Machine Learning Bookcamp
Build a portfolio of real-life projects
| Price | $37.49 - $48.09
|
| Rating |  |
| Author | Alexey Grigorev |
| Publisher | Manning |
| Published | 2021 |
| Pages | 472 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1617296813 |
| ISBN-13 | 9781617296819 |
The only way to learn is to practice! In Machine Learning Bookcamp, you'll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you've learned in previous chapters. You'll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
Master key machine learning concepts as you build actual projects! Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice. This book delivers all three!
Machine Learning Bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you'll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service. You'll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. Dig in, get your hands dirty, and have fun building your ML skills!
- Alexey Grigorev
5 5 14
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