# AI News, Machine Learning

- On Friday, January 5, 2018
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## Machine Learning

Related tags Artificial IntelligenceData ScienceDeep LearningAIBig DataTechnologyNeural NetworksStartupTech Top storiesLatest storiesArchive Sidath Asiri in Towards Data Science Dec 31, 2017 10 Machine Learning Algorithms You need to Know Read more… 1.2K 3

responses James Le Jan 3 The 8 Neural Network Architectures Machine Learning Researchers Need to Learn The Historical… Read more… 309 William Koehrsen Dec 27, 2017 Random Forest in Python A

I want to warn you about bias and how it can appear in those types of projects, share some illustrative examples, and… Read more… 361 5

responses Dale Wahl in Towards Data Science Dec 29, 2017 Tesla: Stock Price Prediction Quick Note: I will not be predicting the stock price of Tesla.

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## 10 Machine Learning Algorithms You need toKnow

10 Machine Learning Algorithms You need to Know Photo: http://hpc-asia.com/wp-content/uploads/2016/02/equations.jpg We live in a start of revolutionized era due to development of data analytics, large computing power, and cloud computing.

During the training session, the model will adjust its variables to map inputs to the corresponding output.

Linear Regression Linear Regression algorithm will use the data points to find the best fit line to model the data.

A line can be represented by the equation, y = m*x + c where y is the dependent variable and x is the independent variable.

Basic calculus theories are applied to find the values for m and c using the given data set.

Linear Regression has 2 types as Simple Linear Regression where only 1 independent variable is used and Multiple Linear Regression where multiple independent variables are defined.

https://upload.wikimedia.org/wikipedia/commons/thumb/b/b5/Svm_separating_hyperplanes_%28SVG%29.svg/512px-Svm_separating_hyperplanes_%28SVG%29.svg.png In above diagram red line is the best line since it has the most distance from the nearest points.

KNN (K-Nearest Neighbors) This is a simple algorithm which predicts unknown data point with its k nearest neighbors.

https://au.mathworks.com/matlabcentral/mlc-downloads/downloads/submissions/63621/versions/1/screenshot.gif However, this algorithm needs high computation power and we need to normalize data initially to bring every data point to same range 4.

Logistic function (https://qph.ec.quoracdn.net/main-qimg-05edc1873d0103e36064862a45566dba) “Sigmoid” (Logistic function) is one of such function which has “S” shape curve used for binary classification.

It converts values to the range of 0, 1 which interpreted as a probability of occurring some event.

= e^(b0 + b1*x) / (1 + e^(b0 + b1*x)) Above is a simple logistic regression equation where b0, b1 are constants.

While training values for these will be calculated such that the error between prediction and actual value become minimum.

Decision Tree This algorithm categorizes the population for several sets based on some chosen properties (independent variables) of a population.

If we try to predict a flower type by its petal length and width, we can use Naive Bayes approach since both those features are independent.

Especially nowadays data collecting in systems occur at very detailed level due to the existence of more than enough resources.

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## Information Technology News -- ScienceDaily

Largest Known Prime Number Discovered Jan. 4, 2018 — A collaborative computer project has discovered the largest known prime number.

read more Virtual Twin in Ten Minutes Jan. 2, 2018 — Avatars -- virtual persons: A new system makes it possible to practice and improve motion sequences by providing individualized feedback in real time.

read more Cutting-Edge Statistics Yield New Insight Into Attributing, Projecting Climate Change Dec. 21, 2017 — Projecting the future of extreme weather events across the globe remains a complex task in climate research -- and one in which statisticians are increasingly playing key ...

read more Inner Workings of Victorious AI Revealed by Researchers Dec. 18, 2017 — Libratus, an artificial intelligence that defeated four top professional poker players in no-limit Texas Hold'em, uses a three-pronged approach to master a game with more decision points than ...

read more Computer Systems Predict Objects' Responses to Physical Forces Dec. 14, 2017 — New research examines the fundamental cognitive abilities that an intelligent agent requires to navigate the world: discerning distinct objects and inferring how they respond to physical ...

read more Artificial Intelligence Helps Accelerate Progress Toward Efficient Fusion Reactions Dec. 14, 2017 — Before scientists can effectively capture and deploy fusion energy, they must learn to predict major disruptions that can halt fusion reactions and damage the walls of doughnut-shaped fusion devices ...

read more Gecko Adhesion Technology Moves Closer to Industrial Uses Dec. 13, 2017 — While human-made devices inspired by gecko feet have emerged in recent years, enabling their wearers to slowly scale a glass wall, the possible applications of gecko-adhesion technology go far beyond ...