A Basic Free Course in Machine Learning for All in 2024
Table of Contents
Course Introduction
Foundation of Machine Learning is a beginner-friendly course specifically designed for individuals with no engineering background. This course aims to introduce non-engineers to the core concepts of machine learning in a simple and accessible manner. Students will learn the basics of machine learning, focusing on practical applications and real-world scenarios.
• To gain foundational knowledge in data science and machine learning, including understanding types of data, basic principles of machine learning algorithms, and their applications.Understand basic concepts of data and machine learning
• To develop the skill of translating real-world challenges into machine learning problems, suitable for different applications across various industries.Apply user-friendly tools to visualize data and develop machine learning models to solve simple real world problems
• To acquire practical skills in using accessible tools for data visualization and to build basic machine learning models for solving simple real-world problems.
• Assess and reflect on the societal, ethical, and legal consequences linked with AI and machine learning technologies.”
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Course layout
Week 1: Introduction to Machine Learning
Week 2: Data and its importance
Week 3: Supervised Learning
Week 4: Unsupervised Learning
Week 5: Evaluation and Interpretation
Week 6: Future Trends and Responsible AI
Week 7: Final project
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Books and references
“””Machine Learning For Dummies”” by John Paul Mueller and Luca Massaron
“”The Hundred-Page Machine Learning Book”” by Andriy Burkov”
Instructor bio
Sumitra Padmanabhan
UGDX School Of Technology, ATLAS SkillTech University, Mumbai
Dr. Sumitra Padmanabhan is a passionate academician and believes in integrating the “learning through reflection on doing” approach into academics. She has more than 20 years of experience as a teacher/ mentor in a Technology college. At present she is working as an Associate Professor at uGDX School of Technology, ATLAS SkillTech University, Mumbai. She received her Ph.D. from the Nirma Institute of Technology, Ahmedabad, in 2022. Her research approach combined the emerging data science methods along with physics of equatorial ionosphere and her main research interests are in applying Machine learning, algorithms and Data Science techniques to Earth and atmospheric science problems. She has developed Machine learning algorithms to forecast the behaviour of ionospheric total electron content in the equatorial region as part of her thesis work. She has a Master’s in Electronics Science from Pune University, an MPhil in Information Technology from YCMOU, Nasik, and a Master’s in Data Science from Liver Pool John Moore’s University. She has also completed her PG diploma in Data Science from IIIT Bangalore and at present pursuing her MTech in Data Science and Engineering from BITS Pilani.
Course certificate
Given that this is a non-credit course, it is important to note that there will be no final examination. Consequently, learners will not receive a certificate upon completion of the course. This structure aligns with the academic nature of the program, emphasizing the absence of a formal assessment and certification process for non-credit courses.
How to apply for this Free Course?
To Apply for this free course, Visit: https://onlinecourses.swayam2.ac.in/imb24_mg126/preview
