Top 5 Machine Learning Applications | Machine Learning Use Cases | #Shorts | Simplilearn

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This video on the Top 5 Machine Learning Applications covers some of the important day-to-day uses of machine learning in various business sectors. You will see the machine learning use cases in healthcare, e-commerce and other domains with this shorts video.

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What is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (well data) like humans without direct programming. When exposed to new data, these applications learn, grow, change, and develop by themselves. In other words, with Machine Learning, computers find insightful information without being told where to look. Instead, they do this by leveraging algorithms that learn from data in an iterative process. While the concept of Machine Learning(ML) has been around for a long time (think of the WWII Enigma Machine), the ability to automate the application of complex mathematical calculations to Big Data has been gaining momentum over the last several years. At a high level, Machine Learning is the ability to adapt to new data independently and through iterations. Basically, applications learn from previous computations and transactions and use “pattern recognition” to produce reliable and informed results.

About Simplilearn Machine Learning Certification Course:
Explore this Machine Learning certification course to understand cutting-edge concepts in machine learning, an exciting branch of Artificial Intelligence. This Machine Learning online training will provide you the skills needed to become a successful Machine Learning Engineer today.


Key Features of this Machine Learning Course:
✅100% Money Back Guarantee
✅Gain expertise with 25+ hands-on exercises
✅4 real-life industry projects with integrated labs
✅Dedicated mentoring sessions from industry experts

Benefits of this Machine Learning Course:
The Machine Learning market is expected to reach USD $8.81 Billion by 2022, at a growth rate of 44.1-percent, indicating the increased adoption of Machine Learning among companies. By 2020, the demand for Machine Learning engineers is expected to grow by 60-percent.

Eligibility for this Machine Learning Course:
The Machine Learning certification online course is well-suited for participants at the intermediate level including, analytics managers, business analysts, information architects, developers looking to become data scientists, and graduates seeking a career in Data Science and Machine Learning.

Pre-requisites for this Machine Learning Course:
This Machine Learning course requires an understanding of basic statistics and mathematics at the college level. Familiarity with Python programming is also beneficial. You should understand these fundamental courses including Python for Data Science, Math Refresher, and Statistics Essential for Data Science, before getting into the Machine Learning online course.

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