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Machine Learning
Mathematics
Statistics
Graphics
Data Science
Machine Learning
TensorFlow
Example 1
Example 2
JS Graphics
History
Machine Learning Intro
This Tutorial covers the basics of
Linear Functions
// Generate values var xValues = []; var yValues = []; for (var x = 0; x <= 10; x += 1) { xValues.push(x); yValues.push(x); } // Display using Plotly var data = [{x:xValues, y:yValues, type:"lines"}]; var layout = {title: "f(x) = x"}; Plotly.newPlot("myPlot1", data, layout);
Linear Algebra
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Machine Learning Statistics
Machine Learning assumes that the user has some knowledge of statistics.
This section covers the Statistic Methods involved in Machine Learning.
Distribution
Probability
What is the probability of throwing 3 fours?
Machine Learning
This section of this tutorial covers the main Machine Learning aspects.
TensorFlow.js is written in JavaScript. This allows Machine Learning functions to run in the Browser or in any Web Application.
JavaScript Graphics
This section describes JavaScript libraries to use for Machine Learning Graphics and other HTML charts.
var xArray = [50,60,70,80,90,100,110,120,130,140,150]; var yArray = [7,8,8,9,9,9,10,11,14,14,15]; var data = [{x:xArray, y:yArray, mode:"markers", type:"scatter"}]; var layout = { xaxis: {range: [40, 160], title: "Square Meters"}, yaxis: {range: [5, 16], title: "Price in Millions"}, title: "House Prices vs. Size" }; Plotly.newPlot("myPlot21", data, layout);
The History
The last section of this tutorial takes a look at the development of human intelligence and artificial intelligence.
About 70 000 years ago, the human brain started to develop "Cognitive Intelligence":
Cognitive intelligence also created:
Computers are a result of the human need for doing Complex Calculations.
Artificial Intelligence and Machine Learning is a result of the never stopping development of advanced computers.