You can run a totally different operating system for free right on your Mac. It could be up and running in about five minutes. Want a machine that’s running Windows 10? Done. Even the most devoted Mac fan might want or need to use Windows (or another operating system) at some point. You might want … Read more How to Install a Totally Free Windows 10 Operating System on Your Mac for Fun and Profit
One of the first and particularly memorable lessons that I learned in courses on experimental physics was this: never, ever, draw a graph representing measurements without error bars. Error bars indicate the extend to which the value of a particular measurement is uncertain. There is a deeper truth to this practical rule. It implies that … Read more The Sleeping Beauty problem: a data scientist’s perspective
Pitfalls In Processing Data As soon as data generation and acquisition is accomplished, data is processed. Data transforming, cleansing, slicing and dicing can produce many misleading results . In the following you find the three most frequent ones: Cherry Picking / Discarding Unfavourable DataIt is quite common in research that you get a big dataset and … Read more Misleading With Data & Statistics.
When honest intelligence becomes the ugly duckling of science. A critical flaw in data science practices is beginning to surface: Decision-makers force data to justify their presumptions. So now that we’ve identified this problem, the solution is as simple as a change of perspective, right? False. Even if those in that position of power were to … Read more Data Science-ish
It’s a common situation: you want to code and debug in R *and* leverage RMarkdown for a presentation or document. The challenge: file paths. Executing code in the console and from within a saved RMarkdown document typically requires distinct file paths to locate data files. While you’re writing your code and debugging, you’ve probably got your source … Read more Here is Your Data
Recognizing Human Emotion from Audio Recording Image Credit: B-rina Recognizing human emotion has always been a fascinating task for data scientists. Lately, I am working on an experimental Speech Emotion Recognition (SER) project to explore its potential. I selected the most starred SER repository from GitHub to be the backbone of my project. Before we walk … Read more Speech Emotion Recognition with Convolution Neural Network
(This article was first published on R, and kindly contributed to R-bloggers) The cvms package is useful for cross-validating a list of linear and logistic regression model formulas in R. To speed up the process, I’ve added the option to cross-validate the models in parallel. In this post, I will walk you through a simple … Read more Running cross_validate from cvms in parallel
Today’s powerful models like DNN’s, produce state-of-the-art results on many tasks and they are easier to spin up than ever before (using state-of-the-art pre-trained models like ULMFiT and BERT). So, instead of spending the bulk of our time carefully engineering features for our models, we can now feed in raw data — images, text etc. to these … Read more Snorkel — A Weak Supervision System