AI and the Fallacy Of Equality
Author(s): Dr. Adam Hart How AI researchers and practitioners should scrutinize themselves for a better future. Continue reading on Towards AI Β» Published via Towards AI …
Tackle COVID detection with Lightning Flash and IceVision
Last Updated on October 9, 2021 by Editorial Team Author(s): γ€γ«γ« Borovec Illustration photo by LinkedIn Sales Navigator fromΒ Pexels. Deep Learning Tackling the Kaggle COVID Detection Challenge with Lightning Flash and IceVision This post walks through how we approached the Kaggle SIIM-FISABIO-RSNA …
Future of Data Science: Machine Learning or Artificial intelligence
Author(s): Gaurav Sharma Data Science Image by: javapoint When we think about the future of AI, we could picture highly sophisticated robots that can imitate humans so effectively that they are indistinguishable from people. True, artificial intelligenceβs capacity to swiftly learn, process, …
18 Best Data Science Podcasts on SoundCloud, Apple Podcasts, and Spotify
Author(s): Gaurav Sharma Data Science Image byΒ MAZ Every day, my journey to work takes around an hour (+/- 15 minutes depending on the day). Iβm quite sure I listen to a lot of podcasts. True Crime, NFL Fantasy Football, Major League Baseball, …
Integrating Human-in-the-Loop (HITL) in machine learning is a necessity, not a choice. Hereβs why?
Author(s): Supriya Ghosh Originally published on Towards AI. Machine Learning Source β Picture by Andy Kelly on Unsplash To integrate, Human-in-the-Loop (HITL) in Machine Learning, first and foremost is understanding HITL, its need, benefits, and approaches. What is Human-in-the-Loop (HITL)? Human-in-the-Loop (HITL) …
Can You Master Everything?
Author(s): Himanshu Tripathi A Random dose of Knowledge about Machine learning, Deep Learning, Data Science and More…… Continue reading on Towards AI Β» Published via Towards AI …
Dimensional ReductionβββFeature Selection Part 1
Author(s): Himanshu Tripathi Feature Selection is the process in which we try to reduce the number of features and finding only the relevant feature which is good…………… Continue reading on Towards AI Β» Published via Towards AI …
Integrating Human-in-the-Loop (HITL) in machine learning application is a necessity not a choice.
Author(s): Supriya Ghosh Machine Learning Integrating Human-in-the-Loop (HITL) in machine learning is a necessity, not a choice. HereβsΒ why? SourceβββPicture by Andy Kelly onΒ Unsplash To integrate, Human-in-the-Loop (HITL) in Machine Learning, first and foremost is understanding HITL, its need, benefits, and approaches. What …
Dimensional Reduction β Feature Selection Part 1
Author(s): Himanshu Tripathi Originally published on Towards AI. Letβs learn about Dimensionality Reduction This member-only story is on us. Upgrade to access all of Medium. Photo by Edu Grande on Unsplash In the previous article, we learned about what is Dimensional Reduction …
6 Types of AI Bias Everyone Should Know
Author(s): Ed Shee Originally published on Towards AI. Fairness In my previous blog, we looked at the difference between Bias, Fairness, and Explainability in AI. I included a high-level view of what Bias is but this time weβll go into more detail. …
6 Types of AI Bias Everyone Should Know
Author(s): Ed Shee Fairness In my previous blog, we looked at the difference between Bias, Fairness, and Explainability in AI. I included a high-level view of what Bias is but this time weβll go into moreΒ detail. Bias appears in machine learning in …
Getting the Right Data for Clinical Evaluation Reports: An AI-Powered Approach
Author(s): Gaugarin Oliver Artificial Intelligence Suppose youβre a medical device maker with any presence (sales, operational, or otherwise) in the European Union (EU). In that case, you likely already know the EU MDRβββa regulatory regime with more stringent requirements for clinical evidence …
Exploring Google Images To Search For Data Science Content
Author(s): Angelica Lo Duca Some tips on how to improve your search strategies on Google Continue reading on Towards AI Β» Published via Towards AI …
OpenAI Threw Resources at Book Summarization Task (Paper Review/Explained)
Author(s): Ala Alam Falaki Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Explain the βRecursively Summarizing Books with Human Feedbackβ paper and its effectiveness. Photo by MikoΕaj on Unsplash You might be familiar …
OpenAI Threw Resources on Book Summarization Task (Paper Review/Explained)
Author(s): NLPiation Explain and Review the questionable “Recursively Summarizing Books with Human Feedback” paper and its effectiveness. Continue reading on Towards AI Β» Published via Towards AI …
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