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State of Machine Learning Survey Results Part One

ODSC - Open Data Science

Deep learning is a fairly common sibling of machine learning, just going a bit more in-depth, so ML practitioners most often still work with deep learning. Big data analytics is evergreen, and as more companies use big data it only makes sense that practitioners are interested in analyzing data in-house.

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15 Fan-Favorite Speakers & Instructors Returning for ODSC East 2025

ODSC - Open Data Science

Session 2: Bayesian Analysis of Survey Data: Practical Modeling withPyMC Unlock the power of Bayesian inference for modeling complex categorical data using PyMC. This session takes you from logistic regression to categorical and ordered logistic regression, providing practical, hands-on experience with real-world surveydata.

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Announcing the ODSC East 2023 Preliminary Schedule

ODSC - Open Data Science

Finally, Tuesday is the first day of the AI Expo and Demo Hall , where you can connect with our conference partners and check out the latest developments and research from leading tech companies. This will also be the last day to connect with our partners in the AI Expo and Demo Hall.

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A Complete Guide to Image Classification in 2024

Viso.ai

Image Classification Using Machine Learning CNN Image Classification (Deep Learning) Example applications of Image Classification Let’s dive deep into it! Get a demo for your company. The categorization law can be applied through one or multiple spectral or textural characterizations. About us: Viso.ai

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Unpacking the Power of Attention Mechanisms in Deep Learning

Viso.ai

The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. Learn more by booking a demo. Types of Attention Mechanisms Attention mechanisms are a vital cog in modern deep learning and computer vision models. Vaswani et al.

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What is Pattern Recognition? A Gentle Introduction (2025)

Viso.ai

Get a demo for your organization. The identification of regularities in data can then be used to make predictions, categorize information, and improve decision-making processes. While explorative pattern recognition aims to identify data patterns in general, descriptive pattern recognition starts by categorizing the detected patterns.

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Top Computer Vision Tools/Platforms in 2023

Marktechpost

The system analyzes visual data before categorizing an object in a photo or video under a predetermined heading. One of the most straightforward computer vision tools, TensorFlow, enables users to create machine learning models for computer vision-related tasks like facial recognition, picture categorization, object identification, and more.