WHAT IS THIS ALGORYTHM COURSE ABOUT?
This course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background, yet are committed to venture into the AI space.
WHO IS THIS COURSE FOR?
- (Non-tech) Entrepreneurs who want to build AI startups
- Career switchers from non-tech background
- Students exploring AI space
COURSE AGENDA:
-> Difference between ML, DL and Data Science
-> Description & Applications of LLMs, NLP, Computer Vision, BayesianAI
-> Introduction of the following concepts:
- Supervised learning vs Unsupervised learning
- Learning and logic regression
- K-means clustering
- Decision Tree
- Boosting and bagging algorithm
- Time series modeling
- Kernel SVM
- Naive Bayes
- Random forest classifiers
-> Existing applications of ML + Opportunities
Key Takeaways:
🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network)
🤖 Coursework, handouts, & Case Challenges
🤖 Certificate of completion upon request
P.S More Algorythm courses coming up on each one of these concepts, follow for updates.
Reading Appetizers:
🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work?
🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or...?
Welcome aboard, master of the machines!
