Unraveling the mathematics of machine learning and deep learning algorithms: (Record no. 9673)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02156nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250507164827.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250507b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781685866396 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.32 |
| Item number | TRI |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Tripathi, Pradeep |
| 245 ## - TITLE STATEMENT | |
| Title | Unraveling the mathematics of machine learning and deep learning algorithms: |
| Remainder of title | demystifying basic to advanced concepts & mathematics of machine learning and deep learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Notion Press |
| Place of publication, distribution, etc. | India |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 409 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 1600.00 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Artificial Intelligence (AI) has grown to be a very popular field in today’s world. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. Machine learning is a branch of artificial intelligence based on the idea that computers can learn from data, identify patterns and make decisions with minimal human intervention and gradually improve in decision making over time with more data. Deep learning is a subset of machine learning and is one of the most popular fields in artificial intelligence (AI). This book entails the machine learning and deep learning concepts, basic to advanced algorithms along with the explanation of mathematics behind each algorithm.<br/><br/>Key Features<br/><br/>· Fundamental concept of machine learning and deep learning<br/><br/>· Explanation of important terminology used in machine learning and deep learning<br/><br/>· In-depth explanation of machine learning and deep learning algorithms along with mathematics behind them<br/><br/>· Coverage of machine learning algorithms such as linear regression, logistic regression, SVM, decision tree, random forest, KNN, naïve Bayes, market basket analysis, clustering (K-Means, K-Medoids, K-Modes, and K-Prototypes), and Boosting (AdaBoost, GBM, and XGBoost)<br/><br/>· Coverage of deep learning algorithms such as ANN, RNN, LSTM, GRU, and CNN<br/><br/>(https://notionpress.com/in/read/unraveling-the-mathematics-of-machine-learning-and-deep-learning-algorithms/) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine Learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine Learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Algorithms |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IT & Decisions Sciences | TB4762 | 21-03-2025 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 03/28/2025 | Technical Bureau India Pvt. Ltd. | 1112.00 | 006.32 TRI | 008600 | 03/28/2025 | 1 | 1600.00 | 03/28/2025 | Book |