[unable to retrieve full-text content]By dropping ‘Hadoop’ from its name, the @strataconf 2018 in San Jose signaled the emphasis on machine learning, cloud, streaming and real-time applications.
Original Post: Key Takeaways from the Strata San Jose 2018
[unable to retrieve full-text content]In this post, I am going to verify this statement using a Principal Component Analysis ( PCA ) to try to improve the classification performance of a neural network over a dataset.
Original Post: Dimensionality Reduction : Does PCA really improve classification outcome?
[unable to retrieve full-text content]Get best practices on incorporating machine learning to automate your fraud prevention process and optimize workflows. Download this free ebook now.
Original Post: New eBook: Machine Learning for Fraud Prevention
[unable to retrieve full-text content]This post gives a personal insight into what Minimum Viable Product means for Machine Learning and the importance of starting small and iterating.
Original Post: What is Minimum Viable (Data) Product?
[unable to retrieve full-text content]Machine learning has huge potential for the future of humanity — but it won’t solve all our problems.
Original Post: AI Solutionism
[unable to retrieve full-text content]Also: Analyze a Soccer (Football) Game Using #Tensorflow Object Detection; 18 Inspiring Women In AI, Big Data, Data Science, Machine Learning; Timsort – the fastest #sorting #algorithm you’ve never heard of.
Original Post: Top KDnuggets tweets, Jul 4-10: Fantastic notes on the freely available @fastdotai machine learning course
[unable to retrieve full-text content]Almost 2 months on from the GDPR introduction, how was machine learning affected? What does the future hold?
Original Post: GDPR after 2 months – What does it mean for Machine Learning?
[unable to retrieve full-text content]Coming soon: ICDM/MLDM New York, Data Innovation Summits Las Vegas, ICML Stockholm, IJCAI/ECAI Stockholm, TDWI Anaheim, KDD-2018 London, JupyterCon NYC, and many more.
Original Post: Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: July and Beyond
[unable to retrieve full-text content]With the arrival of the GDPR there has been increased focus on non-discrimination in machine learning. This post explores different forms of model bias and suggests some practical steps to improve fairness in machine learning.
Original Post: Weak and Strong Bias in Machine Learning
[unable to retrieve full-text content]This posts is a collection of a set of fantastic notes on the fast.ai machine learning MOOC freely available online, as written and shared by a student. These notes are a valuable learning resource either as a supplement to the courseware or on their own.
Original Post: fast.ai Machine Learning Course Notes