️ HOW TO GET STARTED WITH MACHINE LEARNING!



The #1 question I get is how to get started with Machine Learning, so join me today as we talk about this! 😀

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Favorite Resources
—–
Activation Functions – https://en.wikipedia.org/wiki/Activation_function
Luis Serrano’s Neural Network Series (REALLY GOOD) – https://www.youtube.com/watch?v=UNmqTiOnRfg&list=PLs8w1Cdi-zvavXlPXEAsWIh4Cgh83pZPO
Giant_Neural_Network’s Neural Network Series (REALLY GOOD) – https://www.youtube.com/watch?v=ZzWaow1Rvho&list=PLxt59R_fWVzT9bDxA76AHm3ig0Gg9S3So
Macheads101’s Neural Network series – https://www.youtube.com/watch?v=OypPjvm4kiA&list=PL3XtGMELeTxytyFKrUu87EudAJiO4XK0u
3Blue1Brown’s Neural Network Series – https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
Hugo’s Neural Network Series – https://www.youtube.com/watch?v=SGZ6BttHMPw&list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH
James Mccaffrey Talk (A BIT OUTDATED INFORMATION BUT STILL A FUN ONE)- https://www.youtube.com/watch?v=-zT1Zi_ukSk

Important Maths
—–
Vectors (explained with Linear Algebra): https://www.khanacademy.org/math/linear-algebra/vectors-and-spaces
Vectors (explained with PreCal): https://www.khanacademy.org/math/precalculus/vectors-precalc
Matrices: https://www.khanacademy.org/math/precalculus/precalc-matrices
Sequences: https://www.khanacademy.org/math/precalculus/seq-induction
Derivative Rules: https://www.khanacademy.org/math/ap-calculus-bc/bc-derivative-rules

Maths that will help
—–
Algebra Functions: https://www.khanacademy.org/math/algebra/algebra-functions
Quadratics: https://www.khanacademy.org/math/algebra/quadratics
Irrational: https://www.khanacademy.org/math/algebra/rational-and-irrational-numbers
Analyzing Categorical Data: https://www.khanacademy.org/math/statistics-probability/analyzing-categorical-data

REMEMBER TO ALWAYS FEED YOUR CURIOSITY

#AI #MachineLearning #softwareengineering

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