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How To Deal With Imbalanced Classification, Without Re-balancing the Data - KDnuggets

www.kdnuggets.com | 10 min read | listed 2 days ago in KDnuggets

Before considering oversampling your skewed data, try adjusting your classification decision threshold, in Python.

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Real-Time Histogram Plots on Unbounded Data - KDnuggets

www.kdnuggets.com | 7 min read | listed 1 day ago in Machine Learning, Data Science, Big Data, Analytics, AI

Using histograms on real-time data is not possible in most of the popular data science libraries. In this article you will learn how dynamically compute and display a histogram within a Python notebook.

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Underfitting and Overfitting with Python Examples | by Amit Chauhan | Sep, 2021 | Towards AI

pub.towardsai.net | 5 min read | listed 2 days ago in Towards AI

Improving machine learning algorithm performance

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Linear programming with Python and Julia | by Himalaya Bir Shrestha | Sep, 2021 | Towards Data Science

towardsdatascience.com | 7 min read | listed 2 days ago in Towards Data Science

“True optimization is the revolutionary contribution of modern research to decision processes.” — George Dantzig

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Beginner’s Guide to UMAP for Reducing Dimensionality and Visualizing 100-dimensional Datasets | Towards Data Science

towardsdatascience.com | 7 min read | listed 2 days ago in Data Science - Topic feed @ Medium

Create breathtaking visuals and “see” your data

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How to Install Apache Kafka Using Docker — The Easy Way | by Dario Radečić | Sep, 2021 | Towards Data Science

towardsdatascience.com | 6 min read | listed 2 days ago in Data Science - Topic feed @ Medium

And how to create your first Kafka Topic. Video guide available.

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Building a Machine Learning Model for Title Generation

www.analyticsvidhya.com | 8 min read | listed 1 day ago in Analytics Vidhya

In this article we will develop a deep learning model for title generation. for the task we will be using youtube trends dataset.

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Mathematical Statistics: Mathematical Justifications for Maximum Likelihood Estimation | by Andrew Rothman | Sep, 2021 | Towards Data Science

towardsdatascience.com | 2 min read | listed 2 days ago in Data Science - Topic feed @ Medium

Specification and Derivations of Connections between Total Variation, KL Divergence, and MLE

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Clustering and Parkinson's Patients During Covid-19 | by Christabelle Pabalan | Sep, 2021 | Towards Data Science

towardsdatascience.com | 5 min read | listed 1 day ago in Data Science - Topic feed @ Medium

Discovering subgroups of Parkinson’s patients during Covid-19 to perform a detailed analysis of the ways potential subgroups within the…

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Explore image analysis results from Amazon Rekognition and store your findings in Amazon DocumentDB | AWS Machine Learning Blog

aws.amazon.com | 15 min read | listed 2 days ago in Amazon AWS AI Blog

When we analyze images, we may want to incorporate other metadata related to the image. Examples include when and where the image was taken, who took the image, as well as what is featured in the image. One way to represent this metadata is to use a JSON format, which is well-suited for a document […]

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Taking Keras and TensorFlow to the Next Level | by Ygor Serpa | Sep, 2021 | Towards Data Science

towardsdatascience.com | 10 min read | listed 1 day ago in Data Science - Topic feed @ Medium

11 tips and tricks to make the most out of Keras and TensorFlow

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Tuning Hyperparameters with Reproducible Experiments | by ODSC - Open Data Science | Sep, 2021 | Medium

medium.com | 7 min read | listed 1 day ago in #ODSC - The Data Science Community – Medium

Editor’s note: Milecia McGregor is a speaker for ODSC West 2021. Be sure to check out her talk, “Tuning Hyperparameters with Reproducible…

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Making Pytorch Transformer Twice as Fast on Sequence Generation. - Scale

scale.com | 8 min read | listed 2 days ago in reddit/MachineLearning/[D] Transformer sequence generation - is it truly quadratic scaling?

How the machine learning team at Scale AI improved Pytorch Transformer architecture on sequence generation.

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Data Analysis Using Scala - KDnuggets

www.kdnuggets.com | 3 min read | listed 1 day ago in Machine Learning, Data Science, Big Data, Analytics, AI

It is very important to choose the right tool for data analysis. On the Kaggle forums, where international Data Science competitions are held, people often ask which tool is better. R and Python are at the top of the list. In this article we will tell you about an alternative…

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SHAP: Explain Any Machine Learning Model in Python | by Khuyen Tran | Sep, 2021 | Towards Data Science

towardsdatascience.com | 7 min read | listed 2 days ago in European Media Monitor - Machine Learning

A Comprehensive Guide to SHAP and Shapley Values

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How to Start Contributing to Open-Source as a Beginner

www.analyticsinsight.net | 5 min read | listed 2 days ago in Analytics Insight

Here are 5 tips for getting started as an open-source contributor – even if you’re a total beginner. One way to do that is to get programming experience beyond the classroom and corporate world. And this is where open-source projects come in. Supported by volunteers, they’re always open to newcomers.

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Understanding Machine Learning Models Better with Explainable AI | by Devashree Madhugiri | Sep, 2021 | Towards Data Science

towardsdatascience.com | 4 min read | listed 2 days ago in Machine Learning - Topic feed @ Medium

Building an interactive dashboard in few lines of code with ExplainerDashboard

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A Comprehensive Guide to Maximum Likelihood Estimation and Bayesian Estimation - Analytics India Magazine

analyticsindiamag.com | 7 min read | listed 1 day ago in Analytics India Magazine | Artificial Intelligence & Data Science stories

Maximum Likelihood Estimation and Bayesian Estimation are two estimation function which have very slight differences and different usage

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Simulating Mancala: What happens when I push this game to its limits? | by Jake Mitchell | Sep, 2021 | Towards Data Science

towardsdatascience.com | 5 min read | listed 2 days ago in Data Science - Topic feed @ Medium

Using MATLAB, I simulated 100,000 Mancala games to see what would happen. Here are the results:

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An Introduction To ROS — Part 4.1 | by Humanity Inc | Sep, 2021 | Medium

medium.com | 10 min read | listed 1 day ago in Artificial Intelligence - Topic feed @ Medium

A high level overview of the architecture and applications of ROS

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Pricing  |  Cloud TPU  |  Google Cloud

cloud.google.com | 6 min read | listed 2 days ago in reddit/MachineLearning/[D] Fine-tuning GPT-J: lessons learned

Review pricing for Cloud TPU

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Analyze Your Investments With 4 Basics of Stats | DataDrivenInvestor

medium.datadriveninvestor.com | 11 min read | listed 1 day ago in Data Science - Topic feed @ Medium

An in-depth look at the four moments of probability distributions and how they apply to quantitative finance.

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How to write good job descriptions - interviewing.io blog

blog.interviewing.io | 1 min read | listed 2 days ago in interviewing.io blog - better interviewing (and hiring) through data

When writing a job description, ask yourself: Am I trying to attract the right people or keep out the wrong people? It's impossible to do both.

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Who Should Deploy My Data Science Models?

blog.dataiku.com | 5 min read | listed 1 day ago in Blog - Dataiku

How is deploying a new data science model in production like installing a new light bulb? And whose responsibility is it? Find out here.

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How to Set Up a Common Lisp IDE in 2021 | by Gwang Jin Kim | Aug, 2021 | Towards Data Science

towardsdatascience.com | 10 min read | listed 2 days ago in Towards Data Science

Start with Common Lisp quickly in Ubuntu using Roswell

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