The next kind of thing we’re going to talk about is what’s called the curse of dimensionality. So this is as much a data– this is sort of a data quality issue, but it’s something that we have to be careful about when we’re doing data processing. So the curse… Continue Reading Dimensionality Reduction | Introduction to Data Mining part 14

So another useful sort of subcategory of record data is document data. So in this case, it kind of is somewhat similar to a data matrix. Every term, every entry, every data attribute has a numeric value. But in this case, we’ve got counts, we’ve got discrete values. So in… Continue Reading Document & Transaction Data | Introduction to Data Mining part 5

♪ I love it when you call me Big Data ♪ Welcome to the Dr. Data show! I’m Eric Siegel. Data science, big data, what the hell do these buzzwords really specifically mean? Are they just cockamamie? Intentionally vague jargon that overhypes and overpromises? Or are these terms actually helpful?… Continue Reading What the Heck Does “Data Science” Really Mean? The Dr. Data Show

Data can come in all shapes and sizes. It can be a simple spreadsheet or a complex text, audio, video or even an image. Today, I will show you how Orange transforms images into numbers and in this way enables machine learning. First, we will have to install Image Analytics… Continue Reading Getting Started with Orange 14: Image Analytics – Clustering

If you want to do a quick calculation on some numeric values such as calculating the difference between values or compare values to see if they match or meet a certain condition then you’ll need to know the different operators you can work with we’ll focus on three main types… Continue Reading Arithmetic, Rational, Logical Operators – Introduction to R Programming – Part 4

Hi, this is Stylianos from the Tesseract Academy. In this video, we’re going to be talking about interpretable machine learning. So, interpretable machine learning is a very exciting topic. Machine learning models traditionally have been black boxes. They deliver results, but we can’t really explain how they do what they… Continue Reading Interpretable machine learning (part 1): Peeking into the black box

– [Interviewer] Hello, and welcome to Experian’s Data Talk, a time when we get together each week to talk about big data and analytics. At Experian, we believe that big data is good, good for our economy, good for consumers, and good for society. In today’s episode, we get a… Continue Reading Meta Brown: Data Mining for Dummies #DataTalk

– You’re used to doing Machine Learning and Data Science in Python. But now you have this giant data set, it’s about 100 GigaBytes, and it doesn’t fit into your memory. You try to load it into a Pandas DataFrame, and you get an out of memory error. So what… Continue Reading Dask in 15 Minutes | Machine Learning & Data Science Open-source Spotlight #5

Welcome to Cloud Data Science #7. This is our first-ever on-location. We are at the Grand Canyon in Arizona today. Let’s jump right into the news. First up, Microsoft released DeepSpeed, which is an optimization library and open-source library for deep learning. It supports up to 100 billion parameters. Next… Continue Reading Cloud Data Science 7

[MUSIC].>>Peter, welcome to Basel. We’re delighted to have you here and a great alliance between our two companies. The expertise that we have in life science and the strengths that you have in AI will crack some of the most important challenges for patients. There’ still 90 percent of diseases… Continue Reading Reimagining Medicine using AI