History of Machine Learning

I always feel it’s always good to have a taste of history as it is always different in every books.

According to Arthur Samuel, he said:

Machine learning is the ability of a computer to perform a task itself without being explicitly programmed.”

This machine-learning era started around 1952 when Alan Turning proposed a machine that could learn.

But according to my research

This machine-learning era started around 1950 when Alan Turning proposed a machine that can learn.

Turing was an English mathematician born in London in 1912 and earned his PhD from the Department of Mathematics at Princeton University in 1938.

He was highly influential in the development of theoretical computer science, providing a formalization of the concepts of algorithm and computation with the Turing machine, which can be considered a model of a general-purpose computer. The same year he was prosecuted for homosexual acts in the Second World War.

The Evolution:-

• In 1950, Alan Turing founded the “Turing Test” to determine if a computer has real intelligence. To pass the test, a computer must be able to tease a human into believing it is also human.
• In 1952, Arthur Samuel wrote the first computer learning program. The program was the game of checkers, and the IBM computer improved at the game the more it played, studying which moves made up winning strategies and incorporating those moves into its program.
• In 1957, Frank Rosenblatt designed the first neural network for computers (the perceptron), which simulated the thought processes of the human brain.
• In 1967, The “nearest neighbor” algorithm was written, allowing computers to begin using very basic pattern recognition.

The history of machine learning is like a story of progress and discovery, from humble beginnings to groundbreaking achievements. And who knows what incredible innovations the future holds as we continue on this fascinating journey of teaching computers to learn and adapt like never before !! 👌

History does not repeat itself, but it often rhymes.

Honestly, this AI revolution would not have been possible without the contribution of Great Statisticians who found the solid framework for such Algorithms which are base for most of AI solutions.

The term “statistics” was coined by the German mathematician and scientist Gottfried Wilhelm Leibniz in the 17th century, but the field of statistics as we know it today has a much longer history.

Some historians consider the ancient Greek mathematician and scientist Archimedes to be the “father of statistics” because of his work on estimating the value of pi and his use of the method of exhaustion to calculate the area of a circle.

Sir Ronald A. Fisher is often referred to as the “Father of Modern Statistics.”His work on experimental design, hypothesis testing, analysis of variance, and the concept of maximum likelihood estimation greatly advanced the field of statistics

But below is the time line of the History of Statistics

It’s important to note that the field of statistics has seen the contributions of many significant figures, and different people may have varying opinions on who should be considered the most prominent figure in the history of statistics.

I know, it’s quite challenging to remember the history but you can always remember the key contributors.

1. Bernoulli (Jakob Bernoulli) (1654–1705).

Key Contribution: Developed the Bernoulli distribution and made significant contributions to probability theory.

2. Bayes (Thomas Bayes): (1701–1761)

Key Contribution: Formulated Bayes’ theorem, which provides a way to update beliefs in the light of new evidence.

3. Gauss (Carl Friedrich Gauss): (1777–1855)

Key Contribution: Developed the method of least squares and the normal distribution.

4. Galton (Francis Galton): (1822–1911)

Key Contribution: Developed correlation and regression analysis.

5. Karl Pearson (Karl Pearson): (1857–1936)

Key Contribution: Founded the field of mathematical statistics. Developed the Pearson correlation coefficient and chi-squared test.

6. R.A. Fisher (Ronald Fisher): (1890–1962)

Key Contribution: Made significant contributions to both statistics and genetics. Developed analysis of variance (ANOVA) and MLE.

Milestones & Important Figures in AI 👍

The world is never the same after 2022 — Check below !!

God father of AI

Two Bonus Tips: –

1. History of Algorithm

The word “algorithm” itself is quite interesting. At first glance, it may look as though someone intended to write “logarithm” but jumbled up the first four letters, but that’s not the case!

It has a long history of its own that goes back to the 9th Century in Persia . The term Algorithm is a corruption of the name “ABU JA’FAR MOHAMMED IBN MUSA AL-KHOWARIZMI”, an astronomer and mathematician.

He was a member of the House of Wisdom, an academy of scientists in Baghdad. The name al-khowarizmi means “from the town of Kowarzizm”, which was then part of Persia, but is now called Khiva and is part of Uzbekistan.

2. Mahalanobis — Father of Indian Statistics

Prasad Chandra Mahalanobis — Father of Indian Statistics”

Prasanta Chandra Mahalanobis is often hailed as the “Father of Indian Statistics”. Mahalanobis is best known for introducing the Mahalanobis distance and the Mahalanobis model, essential tools in multivariate statistical analysis.

Happy Learning !!☺️