In today's technology-driven world, machine learning has emerged as a transformative field with immense career opportunities. Whether you're a fresh graduate or a seasoned professional looking to switch domains, diving into the world of machine learning can be an exciting and rewarding journey. In this blog post, we will outline a roadmap to help you jumpstart your career in machine learning and set yourself on the path to success.
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
-> 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 Use Cases of ML via Exclusive Newsletters
🤖Monthly Q&A and Case Discussions (via Google Meet)
📚Reading Appetizers:
🤖 ALGORYTHM | Vital Tools to deploy Data Science Projects
🤖ALGORYTHM | Jumpstart Your Career in Machine Learning: A Roadmap to Success
P.S More Algorythm courses coming up on each one of these concepts, follow for updates.
