Artificial intelligence part 1 beginners
- 1. BASICS ABOUT ARTIFICIAL INTELLIGENCE – PART 1
- 2. MACHINE LEARNING BASICS ANTONIO FERNANDES, M.D. NEURORADIOLOGIST, DEEP LEARNING ENTHUSIASTIC IN BRAIN AND SPINE IMAGING
- 3. Machine Learning ML is a method of data analysis that incorporates the utilization of algorithms that have the capabilities to learn from data without programming Computer science svvvv AI (a branch CS) ML (application of AI)
- 4. Machine Learning: GET SIMPLE! The world is full of data. Then use algorithms to predict and work for you. YOU CAN NOT AVOID ML Machines and computers now do not need to have every detail programmed. They can be programmed to learn by themselves and to work more efficiently. Human mind is multitasking and flexible. Computes are not yet there but each year they are capable of doing more and more complex things
- 5. Neural Networks Neural Networks can look like science fiction but they are too real. NN are a series of mathematical formulas (algorithms) mimicking human brains NN can constantly adapt to new information and changes Using NN computers constantly adapt and don’t follow always the same instruction (mimicking brains- At least some brains!!!)
- 6. Neural Networks -Brain HUMAN GAIN EXPERIENCE BY THE 5 SENSES THE BRAIN PROCESSES THE INFORMATION AND COMPARE WITH PREVIOUS EXPERIENCES CONLCUSION SIMILAR TO ML AND NN PASSWAYS OF THINKING are constantly shifting between billions of neurons
- 7. VERY IMPORTANT NOTE Machine Learning for Beginners. Guide to understanding Machine Learning. Matthew Kinsey. 2018. This presentation is a brief summary using sentences of the book above and is used without any permission of the trademarks, brands or authors. This is for clarifying purposes only and I am not the author of them.