Machine Learning
| Institution | Jomo Kenyatta University of Science and Technology |
| Course | Information Technol... |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | |
| Pages | 111 Pages |
| File Size | 3.21 MB |
| Views | 186 |
| Downloads | 0 |
| Price: |
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Description
Machine learning is a subset of artificial intelligence (AI) that focuses on developing algorithms and statistical models that enable computers to learn from and make predictions or decisions based on data. Unlike traditional programming, where explicit instructions are given, machine learning algorithms identify patterns in data and improve their performance over time as they are exposed to more information. It is widely used across various industries, including finance, healthcare, and technology, for tasks like classification, regression, and clustering, and has become a cornerstone in areas such as speech recognition, image analysis, and predictive analytics.
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Machine Learning Tutorial
Buy Machine Learning Tutorial and learn the essence of machine learning, which empowers computers to autonomously learn from historical data. The book delves into various machine learning techniques, including Supervised, Unsupervised, and Reinforcement learning, offering a comprehensive understanding of regression and classification models, clustering methods, hidden Markov models, and more. It demonstrates the wide-ranging applications of machine learning in today's technology-driven world, from image and speech recognition to email filtering and recommendation systems.
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