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AI and ML for Everyone

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A session on Artificial Intelligence and Machine Learning for anyone and everyone.

Demystify the world of Artifical Intelligence and Machine Learning in a simple and fun way so that everyone can understand and use Machine learning.

Published in: Data & Analytics
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AI and ML for Everyone

  1. 1. Artificial Intelligence and Machine Learning Introduction for Anyone and Everyone www.BigDataTrunk.com We will be starting soon
  2. 2. Agenda 1. Introductions 2. Machine Learning Concepts 3. ML vs DL vs AI 4. ML and AI Offerings 5. AI Use cases www.bigdatatrunk.com2
  3. 3. Big Data Trunk 3 www.bigdatatrunk.com
  4. 4. Introduction – Big Data Trunk 4 www.bigdatatrunk.com Raju Shreewastava • 21 yrs. in Data & Analytics • Founder of Big Data Trunk • Passion for teaching & Sharing • Presented in several conferences
  5. 5. www.bigdatatrunk.com Cloud Expo Santa Clara Convention center
  6. 6. www.bigdatatrunk.com Author • Big Data High Availability (Pearson Publication) • Perform Data Engineering on Microsoft Azure HDInsight (Microsoft Press)
  7. 7. Your turn • Working in • Software? • Data? • Big Data? • ML? • AI? 7 www.bigdatatrunk.com
  8. 8. www.bigdatatrunk.com When did Artificial Intelligence start?
  9. 9. www.bigdatatrunk.com 1950 – Turing test
  10. 10. www.bigdatatrunk.com History of AI • 1950 – Turing Test • 1951 – First Neural Network • 1967 – “Nearest Neighbor” Algorithm is written • 1974 – First AI winter • 1979 – Stanford Cart • 1996 – IBM Deep Blue beats Garry Kasparov Source https://www.bbc.com/timelines/zypd97h • 2006 - Geoffrey Hinton coins the term “deep learning” • 2014 – Facebook develops DeepFace & Google Buys DeepMind • 2015 – Amazon, Google & Microsoft ML offerings • 2016 – AlphaGo beats Lee Sedol • 2030 – Singularity?
  11. 11. www.bigdatatrunk.com 2045 – Singularity?
  12. 12. AI is already happening 12 www.bigdatatrunk.com
  13. 13. Artificial Intelligence v/s Machine Learning v/s Deep Learning Concepts and Terminology 13 www.bigdatatrunk.com
  14. 14. What is Machine Learning? Concepts and Terminology 14 www.bigdatatrunk.com
  15. 15. Programming v/s Machine Learning 15 www.bigdatatrunk.com X= 1 , 2 , 3 , 4 1 , 4 , 9 , 16 Square (X) X= 1 , 2 , 3 , 4 1 , 8 , 27, 64 Y=Cube (X) 5 125 Computer Input Data Program Output Output Computer Input Data
  16. 16. www.bigdatatrunk.com Supervised vs Unsupervised Learning Concepts and Terminology
  17. 17. www.bigdatatrunk.com Supervised Learning (Train Data - labeled ) Unsupervised Learning (No Train Data – No labels ) KIDS ALIENS
  18. 18. Supervised Learning 18 www.bigdatatrunk.com Diameter, Thickness à Features Currency à Label Diameter Thickness Currency 1.0430 inches 0.0790 inches US dollar coin 1.0433 inches 0.07680 inches Canadian dollar coin (Loonie) 0.9154 inches 0.09173 inches One Euro coin • Supervised learning uses labeled data to train the model • Forecast an outcome
  19. 19. Unsupervised Learning 19 www.bigdatatrunk.com Hitters Pitchers Hits Number of Innings • Unsupervised learning is where there is no labeled data, model creates clusters/groupings • Discover underlying patterns and capture useful insights • Used in recommendation systems, anomaly detection
  20. 20. www.bigdatatrunk.com Main Machine Learning Techniques 20 Classification Clustering Regression
  21. 21. Classification – Supervised Learning 21 www.bigdatatrunk.com Weight = = heavy? High Mileage Horsepower < 80 High MileageLow Mileage yes yes no no • Classification is about predicting a label or a class • Classify emails as Spam or Not Spam
  22. 22. www.bigdatatrunk.com22 Clustering – Unsupervised Learning
  23. 23. www.bigdatatrunk.com Child’s Weight Prediction 23 Regression – Supervised Learning
  24. 24. www.bigdatatrunk.com Unhappy Customer vs Happy Customer Customer Engagement Predictive Analytics
  25. 25. www.bigdatatrunk.comSource Microsoft
  26. 26. www.bigdatatrunk.com Terminology & Concepts
  27. 27. Algorithms 35 www.bigdatatrunk.com
  28. 28. Popular Algorithms in Machine Learning 36 www.bigdatatrunk.com Supervised Linear Regression Random Forest Logistic Regression Super Vector Machine (SVM) K Nearest Neighbors (KNN) Decision Trees Unsupervised K-Means C-Means Apriori Reinforcement Q-Learning
