How Long to Read Real-World Machine Learning

How Long Does it Take to Read Real-World Machine Learning?

It takes the average reader 6 hours and 20 minutes to read Real-World Machine Learning by Henrik Brink

Assuming a reading speed of 250 words per minute. Learn more

Description

Summary Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology 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. About the Book Real-World Machine Learning 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. What's Inside Predicting future behavior Performance evaluation and optimization Analyzing sentiment and making recommendations About the Reader No prior machine learning experience assumed. Readers should know Python. About the Authors Henrik Brink, Joseph Richards and Mark Fetherolf are experienced data scientists engaged in the daily practice of machine learning. Table of Contents PART 1: THE MACHINE-LEARNING WORKFLOW What is machine learning? Real-world data Modeling and prediction Model evaluation and optimization Basic feature engineering PART 2: PRACTICAL APPLICATION Example: NYC taxi data Advanced feature engineering Advanced NLP example: movie review sentiment Scaling machine-learning workflows Example: digital display advertising

How long is Real-World Machine Learning?

Real-World Machine Learning by Henrik Brink is 380 pages long, and a total of 95,000 words.

This makes it 128% the length of the average book. It also has 116% more words than the average book.

How Long Does it Take to Read Real-World Machine Learning Aloud?

The average oral reading speed is 183 words per minute. This means it takes 8 hours and 39 minutes to read Real-World Machine Learning aloud.

What Reading Level is Real-World Machine Learning?

Real-World Machine Learning is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Real-World Machine Learning?

Real-World Machine Learning by Henrik Brink is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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