python Environment for Deep Learning
Duración:00:03:47
Chapter 7 - How to Evaluate the Performance of a Deep Learning Model
Duración:00:18:48
Chapter 8 - How to Save and Load Deep Learning Models
Duración:00:28:08
Chapter 9 - Reducing Dropouts in Deep Learning Models
Duración:00:21:39
Conclusion - Advanced Machine Learning
Duración:00:00:24
Closing Credits - Advanced Machine Learning
Duración:00:00:19
Opening Credits - Exploration
Duración:00:00:13
Introduction - Exploration
Duración:00:00:59
Chapter 1 - An Introduction to Descriptive Statistics
Duración:00:23:25
Chapter 2 - An Introduction to Artificial Intelligence
Duración:00:06:11
Chapter 3 - The Artificial Intelligence Ecosystem
Duración:00:13:39
Chapter 4 - Big Data and Artificial Intelligence
Duración:00:10:01
Chapter 5- Building A Genetic Algorithm In Python
Duración:01:14:37
Chapter 6 - Activation Functions Used to Develop Deep Learning Models
Duración:00:04:39
Chapter 7 - Building A Neural Network in R
Duración:00:16:30
Chapter 8 - Fitting A Neural Network
Duración:00:25:33
Conclusion - Exploration
Duración:00:06:14
Closing credits - Exploration
Duración:00:00:20
Closing Credits - Machine Learning Bundle
Duración:00:00:25