AI - Machine Learning & Deep Learning Lecture 08 PDF

AI – Machine Learning & Deep Learning Automating Business Processes By: Prof. May El Barachi Introduction to AI Changing the way we do business What is Artificial Intelligence ? “Intelligence is the capacity to “Artificial intelligence involves learn and solve problems, in...

AI – Machine Learning & Deep Learning Automating Business Processes By: Prof. May El Barachi Introduction to AI Changing the way we do business What is Artificial Intelligence ? “Intelligence is the capacity to “Artificial intelligence involves learn and solve problems, in building and understanding particular solve novel problems, intelligent entities, or agents” act rationally, and act like humans.” - Webster's dictionary Two main approaches to AI: Engineering Vs. Cognitive modelling 3  4 Digging Deeper What is involved in intelligence ? Interacting with the real world Reasoning and planning Learning and adaptation Perceive, understand, act Modelling the external world Continuous learning and adaptation Speech recognition Solving new problems Internal models being continuously Image understanding Planning and making decisions updated (e.g. a baby learning to Ability to take action Dealing with unexpected categorize & recognize animals) problems, uncertainties AI Sub-fields Artificial Intelligence FIELDS Machine Learning: Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and Comfort for 24/7 improve from experience without being explicitly Machine Learning wearability Natural Language programmed. Machine learning focuses on the development of Processing computer programs that can access data and use it learn for themselves. Natural language processing (NLP): Is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyse large amounts of natural language data. Artificial Computer vision: Intelligence Sub- Is an interdisciplinary scientific field that deals with how Fields NEXT > computers can be made to gain high-level understanding from Computer Vision digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. 5 Some of AI Application Areas 6 Why is AI Important? Key Benefits of AI 8 AI-powered solutions can help companies gain a competitive advantage by creating better products and services tailored to their customers. AI powered systems can reduce risk of failures or downtime, reduce costs thanks to predictive maintenance, increase operational efficiency, improve safety and compliance, instantly process data, and to get a better understanding of their customers. BU S INESS T I ME & C OSTS BU S I NE S S E RROR RE D UCTION & A U TOMATION S A VING I NS I G H T S BO OST PRO DUCTIVITY E NHANCED C U STOMER G A I NI NG C O M PE T I TI VE E X PERIENCE A D V A NT A GE Machine Learning & Deep Learning AI Vs. Machine Learning Vs. Deep Learning 10 11 12 How do machines learn? 13 How do machines learn? 14 How do machines learn? 15 How do machines learn? 16 How do machines learn? 17 Teaching a chicken using reinforcement learning !! 18 Classical Machine Learning 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 Neural Networks & Deep Learning 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 Neural Network In action