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The present is the past rolled up for action, and the past is the present unrolled for understanding - thats why I love analytics. ❤️ @iyaoboro
Sep 25, 2018 20 tweets 6 min read
Day 12: #100DaysofCode
Built a handwritten digit recognition algorithm using neural networks. Trained it. Tested it. Understanding the concepts - a thread.
colab.research.google.com/drive/1-neDSoL…
#100DaysOfMLCode @myorwah @esemejeomole A neural network consists of a input layer, hidden layer (middle layer) and the output layer. The input layer takes in the input (images, files, audio, video etc), passes it to the hidden layer where come processing/learning is done and passed to the output layer for results.
Jul 13, 2018 14 tweets 9 min read
Bayes’ Theorem Definitions:
The vertical bar | stands for "given that".
P = Probability.
A & B are events.
P(A) & P(B) are the probabilities of events A and B. Each event is separate from the other.
P(A|B) is the probability of A being true given that event B is true.
#SoDS18 #ML Example:
Say we have 2 coolers at an owambe: Cooler A is filled with 10packs of small chops only. Cooler B has 5packs of small chops and 5packs of Asun. You are then asked to close your eyes and pick a pack out of one cooler, which pack would you pick? #MachineLearning #SoDS18