Machine learning
Et Tu Code
Dive into the fascinating realm of artificial intelligence with 'Machine Learning: Demystifying the World of Intelligent Systems'. This comprehensive guide offers a clear and concise journey through the intricate landscape of machine learning. From its historical roots in the 1950s to cutting-edge advancements, the book covers everything from fundamental concepts to advanced techniques.
Explore the core pillars of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning. Understand how machines learn from labeled and unlabeled data, model complex relationships, and make decisions to maximize rewards.
Discover the critical role of feature engineering and evaluation metrics in crafting high-performing models. Learn about the ethical considerations surrounding AI technologies and their real-world applications across diverse industries, from healthcare to finance.
Whether you're a novice eager to grasp the basics or a seasoned practitioner seeking to stay abreast of recent advances, this book equips you with the knowledge and tools essential to navigate the ever-evolving landscape of machine learning. With insights into popular algorithms, tools, and libraries, as well as discussions on recent trends like transfer learning and generative models, 'Machine Learning' is your indispensable companion in unraveling the mysteries of intelligent systems.
Duration - 3h 56m.
Author - Et Tu Code.
Narrator - Helen Green.
Published Date - Wednesday, 03 January 2024.
Copyright - © 2023 Et Tu Code ©.
Location:
United States
Description:
Dive into the fascinating realm of artificial intelligence with 'Machine Learning: Demystifying the World of Intelligent Systems'. This comprehensive guide offers a clear and concise journey through the intricate landscape of machine learning. From its historical roots in the 1950s to cutting-edge advancements, the book covers everything from fundamental concepts to advanced techniques. Explore the core pillars of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning. Understand how machines learn from labeled and unlabeled data, model complex relationships, and make decisions to maximize rewards. Discover the critical role of feature engineering and evaluation metrics in crafting high-performing models. Learn about the ethical considerations surrounding AI technologies and their real-world applications across diverse industries, from healthcare to finance. Whether you're a novice eager to grasp the basics or a seasoned practitioner seeking to stay abreast of recent advances, this book equips you with the knowledge and tools essential to navigate the ever-evolving landscape of machine learning. With insights into popular algorithms, tools, and libraries, as well as discussions on recent trends like transfer learning and generative models, 'Machine Learning' is your indispensable companion in unraveling the mysteries of intelligent systems. Duration - 3h 56m. Author - Et Tu Code. Narrator - Helen Green. Published Date - Wednesday, 03 January 2024. Copyright - © 2023 Et Tu Code ©.
Language:
English
Opening Credits
Duración:00:01:33
2 Preface
Duración:00:02:23
3 Introduction to machine learning
Duración:00:05:57
4 History of machine learning
Duración:00:06:48
5 History of machine learning early concepts and foundations
Duración:00:06:16
6 History of machine learning the emergence of artificial intelligence
Duración:00:05:24
7 History of machine learning statistical approaches
Duración:00:05:14
8 History of machine learning connectionism and neural networks
Duración:00:05:19
9 History of machine learning machine learning boom in the 20th century
Duración:00:04:25
9 History of machine learning machine learning boom in the 20th century
Duración:00:04:25
10 History of machine learning rise of big data and computational power
Duración:00:06:07
10 History of machine learning rise of big data and computational power
Duración:00:06:07
11 History of machine learning deep learning revolution
Duración:00:04:40
11 History of machine learning deep learning revolution
Duración:00:04:40
12 Supervised learning
Duración:00:05:00
12 Supervised learning
Duración:00:05:00
13 Unsupervised learning
Duración:00:05:09
13 Unsupervised learning
Duración:00:05:09
14 Deep learning
Duración:00:05:00
14 Deep learning
Duración:00:05:00
15 Feature engineering
Duración:00:05:24
15 Feature engineering
Duración:00:05:24
16 Evaluation metrics
Duración:00:04:05
