1. A QUICK INTRODUCTION TO MACHINE LEARNING It is a field of study that gives computers the capability to learn without being explicitly programmed. TYPES OF MACHINE LEARNING ARTIFICIAL INTELLIGENCE Supervised The learning is monitored or supervised in the sense that we already know the output and the algorithm are corrected each time to optimise its results. MACHINE LEARNING Unsupervised This approach is the one where the output is unknown, and we have only the input variable at hand. The algorithm learns by itself and discovers an impressive structure in the data. Reinforcement In this approach, machine learning models are trained to make a series of decisions based on the rewards and feedback they receive for their actions. DEEP LEARNING How is ML used in AI? Source: Source: https://medium.com/tebs-lab/introduction-to-dee p-learning-a46e92cb0022 https://www.greatlearning.in/blog/what-is-machine-l earning/ CAREERS IN MACHINE LEARNING 9.8 times more Machine Learning Engineers are working today when compared to 5 years ago Source: LinkedIn’s 2017 U.S Emerging Jobs Report $ 2.5 Bn 2017 $ 12.3 Bn 2026 Global Machine Learning Market value Year Source: LinkedIn’s 2017 U.S Emerging Jobs Report GLOBAL SALARY TREND SALARY TRENDS ACROSS THE COUNTRY MUMBAI 13.3L BANGALORE 12.5L $ 142,858.57 AVERAGE SALARY OF MACHINE LEARNING ENGINEERS IN 2019 NCR 11.8L The Indeed analytics team found that the average annual salary for Machine Learning Engineers has grown by $8,409 in just a year, increasing 5.8%. Algorithm engineer’s average annual salary rose to $109,313 this year, an increase of $5,201, or 5%. PUNE 10.6L HYDERABAD 10.2L Source: https://www.forbes.com/sites/louiscolumbus/2019/06/30/ indeeds-10-most-popular-ai-machine-learning-jobs-this-y Source: Analytics India Magazine ‘Salary Study – 2018’ ear/#16e5016d547d INDUSTRIES THAT USE ML Healthcare Defence Financial services Marketing Security services CRITICAL SKILLS FOR ML ENGINEERS Python/C++/R/Java Probability & Statistics Data Modeling & Evaluation Machine Learning Algorithms Distributed Computing Advanced Signal Processing Techniques REAL CASES WHERE ML IS USED Image recognition or Facial recognition The biggest and most widely used example of this would be the iPhone X face recognition feature used to unlock your smartphone. Automatic Speech recognition or ASR Used to convert speech into digital text. It can be used in a number of areas such as medical assistance, home automation, etc. Personal Assistants The most common application in our day to day activities is the virtual personal assistants like Siri and Alexa. Recommendation Systems Most prominent use-cases of recommendation systems are e-commerce sites like Amazon, Flipkart, and many others, along with Spotify, Netflix, and other web-streaming channels. Source: https://www.greatlearning.in/blog/what-is-machine-learning/