Hey. Many people are familiar with MNIST, if you aren’t then it is a dataset consisting of handwritten digits from 0 to 9. It stands for Modified National Institute of Standards and Technology. It’s frequently used in training computer vision models to benchmark various classification algorithms. Grad projects and research papers alike use it to… Continue reading Fashion MNIST and why it’s better than MNIST for modern Computer Vision
Category: AI
Unsupervised machine learning to cluster user data
Ohaio, It is interesting to analyse segments created by algorithms. Product managers and marketers will find it a somewhat unbiased way to make sense of customer data. The algorithms can work well but it helps to have a sufficient grasp of statistics and understand the limitations of each model. I thought it would be useful… Continue reading Unsupervised machine learning to cluster user data
Automating your Python scripts in the cloud ☁
Hey, It can be hard to get started running scripts in the cloud. I waited till my computer could not compute some of the larger datasets in my personal projects. Luckily I had learned some of these Linux commands when accessing the supercomputer at work. If you’re a product manager, marketer, financial analyst or data… Continue reading Automating your Python scripts in the cloud ☁
Robust Principal Component Analysis for everyone
Bonjour Most people have heard of Principal Component Analysis. It was the last thing I learned and perhaps many people learn in their introductory linear algebra course at university. I’ve had to use it plenty of times to reduce dimensions when staring at a dataset with too many columns. Many people are satisfied with vanilla… Continue reading Robust Principal Component Analysis for everyone
NLP for analysts, marketers and product managers
Hai I use NLP a lot, whether it has been to analyse customer survey data or to get insights from news articles and social media posts to find stock picks or create financial models. Using NLP for work can be as hard or as easy as you’d like it to be. To follow along you’d… Continue reading NLP for analysts, marketers and product managers
Creating your data science environment
Do you have a Python environment? Hai I notice a lot of people start with installing anaconda and never go past using the base data science environment. Even if you manage to create an environment it might not show up in Jupyter Labs or VSC (what I use). This should get you started pretty quickly… Continue reading Creating your data science environment