16 Evaluation metrics
Duración:00:04:05
17 Model deployment
Duración:00:04:02
17 Model deployment
Duración:00:04:02
18 Reinforcement learning
Duración:00:05:19
18 Reinforcement learning
Duración:00:05:19
19 Popular machine learning algorithms
Duración:00:04:52
19 Popular machine learning algorithms
Duración:00:04:52
20 Popular machine learning algorithms linear regression
Duración:00:05:23
20 Popular machine learning algorithms linear regression
Duración:00:05:23
21 Popular machine learning algorithms logistic regression
Duración:00:05:39
21 Popular machine learning algorithms logistic regression
Duración:00:05:39
22 Popular machine learning algorithms decision trees
Duración:00:04:33
22 Popular machine learning algorithms decision trees
Duración:00:04:33
23 Popular machine learning algorithms random forest
Duración:00:07:05
23 Popular machine learning algorithms random forest
Duración:00:07:05
24 Popular machine learning algorithms support vector machines (svm)
Duración:00:04:05
24 Popular machine learning algorithms support vector machines (svm)
Duración:00:04:05
25 Popular machine learning algorithms k nearest neighbors (knn)
Duración:00:05:54
25 Popular machine learning algorithms k nearest neighbors (knn)
Duración:00:05:54
26 Popular machine learning algorithms k means clustering
Duración:00:05:07
26 Popular machine learning algorithms k means clustering
Duración:00:05:07
27 Popular machine learning algorithms neural networks
Duración:00:04:36
27 Popular machine learning algorithms neural networks
Duración:00:04:36
28 Popular machine learning algorithms gradient boosting
Duración:00:05:43
28 Popular machine learning algorithms gradient boosting
Duración:00:05:43
29 Popular machine learning algorithms principal component analysis (pca)
Duración:00:05:56
29 Popular machine learning algorithms principal component analysis (pca)
Duración:00:05:56
30 Popular machine learning algorithms recurrent neural networks (rnn)
Duración:00:05:25
30 Popular machine learning algorithms recurrent neural networks (rnn)
Duración:00:05:25
31 Popular machine learning algorithms natural language processing (nlp) algorithms
Duración:00:05:29
31 Popular machine learning algorithms natural language processing (nlp) algorithms
Duración:00:05:29
32 Popular tools and libraries in machine learning
Duración:00:05:15
32 Popular tools and libraries in machine learning
Duración:00:05:15
33 Popular tools and libraries in machine learning numpy
Duración:00:04:49
33 Popular tools and libraries in machine learning numpy
Duración:00:04:49
34 Popular tools and libraries in machine learning pandas
Duración:00:04:36
34 Popular tools and libraries in machine learning pandas
Duración:00:04:36
35 Popular tools and libraries in machine learning scikit learn
Duración:00:06:01
35 Popular tools and libraries in machine learning scikit learn
Duración:00:06:01
36 Popular tools and libraries in machine learning tensorflow
Duración:00:04:45
36 Popular tools and libraries in machine learning tensorflow
Duración:00:04:45
37 Popular tools and libraries in machine learning pytorch
Duración:00:03:55
37 Popular tools and libraries in machine learning pytorch
Duración:00:03:55
38 Popular tools and libraries in machine learning keras
Duración:00:05:37
38 Popular tools and libraries in machine learning keras
Duración:00:05:37
39 Popular tools and libraries in machine learning jupyter notebooks
Duración:00:04:56
39 Popular tools and libraries in machine learning jupyter notebooks
Duración:00:04:56
40 Popular tools and libraries in machine learning matplotlib and seaborn
Duración:00:04:29
40 Popular tools and libraries in machine learning matplotlib and seaborn
Duración:00:04:29
41 Popular tools and libraries in machine learning scipy
Duración:00:04:42
41 Popular tools and libraries in machine learning scipy
Duración:00:04:42
42 Popular tools and libraries in machine learning xgboost
Duración:00:04:41
42 Popular tools and libraries in machine learning xgboost
Duración:00:04:41
43 Ethical considerations in machine learning
Duración:00:03:46
43 Ethical considerations in machine learning
Duración:00:03:46
44 Machine learning in real world applications
Duración:00:04:36
44 Machine learning in real world applications
Duración:00:04:36
45 Recent advances and trends
Duración:00:05:41
45 Recent advances and trends
Duración:00:05:41
46 Glossary
Duración:00:04:27
47 Bibliography
Duración:00:04:42
Ending Credits
Duración:00:02:01