Machine Learning Bookcamp you own this product

Build a portfolio of real-life projects
Alexey Grigorev
  • October 2021
  • ISBN
  • 472 pages
  • printed in black & white
  • Available translations: Russian, Simplified Chinese

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Look inside
Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application.

In Machine Learning Bookcamp you will:

  • Collect and clean data for training models
  • Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow
  • Apply ML to complex datasets with images
  • Deploy ML models to a production-ready environment

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.

about the technology

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!

about the book

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!

what's inside

  • Collect and clean data for training models
  • Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow
  • Deploy ML models to a production-ready environment

about the reader

Python programming skills assumed. No previous machine learning knowledge is required.

about the author

Alexey Grigorev is a principal data scientist at OLX Group. He runs DataTalks.Club, a community of people who love data.

The best hands-on guide to begin your machine learning journey.

Gustavo Filipe Ramos Gomes, Troido

Great theory, real-life examples, and just the right amount of code. An absolute feast for a beginner who wants to enter the realm of machine learning.

Krishna Chaitanya Anipindi, Hexagon

A practical guide for anyone aspiring to be a data scientist.

Amaresh Rajasekharan, IBM Corporation

Exactly the practice I needed to be comfortable with machine learning.

Nathan D'Elboux, Isparex

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only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Machine Learning Bookcamp ebook for free

choose your plan

team

monthly
annual
$49.99
$499.99
only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Machine Learning Bookcamp ebook for free

choose your plan

team

monthly
annual
$49.99
$499.99
only $41.67 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Machine Learning Bookcamp ebook for free