Category Archives: Data Science News

Data Labeling Industry Needs to Take the Lead in Reform as AI is Difficult to Break the Ground AI landing has become a difficulty Two years ago, the investment and financing enthusiasm of the artificial intelligence field has been greatly reduced, and a considerable number of AI enterprises have completely disappeared. “The cold wave of artificialContinue reading “Data Labeling and Annotation for ML Projects in 2021”

Maintaining proper organization of all your data science projects will increase your productivity, minimize errors, and increase your development efficiency. This tutorial will guide you through a framework on how to keep everything in order on your local machine and in the cloud. Originally from KDnuggets https://ift.tt/3mZExHy source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-organize-your-data-science-project-in-2021

Check out the freely-available Stanford course Machine Learning with Graphs, taught by Jure Leskovec, and see how a world renowned researcher teaches their topic of expertise. Accessible materials include slides, videos, and more. Originally from KDnuggets https://ift.tt/3x6XpJg source https://365datascience.weebly.com/the-best-data-science-blog-2020/free-from-stanford-machine-learning-with-graphs

Latest KDnuggets Poll results: The Job satisfaction has declined for ML Engineers, Data Scientists, and Data Analysts, but remained the same for Data Engineers, and Managers/Directors. Data Scientist job satisfaction has an alarming drop in mid-career. Finally, which regions have the highest and lowest job satisfactions? Originally from KDnuggets https://ift.tt/2RATsfD source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-profession-job-satisfaction-beware-of-the-drop

Over the past 15 years, I have had the chance to work with many OCR tools and one thing I can say with certainty is that the text extraction quality of these tools has steadily improved with ongoing improvements in artificial intelligence and machine learning OCR techniques. More than ever businesses are trying to deriveContinue reading “Templates Vs Machine Learning OCR”

Brain zones can be highlighted thanks to the Blue Brain Cell Atlas. Credit: © BBP / EPFL The “Blue Brain” project, is a collaboration of IBM and Swiss University team, aims to create a digital reconstruction of the mouse brain by reverse-engineering mammalian brain circuitry. The work was presented at the European Future Technologies meeting inContinue reading “The Blue Brain Project-A mission to build a simulated Brain”

Nearly a year ago, as the world was locking down, I learned about a new app that automatically matches people based on interests. It was invite-only and offered one 30-minute professional date every day of the week. My friend Grant knew I was looking to connect with people in the AI space and suggested givingContinue reading “AI and Human Rights A Story About Equality”

With so many great (and not-so-great) songs out there, it can be hard to find those that match your musical preferences. Follow along this ML model building project to explore the extensive song data available on Spotify and design a recommendation engine that could help you discover your next favorite artist! Originally from KDnuggets https://ift.tt/3v1XGM1Continue reading “What makes a song popular? Analyzing Top Songs on Spotify”

You’ll start seeing matrices, not only as operations on numbers, but also as a way to transform vector spaces. This conception will give you the foundations needed to understand more complex linear algebra concepts like matrix decomposition. Originally from KDnuggets https://ift.tt/2OUQXEb source https://365datascience.weebly.com/the-best-data-science-blog-2020/essential-math-for-data-science-linear-transformation-with-matrices

While training the AI model, multi-stage activities are performed to utilize the training data in the best manner, so that outcomes are satisfying. So, here are the 6 common mistakes you need to understand to make sure your AI model is successful. Originally from KDnuggets https://ift.tt/3dleaZF source https://365datascience.weebly.com/the-best-data-science-blog-2020/6-mistakes-to-avoid-while-training-your-machine-learning-model