“Machine Learning: Theory, Algorithm, and Applications” offers a comprehensive exploration of machine learning fundamentals, algorithms, and their applications. Starting with an introduction to learning concepts and the history of machine learning, it delves into the types and processes of machine learning. The book elaborates on the three core components: data, models, and loss functions. It categorizes various algorithms, including regression, supervised, unsupervised, and reinforcement learning techniques. Additionally, it provides in-depth coverage of neural networks, from perceptrons to advanced models like CNNs, RNNs, and GANs, making it a valuable resource for both beginners and advanced learners in the field.
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Machine Learning: Theory, Algorithm, and Applications
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| Author Name | Dr. Beenu Mago |
|---|---|
| Book Format | e-Book |
| Categories | Computers & Internet |
| ISBN | 978-81-971073-0-6 |
| Language | English |
| Pages | 321 |
| Published Date | 14 Aug. 2024 |
| Size | B5 |
| Publisher | Horizon Books |
Indian rupee (₹) - INR
| Author Name | Dr. Beenu Mago |
|---|---|
| Book Format | e-Book |
| Categories | Computers & Internet |
| ISBN | |
| Language | English |
| Pages | 321 |
| Published Date | 14 Aug. 2024 |
| Size | B5 |
| Publisher |
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