Category Archives: Data Science News

Certain industries, such as medicine and finance, are sensitive to false positives. Using human input in the model inference loop can increase the final precision and recall. Here, we describe how to incorporate human feedback at inference time, so that Machines + Humans = Higher Precision & Recall. Originally from KDnuggets https://ift.tt/2Qq55WF source https://365datascience.weebly.com/the-best-data-science-blog-2020/improving-model-performance-through-human-participation

Isn’t it about time we get past intents? If you have ever developed a Conversational AI agent using NLU, you know how often users don’t follow the happy path. They may say or type responses that make perfect sense however their responses still fall outside of any intent. For example, if a user asks about a refund, byContinue reading “How Rasa NLU is moving past Intents”

Check out this curated list of the best data science books for any level. Originally from KDnuggets https://ift.tt/3v5O8j0 source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-science-books-you-should-start-reading-in-2021

Edge cases occur for three basic reasons: Bias – the ML system is too ‘simple’; Variance – the ML system is too ‘inexperienced’; Unpredictability – the ML system operates in an environment full of surprises. How do we recognize these edge cases situations, and what can we do about them? Originally from KDnuggets https://ift.tt/3ncJixN sourceContinue reading “The Three Edge Case Culprits: Bias Variance and Unpredictability”

The novel approach combines GANs and cryptography in a single, powerful security method. Originally from KDnuggets https://ift.tt/3sCTGjb source https://365datascience.weebly.com/the-best-data-science-blog-2020/what-is-adversarial-neural-cryptography

Fifty-eight blogs/videos to enter Deep Learning with TensorFlow ( along with 8 memes to keep you on track ) Photo by Pauline Loroy on Unsplash Deep Learning could be super fascinating if you’re already in love with other ML algorithms. DL is all about huge neural networks, with numerous parameters, different layers which perform specific tasks. This checklistContinue reading “58 Resources To Help Get Started With Deep Learning ( In TF )”

access to mentorship, funding, and experts Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/startup-incubations-accelerators-for-ai-startups-a3e78534c28a?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/startup-incubations-accelerators-for-ai-startups

IDP Vendor Landscape Update December 2020: Holy smokes we’ve reached 46 IDP solutions on the landscape. In this update, we’re adding 13 more IDP vendors/solutions to the list. These are IDP vendors that we get questions about as enterprises and partners try to figure out what’s what and who’s who. Remember, if you need help navigatingContinue reading “Who Are The Top Intelligent Document Processing (IDP) Vendors?”

Understanding the process of A/B testing and knowing how to discuss this approach during data science job interviews can give you a leg up over other candidates. This mock interview provides a step-by-step guide through how to demonstrate your mastery of the key concepts and logical considerations. Originally from KDnuggets https://ift.tt/3sCsRvv source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-ace-ab-testing-data-science-interviews

New to data science? Interested in the must-know machine learning algorithms in the field? Check out the first part of our list and introductory descriptions of the top 10 algorithms for data scientists to know. Originally from KDnuggets https://ift.tt/3elDP3u source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-10-must-know-machine-learning-algorithms-for-data-scientists-part-1