Category Archives: Data Science News

In the 80’s and 90’s, governments held the keys to the world’s data — data that could inform policy decisions, programmatic responses, and help researchers understand the world. Now private companies hold the keys to most of the world’s data. At the same time, social networking platforms have a credibility crisis with the external research and policyContinue reading “The Mathematics of Privacy”

This article will introduce five areas of machine learning that are receiving a lot of attention and how they are already changing the… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/5-ai-technologies-that-are-reshaping-social-infrastructure-fbde86581f35?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/5-ai-technologies-that-are-reshaping-social-infrastructure

Also: Peer Reviewing Data Science Projects; Visualizing Decision Trees with Python (Scikit-learn, Graphviz, Matplotlib); Can Java Be Used for Machine Learning and Data Science?; Mathematics for Machine Learning: The Free eBook; 24 Best (and Free) Books To Understand Machine Learning Originally from KDnuggets https://ift.tt/3cvRxye source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-apr-13-19-can-java-be-used-for-machine-learning-and-data-science-how-deep-learning-is-accelerating-drug-discovery-in-pharmaceuticals

In this article, we introduce 5 papers on CNNs that represent both novel approaches and baselines in the field. Originally from KDnuggets https://ift.tt/2VkEkCy source https://365datascience.weebly.com/the-best-data-science-blog-2020/5-papers-on-cnns-every-data-scientist-should-read

OpenAI research shows a phenomenon that challenges both traditional statistical learning theory and conventional wisdom in machine learning practitioners. Originally from KDnuggets https://ift.tt/2VqGzod source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-double-descent-hypothesis-how-bigger-models-and-more-data-can-hurt-performance

Many AI models rely on historical data to make predictions on future behavior. So, what happens when consumer behavior across the planet makes a 180 degree flip? Companies are quickly seeing less value from some AI systems as training data is no longer relevant when user behaviors and preferences change so drastically. Those who areContinue reading “4 Steps to ensure your AI/Machine Learning system survives COVID-19”

How to Humanize Your AI? Source Given the popularity of Conversational AI, today’s tech companies developed their own ‘Digital Assistants’ by building a human-in-the-loop annotation tool that collects conversational data between human-beings and machines. To that end, they are involved in the development and continuous learning of pre-trained ML models by allowing human annotators to playContinue reading “How to Humanize You”

Ever since different technologies like Machine Learning emerged, we have seen a staggering improvement in the way things operate around us. Machine Learning has been found useful across different segments, and companies are using the same to come up with innovative products and ideas that will help you in making the best in the business.Continue reading “Google Duo Uses Machine Learning Algorithms To Improve Call Quality”

LONG SHORT TERM MEMORY: Understanding of LSTM can be a bit challenging, I recommend you to take one step at a time and move to next part only when you are comfortable with the previous one. By the end of this article you will have a good understanding of LSTM and when they should be preferredContinue reading “LONG SHORT TERM MEMORY: PART 1”

A step by step guide to enable and use visual debugging in Jupyter in a docker container. Originally from KDnuggets https://ift.tt/3bcVkAh source https://365datascience.weebly.com/the-best-data-science-blog-2020/dockerize-jupyter-with-the-visual-debugger