Category Archives: Data Science News

On March 8, 2021, Stanford will host the inaugural 24-hour virtual Women in Data Science (WiDS) Worldwide conference. Find out speaker and registration information here. Originally from KDnuggets https://ift.tt/3r43Ysq source https://365datascience.weebly.com/the-best-data-science-blog-2020/celebrate-international-womens-day-at-the-women-in-data-science-wids-worldwide-virtual-conference

Mastery of the mathematics and applications of this intuitive statistical concept will advance your credibility as a decision maker. Originally from KDnuggets https://ift.tt/3alV3f3 source https://365datascience.weebly.com/the-best-data-science-blog-2020/3-ways-understanding-bayes-theorem-will-improve-your-data-science

Deep Learning Problems in Robotics When data scientists talk about Deep Learning, they’re usually speaking about image generation, detection, classification and regression tasks. Still, the thing that deep learning and artificial intelligence are getting vastly used for is in the field of robotics, and solving some its most significant challenges. It is deep learning for computerContinue reading “How Can New Deep Learning Initiatives Overcome Challenges in Robotics?”

Machine learning is the study of computer algorithms that improve automatically through experience. It is seen as a part of artificial… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/top-5-machine-learning-projects-to-boost-your-datascience-project-d8c98987dfef?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-5-machine-learning-projects-to-boost-your-datascience-project

2021 is gearing up to be a huge year. These are the biggest trends to watch in Machine Learning and Data. Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/data-machine-learning-trends-to-watch-in-2021-dea9e2c4de62?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/datamachine-learning-trends-to-watch-in-2021

If you are the “data person” for your organization, then providing meaningful results to stakeholder data requests can sometimes feel like shots in the dark. However, you can make sure your data analysis is actionable by asking one magic question before getting started. Originally from KDnuggets https://ift.tt/2YvtsCG source https://365datascience.weebly.com/the-best-data-science-blog-2020/one-question-to-make-your-data-project-10x-more-valuable

The method expands the concept of a Nash equilibrium by decomposing an asymmetric game into multiple symmetric games. Originally from KDnuggets https://ift.tt/3j8xla0 source https://365datascience.weebly.com/the-best-data-science-blog-2020/beyond-the-nash-equilibrium-deepmind-clever-strategy-to-solve-asymmetric-games

Understanding future technology trends may never have been as important as it is today. Check out the prediction of the 10 technology trends in 2021 from Baidu Research. Originally from KDnuggets https://ift.tt/36o5OMQ source https://365datascience.weebly.com/the-best-data-science-blog-2020/baidu-research-10-technology-trends-in-2021

Automated machine learning is the process of automating the process of applying machine learning to real-world problems. AutoML covers the… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/top-5-unknown-automated-machine-learning-automl-repository-on-github-to-help-you-through-your-9dcb3c6fc62e?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-5-unknown-automated-machine-learning-automl-repository-on-github-to-help-you-through-your

I’ve always loved music, and I’ve always loved math. In the last 15 years, I’ve been fortunate enough to work in the music industry in a number of capacities; first, as a musician and performer, and later, as a freelance sound designer, producer, and audio engineer. But in that time, I largely ignored the sideContinue reading “The Bridge Between Music and Machine Learning”