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Introduction To Machine Learning
- 1. Human Introduction to Machines --Thinking the Machine’s Way - Shivam Bharadwaj Have you heard people talking about machine learning but only have a fuzzy idea of what that means? Are you tired of nodding your way through conversations with co-workers? Let’s change that! July 11, 2018
- 2. Agenda ➔ What ismachine learning? ➔ How Human thinks? ➔ Why machine learning matters? ➔ Major achievements of AI/ML ➔ Notion of Artificial Intelligence ➔ How machine thinks? ➔ Machine Learning Vs Human Learning ➔ Misconception about machine learning ➔ Conclusion
- 3. Notion of ArtificialIntelligence? ➔ AI is around us from about 19th century ➔ In 1950, Alan Turing organised Turing Test and mark the beginning of AI ➔ In 1955, John McCarthy named it AI ➔ Since than, AI has become the major power in tech industry with a number of inventions Ability of computers to think and learn - John McCarthy(1955)
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- 5. What is MachineLearning? Machine Learning ? Machine + Learning
- 6. Machine Learning (ML)is an application of Artificial Intelligence (AI), that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. - Arthur Samuel Machine - Something that reduces human efforts - Mr.RanchodDas (3 Idiots) Learning - Act of acquiring or reinforcing existing knowledge, skill or values - Mr. Google What is Machine Learning? Cont..
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- 8. How Human Thinks?Cont.. Data Perceive Find Pattern Apply Learning Prediction Input Output ● 9 - 81
- 9. How Machine Thinks?Cont.. Learned ModelUnlabelled Data Output Abstract Machine Learning Approach
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- 11. Why machine learningmatters? Artificial intelligence and machine learning will shape our future more powerfully than any other innovation this century. Anyone who does not understand it will soon find themselves feeling left behind, waking up in a world full of technology that feels more and more like magic. - Sundar Pichai
- 12. Major Innovations inML/AI - ★ Conversational Agents (Google Assistant, Siri, Alexa, chabots etc) ★ Deepmind's AlphaGo (10^117 possible moves) defeated Lee Sedol ★ Evidence based treatment of cancer ★ Sophia - The Robot ★ Interest based recommendations ★ Early identification/diagnosis of diseases ★ Self Driving Cars ★ Facebook auto tags ★ Natural language processing ★ Computer Vision
- 13. Sophia - TheRobot
- 14. Machine Learning VsHuman Learning ★ Human knowledge is in brain whereas machine’s knowledge is in bits (010110010100) ★ Motivation is important in human learning ★ Human can get tired ★ Technology has its pros and cons but the outcomes of any technology depends on how you utilize it
- 16. Misconception about MachineLearning(AI) 01 Fear of jobs being killed by AI 02 Machine taking over human intelligence 03 Adverse effects of AI, major concerns about robots Alert!! - Machine is never going to compete with human brain, it can only imitate or mimic some of it’s behaviours
- 17. Conclusion ★ Learning hasbeen valued by humans for hundreds of years now, Hence this is the time to understand the value of machine learning ★ I think we can agree that 2018 is appropriately be the ‘Year Of AI’, but what do we call the year 2019 which promise to deliver even more AI ★ With ML a new tool has emerged to which is likely to make our life easier if applied in ethically responsible way ★ Since now we have covered the basic theory underlying the field of Machine Learning here
- 18. Study Material ★ Machine-learning(Coursera) ★ Machine Learning A-Z™: Hands-On Python & R In Data Science ★ Nanodegree,Machine Learning, Udacity Blogs ★ Machine-learning-theory-an-introduction ★ Machine Learning for Humans ★ Machine-learning-is-fun ★ Best Machine Learning Resources ★ Robbie Allen's Blog Tutorials (Paid) YouTube ★ Sentdex (32M Views) ★ Siraj Raval (8M) Views ★ Berkeley University (585K) Views ★ Data School (2.3M Views)
- 19. Thank you! While it’simpossible to say what the future holds, one thing is certain that 2018 is a good time to start understanding how machine thinks @its_ShivamB Questions?