Predictive Analytics for Time Series with InstantML For Dummies

What you will learn

This is why you should definitely read this e-book:

  1. Learn the key principles of predictive analytics on time-series data from the business perspective,
  2. Get a good understanding of predictive analytics on time-series data from the data science perspective,
  3. Learn how to automate forecasting and anomaly detection,
  4. Discover how the InstantML technology behind TIM democratizes machine learning,
  5. Get to know the revolutionary Tangent Information Modeler, or TIM. TIM enables you to build predictive models... in seconds!

Who should read this book

This book is written primarily for nontechnical readers who don’t necessarily know a lot about the underlying technologies such as machine learning (ML) and artificial intelligence (AI).
 
  • You work with lots of data and need to derive business value from that data.
  • You’re a business user who wants to learn how to implement predictive analytics, or you’re a data scientist (or citizen data scientist) who wants to understand the value of augmented predictive analytics.
  • You work in an IT department and need to learn more about how to extend your existing solutions with predictive analytics.
Time-series data is everywhere. In industries from retail to finance and manufacturing to energy, companies try to use time-series data to deliver business value. But unfortunately, many machine learning projects never get past the experimentation stage as data scientists toil over handcrafted model building, testing, and tuning for days or weeks — far too long for businesses to leverage the information for real-time decisions.
In this book, you learn about the opportunities and challenges of predictive analytics in time-series data, and how Tangent Works can help.

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About Tangent Works

Tangent Works was founded in 2014 by a team of data scientists and mathematicians who believed in the power of predictive modeling for optimizing operations and reducing costs, but found that the existing methods were far too complex for broad adoption. That why they developed the Tangent Information Modeler TIM.

TIM’s mission is to de-mystify predictive modeling and anomaly detection and make them accessible and productive for a broad range of users and use cases.

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