When we started out to create a newsletter for the BS Degree Program, we wanted a fresh perspective filled with information, a place where students could contribute and opportunities to make use of.
Campus Cuties
The refreshed edition of the BS newsletter, the BS Insider will be a monthly newsletter is a collaborative effort between the BS Degree students and the BS Degree team. We hope the sections we have come up with will excite you as much as it did to us. Happy Reading!
Our aim is to provide you with a swift and comprehensive guide, creating a cohesive bond between academic pursuits and diverse activities throughout this edition.
Learning is not limited to textbooks; it's like learning to swim or riding a bicycle—it requires practice. – Prof. Andrew
This 12-week Machine Learning Foundations course provides an introduction to the essential principles of Machine Learning. Designed to be a comprehensive guide, the course serves as a high-level primer, enabling participants to recognize real-world issues, patterns, and applications of machine learning. Tailored for both novices and seasoned
professionals, the curriculum delves into the intricacies of linear algebra, calculus, constrained optimization, and parameter estimation—equipping learners to effectively communicate in the language of machines.
Difficulty Rating:
Rated as low-difficulty by students who have completed the course, learners from non-mathematical backgrounds may find the initial weeks challenging and may require additional time to grasp the concepts effectively.
Average Time Commitment:
The Machine Learning Foundations course lays the groundwork for subsequent courses in the Data Science program. To grasp the concepts imparted by the experienced team, it is recommended that students dedicate approximately 12-18 hours per week.
Key Skills Acquired:
i) Proficiently identifying real-world problems and patterns.
ii) Mastering applied calculus and linear algebra fundamentals.
iii) Understanding the application of Singular Value Decomposition and Principle Component Analysis.
iv) Skillfully executing constrained optimization and regression analysis on diverse datasets.
v) Recognizing various probabilistic models and their utilization in machine-learning problem-solving.
vi) Gaining expertise in parameter estimation and comprehending the significance of expectation maximization.
Amid the CoV-19 pandemic, social media had become a battleground for facts and falsehoods. Millions of tweets with anti-vaccine sentiments and skepticism swirling around, each carrying its own message, some informative, others misleading – posing a significant challenge to public health efforts. We explored traditional ML methods, transformers, and most importantly cutting edge models like GPT 3.5. Our innovative approach combining diverse promoting strategies surpassed other methods, showcasing LLM's potential in intricate multi-label classification tasks!
Stay tuned for the next edition. Please be cautious of emails/messages offering internships/placements, especially if they require payments or personal information. Verify offers to avoid potential scams and protect yourself. All internship/job opportunities and offers from the IITM BS Degree office will be communicated from our official email id:iic@study.iitm.ac.in
Prof. Andrew & Ms. Bharathi from IIT Madras Data Science program ignited young minds in a recent interactive Session with our BS Degree Students at Coimbatore Institute of Technology!
Students had an amazing session filled with insights, career advice, and a peek into the exciting world of data science.
Registration for Paradox '24 has already started. We are thrilled to invite you to join us for this sensational fest. We have around 40+ diverse events lined up for you, including hackathons, cricket, music, DJ night, workshops, and for the first time in the history of Paradox, an event that will force you to break out your tuxedos, brace up your dancing shoes, and swirl in your dresses and gowns! So, don't hesitate, gear up, and want to know the best part? The registration for the fest is free! Paradox '24 will be held from May 30th to June 2nd. Book your travel tickets to come to campus.
