Real world machine learning : video edition / Henrik Brink, Joseph W. Richards, Mark Fetherolf.
"Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. It will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By w...
Saved in:
| Online Access: |
Streaming Video (via O'Reilly/Safari) |
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| Main Authors: | , , |
| Format: | Electronic Video |
| Language: | English |
| Published: |
[Place of publication not identified] :
Manning Publications,
2016.
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| Subjects: |
| Summary: | "Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. It will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems. Machine learning systems help you find valuable insights and patterns in data, which you'd never recognize with traditional methods. In the real world, ML techniques give you a way to identify trends, forecast behavior, and make fact-based recommendations. It's a hot and growing field, and up-to-speed ML developers are in demand."--Resource description page |
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| Item Description: | Title from resource description page (Safari, viewed January 18, 2019). |
| Physical Description: | 1 online resource (1 streaming video file (7 hr., 2 min., 5 sec.)) |
| ISBN: | 9781617291920 1617291927 |