Remove 2016 Remove Analytics Remove Exploratory Data Analysis
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Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. Fantasy Football is a popular pastime for a large amount of the world, we gathered data around the past 6 seasons of player performance data to see what our community of data scientists could create.

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How to tackle lack of data: an overview on transfer learning

Data Science Blog

Presumably due to this fact, Andrew Ng, in his presentation in NeurIPS 2016, gave a rough and abstract predictions of how transfer learning in machine learning would make commercial success like white lines in the figure below. “Shut up and annotate!” ” could be often the best practice in practice.

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Unveiling Market Dynamics: Winners of the Google Trends Analysis and Predictive Modeling

Ocean Protocol

Let’s explore the top three submissions that stood out due to their thorough analytics and insightful conclusions. Top 10 1st Place: Anamaria Anamaria secured first place in the “Google Trends” Data Challenge by applying advanced ML techniques to analyze the correlation between Google Trends data and cryptocurrency prices.

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The effectiveness of clustering in IIoT

Mlearning.ai

With the emergence of data science and AI, clustering has allowed us to view data sets that are not easily detectable by the human eye. Thus, this type of task is very important for exploratory data analysis. 1207–1221, May 2016, doi: 10.1109/JSAC.2016.2545384. 2016.2545384. BECOME a WRITER at MLearning.ai