Machine Learning (ML) is basically that field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do.

In simple words, Machine Learning is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method. The key focus of Machine Learning is to allow computer systems to learn from experience without being explicitly programmed or human intervention.

Machine learning algorithms build a model based on sample data, known as “training data“, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

Python is one of the most widely used languages in artificial intelligence (AI). According to the World Economic Forum’s (WEF) 2018 Future of Jobs report, an additional 133 million AI-related jobs will be created by 2022.

Who this course is for?

This course will be useful for graduates, postgraduates, and research students who either have an interest in this subject or have this subject as a part of their curriculum. This tutorial has been prepared for the students as well as professionals, to ramp up quickly. This tutorial is a stepping stone to your Machine Learning journey.

Machine Learning with Python course is ideal for IT specialists or professionals with a high level of awareness within your domain and are familiar with data, statistics, and programming. A student may either be new or have little experience in artificial intelligence.

Total number of Students in this course : 3

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