Machine learning models are chosen based on their mean performance, often calculated using k-fold cross-validation. The algorithm with the best…
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Big Data Performance Report
Enormous Waste—and Enormous Optimization Potential IT operations professionals operate in a challenging environment. They are expected to leverage highly complex…
Continue ReadingLOOCV for Evaluating Machine Learning Algorithms
The Leave-One-Out Cross-Validation, or LOOCV, procedure is used to estimate the performance of machine learning algorithms when they are used…
Continue ReadingA simple and interpretable performance measure for a binary classifier
By Mehmet Suzen, Theoretical Physicist and Research Scientist. The core application of machine learning models is a binary classification task.…
Continue ReadingIntel® Parallel Studio XE 2020: Transform Enterprise, Cloud, HPC & Artificial Intelligence with Faster Parallel Code
In this article we’ll drill down into the capabilities of Intel® Parallel Studio XE 2020, the latest release of a…
Continue ReadingPattern89 Introduces New Marketing AI Tools for Social Media Advertising Life Cycle
Pattern89, a marketing technology company revolutionizing social media marketing through artificial intelligence (AI), announced the launch of new tools to…
Continue ReadingFast-track Application Performance and Development with Intel® Performance Libraries
Sponsored Post Intel continues its strident efforts to refine libraries optimized to yield the utmost performance from Intel® processors. The…
Continue ReadingLagged Variable Regressions and Truth
Lagged Variable Regressions and TruthDynamic regression models offer vast representative power but also bias riskBen OgorekBlockedUnblockFollowFollowingJun 28Variables related to each other over…
Continue ReadingHow to Develop a Deep Convolutional Neural Network From Scratch for Fashion MNIST Clothing Classification
The Fashion-MNIST clothing classification problem is a new standard dataset used in computer vision and deep learning. Although the dataset…
Continue ReadingHow to Develop a Convolutional Neural Network From Scratch for MNIST Handwritten Digit Classification
The MNIST handwritten digit classification problem is a standard dataset used in computer vision and deep learning. Although the dataset…
Continue ReadingChidume Nnamdi ????????????????
Learn TensorFlow Fundamentals in 20 MinutesHow to start using TenforFlow for your Machine Learning…Improve React App Performance Through MemoizationAngular’s Equivalent of…
Continue ReadingModeling cumulative impact — Part II
To prepare for this question, Part II of Modeling Cumulative Impact develops a flexible spline-based model of training and performance.…
Continue ReadingHow to Improve Your Network Performance by Using Curriculum Learning
How to Improve Your Network Performance by Using Curriculum LearningVivianeBlockedUnblockFollowFollowingJan 7The idea of curriculum learning has already been proposed by…
Continue ReadingWhy Python is Popular Despite Being (Super) Slow
In this post, I will go through some main reasons for this. Why is Python Slow in Terms of Speed?Before diving…
Continue ReadingPerformance Measurement For Classification
Performance Measurement For ClassificationSrajan GuptaBlockedUnblockFollowFollowingJan 2Hi, Everybody. So this is my second post on Data Science and Machine Learning. This…
Continue ReadingHow to Create a Random-Split, Cross-Validation, and Bagging Ensemble for Deep Learning in Keras
It is likely that there will be a point of diminishing returns, after which the addition of further members no…
Continue Reading“Trust the process?” How online sports communities are shaped by the offline context
We study the interaction between team performance and fan behavior both at the game level and at the season level.User…
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