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Launching into Machine Learning
Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way so as to support experimentation.
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| Rating | Not enough ratings |
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| Length | 3.3 hours |
| Starts | On Demand (Start anytime) |
| Cost | $35/month (Access to entire library- free trial available) |
| From | Pluralsight |
| Download Videos | On Windows, MacOS, iOS, and Android Pluralsight app |
| Language | English |
| Subjects | IT & Networking |
| Tags | Data Professional |
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| Rating | Not enough ratings |
|---|---|
| Length | 3.3 hours |
| Starts | On Demand (Start anytime) |
| Cost | $35/month (Access to entire library- free trial available) |
| From | Pluralsight |
| Download Videos | On Windows, MacOS, iOS, and Android Pluralsight app |
| Language | English |
| Subjects | IT & Networking |
| Tags | Data Professional |
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