Machine Learning through Case Studies for Beginners
Are you a beginner looking to get started with Machine Learning? This course offers a gentle introduction to Machine Learning through real world case studies as you invent your first Machine Learning algorithm.
This course gives you a broad overview of the variety of Machine Learning models and provides a learning ladder to continue learning. It also presents applications that use Machine Learning and details a plethora of techniques that are used to evolve Machine Learning models from data.
This course presents data for a simple case study of classifying emails automatically. It provides the data set, identifies features ans labels and presents the intuition behind any Machine Learning algorithm. The course goes on to talk about both the (i) Supervised and (ii) Unsupervised learning models. It presents an analysis of over fitting and under fitting in models.
The course aims to motivate a beginner to get started with their Machine Learning journey. This course will be further supplemented with focused sessions on various regression, classification and clustering algorithms.
The subsequent sessions will get in to the Math behind the algorithm while solving a real world case study. Students who continue this course through the recommended ladder will eventually have the skills to build and deploy Machine Learning models to production.
Who this course is for:
- Any software developer wanting to begin their journey in Machine Learning and Artificial Intelligence
- 01:30Getting Started
- 06:56Introduction to Machine Learning
- 21:32Email Classification Case Study
- 09:46Machine Learning Landscape
- 03:37Summary and Recap
Arun Panayappan is the Founder of Techcovery Solutions which has been in the training and consulting business for over three years now. Arun Panayappan was the Vice President, Platform Engineering at goibibo which is India's largest online travel agent. He has over 25 years of IT experience including 10 years of experience in building Machine Learning applications. He has trained over 1000 participants in Data science and mentored 5 start ups. He has worked as a consulting CTO for companies like cogknit semantics, FirstIPO and Trip38. He is frequently consulted for data science architecture and strategy by corporates across the industry.
He combines his real-world experience, understanding of Machine Learning and his passion for Math while delivering his courses. He regularly conducts trainings for large corporates in India.