📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals

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Broadening Your Passions - Learning How To Learn for Youth by ASU #3

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Using a Tomato to Avoid Putting Things Off - Learning How To Learn for Youth by ASU #2

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Why Trying Too Hard Can Sometimes Be a Problem - Learning How To Learn for Youth by ASU #1

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Basic Modeling for Discrete Optimization - Module 1 Summary by The University of Melbourne #8

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Basic Modeling for Discrete Optimization - Global Constraints by The University of Melbourne #7

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Basic Modeling for Discrete Optimization - Arrays and Comprehensions by University of Melbourne #6

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Basic Modeling for Discrete Optimization - Modeling Objects by The University of Melbourne #5

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Basic Modeling for Discrete Optimization - Models and Instances by The University of Melbourne #4

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Basic Modeling for Discrete Optimization - Third Model by The University of Melbourne #3

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Basic Modeling for Discrete Optimization - Second Model by The University of Melbourne #2

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Basic Modeling for Discrete Optimization - First Steps by The University of Melbourne #1

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Chinese for HSK 1 - Writing Chinese Language by Peking University #7

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Chinese for HSK 1 - Learn Chinese Numbers and Ages by Peking University #6

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Chinese for HSK 1 - Chinese Writing by Peking University #5

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Chinese for HSK 1 - Learn to Speak Chinese (Countries & Nationalities) by Peking University #4

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Chinese for HSK 1 - Writing Chinese Characters by Peking University #3

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Chinese for HSK 1 - Chinese Greetings and Basic Conversation by Peking University #2

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Chinese for HSK 1 - Introduction to Everyday Chinese by Peking University #1

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What is Data Science? - What is the Cloud? by IBM #6

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