From Centralized to Federated Learning
A summary of dataset distribution techniques for Federated Learning on the CIFAR benchmark dataset Federated Learning (FL) is a method to train Machine Learning (ML) models in a distributed setting … Read more
A summary of dataset distribution techniques for Federated Learning on the CIFAR benchmark dataset Federated Learning (FL) is a method to train Machine Learning (ML) models in a distributed setting … Read more
Introduction to DuckDB and its Python integration Photo by Krzysztof Niewolny on Unsplash We, programmers, tend to default to SQLite when we want to work on local environments with an … Read more
A review of recent trends, use cases and technologies Photo by Nghia Le on Unsplash Everyone is talking about machine learning. And this is not just a feeling: if you … Read more
How can salt help you with experiments? Photo by Manuel Asturias on Unsplash AB testing is one of the most well-known methods to measure the effect of new features’ implementation. … Read more
[This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on … Read more
Deploy XGBoost models on Amazon ECS to recommend perfect puppies Photo by Carissa Weiser on Unsplash With the wild success of ChatGPT it is becoming apparent just how much AI … Read more
PYTHON | PROGRAMMING | FEATURES Take your coding skills to the next level with these cool hidden Python features Photo by Emile Perron on Unsplash Python is a marvellous programming … Read more
Leveraging Google Cloud to increase the relative forecasting accuracy by 43% over custom models trained by the Coop team can significantly affect the retailer’s supply chain. By taking this POC … Read more
The 21st century has been marked by a series of global crises – from environmental degradation and pandemics to economic instability and political unrest. As we hurtle forward towards the … Read more
Could help to blend machine learning with classical approaches to sciences and engineering, by providing more interpretable models rooted in fundamental concepts Figure created by the author by combining different … Read more
My MLOps tutorials: [I will be updating this list as I publish articles on the subject] In the previous tutorial, we defined MLOps as a way to design, build, and … Read more
Easily train a Robotic Manipulator to avoid obstacles by using the robotic-maninpulator-rloa framework Photo by David Levêque on Unsplash The purpose of this article, beyond explaining how to train a … Read more
This is the fourth part of my Pandas & Python Tricks Photo by Andrew Neel on Unsplash A couple of days ago, I shared some Python and Pandas tricks to … Read more
How to considerable reduce training time changing only 1 line of code Photo by Markus Winkler on Unsplash Introduction With the Intel® Extension for Scikit-learn package (or sklearnex, for brevity) … Read more
[This article was first published on DataGeeek, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? … Read more
[This article was first published on R on Nicola Rennie, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your … Read more
Amazon Kendra is an intelligent search service powered by machine learning, enabling organizations to provide relevant information to customers and employees, when they need it. Starting today, AWS customers can … Read more
Start Your Coding for Computer vision with Python Photo by Dan Smedley on Unsplash Motivation We, human beings, perceive the environment and surroundings with our vision system. The human eye, … Read more
Discover the power of Calibration Curves, Gain and Lift Plots, and more in the latest version of binclass-tools —your ultimate solution for binary classification problems! (image from Unsplash) The binclass-tools … Read more
Scalable and equivariant spherical CNNs by DISCO convolutions No existing spherical convolutional neural network (CNN) framework is both computationally scalable and rotationally equivariant. Continuous approaches capture rotational equivariance but are … Read more
[This article was first published on Rtask, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? … Read more
Behind the Hype — Understanding what ChatGPT can do and what it cannot do, is critical to make the most of the technology. A recent research paper from the Center … Read more
Please share your background and your involvement in the RUGS group or in the R Community. Currently, I hold the position of Data Scientist at Pixartprinting, a Cimpress company. I’m … Read more
This new default session length rollout helps our customers gain situational awareness of their security posture. It ensures that customers did not mistakenly grant infinite session length to users or … Read more
Photo by Aswathy N on Unsplash MLOps and Data Engineering Introduction: MLOps, or Machine Learning Operations, refers to the set of practices that streamline the development, deployment, and maintenance of … Read more
