Intro to Machine Learning & AI
- 1. Mostafa Elsheikh AIET - Computer Engineering October, 2017 Supervised by Dr. Walid M. Saad Intro to Machine Learning & AI
- 2. AI Evolution History of AI Neural Networks and Deep Learning Simple Neural Network and Deep Neural Network Difference between AI, Machine Learning, and Deep Learning What is Machine Learning? Definition Explanation Difference between Machine Learning and Standard Programs Machine Learning Models Supervised Learning Classification Regression Unsupervised Learning Clustering Overview MostafaElsheikh 2
- 3. The field of study that gives computers the ability to learn without being explicitly programmed. Is a method of teaching computers to make predictions based on some data. It is a branch of Artificial Intelligence which automatically improves programs using data. What is Machine Learning? MostafaElsheikh 3
- 4. A machine learning system could be trained on email messages to learn to distinguish between spam and non-spam messages. After learning, It can be used to classify new email messages into spam and non-spam folders. What is Machine Learning? 4 MostafaElsheikh
- 5. In machine learning, you feed the computer the following things:- Input (experience) Output (output corresponding to inputs) And get the model/program as output. With the help of this program, you can perform some tasks. On the other hand, in a standard program, you feed the computer the following things: Input Program (how to process the input) And after that you get the output. How Machine Learning Differs From Standard Programs 5 MostafaElsheikh
- 6. Data is grouped into known categories Algorithm learns which group outcomes belong to Ex. Email spam classification Classification 6 MostafaElsheikh
- 7. Best fit analysis used to determine likely outcome Ex. House prices prediction Regression 7 MostafaElsheikh
- 8. The organization of unlabeled data into similar groups called clusters. A cluster is a collection of data items which are “similar” between them, and “dissimilar” to data items in other clusters. Unsupervised Learning - Clustering 8 MostafaElsheikh
- 9. The organization of unlabeled data into similar groups called clusters. A cluster is a collection of data items which are “similar” between them, and “dissimilar” to data items in other clusters. Ex. News clustering Unsupervised Learning - Clustering 9 MostafaElsheikh
- 10. History of AI Computers Playing Games 10 MostafaElsheikh
- 11. Mimics Human Brain Series of ML Nodes Improvement in Predictive Ability Neural Networks – Deep Learning 11 MostafaElsheikh
- 12. Mimics Human Brain Series of ML Nodes Improvement in Predictive Ability Neural Networks – Deep Learning 12 MostafaElsheikh
- 13. Mimics Human Brain Series of ML Nodes Improvement in Predictive Ability Neural Networks – Deep Learning 13 MostafaElsheikh