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AI and Deep Learning with Python (2 Sessions)

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Practical Programming (3rd Fl)

49W 33rd St.

New York, NY 10001

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Description

This course will teach you important concepts and some of the basic skills you need to know to gain understanding of how AI and Machine Deep Learning works.

This class meets 2 times:

Aug 22nd 7.15pm - Start Date

Aug 24th 7.15pm

What this course is about:

Machine learning is so hot right now! After completing this course and the others in our Machine Learning Series, you’ll create and evaluate machine learning code. Machine learning is not a “monolithic” enterprise: there are actually many different and sometimes overlapping techniques that can allow computers to successfully learn key metrics from the data you give it. You’ll gain insight into the most import concepts and techniques of machine learning in a clear, and simple manner. You’ll be able understand and cut through the some of the heavy jargon and some of the math behind machine learning. Most importantly you’ll learn to complete hands-on machine learning projects yourself!

Who this course is for:

This course will be taught in Python. When we need to look at Python code, you will learn what it means and what it does at the same time.

As Python is a user-friendly language, you can easily learn enough Python to understand this course while you are *taking* this course, especially if you can already program comfortably in a different language.


You will learn:

  1. How Does Machine Learning Work?

  2. What Kinds of Things Can You Build With Machine Learning?

  3. Why is Machine Learning Taking Over the World

  4. Types of Machine Learning: Unsupervised vs Supervised

  5. Do You Have Big Data? Do You Need Big Data?

  6. Writing ML Code that Make Predictions

  7. Writing ML Code that Sorts Data into Categories

  8. How and Why Machine Learning Sometimes Goes Wrong

  9. Behind the Veil: The Math of Machine Learning

  10. Hands-on Testing and Validation of a Simple Machine Learning Model

Prerequisites & Preparation:

  1. Laptop
  2. Anaconda for Python 3.6 installed
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Date and Time

Location

Practical Programming (3rd Fl)

49W 33rd St.

New York, NY 10001

View Map

Refund Policy

Refunds up to 1 day before event

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