What are some of the best machine learning courses?

The Machine Learning Certification by Stanford University (Coursera) is the single highest-rated course on Machine Learning on the entire internet. Created by Andrew Ng, Co-Founder of Coursera and Professor at Stanford University, the program has been taken up by more than 1,678,000 students & professionals globally, who have given it an average rating of a whopping 4.9 out of 5.

What is MSc in machine learning?

Machine learning is regarded as an application of artificial intelligence (AI) which provides a system with an ability to learn automatically and improve from experience without any programming. Machine learning usually talks about the development of computer programs to access data and later use it to learn for themselves. The entire process of learning starts with observations of data, which include examples, instruction, direct experience so that data patterns can be figured out and better decisions can be taken in the future based on the samples provided. The main aim is to allow the systems to learn automatically without any human intervention or guidance and adjust the actions accordingly.

How much do machine learning jobs pay?

The average pay for a Machine Learning Engineer is approximately $40.45 per hour. The average salary for a Machine Learning Engineer is roughly $111,448 per year.

Where are the best job prospects for a student of machine learning?

Some of the best job prospects for a student of machine learning include Machine Learning Engineer, Data Architect, Data Scientist, Data Mining Specialists, Cloud Architects, and Cyber Security Analysts.

What does a machine learning engineer do?

Machine learning experts make use of existing algorithms and other statistical methods to figure out how one set of data is going to look. Algorithms are also used to classify existing big data sets (classification). An expert in machine learning picks what algorithm is to be used for a task. Feature engineering is another essential part of the job. The raw data that is used cannot be directly fed to the algorithms. It is required to analyze the data, preprocess it, and also make dimensionality reduction before it is being fed to the algorithms.

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A Guide to MS in Machine Learning

Learn all about an MS in Machine Learning at tops schools for a great career. Discover the best schools, courses, prerequisites, skills, job prospects and pay.