Introduction of Artificial Intelligence and Machine Learning
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A Workshop to introduce Artificial Intelligence and Machine Learning for beginners. It starts with basics , terminologies and concepts for machine learning, compares with deep learning and artificial Intelligence. Highlights the ML and AI offerings like Jupyter Notebook, Azure ML , Amazon Sagemaker, Tensorflow etc.
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Introduction of Artificial Intelligence and Machine Learning
- 1. Workshop: Introducing Artificial Intelligence and Machine Learning Everyone www.BigDataTrunk.com We will be starting soon
- 2. Agenda Introductions01 AI and ML Concepts02 AI Options & offerings03 Hands-on and Demos04 Next Steps05
- 3. www.bigdatatrunk.com Introduction • Raju Shreewastava • 21 yrs. in Data & Analytics • Founder of Big Data Trunk Company • Passion for teaching • Presenter in several conferences
- 4. www.bigdatatrunk.com Cloud Expo Santa Clara Convention center
- 5. www.bigdatatrunk.com Author • Big Data High Availability (Pearson Publication) • Perform Data Engineering on Microsoft Azure HDInsight (Microsoft Press)
- 6. www.bigdatatrunk.com About Us – Big Data Trunk
- 7. www.bigdatatrunk.com Some of our clients
- 8. www.bigdatatrunk.com AI vs ML vs DL Concepts and Terminology
- 9. www.bigdatatrunk.com What is Machine Learning? Your thoughts, perceptions and myths
- 10. www.bigdatatrunk.com Programming vs ML 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 Input Data Model Output Computer
- 11. www.bigdatatrunk.com Supervised vs Unsupervised Learning Concepts and Terminology
- 12. www.bigdatatrunk.com Supervised Learning (Train Data - labeled ) Unsupervised Learning (No Train Data – No labels ) KIDS ALIENS
- 13. www.bigdatatrunk.com Main Machine Learning Techniques 13 Classification Clustering Regression
- 17. www.bigdatatrunk.com Unhappy Customer vs Happy Customer Customer Engagement Predictive Analytics
- 19. www.bigdatatrunk.com Quiz 1 (CCR concept) 1) Which of the CCR technique is Unsupervised a) Clustering (b) Regression (c) classification 2) Which technique would take images and predict age of person a) Clustering (b) Regression (c) classification
- 20. www.bigdatatrunk.com Machine Learning Offerings 20 Amazon Machine Learning Google TensorFlow Machine Learning Microsoft Azure Machine Learning Spark Machine Learning
- 22. www.bigdatatrunk.com Tools Setup • Install Anaconda (Python version 3.x) https://www.anaconda.com/distribution/ • Open Anaconda Navigator and launch Jupyter Navigator
- 24. www.bigdatatrunk.com The Data Science Process 1. Define Problem Statement 2. Ingest Data 3. Analyze Data 4. Prepare Data for ML 5. Evaluate Models 6. Refine model 7. Ship it (DIAPERS)
- 26. www.bigdatatrunk.com Python Libraries for Data Analysis
- 42. www.bigdatatrunk.com Supervised Learning Unsupervised Learning K-Means Clustering K-Nearest Neighbor Naive Bayes Decision Tree Random Forest Super Vector Machine ML Algorithms Linear Regression Classification & Regression Clustering
- 44. www.bigdatatrunk.com Linear regression was developed in the field of statistics and worked as a model for understanding the relationship between input and output numerical variables. y = mx + c Linear Regression
- 48. www.bigdatatrunk.comSource : https://en. wikipedia.org/wiki/Decision_tree_learning
- 52. www.bigdatatrunk.com • Scikit-learn is machine learning library for the Python programming language What is Scikit-learn? • Scikit-learn has various features like: • Various Algorithms • Sample Data like Iris, Titanic • Several optimizations • Etc.
- 53. www.bigdatatrunk.com Concept of Scikit-learn .FIT .PREDICT .TRANSFORM/LABEL Supervised Learning Unsupervised Learning Creation of Model
- 58. www.bigdatatrunk.com Machine Learning is a type of AI
- 59. 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)
- 61. www.bigdatatrunk.com 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
- 62. www.bigdatatrunk.com AI Offerings 62 Amazon SageMaker Google AI Hub & TensorFlow Microsoft Cortana & Azure Bot IBM Watson
- 64. www.bigdatatrunk.com Main advantages of Artificial Intelligence over Natural Intelligence are: • Incredible speed • Continuous operation • Less biased • Accuracy
- 65. www.bigdatatrunk.com Main advantages of Natural Intelligence over Artificial Intelligence are: • Generalizing knowledge • Multi-tasking • Differentiating subtleties of context • Complex movements
- 68. Summary Supervised vs Unsupervised01 CCR & DIAPERS Model02 AI vs ML vs DL03 AI and ML Offerings04 Next Steps05
- 69. www.bigdatatrunk.com Next steps • Make a custom plan for yourself to continue this journey • Improve some of your skills ( math, stats, Python, ML, domain, etc.) • Take some additional courses • Work on some www.Kaggle.com competitions • Decide and Work on Pet Project (ideas within company or personal)
- 70. www.bigdatatrunk.com Thank you Visit Website www.BigDataTrunk.com For any questions you can reach us at Phone 510 -894-9922 Email training@bigdatatrunk.com Raju Shreewastava