Primer on Supervised Learning and Unsupervised Learning Modelling for Non-Technical
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Presentation of the 'Supervised Learning and Unsupervised Learning for Non-Technical People All-India Workshop on Data Analytics and Responsible AI (Online)
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Primer on Supervised Learning and Unsupervised Learning Modelling for Non-Technical
- 1. Primer On Supervised Learning & UnSupervised Learning Puneet Arora Ecologic Corporation
- 2. About Me linkedin.com/in/puneetarora2000/ ASK Questions ON twitter.com/puneetarora2000
- 3. Topic Covered: 1) Machine Learning Vocab 2) How machines are made to Learn 3) How we check that machine has learned 4) Future of Machines & Machines ..
- 4. Newton re-discovers Apples ASK Questions ON twitter.com/puneetarora2000 Newton Computes , Regression Equation
- 5. Newton Apples ASK Questions ON twitter.com/puneetarora2000 Just a Illustratration
- 6. Newton Apples Falling Down ASK Questions ON twitter.com/puneetarora2000 Just a Illustratration
- 7. Newton Apples Falling Down ASK Questions ON twitter.com/puneetarora2000 9.80665 m/s2 (32.1740 ft/s2 ). Just a Illustr atratio n
- 8. Universal Constants ASK Questions ON twitter.com/puneetarora2000
- 9. Waves of A.I ASK Questions ON twitter.com/puneetarora2000
- 10. Types of ML Algorithms ASK Questions ON twitter.com/puneetarora2000 Types of Supervised Machine Learning Algorithm Probability How Brain Works Brain Learns & Relearns How Nature Solves How Organisms Connect How newton found ‘gravity’
- 11. Waves of A.I ASK Questions ON twitter.com/puneetarora2000 First-wave, rules-based AI enabled “reasoning over narrowly defined problems” with a reduced level of certainty, like early computer chess matches or tax prep software. rules-based AI = if , then else logic , First Order Logic = Predicate Logic + Forward Chains | Backward Chains
- 12. Reasoning over narrowly defined problems ASK Questions ON twitter.com/puneetarora2000
- 13. People Are Waiting for Break through ASK Questions ON twitter.com/puneetarora2000
- 14. Waves of A.I ASK Questions ON twitter.com/puneetarora2000 Second-wave, or machine-learning AI, is based on “training statistical models on big data,” with minimal capacity for reasoning. Supervised Input Supervised Target Learning
- 15. Waves of A.I ASK Questions ON twitter.com/puneetarora2000 Third-wave, or unsupervised-learning AI, is context-aware. Machines with third-wave AI “adapt to changing situations.” UnSupervised Input UnSupervised Target Learning
- 16. Inputs ASK Questions ON twitter.com/puneetarora2000 Images = Colour, Satellite, X-rays, Ultrasound, Thermal, Forensics Colours /Spectrum Properties Morphology / Shape of Objects Statistical Features = Mean, Mode , Median, Skewness etc ..etc Texture Feature : Surface Properties = Coarseness | Smoothness
- 17. Inputs ASK Questions ON twitter.com/puneetarora2000 Audio = Music , Birds Songs , Voice Forensics Voice/Spectrum/Wave/Frequency , FFT Morphology/Segment Size/ Shape of Frames/Segments Statistical Features = Mean, Mode , Median, Skewness etc ..etc Sound Quality :Bass,Timbre Coarseness | Smoothness Sound Quality :Bass,Timbre Coarseness | Smoothness
- 18. Inputs ASK Questions ON twitter.com/puneetarora2000 Text Documents = Office Files, Forensics Frequency of Words , Sentence length, Paragraph Length , Number of Nouns ,Sequence of Nouns ,Verb, Order of Words, Number of Stop Words ,Stem analysis
- 19. Inputs ASK Questions ON twitter.com/puneetarora2000 Tabular Data Variables X1, X2 Statistical Features , Domain specific Features Time series Data, Sensor Data
- 20. Outputs ASK Questions ON twitter.com/puneetarora2000 Images, Voice , Audio , Sound , Video, Sensor data Categorical Classification Detection Identification Recognition Recommendation Path Analysis Recognize patterns
- 23. ASK Questions ON twitter.com/puneetarora2000 Continuous Data is Converted into Categorical Data
- 26. ASK Questions ON twitter.com/puneetarora2000 Control Statement = Predicate Logic First Order Logic Still not a Algorithm
- 27. ASK Questions ON twitter.com/puneetarora2000 Control Statement = Predicate Logic First Order Logic An Algorithm
- 28. ASK Questions ON twitter.com/puneetarora2000 An Algorithm
- 29. ASK Questions ON twitter.com/puneetarora2000 An Algorithm
- 30. ASK Questions ON twitter.com/puneetarora2000 An Skeleton of Supervised ML Algorithm
- 31. ASK Questions ON twitter.com/puneetarora2000 Skeleton of Supervised ML Algorithm
- 32. ASK Questions ON twitter.com/puneetarora2000 Lets, Mimic Brain : Neural Network = 1 Unit = Neuron
- 33. ASK Questions ON twitter.com/puneetarora2000 Lets, Mimic Brain : Neural Network = 1 Unit = Neuron
- 34. ASK Questions ON twitter.com/puneetarora2000 Lets, Mimic Brain : Neural Network
- 35. ASK Questions ON twitter.com/puneetaro ra2000 Contemporary Frameworks Neural Network
- 36. ASK Questions ON twitter.com/puneetaro ra2000 Contemporary Frameworks Neural Network 'Father of the Pentium Chip'
- 37. ASK Questions ON twitter.com/puneetarora2000 Tree Based Algorithms
- 38. ASK Questions ON twitter.com/puneetarora2000 Supervised Algorithms
- 40. ASK Questions ON twitter.com/puneetarora2000 Hyperparameter Tuning Let’s say an ML algorithm has 5 parameters .,DT = 5 How many combinations of the same ML Algorithms can be made Five Factorial = 120 models
- 41. ASK Questions ON twitter.com/puneetarora2000 Skeleton of Unsupervised Learning
- 42. Learning Problems 1. Supervised Learning 2. Unsupervised Learning 3. Reinforcement Learning (feedback )
- 43. Learning Problems Reinforcement Learning (feedback )
- 44. Hybrid Learning Problems 4. Semi-Supervised Learning 5. Self-Supervised Learning 6. Multi-Instance Learning
- 45. Statistical Inference 7. Inductive Learning 8. Deductive Inference 9. Transductive Learning Learning Techniques
- 46. Learning Techniques (How algorithm should learn) 10. Multi-Task Learning 11. Active Learning 12. Online Learning 13. Transfer Learning 14. Ensemble Learning META LEARNING
- 47. Automatically build your own ML Auto-ML
- 48. Learning Problems 1. Supervised Learning 2. Unsupervised Learning 3. Reinforcement Learning
- 49. Learning Problems 1. Supervised Learning 2. Unsupervised Learning 3. Reinforcement Learning
- 51. ASK Questions ON twitter.com/puneetarora2000 Collaborative work between Humans and Robot (Cobot)
- 52. ASK Questions ON twitter.com/puneetarora2000 Super Smart Society (Society 5.0)