Getting a headstart in ML

Are you ready to dive into the exciting world of Machine Learning (ML) and data-related roles? Join us for an insightful discussion and roadmap to help you kickstart your journey towards a successful career in data-driven fields. Whether you're a beginner or already on your way, this event is designed to equip you with the knowledge and resources you need to excel in ML and related roles

Sep 8, 2023, 1:30 – 3:00 PM

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Key Themes

Career DevelopmentExplore MLKaggleMachine LearningTensorFlow / Keras

About this event

Are you ready to dive into the exciting world of Machine Learning (ML) and data-related roles? Join us for an insightful discussion and roadmap to help you kickstart your journey towards a successful career in data-driven fields. Whether you're a beginner or already on your way, this event is designed to equip you with the knowledge and resources you need to excel in ML and related roles.

Agenda Highlights:

1. Exploring Data-Driven Roles:

Uncover the diverse landscape of data-related roles, including Data Analyst, Data Scientist, Machine Learning Engineer, and more. Learn about the responsibilities, skill sets, and industries these roles are prevalent in.

2. Navigating Learning Resources:

Discover a vast amount of resources tailored to your learning style. We'll guide you through a variety of books, online courses, video tutorials, and coding platforms that will help you master ML concepts and tools.

3. Opportunities for Internships and Learning:

Learn about internship opportunities and programs that can provide hands-on experience in real-world data projects. Our experts will share tips on how to land internships and make the most of your learning journey.

4. Hacking Your Way to Success:

Get ready to flex your skills! Explore the world of data-focused hackathons, competitions, and challenges. We'll discuss how participation can boost your expertise and provide valuable networking opportunities.

5. The Roadmap to Success:

We'll provide you with a detailed roadmap for each data-related role, complete with recommended reading materials, video tutorials, and code resources. Whether you're interested in statistics, machine learning algorithms, or data visualization, we've got you covered.

Who Should Attend:

Students aspiring to break into data-driven roles.

Professionals seeking to transition into data-related careers.

Anyone curious about the world of Machine Learning and data science.

Why Attend:

This event will equip you with the knowledge, resources, and connections you need to embark on a successful journey in the field of Machine Learning and data-related roles. Whether you're a novice or an experienced professional, this event will help you take your next step towards a rewarding career.

Speaker

  • Akash Kundu

    AI/ML Lead

Organizers

  • Divyanshu Raj

    GDSC Lead

  • Sumit Bhuia

    Android Lead

  • Akash Kundu

    AI/ML Lead

  • Bhavya Jaiswal

    Frontend Lead

  • Rajdeep Sengupta

    Cloud & DevOps Lead

  • Soumyadeep Bose

    GDSC HIT

    AI/ML Associate

  • Ashutosh Jha

    Flutter Lead

  • Satadru Roy

    Cyber Security Lead

  • Poulav Bhowmick

    OpenSource & Outreach Lead

  • Priyanshu Pilaniwala

    Competitive Programming Lead

  • MD AMAAN

    Blockchain Lead

  • Rohit Ranjan Singh

    Full Stack Lead

  • Ankush Roy

    Frontend Associate

  • Biswajit Ghosh

    Backend Lead

  • Sattwik Das

    Backend Associate

  • MOHIT JENA

    UI/UX Lead

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