Artificial Intelligence & Data Science
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Deep Learning on Azure with Python: Introduction to Machine Learning

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Course Features

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Duration

5 weeks

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

5 hours per week

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Teaching Type

Self Paced

Course Description

This course is self-paced and will allow you to learn the essential skills required to become a machine intelligence engineer. It will also help you understand how deep learning works. Machine learning refers to the use of data by artificial intelligence systems to improve their efficiency and effectiveness. Except for the data science skills required to create machine learning models and refine them, no human input is necessary.

Machine learning provides data science insights that are immediate and detailed. This process allows you build complex and efficient systems with a wide range of applications. Machine learning algorithms are the basis of everything, from Netflix recommendations to self driving cars to medical diagnostic technology.

It is, therefore, a highly valuable market. In 2020 it was estimated at $7.3 billion. It is expected to reach $30.6 billion in 2024.

This introduction to machine-learning will teach you how to use data science to create machine learning models with Microsoft Cognitive Services on Azure Cloud Platform and Python programming.

The first steps to becoming a machine-learning engineer will be covered. Practical machine learning skills will be covered, along with hands-on Python learning in Microsoft Cognitive Services. These artificial intelligence skills will allow you to create your own machine learning models. This will form the basis for deep learning models. As you continue learning data science skills in the following courses.

Course Overview

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Alumni Network

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Applied supervised machine learning techniques

Applied unsupervised machine learning techniques

Explored, prepared and cleaned data

Modeled performance improvement

Target Students

Basic knowledge of python programming would be advantageous, as would solid maths and computer science skills

This machine learning and artificial intelligence course is designed for those who would like to learn more about deep learning

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