This is the stage-by-move story of how I went from a self-taught machine learning programmer, to receiving a machine learning internship, to exploring reliable machine learning at the University of Cambridge. If you’re just starting up out with machine learning, hopefully this online video will prevent you creating the same faults I did. Remark down under your stories of how you obtained into machine learning!
Social:
Twitter: https://twitter.com/mukulrathi_
My site (+ site): https://mukulrathi.com
My electronic mail newsletter: https://newsletter.mukulrathi.com
My deep finding out tutorials: https://mukulrathi.com/demystifying-deep-learning/maths-at the rear of-deep-mastering/
My deep discovering workshop supplies: https://github.com/mukul-rathi/workshop-deep-studying
and recordings: https://www.youtube.com/check out?v=84iCkb7hqKs&listing=PLC-8dKj3F0NW73z1AXF4xFh1cxjgXxpVn
My Uni of Nottingham placement report: https://github.com/mukul-rathi/FullyConvNet
A person of my early ML tasks: https://github.com/mukul-rathi/ChemRegressionNeuralNet
OxfordHack undertaking: https://github.com/mukul-rathi/DeepDoc
My PR to PySyft: https://github.com/OpenMined/PySyft/pull/1566
Here are some other useful inbound links for individuals finding started off:
Coursera machine learning class: https://www.coursera.org/study/equipment-mastering
Deeplearning.ai class: https://www.deeplearning.ai/software/deep-mastering-specialization/
LSTM site put up revealed at 2 minutes in: http://colah.github.io/posts/2015-08-Comprehending-LSTMs/
CS231n Lectures: https://www.youtube.com/watch?v=vT1JzLTH4G4&checklist=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk
OpenMined: https://www.openmined.org/
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Timestamps:
00:00 Introduction
00:31 How I bought into machine learning
03:31 Implementing for ML internships
04:14 My ML internship
04:53 Commencing my have ML website
05:22 Jogging ML workshops at uni
06:08 Using a split from ML
07:10 Starting up my ML Master’s diploma
08:31 Tips if you are new to ML
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