Welcome to your ultimate knowledge base for cracking the BITS Pilani WILP AIML (Work Integrated Learning Programme in Artificial Intelligence and Machine Learning AIML). Whether you’re: This blog is crafted to support you with everything you need. From core materials and study tips to exam hacks and community support, it’s all here. 🎯 What This […]
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🎓DSE – Sem 1 – Knowledge Base Welcome to Semester 1 of the BITS M.Tech in Data Science & Engineering (DSE) program. You must have a lot of questions about the program. This knowlege base is intended to provide all resources, notes, important links, textbooks required for BITS WILP MTech in DSE (Data Science &
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Are you planning to join BITS WILP MTech program in AIML or DSE? If you are confused or having second thoughts like “Should I join BITS WILP MTech?”, “How difficult is BITS WILP AIML or DSE program?” – you should read this. I’m writing my honest opinion of the WILP program to help you all
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Previous Year Question Papers for AIML & DSE (All Semesters) Welcome to your one-stop previous year question paper repository for the BITS WILP M.Tech in AIML and Data Science & Engineering (DSE). This page includes previous year question papers for Semester 1 and Semester 2, covering mid-sem and end-sem exams (both regular and makeup) for
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🎓DSE – Sem 2 – Overview Welcome to Semester 2 of the BITS M.Tech in Data Science & Engineering (DSE) program. How to choose DSE Electives for sem 2? This post is your all-in-one guide to understanding what to expect, how to plan, and how to navigate the semester with confidence. Whether you’re planning your
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How To Choose Electives For BITS WILP AIML – Sem 2 Before start of the sem 2 of BITS WILP AIML there be a batch wide orientation session in which the students are introduced to various subjects and electives structure and how to choose each. Each subject will have a prescribed handout which lists the
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This knowledge base has all essential resources for Semester 1 of the BITS WILP AIML program — including previous years’ question papers, PDF and printed notes, key topics, exam-focused questions, exam tips and more. Overview AIML Semester 1 will ideally have four subjects (listed below); Each subject will have a prescribed handout which lists the
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