Start here as a knowledge base for cracking the BITS Pilani Work Integrated Learning Program (WILP) in DSE – Data Science & Engineering! Whether you’re just starting the journey or are midway through the program, this WILP knowledge base is designed to help you succeed smartly, not just study hard. Have questions like: 🚀 For […]
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Welcome to your go-to knowledge base & resource for cracking the BITS Pilani Work Integrated Learning Program (WILP) in Artificial Intelligence and Machine Learning (AIML)! Whether you’re just starting the journey or are midway through the program, this blog is designed to help you succeed smartly, not just study hard. Have questions like: 🚀 What
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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 question paper repository for the BITS Pilani WILP M.Tech programs in Artificial Intelligence & Machine Learning (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
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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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Orientation & Electives for BITS WILP AIML – Sem 2 Before start of the semester two 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 topics
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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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