It takes the average reader 6 hours and 14 minutes to read Building Machine Learning Pipelines by Hannes Hapke
Assuming a reading speed of 250 words per minute. Learn more
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully...
Building Machine Learning Pipelines by Hannes Hapke is 366 pages long, and a total of 93,696 words.
This makes it 124% the length of the average book. It also has 115% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 32 minutes to read Building Machine Learning Pipelines aloud.
Building Machine Learning Pipelines 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.
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