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Author: Charles Durfee

Computer Science student with a passion for data science and artificial intelligence.
Machine Learning Posted onFebruary 13, 2020

One-Class Classification Algorithms for Imbalanced Datasets

Author: Jason Brownlee Outliers or anomalies are rare examples that do not fit in with the rest of the data. Identifying outliers in data is […] Read More

Data Science Posted onFebruary 13, 2020

Top KDnuggets tweets, Feb 05-11: #SciPy 1.0: fundamental algorithms for scientific computing in #Python; Why is Data Science so popular?

Author: Gregory PS Editor Why is Data Science so Popular?; Visual Paper Summary: ALBERT (A Lite BERT); Uber Has Assembled One of the Most Impressive […] Read More

Machine Learning Posted onFebruary 13, 2020

“Sensorized” skin helps soft robots find their bearings

Author: Rob Matheson | MIT News Office For the first time, MIT researchers have enabled a soft robotic arm to understand its configuration in 3D […] Read More

Machine Learning Posted onFebruary 12, 2020

Petition to allow remote paper & poster presentations at conferences

Author: /u/MTGTraner submitted by /u/MTGTraner [link] [comments] Go to Source

Data Science Posted onFebruary 12, 2020

Top January Stories: How to land a Data Scientist job at your dream company; I wanna be a data scientist, but … how?

Author: Gregory Piatetsky Also: The Book to Start You on Machine Learning; Top 5 must-have Data Science skills for 2020. Go to Source

Data Science Posted onFebruary 12, 2020

An Argument in Favor of Centaur AI

Author: William Vorhies Summary:  Centaur AI is the best marriage of the machine’s ability to remember, analyze, and detect issues along with the human’s intuition […] Read More

Yena Han (left) and Tomaso Poggio stand with an example of the visual stimuli used in a new psychophysics study. Photo: Kris Brewer
Machine Learning Posted onFebruary 11, 2020February 14, 2020

Bridging the gap between human and machine vision

Yena Han (left) and Tomaso Poggio stand with an example of the visual stimuli used in a new psychophysics study. Photo: Kris Brewer

Machine Learning Posted onFebruary 11, 2020

Bagging and Random Forest for Imbalanced Classification

Author: Jason Brownlee Bagging is an ensemble algorithm that fits multiple models on different subsets of a training dataset, then combines the predictions from all […] Read More

Data Science Posted onFebruary 11, 2020

Observability for Data Engineering

Author: mtdearing Going beyond traditional monitoring techniques and goals, understanding if a system is working as intended requires a new concept in DevOps, called Observability. […] Read More

Machine Learning Posted onFebruary 11, 2020

A new model and dataset for long-range memory

Author: This blog introduces a new long-range memory model, the Compressive Transformer, alongside a new benchmark for book-level language modelling, PG19. We provide the conceptual […] Read More

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