10 Examples of How to Use Statistical Methods in a Machine Learning Project

Statistics and machine learning are two very closely related fields. In fact, the line between the two can be very fuzzy at times. Nevertheless, there are methods that clearly belong to the field of statistics that are not only useful, but invaluable when working on…

Controlled Experiments in Machine Learning

Systematic experimentation is a key part of applied machine learning. Given the complexity of machine learning methods, they resist formal analysis methods. Therefore, we must learn about the behavior of algorithms on our specific problems empirically. We do this using controlled experiments. In this tutorial,…

TensorFlow.js – Serve deep learning models with Node.js and Express

In this video, we’ll go through the process of getting a web server set up to host deep learning web applications and serve TensorFlow.js models with Express for Node.js. To build deep learning applications that run in the browser, we need a way to host…

Combining stem cell technology and artificial intelligence to diagnose genetic cardiac diseases

… various diseases. Machine learning and artificial intelligence have greatly improved in recent … combined stem cell technology and artificial intelligence to study beating cardiomyocytes in … new finding demonstrates that uniting artificial intelligence and machine learning can help … VISIT THE SOURCE ARTICLE Author:

Statistical Significance Tests for Comparing Machine Learning Algorithms

Comparing machine learning methods and selecting a final model is a common operation in applied machine learning. Models are commonly evaluated using resampling methods like k-fold cross-validation from which mean skill scores are calculated and compared directly. Although simple, this approach can be misleading as…

How IoT and Artificial Intelligence help in identifying fraud claims

… of Things, Machine Learning and Artificial Intelligence, insurance companies are bracing themselves … claims, technologies like IoT, blockchain, artificial intelligence will also help insurers lower … VISIT THE SOURCE ARTICLE Author:

A Gentle Introduction to the Chi-Squared Test for Machine Learning

A common problem in applied machine learning is determining whether input features are relevant to the outcome to be predicted. This is the problem of feature selection. In the case of classification problems where input variables are also categorical, we can use statistical tests to…

A Gentle Introduction to Statistical Sampling and Resampling

Data is the currency of applied machine learning. Therefore, it is important that it is both collected and used effectively. Data sampling refers to statistical methods for selecting observations from the domain with the objective of estimating a population parameter. Whereas data resampling refers to…

Why Micron Is So Excited About Artificial Intelligence

… learning, commonly referred to as artificial intelligence, processing tasks. That sub-segment is … clearly very excited about the artificial intelligence opportunity as it means they … , Micron’s opportunity within artificial intelligence is just one (albeit increasingly … VISIT THE SOURCE ARTICLE Author:

Artificial intelligence—a game changer for climate change and the environment

… . What are artificial intelligence, machine learning and deep learning? Artificial intelligence has been around … . The holy grail of artificial intelligence research is artificial general intelligence, when computers will … its results. Artificial intelligence is a game changer Microsoft believes that artificial…