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Machine Learning is a diploma level Information Technology mangement programme. Artificial intelligence is the goal of a machine learning programmer. They are computer programmers, but their focus goes beyond specifically programming machines to perform specific tasks. They create programs that will enable machines to take actions without being specifically directed to perform those tasks. An example of a system a machine learning engineer would work on is a self-driving car.
There are a number of applications for the work that machine learning engineers do. They may program services so that they can try to identify a specific person's interests or needs. From customized news feeds to tailored web searches, machine learning engineers are contributing to the daily lives of many individuals and how they use technology.
Machine Learning Course Syllabus
|
Sl No |
Subject |
|
1 |
INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING |
|
2 |
TECHNIQUES OF MACHINE LEARNING |
|
3 |
DATA PREPROCESSING |
|
4 |
MATH REFRESHER |
|
5 |
REGRESSION |
|
6 |
CLASSIFICATION |
|
7 |
UNSUPERVISED LEARNING - CLUSTERING |
|
8 |
INTRODUCTION TO DEEP LEARNING |
|
18 |
PRACTICAL |
How is Machine Learning Course Beneficial?
What is perhaps most compelling about Machine Learning is its seemingly limitless applicability. There are already so many fields being impacted by Machine Learning, including education, finance, computer science, and more. There are also virtually NO fields to which Machine Learning doesn’t apply. In some cases, Machine Learning techniques are in fact desperately needed. Healthcare is an obvious example. Machine Learning techniques are already being applied to critical arenas within the Healthcare sphere, impacting everything from care variation reduction efforts to medical scan analysis.
The world is unquestionably changing in rapid and dramatic ways, and the demand for Machine Learning engineers is going to keep increasing exponentially. The world’s challenges are complex, and they will require complex systems to solve them. Machine Learning engineers are building these systems. If this is YOUR future, then there’s no time like the present to start mastering the skills and developing the mindset you’re going to need to succeed.
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