Author Archives: 365Data Science

A review outside the common datasets for Machine Learning When you being in the Machine Learning field, you usually use the common datasets such as MNIST, Iris, the 20 newsgroups, … But there are hundreds of rare and interesting datasets that can be found online. At Immune Technology Institute we have asked our teachers to create aContinue reading “A little bit of strange/interesting Datasets for Machine Learning”

An application programming interface (API) is a computing interface which defines interactions between multiple software intermediaries… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/whats-so-trendy-about-open-source-social-media-apis-that-everyone-went-crazy-over-it-983d9920135?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/whats-so-trendy-about-open-source-social-media-apis-that-everyone-went-crazy-over-it

Looking at data one way can tell one story, but sometimes looking at it another way will tell the opposite story. Understanding this paradox and why it happens is essential, and new tools are available to help automatically detect this tricky issue in your datasets. Originally from KDnuggets https://ift.tt/33AK4Ls source https://365datascience.weebly.com/the-best-data-science-blog-2020/what-is-simpsons-paradox-and-how-to-automatically-detect-it

In this article, we will look at the difference between generative and discriminative models, how they contrast, and one another. Originally from KDnuggets https://ift.tt/32FC9x6 source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-insiders-guide-to-generative-and-discriminative-machine-learning-models

Coursera’s Machine Learning for Everyone (free access) fulfills two different kinds of unmet learner needs, for both the technology side and the business side, covering state-of-the-art techniques, business leadership best practices, and a wide range of common pitfalls and how to avoid them. Originally from KDnuggets https://ift.tt/33H9Q0w source https://365datascience.weebly.com/the-best-data-science-blog-2020/courseras-machine-learning-for-everyone-fulfills-unmet-training-needs

Everybody knows how important is understanding your customer, but how to do that in an era of Information Overload? Originally from KDnuggets https://ift.tt/33F4HWO source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-effectively-obtain-consumer-insights-in-a-data-overload-era

Data Science the smart way: Regression — Part II Andreas Weiland on Unsplash We are continuing our series on Data Science the smart way. This series helps you to master data science smartly through questions which is beneficial for concept clearance and interview preparation. You can visit the first part of the blog here. We have discussed questions about theContinue reading “Data Science the smart way: RegressionPart II”

Example of Orthogonal Arrays and Experimental Designs in R Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/orthogonal-arrays-with-r-9ab13e65131b?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/orthogonal-arrays-with-r

About me I am a young data scientist just graduated, I love everything related to new technology and innovation, especially deep learning. This first article is the first in a series about NLP, computer vision, speech to text. Feel free to give me feedback, so that I can improve my work.Ps: You can also followContinue reading “Attention is all you need”

Can a do-it-all Data Scientist really be more effective at delivering new value from data? While it might sound exhausting, important efficiencies can exist that might bring better value to the business even faster. Originally from KDnuggets https://ift.tt/3hJWcyB source https://365datascience.weebly.com/the-best-data-science-blog-2020/unpopular-opinion-data-scientists-should-be-more-end-to-end