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Deploy a Machine Learning Model in Seconds
Editor’s note: Abubakar Abid, PhD is a speaker for ODSC West this November 1st-3rd. Be sure to check out his talk, “A Practical Tutorial on Building Machine Learning Demos with Gradio,” there! Several years ago, when I built my first machine learning model to classify handwritten... Read more
Machine Learning in the Geospatial Industry: A Beginners Guide
Geospatial data just means data that is associated with locations. As the geospatial industry evolves, so are the ways in which geospatial professionals use data to solve problems. That’s why we’re seeing the rise of AI and ML in this industry. But what exactly is machine... Read more
Responsible AI is Not an Option. Here’s How You Can Achieve it
If you’re attending ODSC West you’re acutely aware of the fact that artificial intelligence (AI) is today widely used to inform and shape business strategies and services. You’re probably also aware that the decisions made by AI algorithms can appear callous and even careless. But it... Read more
Many Models Training with Hyperparameter Optimization
This article presents an approach for you to train multiple machine learning models, optimizing the hyperparameters of each model in an automated way with Azure Machine Learning. Before getting into the part where I explain how to do this, let’s first get a better understanding of... Read more
How to Choose the Best GPU Optimized VM Sizes for Your Project on Azure
A common problem that data scientists face when training and deploying their machine learning models is the choice of the right type and size of hardware. Migrating machine learning tasks on the Cloud significantly simplified the data scientist’s job, who now just needs to login into... Read more
Daniel Voigt Godoy on Deep Learning and Starting PyTorch
PyTorch has quickly been gaining steam as a leading deep learning framework, with many practitioners choosing it over TensorFlow as their go-to framework of choosing lately. Ahead of his upcoming Ai+ Training session, PyTorch 101, coming up this August 24th, we spoke with Daniel Voigt Godoy,... Read more
All You Need to Know about Gradient Boosting Algorithm − Part 1: Regression
Gradient boosting is one of the most popular machine learning algorithms for tabular datasets. It is powerful enough to find any nonlinear relationship between your model target and features and has great usability that can deal with missing values, outliers, and high cardinality categorical values on... Read more
Ivy – The Unified Machine Learning Framework
At Ivy, we’re on a mission to unify all ML frameworks 💥 + automate code conversions 🔄 pip install ivy-core 🚀, join our growing community 😊, and lets-unify.ai! 🦾 In this post, we introduce Ivy, a new ML framework that currently supports JAX, TensorFlow, PyTorch, MXNet, and... Read more
Top 12 Open Source Machine Learning Projects of 2022 (so far)
2022 is rapidly progressing so it’s a good time to take stock of what’s trending in open source machine learning and data science projects. These projects showcase the growth in the field of AI and highlight the current industry trajectory. Using GitHub stars, we tracked the... Read more
Introduction to Differential Privacy Concepts
Editor’s note: Veena is a speaker for ODSC West 2022 this October 31st to November 3rd. Be sure to check out her talk, “Introduction to Differential Privacy Concepts,” there! Differential Privacy (DP) presents a framework for a robust concept of privacy that provides mathematical rigor to... Read more