4 Common Machine Learning Data Transforms for Time Series Forecasting

Time series data often requires some preparation prior to being modeled with machine learning algorithms. For example, differencing operations can be used to remove trend and seasonal structure from the sequence in order to simplify the prediction problem. Some algorithms, such as neural networks, prefer…

New reports flip the switch on the artificial intelligence (AI) market

… where it’s headed. Artificial intelligence (AI) is a concept often … Global Artificial Intelligence Mac…orecast 2018-2023 report by HTF Market Intelligence is a … Global Artificial Intelligence Sof…and Forecast 2022 report by HTF Market Intelligence is … VISIT THE SOURCE ARTICLE Author:

How to Use Parametric Statistical Significance Tests in Python

Parametric statistical methods often mean those methods that assume the data samples have a Gaussian distribution. in applied machine learning, we need to compare data samples, specifically the mean of the samples. Perhaps to see if one technique performs better than another on one or…

The Race is On to Find the Optimal AI Application Architecture – AI Trends

AI applications often benefit from fundamentally different architectures than those used by traditional enterprise apps. And vendors are turning somersaults to provide these new components. “The computing field is experiencing a near-Cambrian-like event as the surging interest in enterprise AI fuels innovations that make it…

Introduction to Nonparametric Statistical Significance Tests in Python

In applied machine learning, we often need to determine whether two data samples have the same or different distributions. We can answer this question using statistical significance tests that can quantify the likelihood that the samples have the same distribution. If the data does not…

A Gentle Introduction to the Central Limit Theorem for Machine Learning

The central limit theorem is an often quoted, but misunderstood pillar from statistics and machine learning. It is often confused with the law of large numbers. Although the theorem may seem esoteric to beginners, it has important implications about how and why we can make…

Is Artificial Intelligence Replacing Your Intelligence?

… ourselves as human beings.” Artificial intelligence often replaces real intelligence. A common example … we use the artificial intelligence to replace our own intelligence. This AI shouldn … . When we use artificial intelligence to augment our own intelligence, our skills are … VISIT…

Google Spanner : The Future Of NoSQL

Guest blog post by Mohammad Tariq Iqbal Quite often, while working with Hbase, I used to feel how cool it would be to have a database that can replicate my data to datacenters across the world consistently. So that I can take the pleasure of global availability and…

Artificial intelligence dominated the Consumer Electronics Show

… as pervasive as this week. “Artificial intelligence” or variations on the theme … products—although often the artificial overcame the intelligence. Those attending gawped at … may come to mean “audio intelligence” at next year’s show … VISIT THE SOURCE ARTICLE Author:

AI Weekly: If we create artificial intelligence, will we know it?

When people talk about creating an artificial intelligence, the conversation is often focused on human or superhuman AI — systems that would equal or surpass us in intelligence. But what if we create an artificial intelligence that’s deserving of respect, but don’t recognize it as…