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About 24 2020 Machine Learning - Webinar2
The document discusses implementing machine learning and deep learning techniques using various tools. It provides an overview of machine learning techniques including supervised learning, unsupervised learning, and reinforcement learning. It also discusses common machine learning tasks and libraries for implementing machine learning models such as scikit-learn. The document provides examples of machine learning applications for computer vision, natural language processing, and social distancing detection during the COVID-19 pandemic. It concludes with discussing the structure of a deep learning project for speech recognition in the Indonesian language.
Detailed Information
| Author: | ['Meilani Safitri'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 54 |
| Language: | English |
| Format: | |
| Price: | FREE |
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