Data News and Articles
Why is “Data Scientist” Such a Controversial Title? —
There’s a healthy debate in industry over what Data Science actually means, and if “Data Scientist” is a pernicious title. I’d like to argue that the role of a “scientist” is something that industry has yet to capitalize on, and that if we imprudently get rid of it, we’ll be missing an opportunity to foster a valuable mindset within the product development process. Tags: Data Scientist, Tech, Management
From Data Engineer to SysAdmin: Put Down the K8s Cluster —
This post is a ‘be careful, you are not Google’ type post, with some specifics on how K8s ownership has proved frustrating and unsatisfying to an engineer whose actual goal is to help the business understand itself and build better products using data & ML. Tags: Kubernetes, Engineering, Complexity, ML, Products
Improving a Machine Learning System —
Machine learning systems are extremely complex, and have a frustrating ability to erode abstractions between software components. This presents a wide array of challenges to the kind of iterative development that is essential for ML success. Tags: ML, Optimize
Get Ready For Confidential Computing —
Companies that are able to use data securely will be well-positioned to build data and AI applications in the future. Tags: AI, Data, Safeguards
Learning with not Enough Data Part 1: Semi-Supervised Learning —
The performance of supervised learning tasks improves with more high-quality labels available. However, it is expensive to collect a large number of labeled samples. There are several paradigms in machine learning to deal with the scenario when the labels are scarce. Semi-supervised learning is one candidate, utilizing a large amount of unlabeled data conjunction with a small amount of labeled data. Tags: ML, Training, Data Labeling
Data Tools and Resources
Introducing the 🤗 Data Measurements Tool —
We made a tool you can use online to build, measure, and compare datasets. This is an interactive tool for looking at datasets. Tags: Datasets, Web-based, Tools
Interactive Tools for ML, DL, and Math —
This is a collection of tools that are helpful for ML, deep learning, and computational analysis. Tags: ML, AI, Deep Learning, Discovery
How To's and Tutorials
D3 Charts —
D3 Charts help you get started quickly with D3. To use these charts in your application, copy-paste or import the chart function into your code, then pass the chart function your data and any options. The chart function returns an SVG element that you can then insert into the page. Tags: Visualization, Charts, D3
The Missing Semester of Your CS Education —
Classes teach you all about advanced topics within CS, from operating systems to machine learning, but there’s one critical subject that’s rarely covered, and is instead left to students to figure out on their own: proficiency with their tools. We’ll teach you how to master the command-line, use a powerful text editor, use fancy features of version control systems, and much more! Tags: Education, Full Course, CS
Sports Analytics Reading List —
This list was compiled through a combination of my own experience and recommendations from other members of the sports analytics community. Tags: Sports, Analysis, Reading List
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