Machine Learning : about, courses, jobs, Carrier
About

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Machine Learning Certification by Stanford University (Coursera)
Deep Learning Certification by deeplearning.ai (Coursera)
Machine Learning Nanodegree Program (Udacity)
Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy)
Machine Learning Data Science Course from Harvard University (edX)
About

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Machine Learning is undeniably one of the most influential and powerful technologies in today’s world. More importantly, we are far from seeing its full potential. There’s no doubt, it will continue to be making headlines for the foreseeable future. This article is designed as an introduction to the Machine Learning concepts, covering all the fundamental ideas without being too high level.
Machine learning is a tool for turning information into knowledge. In the past 50 years, there has been an explosion of data. This mass of data is useless unless we analyse it and find the patterns hidden within. Machine learning techniques are used to automatically find the valuable underlying patterns within complex data that we would otherwise struggle to discover. The hidden patterns and knowledge about a problem can be used to predict future events and perform all kinds of complex decision making .
Data Collection: Collect the data that the algorithm will learn from.
Data Preparation: Format and engineer the data into the optimal format, extracting important features and performing dimensionaility reduction.
Training: Also known as the fitting stage, this is where the Machine Learning algorithm actually learns by showing it the data that has been collected and prepared.
Tuning: Fine tune the model to maximise it’s performance.
Courses for Machine Learning
Deep Learning Certification by deeplearning.ai (Coursera)
Machine Learning Nanodegree Program (Udacity)
Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy)
Machine Learning Data Science Course from Harvard University (edX)
Best Jobs after Machine Learning
- Machine learning engineer - $142,904. Example job posting: Machine learning engineer, recommendations for Pinterest.
- Data scientist - $141,807. Example job posting:
- Data scientist for Indeed
- Research scientist - $137,713. ...
- R&D engineer. ...
- Business intelligence developer - $136,486. ...
- Computer vision engineer - $136,152

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