Crash Course in AI, Data Science, and Machine Learning.

Slides introducing a bunch of university students to the concepts of artificial intelligence, data science, and machine learning.

It discusses;

- What AI is,
- Examples of AI in our daily lives,
- The concept of data science and machine learning,
- The relationship between AI, data science, and machine learning,
- The types of machine learning.

Transcript

1. Crash Course in AI, Data Science, and Machine Learning.
2. Who am I? It is important that you know who you are getting knowledge from on a particular subject, the background of such person, and how such person can add a layer (or two) of knowledge to you.
3. Stephen Oladele @nerdCyberArtist
4. OBJECTIVES Artificial Intelligence (AI) Data Science Machine Learning
5. EXERCISE 1. Pull Out Your Phone 2. Visit Google Search 3. Click on the Mic Icon on Google and say “What is AI?”
7. What is AI, really? … the ability of computer systems or machines to mimic human/animal intelligence. Examples of human intelligence
8. Examples of AI in Our Daily Lives Phone Camera Targeted Ads YouTube Recommendations Snapchat (Photo Filters) LinkedIn Jobs Facebook Friend Suggestions Web Search Gmail Smart Compose/Reply Chatbots/Virtual Assistant Online Shopping Mobile Payment Google Maps
9. AI is poised to disrupt every industry, including yours, because it can mimic human intelligence.
10. Data Science Data Science is something you already do. You take lessons from past experiences and make future or present deductions based on the lessons.
11. Data & Science Data Science
12. Data Science It refers to the extraction of insights from data through the use of computer algorithms or other scientific methods with the end goal of making reasonable deductions, conclusions, and/or effective predictions. Data Analytics BI Analytics Data Analysis
13. Machine Learning Questions to ask... Why Do We Learn? How Do We Learn? What is Learning?
14. What is Machine Learning, really? Machine Learning refers to processes to get computers to learn the way humans learn, and make deductions and predictions based on what they have learnt.
15. The relationship between AI, Data Science, and Machine Learning. Data Science Machine Learning Artificial Intelligence
16. Types of Machine Learning Traditional ML/Supervised and Unsupervised Learning Deep Learning Generative Adversarial Networks Reinforcement Learning
17. Final Points • Artificial Intelligence has gone beyond science fiction and is now disrupting every sector. The best move you can make is to learn how it will disrupt your own field, how you can adapt, and as well how you can adjust to coming disruptions in this future of work. • If you are a student, learn how AI will disrupt your chosen career path and how you can adapt to it.
18. QUESTIONS?