INTRODUCTION TO - ARTIFICIAL INTELLIGENCE (SECTION-1) | GDSC ICCS | ICCSCEM THRISSUR | 2023

Machine learning is a type of artificial intelligence that enables machines to automatically learn and improve from experience without being explicitly programmed. It involves training algorithms and statistical models on large datasets, allowing machines to make predictions or take actions based on that training.

Apr 5, 2023, 1:30 โ€“ 3:00 PM

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About this event

Machine learning is an area of computer science and artificial intelligence that involves the development of algorithms and statistical models that can enable machines to learn from data and improve their performance over time. In recent years, the field of machine learning has experienced rapid growth and has become an important tool for solving complex problems in various domains, including healthcare, finance, transportation, and many others.

Machine learning events typically involve a series of talks, workshops, and interactive sessions that aim to provide participants with an in-depth understanding of the latest trends and developments in the field. These events often bring together researchers, practitioners, and industry experts from around the world, providing a platform for networking and collaboration.

Some of the topics covered in machine learning events may include:

Supervised learning: This involves training machines on labeled data, where the output is known, to make predictions on new data.

Unsupervised learning: This involves training machines on unlabeled data, where the output is unknown, to discover patterns and structures in the data.

Deep learning: This is a subfield of machine learning that involves the use of neural networks to learn from data.

Reinforcement learning: This involves training machines to learn through trial and error, where the machine receives feedback in the form of rewards or penalties based on its actions.

Applications of machine learning: This may include areas such as natural language processing, computer vision, speech recognition, and robotics.

Machine learning events may also include hands-on workshops and tutorials that allow participants to gain practical experience with the latest tools and technologies in the field. These may include programming languages such as Python, data visualization tools such as Tableau, and machine learning libraries such as TensorFlow and PyTorch.

Overall, machine learning events provide an excellent opportunity for researchers, practitioners, and enthusiasts to learn about the latest trends and developments in the field, network with peers, and gain practical experience with the latest tools and technologies.

Speaker

  • Athulya B.Vijay

Facilitator

  • Athulya B.Vijay

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INDIAN COOPERATIVE CREDIT SOCIETY LIMITED -ICCSL

Organizers

  • Aravind Kumar

    GDSC Lead

  • Adith S

    Event Management Lead

  • Akshay C R

    Technical Lead

  • Sanjai Krishna

    ICCS COLLEGE OF ENGINEERING AND MANAGEMENT ,THRISSUR

    Public Relations Lead

  • Toms John

    Media Lead

  • Sayooj c.s

    Documentation Lead

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