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Building Your First Machine Learning Solution

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Course Features

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Duration

3.58 hours

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

3 hours per week

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Teaching Type

Self Paced

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Video Content

3.58 hours

Course Description

Building Your First Machine Learning Solution is a course that aims to simplify the complex and mathematically-intensive topic of machine learning. This course covers the basics of machine learning, including its types and applications. It also delves into the different phases of machine learning and emphasizes the importance of data in creating machine learning solutions.

The course guides how to source, analyze, and pre-process data for future machine-learning steps. It teaches learners how to train and evaluate machine learning algorithms, equipping them with practical skills to implement machine learning solutions effectively.

Moreover, the course highlights the latest trends in machine learning, such as AI as a Service, which allows learners to stay up-to-date with advancements in the field. By the end of the course, learners will have a solid understanding of machine learning and be able to create a basic regression machine-learning solution.

This course is ideal for individuals interested in expanding their knowledge of machine learning and artificial intelligence. It covers supervised learning in artificial intelligence and provides valuable insights into data science and AI. Whether you are a beginner or an experienced professional, this course offers valuable techniques and knowledge for mastering machine learning.

Overall, Building Your First Machine Learning Solution is a comprehensive and practical course that equips learners with the necessary skills to excel in the field of machine learning. By providing a clear understanding of the theories behind machine learning and hands-on experience with training and evaluating algorithms, this course empowers individuals to create effective machine-learning solutions.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Feeding Your Machine Learning Pipeline

Implementing Your Regression Solution

Making Your Data Ready for the ML Model

Understanding the Overall Data Trends

Course Instructors

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Russell Elledge

Instructor

Russell Elledge is a technologist of over 20 years of software development experience, specializing in large scale service oriented architecture. He believes in helping software technologists underst...
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