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Introduction to Deep Learning. (Source: MIT.edu)

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MIT 6.S191 - Introduction to Deep Learning : Lecture 1, New 2025 Edition, Foundations of Deep Learning. Lecturer: Alexander Amini. Lectures, slides, and lab materials . I sat in for the interesting introduction of first lecture (and would continue this lecture later). Within the first few minutes, the lecturer demonstrated the power of deep learning and he motivated me to continue with this course ( I really hope I have the world of time.)
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What is deep learning? (Source: Mckinsey.com)

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Visit: What is Deep Learning? (Source: Mckinsey.com) An interesting write-out as it shares the relationship between deep learning and generative AI. It also introduces the kinds of neural networks are used in deep learning.
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Deep Learning

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  Deep learning is a type of machine learning that uses multi-layered artificial neural networks to automatically learn patterns and features from vast amounts of data for complex tasks like image recognition, speech processing, and language translation It offers high accuracy by processing information in stages. Unlike traditional machine learning, it learns features directly from data without needing human-engineered feature extraction, making it powerful for unstructured data and complex problems. More on Deep Learning and Study Deep Learning  
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Learning Python (Source: MIT.edu, youtube.com)

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MIT 6.100L Introduction to CS and Programming using Python, Fall 2022, by Prof Ana Bell. View full course (Source: MIT.edu , youtube.com) Lecture 1: Introduction to CS and Programming Using Python (1h video) I am starting to go through these videos. Generally, the Prof not only introduces the terms and concepts, she also helps me to remember them. Basically, I am motivated to continue attending her lectures and to find out more on Python. Good to meet such a wonderful professor and many thanks to MIT. Here’s a summary of the first lecture (but it’s better for you to attend). The Prof discusses the idea of an object in Python. Every object in Python has a specific type. The type tells Python the type of things we are allow to do with the object. Once, we have an object, we can assign it to a variable. These variables, basically bind names to objects. The = sign is an assignment, for example, var = type (5*4). The following have been discussed: Expressions involve objects and operatio...
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Why (Learn) Python

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  Do You Still Need to Learn Python in the Age of AI? (Source: MIT.edu – youtube.com) Watch this 3min video if you are curious to know. Also, read “Don’t blindly trustwhat AI tells you, says Google’s Sundar Pichai” (Source: bbc.com ) Personally, I perceive humans will have to clean up the “AI mess” in due course, just like, what we are doing now for “fossil fuels mess”. So it pays to learn the Python. More on Learning Python
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What is Machine Learning? (Source: Stanford.edu)

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Visit: What is Machine Learning (Source: Stanford.edu) This video (1.5min) explains in simple terms what machine learning is and how is it related to artificial intelligence. Visit: What is machine learning? (Source: IBM.com)
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Machine Learning (ML)

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  Machine learning (ML) is a subset of artificial intelligence (AI) that enables systems to learn and improve from data without being explicitly programmed . Instead of following pre-written instructions, ML algorithms find patterns in data, make predictions or decisions, and get better at the task over time as they are exposed to more information.   More on ML
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