Exclusive Content:

Haiper steps out of stealth mode, secures $13.8 million seed funding for video-generative AI

Haiper Emerges from Stealth Mode with $13.8 Million Seed...

Running Your ML Notebook on Databricks: A Step-by-Step Guide

A Step-by-Step Guide to Hosting Machine Learning Notebooks in...

“Revealing Weak Infosec Practices that Open the Door for Cyber Criminals in Your Organization” • The Register

Warning: Stolen ChatGPT Credentials a Hot Commodity on the...

Using Machine Learning to Forecast the Winners of the 2024 Oscars – The Official Blog of BigML.com

2024 Oscars Predictions and Machine Learning Models by BigML

The 2023 movie year will be remembered as the “Barbenheimer Year” in the history of filmmaking. The releases of Barbie and Oppenheimer in sync earned over $2 billion worldwide, potentially helping the movie industry bounce back from its post-pandemic struggles. With the upcoming 96th Academy Awards this Sunday, the excitement is building up towards the big reveal of the Best Picture of 2023.

At BigML, it has become an annual tradition to share Machine Learning predictions for the Academy Awards. The 2024 nominees are stacked with critically acclaimed films, with Oppenheimer leading the pack with 13 nominations. Other notable contenders include Poor Things, Killers of the Flower Moon, and Barbie.

The BigML team has collected data points on the 1,505 movies nominated for various awards from 2000 to 2023, including film characteristics, critic and audience reception measures, and industry award nominations and winners. This year, historical betting odds were added to test their predictive power alongside other data fields. The models have been generated using OptiML, BigML’s popular AutoML feature, to find the best-performing supervised models for each award category.

After creating Fusion models by combining the top-performing models, Batch Predictions were made against the movies produced in 2023. The emphasis on white-box models with full explainability allows for a deeper analysis of the models and predictions for added introspection.

The predictions for the 2024 Oscars include the most likely winners in each category, with Oppenheimer expected to sweep the night with multiple wins. The models also reveal other contenders in each category and provide insights into the likelihood of their success based on historical data.

In addition to the popular awards, technical categories such as Best Cinematography, Costume Design, and Visual Effects are also predicted. With nine Oscars predicted for Oppenheimer, the night promises to be a remarkable one for the film.

As the excitement builds towards the 96th Academy Awards, it’s time for movie enthusiasts to follow in BigML’s footsteps and make their own predictions or build their Machine Learning models. The post-Oscars follow-up will provide a grading of the predictions, but until then, good luck to all the Oscars hopefuls!

Latest

Identify and Redact Personally Identifiable Information with Amazon Bedrock Data Automation and Guardrails

Automated PII Detection and Redaction Solution with Amazon Bedrock Overview In...

OpenAI Introduces ChatGPT Health for Analyzing Medical Records in the U.S.

OpenAI Launches ChatGPT Health: A New Era in Personalized...

Making Vision in Robotics Mainstream

The Evolution and Impact of Vision Technology in Robotics:...

Revitalizing Rural Education for China’s Aging Communities

Transforming Vacant Rural Schools into Age-Friendly Facilities: Addressing Demographic...

Don't miss

Haiper steps out of stealth mode, secures $13.8 million seed funding for video-generative AI

Haiper Emerges from Stealth Mode with $13.8 Million Seed...

Running Your ML Notebook on Databricks: A Step-by-Step Guide

A Step-by-Step Guide to Hosting Machine Learning Notebooks in...

VOXI UK Launches First AI Chatbot to Support Customers

VOXI Launches AI Chatbot to Revolutionize Customer Services in...

Investing in digital infrastructure key to realizing generative AI’s potential for driving economic growth | articles

Challenges Hindering the Widescale Deployment of Generative AI: Legal,...

Identify and Redact Personally Identifiable Information with Amazon Bedrock Data Automation...

Automated PII Detection and Redaction Solution with Amazon Bedrock Overview In an era where organizations handle vast amounts of sensitive customer information, maintaining data privacy and...

Understanding the Dummy Variable Trap in Machine Learning Made Simple

Understanding Dummy Variables and Avoiding the Dummy Variable Trap in Machine Learning What Are Dummy Variables and Why Are They Important? What Is the Dummy Variable...

30 Must-Read Data Science Books for 2026

The Essential Guide to Data Science: 30 Must-Read Books for 2026 Explore a curated list of essential books that lay a strong foundation in data...