Fundamentals of Machine Learning
DSA Shots
Welcome to "Fundamentals of Machine Learning"! This comprehensive guide is designed to provide an introduction to the fascinating world of machine learning and artificial intelligence. Whether you're a seasoned programmer or just starting out, this book will take you on a journey through the fundamentals of these technologies and their applications in various industries.
Artificial Intelligence (AI) has been a buzzword for years, but what does it really mean? In simple terms, AI refers to any software that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Machine learning is a subset of AI that focuses on developing algorithms and statistical models that enable computers to learn from data without being explicitly programmed.
This book will cover the following topics:
* Introduction to Artificial Intelligence and Machine Learning
* Differences Between Classical Programming and Artificial Intelligence
* Machine Learning Models and their Types (Supervised, Unsupervised, and Reinforcement Learning)
* Deep Learning Techniques and Large Language Models (LLMs)
* Applications of Machine Learning in various industries such as Healthcare, Finance, Marketing, and more.
By the end of this book, you will have a solid understanding of the fundamentals of machine learning and artificial intelligence, and how they can be applied to real-world scenarios. Whether you're looking to start a career in this field or simply want to learn more about it, this book is an excellent starting point for your journey. So, let's get started!
Duration - 3h 32m.
Author - DSA Shots.
Narrator - H. Green.
Published Date - Monday, 08 January 2024.
Copyright - © 2023 DSA Shots ©.
Location:
United States
Description:
Welcome to "Fundamentals of Machine Learning"! This comprehensive guide is designed to provide an introduction to the fascinating world of machine learning and artificial intelligence. Whether you're a seasoned programmer or just starting out, this book will take you on a journey through the fundamentals of these technologies and their applications in various industries. Artificial Intelligence (AI) has been a buzzword for years, but what does it really mean? In simple terms, AI refers to any software that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Machine learning is a subset of AI that focuses on developing algorithms and statistical models that enable computers to learn from data without being explicitly programmed. This book will cover the following topics: * Introduction to Artificial Intelligence and Machine Learning * Differences Between Classical Programming and Artificial Intelligence * Machine Learning Models and their Types (Supervised, Unsupervised, and Reinforcement Learning) * Deep Learning Techniques and Large Language Models (LLMs) * Applications of Machine Learning in various industries such as Healthcare, Finance, Marketing, and more. By the end of this book, you will have a solid understanding of the fundamentals of machine learning and artificial intelligence, and how they can be applied to real-world scenarios. Whether you're looking to start a career in this field or simply want to learn more about it, this book is an excellent starting point for your journey. So, let's get started! Duration - 3h 32m. Author - DSA Shots. Narrator - H. Green. Published Date - Monday, 08 January 2024. Copyright - © 2023 DSA Shots ©.
Language:
English
1 Opening Credits
Duración:00:01:21
2 Preface
Duración:00:02:11
3 Introduction
Duración:00:02:06
4 artificial intelligence
Duración:00:06:11
5 differences between classical programming and artificial intelligence
Duración:00:04:57
6 machine learning
Duración:00:04:19
7 deep learning
Duración:00:04:35
8 applied vs generalized ai
Duración:00:07:09
9 machine learning features and labels
Duración:00:03:33
10 machine learning training models
Duración:00:05:05
11 machine learning training models types of training models
Duración:00:05:06
12 machine learning training models hyperparameter tuning
Duración:00:05:03
13 machine learning supervised learning
Duración:00:06:52
14 machine learning supervised learning regression
Duración:00:05:44
15 machine learning supervised learning classification
Duración:00:04:14
16 machine learning supervised learning applications of supervised learning
Duración:00:04:45
17 machine learning classification
Duración:00:04:34
18 machine learning regression
Duración:00:05:20
19 machine learning unsupervised learning
Duración:00:03:53
20 machine learning unsupervised learning clustering
Duración:00:04:43
21 machine learning unsupervised learning dimension reduction
Duración:00:03:49
22 machine learning unsupervised learning applications of unsupervised learning
Duración:00:04:28
23 reinforcement learning
Duración:00:05:43
24 reinforcement learning applications of reinforcement learning
Duración:00:04:15
25 generative ai
Duración:00:06:17
26 generative ai generative ai algorithms
Duración:00:04:19
27 large language models (llms)
Duración:00:05:03
28 large language models (llms) popular llms
Duración:00:04:48
29 large language models (llms) applications of llms
Duración:00:05:06
30 openai
Duración:00:04:40
31 openai popular openai products
Duración:00:03:30
32 openai chatgpt
Duración:00:05:00
33 openai openai models
Duración:00:04:27
34 llama 2 meta ai
Duración:00:04:04
35 llama 2 meta ai popular meta ai products
Duración:00:04:26
36 llama 2 meta ai llama 2 meta ai models
Duración:00:03:16
37 hugging face ai community
Duración:00:03:17
38 hugging face ai community popular hugging face ai products
Duración:00:04:40
39 hugging face ai community hugging face ai popular models
Duración:00:05:13
40 langchain framework
Duración:00:02:33
41 langchain framework langchain framework features
Duración:00:06:07
42 langchain framework langchain use cases
Duración:00:04:59
43 Appendix
Duración:00:03:40
44 Bibliography
Duración:00:06:31
45 Glossary
Duración:00:03:09
46 Acknowledgment
Duración:00:05:39
47 Ending Credits
Duración:00:02:09