Author Archives: 365Data Science

The new typed feature schema streamlined the reusability of features across thousands of machine learning models. Originally from KDnuggets https://ift.tt/2Wn2RaU source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-architecture-used-at-linkedin-to-improve-feature-management-in-machine-learning-models

Also: Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs; The Super Duper NLP Repo: 100 Ready-to-Run Colab Notebooks; Five Cool Python Libraries for Data Science. Originally from KDnuggets https://ift.tt/2xLTA2x source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-april-stories-mathematics-for-machine-learning-the-free-ebook

As can be common in many technical fields, the landscape of specialized roles is evolving quickly. With more people learning at least a little machine learning, this could eventually become a common skill set for every software engineer. Originally from KDnuggets https://ift.tt/2yE4W99 source https://365datascience.weebly.com/the-best-data-science-blog-2020/will-machine-learning-engineers-exist-in-10-years

1. Project Overview: In this project, we will try to predict the possibility of a booking for a hotel based on different factors and also try to predict if they need special requests based on different features. The data set contains booking information for a city hotel and a resort hotel, and includes information suchContinue reading “Hotel Booking Demand Project Using Different Models”

Artificial Intelligence in Manufacturing Source Even the initial concerns about Artificial Intelligence (AI) have not slowed its adoption. Experts say that some companies are already taking advantage and that companies that do not adopt new technology cannot compete over time. However, AI adoption seems to be slowing down despite early successful case studies. Why are AIContinue reading “How to Fit Artificial Intelligence into Manufacturing”

As more and more businesses, organizations, and companies are waking up to the importance of extracting important insights from the pile of data that they are sitting on, the demand for data scientists, data engineers, and other experts in the field has increased significantly. Source The domain of data science has been at the focalContinue reading “What are the differences between data scientist and data engineer?”

I realized that from a corporate perspective, “fortune teller” was not entirely off from the role of a “data scientist”. Originally from KDnuggets https://ift.tt/2yDvgjL source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-scientists-corporate-fortune-tellers

With time-series decomposition, we were able to infer that the consumers were waiting for the highest sale of the year rather than buying up-front. Originally from KDnuggets https://ift.tt/2zoxtzK source https://365datascience.weebly.com/the-best-data-science-blog-2020/forecasting-stories-3-each-time-series-component-sings-a-different-song

Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function. Originally from KDnuggets https://ift.tt/2WBKFsL source https://365datascience.weebly.com/the-best-data-science-blog-2020/5-concepts-you-should-know-about-gradient-descent-and-cost-function