Building Machine Learning Powered Applications
Going from Idea to Product
Ranked #7 in Computer Vision, Ranked #8 in Natural Language Processing — see more rankings.
Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, best practices, and challenges involved in building a real-world ML application step-by-step.
Author Emmanuel Ameisen, who worked as a data scientist at Zipcar and led Insight Data Science's AI program, demonstrates key ML concepts with code snippets,... more
Author Emmanuel Ameisen, who worked as a data scientist at Zipcar and led Insight Data Science's AI program, demonstrates key ML concepts with code snippets,... more
Rankings by Category
Building Machine Learning Powered Applications is ranked in the following categories:
- #93 in Algorithms
- #83 in Big Data
- #11 in Data Mining
- #52 in Databases
- #51 in Deep Learning
- #96 in Machine Learning
- #20 in Neural Networks
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