  29. 29. www.bigdatatrunk.com The Data Science Process (DIAPERS) Define Problem Ingest Data Analyze Data Prepare Data Evaluate Models Refine Model Ship It What data should I use? Is it labeled? Is data complete, clean, does it have coverage? Which algorithms should you use? What level of performance is acceptable? Deploy the Model and make predictions What are we trying to achieve? Is it labeled?
  30. 30. Machine Learning Offerings 38 www.bigdatatrunk.com
  31. 31. www.bigdatatrunk.com Machine Learning Offerings 39 Amazon Machine Learning Google TensorFlow Machine Learning Microsoft Azure Machine Learning Spark Machine Learning
  32. 32. www.bigdatatrunk.com Machine Learning Using
  33. 33. AI/ML/DL 41 www.bigdatatrunk.com
  34. 34. AI v/s ML v/s DL 42 www.bigdatatrunk.com Artificial Intelligence Machine Learning Deep Learning
  35. 35. Machine Learning v/s Deep Learning www.bigdatatrunk.com 43
  36. 36. www.bigdatatrunk.com AI vs ML vs DL AI ML DL 1950 1980 2006 Driverless car, Alexa Recommendation, Fraud detection, Image recognition Color B/W picture, add sound to video Uses ML,DL and repositories of data Works with all sizes of data but needs feature engineering Needs large datasets & compute capability and takes long time to learn Linear Regression, Decision Regression, K – means Clustering CNN, ANN (TensorFlow and Keras)
  37. 37. www.bigdatatrunk.com Artificial Intelligence www.bigdatatrunk.com 45
  38. 38. Artificial Intelligence - Types 46 www.bigdatatrunk.com Artificial Narrow Intelligence Artificial General Intelligence • AI that is good at one specified task which they are trained on • Examples – predicting home prices based on historical data, categorize email as SPAM • Lot of buzz about the progress in AI, but this is only in ANI (Artificial Narrow Intelligence) • Ultimate goal – make the computer smart or smarter than the humans • AI that can perform intelligent tasks as humans • Raises fears about job loses, “terminator” like scenarios • Still far from reaching the goal of Artificial General Intelligence (AGI)
  39. 39. World of Artificial Intelligence 47 www.bigdatatrunk.com
  40. 40. AI is machines with senses Eye = Computer Vision Search & other applications Web Search Image Search Video Search News Search Language & Speech Data is the new oil. Memory and Knowledge
  41. 41. www.bigdatatrunk.com AI Offerings 49 Amazon SageMaker Google AI Hub & TensorFlow Microsoft Cortana & Azure Bot IBM Watson
  42. 42. Industry Use Cases 50 www.bigdatatrunk.com
  43. 43. Customer Interaction 51 www.bigdatatrunk.com • Gartner group predicts that by 2020 over 80% of all customer interactions will be handled by Artificial Intelligence • Chatbot site examples – written and voice Source: https://apiumhub.com/tech-blog-barcelona/artificial-intelligence-ecommerce/
  44. 44. E-Commerce Usage 52 www.bigdatatrunk.com • Companies like Alibaba, Amazon, eBay, etc. are using AI for detection of fake reviews, chatbots, product recommendations, managing big data, etc.
  45. 45. Warehouse: Amazon 53 www.bigdatatrunk.com Reference https://www.youtube.com/watch?v=HSA5Bq-1fU4
  46. 46. Health Care – Virtual Dr. Molly 54 www.bigdatatrunk.com Reference https://www.youtube.com/watch?v=AU1nGpOmZpQ
  47. 47. Health Care 55 www.bigdatatrunk.com Reference https://ai.googleblog.com/2018/02/assessing-cardiovascular-risk-factors.html
  48. 48. Ride Share – Uber and Lyft 56 www.bigdatatrunk.com • Machine Learning • Supply & Demand • Route Optimization • Rush Hour Pool • Uber Eats
  49. 49. 57 www.bigdatatrunk.com
  50. 50. AI By Industry Sectors 58 www.bigdatatrunk.com
  51. 51. AI and Ethics 59 www.bigdatatrunk.com
  52. 52. www.bigdatatrunk.com
  53. 53. www.bigdatatrunk.com
  54. 54. Summary Supervised vs Unsupervised01 CCR & DIAPERS Model02 AI vs ML vs DL03 AI and ML Offerings04 Bright Future05
  55. 55. www.bigdatatrunk.com Demo Time
  56. 56. www.bigdatatrunk.com g.co/aiexperiments
  57. 57. Thank You www.BigDataTrunk.com For any questions you can reach us at Phone– 510 -894-9922 Email training@bigdatatrunk.com 65 www.bigdatatrunk.com

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