AI Fundamentals

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

What's the truth behind all the AI hype? What's the truth behind the hype surrounding Machine Learning, Deep Learning, and Predictive Analytics. What are the limitations of machine learning? Machine Learning can be used for recognition of written numbers, prediction of customer turnover, and structure in Elon Musk's tweets. All of these topics will be covered in this course. This course will introduce you to AI in a gentle, but very practical manner.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Learn the fundamentals of AI. No programming experience required!

Understand the definition of AI ( “general” and “narrow”), the relationship between AI and Machine Learning

Learn about supervised learning, work with labeled data and train regression models

Learn about unsupervised learning, divide data into clusters, detect anomalies and select the right model for the job

Learn about deep learning, create your first neural networks, and train a model to recognize digits

Course Content

Expand all sections

Module 1: Introduction to AI

Module 2: Supervised Learning

Module 3: Unsupervised Learning

Module 4: Deep Learning Beyond

Course Instructors

Nemanja RadojkoviÃ„â€¡

Senior Data Scientist @ Dataroots

Nemanja's areas of expertise include Machine Learning, Text Mining and Computer Vision. He is currently a Senior Data Scientist at Dataroots, where he helps businesses to harvest the power of their d...

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