Practical Machine Learning
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Practical Machine Learning

Practical Machine Learning

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Eagle Labs

28 Chesterton Rd

Cambridge

CB4 3AZ

United Kingdom

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Start using Machine Learning today!

Get started with Machine Learning with 6 evening sessions where you'll learn how to use Machine Learning to solve real problems.

We'll walk through several common problems and use Machine Learning techniques to solve them. This will give you a clear understanding of the concepts as well as a comprehensive overview of the available tools and libraries.

We will use the popular TensorFlow and Scikit-Learn libraries. We'll also look at other major open source projects available and their specific strengths and weaknesses so you'll know exactly what to use for your next project.

Is this for you?

Are you a developer dealing with data on a daily basis? Can you and your company benefit from predicting what your customers will do? Are you interested in keeping your skills up to date and relevant? Do you face complex problems and could do with smarter software solutions?

With the wealth of available information on Machine Learning, it's sometimes hard to figure out where to start. There are so many projects and libraries available, with sometimes incomplete or missing documentation. We'll take a look at the best tools and use them to solve real problems so that you'll walk away able to face Machine Learning challenges with confidence.

What if I know some things already?

Before the course begins, we'll ask you to give us an overview of what you know already, and we'll make sure that the task you're set will stretch and challenge you without being overwhelming. If you want to discuss your particular circumstances with us, reach out to us at workshops@decacoder.com.

What you'll learn

The curriculum will include

  • An introduction to Machine Learning concepts
  • Recommending products with Support Vector Machines
  • Segmenting customers using clustering algorithms
  • Recognising images with Artificial Neural Networks
  • Sorting documents using Natural Language Processing and Classification
  • Applying Machine Learning to your application
  • BONUS: Predicting software delivery date using a Monte Carlo simulation

How does it work?

In a typical session we will start with a presentation or demonstration of a new topic, after which you'll get a chance to try things out for yourself with the help of the instructor. Before we finish the evening, we'll share the best resources available elsewhere about this topic and set project tasks for the next session.

In between sessions you'll be able to talk with each other and with the instructors online, including an online code clinic in Google Hangout once a week.

When and where?

The course will run every Monday evening for 6 weeks from 6:00-8:30pm. The first session will be on the 26th of January and the last session will be on the 2nd of March.

We recommend that you set some additional time aside to make the most of the course, but if that's not possible, we have made the sessions self contained enough to stand alone. You'll also have access to all the course material for reference after the course is over.


**SPECIAL PROMOTION**

For a limited time receive FREE personal lifetime access to DecaCoder online courses with your purchase of a workshop.

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Eagle Labs

28 Chesterton Rd

Cambridge

CB4 3AZ

United Kingdom

View Map

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