How location-enriched tracebacks facilitate the debugging experience in Python 3.11 Photo by Mohamed Hassan on Pixabay In Python, a traceback is a report that is displayed when an exception occurs, … Read more
With the aid of convolutional neural networks and transfer learning, it is possible to build a classifier in determining whether solar panels are clean or dusty Photo by Moritz Kindler … Read more
Systematically resolve data issues in production Photo by Pavan Trikutam on Unsplash At any company, one of the best ways to gain and retain customers is to deliver excellent services, … Read more
A quick and simple demo for running DAGs on Airflow Photo by Kelly Sikkema on Unsplash Apache Airflow is quite popular in the data science and data engineering space. It … Read more
Opinion Is GPT-4 the next big step in AI we were all waiting for? Image generated by Stable Diffusion Today, I woke up, and the hashtag #gpt-4 was trending on … Read more
TDS Special Feature Expanding cities and a shrinking countryside Image from Unsplash, created by Louis Reed Are you a city dweller? You’re not alone! Our global urban population has reached … Read more
Cyberattacks continue to rise across businesses of all sizes as attackers are adapting their techniques and increasing the complexity of their operations.1 The risk of these attacks is significant for … Read more
A long-time ago, in the midst of a global pandemic, I launched the first online version of my ‘R Programming for Policy Analysis’ course with a motley crew of consultants, … Read more
[This article was first published on R by R(yo), and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content … Read more
We are excited to announce the launch of the updated Amazon GameLift console experience to help customers more intuitively and efficiently manage and scale their game servers. Amazon GameLift is a fully … Read more
Deterministic trends vs stochastic trends, and how to deal with them Photo by Ali Abdul Rahman on Unsplash Detecting and dealing with the trend is a key step in the … Read more
How to “boost” your cyclical sales data forecast with LightGBM and Python Hierarchical time series forecasting (Image drawn by the author) Welcome to another edition of “The Kaggle Blueprints,” where … Read more
An overview of the research landscape combining structured and unstructured knowledge in NLP Photo by Billy Huynh on Unsplash This post is based on our AACL-IJCNLP 2022 paper “A Decade … Read more
If you don’t have real data, you got to fake it! Photo by Leif Christoph Gottwald on Unsplash In the world of data analytics, getting your hands on a good … Read more
From a digital elevation model to a 3D mesh Photo by Planet Volumes on Unsplash 3D meshes can be used to represent geographic data such as terrain, buildings and other … Read more
Mastering Time Series Forecasting with Machine Learning How your choice of loss function can make or break your time series forecasts Photo by Dan Asaki on Unsplash In this post … Read more
How to reduce the offline-online evaluation gap A recommender system jumping through the offline-online evaluation gap (AI-generated image) In this tutorial, I will give some rationales about why one should … Read more
A method for well-distributed approximation of the Pareto front Image generated by author with DALL-E by OpenAI Multi-objective optimization is a critical area of research that has wide-ranging applications in … Read more
Infrastructure as Code With Terraform Image from Unsplash by Krishna Pandey Infrastructure as Code (IaC) is an essential concept to optimize and take your resources and infrastructure to production. IaC … Read more
Data Science Get the Most Out of Your Data with These Simple and Effective Pandas Visualization Techniques Photo by Choong Deng Xiang on Unsplash Data visualization is an important aspect … Read more
Test Effectiveness of any Treatment over Time with PCA Photo by Raul Petri on Unsplash The standard, presented in the literature and adopted at large scale by companies, to study … Read more
Tomorrow marks the beginning of the second annual ShinyConf 2023 by Appsilon! ShinyConf aims to achieve three main objectives: showcasing recent advancements in R Shiny technology, promoting community engagement among … Read more
A step-by-step guide to develop a map-based application (Part IV) Photo by Caspar Camille Rubin on Unsplash Maps are a powerful tool for visualizing and understanding geographic data but they … Read more
Join Microsoft at NVIDIA GTC, a free online global technology conference (GTC), March 20 to 23 to learn how organizations of any size can power AI innovation with purpose-built cloud … Read more
Creating the artifacts and deploying the model on the cluster In part 1, we learned how to use terraform to set up and manage our infrastructure conveniently. In this part, … Read more