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Introduction to Machine Learning Online Course


EduCBA

Summary

Price
Save 90%
£10 inc VAT (was £99)
Offer ends 31 December 2019
Study method
Online, self-paced
Qualification
No formal qualification
Additional info
  • Certificate of completion available and is included in the price

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Overview

WHO IS EDUCBA?

We are glad you asked.

An initiative by IIT IIM Graduates, EDUCBA (Corporate Bridge Consultancy Pvt Ltd) is a leading global provider of skill based education addressing the needs 500,000+ members across 40+ Countries. Our unique step-by-step, online learning model along with amazing 5511 courses prepared by top notch professionals from the Industry help participants achieve their goals successfully. All our training programs are Job oriented skill based programs demanded by the Industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your study to suit your convenience and schedule.

Description

Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.

Machine learning is a subfield of computer science stemming from research into artificial intelligence. It has strong ties to statistics and mathematical optimization, which deliver methods, theory and application domains to the field. Machine learning is employed in a range of computing tasks where designing and programming explicit, rule-based algorithms is infeasible. Example applications include spam filtering, optical character recognition (OCR), search engines and computer vision. Machine learning is sometimes conflated with data mining,] although that focuses more on exploratory data analysis. Machine learning and pattern recognition “can be viewed as two facets of the same field.

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.

Machine learning has proven to be a fruitful area of research, spawning a number of different problems and algorithms for their solution. This algorithm vary in their goals,in the available training data, and in the learning strategies. The ability to learn must be part of any system that would claim to possess general intelligence.

What are the requirements?
Algorithms and Engineering
Passion to learn

What am I going to get from this course?
Over 5 lectures and 47 mins of content!
In this course you will learn different learning concepts such as K- nearest neighbor learning , non symbolic machine learning etc.,neural network
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition

What is the target audience?
Students
Professionals interested in biometrics, expert system and robotics industry.

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