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  1. © २०२५ राष्ट्रीय प्रौद्योगिकी संस्थान कुरुक्षेत्र। सर्वाधिकार सुरक्षित।

    CSIC221 Machine Learning & Data Analytics

    आवश्यकताएँ:

    इस कोर्स के लिए कोई आवश्यकता नहीं

    कोर्स प्रकृति: IC
    उद्देश्य:
  1. The major goal of the course is to allow computers to learn (potentially complex) patterns from data, and then make decisions based on these patterns.
  2. To provide strong foundation for data science and application area related to it.
  3. To provide the underlying core concepts and emerging technologies in data science.
  4. A data scientist requires an integrated skill set spanning mathematics, probability and statistics, optimization, and branches of computer science like databases, machine learning etc.
    5. समान कोर्स:

    समन्वयक

    Dr. Sushil Kumar Madan
    Dr. Sushil Kumar Madan

    Professor

    skmadan@nitkkr.ac.in

    9416292144

    सामग्री

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    परिणाम

    ChariotHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorse
    1. Explore the fundamental concepts of data science and machine learning.
    2. Understand the processes of data science - identifying the problem to be solved, data collection, preparation, evaluation and visualization.
    3. Understand data analysis techniques for applications handling large data.
    4. Visualize and present the inference using various tools.
    5. Understand various machine learning algorithms used in data science process.
    ChariotHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorse

    संदर्भ पुस्तकें

    1. U Dinesh Kumar and Manaranjan Pradhan, Machine Learning using Python, John Wiley & Sons, 2020.

    2. Cathy O ‘Neil and Rachel Schutt, Doing Data Science, Straight Talk From The Frontline, O ‘Reilly, 2014.

    3. Ethem Alpaydin, Introduction to Machine Learning, Second Edition, PHI, 2010.