May, 2022

article thumbnail

Machine Learning Approach to Forecast Cars’ Demand

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. Over a weekend, more than 600 participants competed to build and improve their solutions and climb the leaderboard. In this article, I will […].

article thumbnail

The Berkeley Crossword Solver

BAIR

We recently published the Berkeley Crossword Solver (BCS), the current state of the art for solving American-style crossword puzzles. The BCS combines neural question answering and probabilistic inference to achieve near-perfect performance on most American-style crossword puzzles, like the one shown below: Figure 1: Example American-style crossword puzzle An earlier version of the BCS, in conjunction with Dr.Fill, was the first computer program to outscore all human competitors in the world’s t

137
137
article thumbnail

What I Wish I Knew About Onboarding Effectively

Eugene Yan

Mindset, 100-day plan, and balancing learning and taking action to earn trust.

130
130
article thumbnail

Taking Their Time Series Talents to South Beach: How McLaren Is Gaining an Edge with Accurate Weather Data

DataRobot Blog

If you’ve ever driven through Texas or Florida during a rare Southern snowstorm, a few things quickly become cartoonishly obvious—your tyres matter, your driving matters, and your ability to navigate changing weather conditions really matters. As the Formula 1 Miami Grand Prix culminates on May 8, 2022, it’s not likely to be snowing. The forecast calls for sunny skies and temperatures between 68?

article thumbnail

AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

article thumbnail

A Generalist Agent

DeepMind

Inspired by progress in large-scale language modelling, we apply a similar approach towards building a single generalist agent beyond the realm of text outputs. The agent, which we refer to as Gato, works as a multi-modal, multi-task, multi-embodiment generalist policy. The same network with the same weights can play Atari, caption images, chat, stack blocks with a real robot arm and much more, deciding based on its context whether to output text, joint torques, button presses, or other tokens.

More Trending

article thumbnail

How to Approach CNN Architecture from Scratch?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on CNN Architecture Hello, and welcome again to another intriguing subject. As a consequence of the large quantity of data accessible, particularly in the form of photographs and videos, the need for Deep Learning is growing by the day. Many advanced designs […]. The post How to Approach CNN Architecture from Scratch?

article thumbnail

Rethinking Human-in-the-Loop for Artificial Augmented Intelligence

BAIR

Figure 1: In real-world applications, we think there exist a human-machine loop where humans and machines are mutually augmenting each other. We call it Artificial Augmented Intelligence. How do we build and evaluate an AI system for real-world applications? In most AI research, the evaluation of AI methods involves a training-validation-testing process.

article thumbnail

Bandits for Recommender Systems

Eugene Yan

Industry examples, exploration strategies, warm-starting, off-policy evaluation, and more.

130
130
article thumbnail

Automating Model Risk Compliance: Model Development

DataRobot Blog

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively). The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the

article thumbnail

AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.

article thumbnail

Advocating for the LGBTQ+ community in AI research

DeepMind

Research scientist, Kevin McKee, tells how his early love of science fiction and social psychology inspired his career, and how he’s helping advance research in ‘queer fairness’, support human-AI collaboration, and study the effects of AI on the LGBTQ+ community.

article thumbnail

How To Perform Sentiment Analysis Using TensorFlow Extended (TFX)?

Dlabs.ai

Sentiment analysis offers significant business benefits, which is why more and more companies are implementing it. If you’re wondering how you can run sentiment analysis using TensorFlow Extended, we have something for you. We’ve created a free step-by-step walkthrough on how to apply BERT to sentiment analysis using TFX and Vertex AI pipelines. But before we check out the course details, let’s look at TFX.

BERT 52
article thumbnail

An Exploratory Data Analysis Guide for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Exploratory Data Analysis When we start with data science we all want to dive in and apply some cool sounding algorithms like Naive Bayes, XGBoost directly to our data and expects to get some magical results. But we tend to forget that before applying those […].

article thumbnail

What is AI? And what does it mean for me and the world?

Kavita Ganesan

Listen to my interview with the Insatiably Curious Podcast host, David Gee. Transcript of the podcast is as below. 00:07 Welcome to the Insatiably Curious Podcast , where we invite lifelong learners to join us on a personal and professional journey. Now here to inform, entertain and enlighten, while always keeping it interesting from our nation’s capital.

AI 52
article thumbnail

4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

article thumbnail

Powering next generation applications with OpenAI Codex

OpenAI

Codex is now powering 70 different applications across a variety of use cases through the OpenAI API.

OpenAI 52
article thumbnail

AI for Human Capital Management

DataRobot Blog

Hiring and retention across most government organizations is a challenge. For instance, in 2019, the Government Acquisition Office (GAO) researched and identified 35 high-risk hiring areas. The Office of Personnel Management (OPM) began tracking time-to-hire (T2H) requirements in 2008 and found that the average government hire took around 100 days. As a comparison, external reports have found that public sector T2H averages three times as long as the private sector, 119 days compared to 36 days.

article thumbnail

Advocating for the LGBTQ+ community in AI research

DeepMind

Research scientist, Kevin McKee, tells how his early love of science fiction and social psychology inspired his career, and how he’s helping advance research in ‘queer fairness’, support human-AI collaboration, and study the effects of AI on the LGBTQ+ community.

article thumbnail

Top 10 Free Machine Learning And Artificial Intelligence Courses In 2023

Dlabs.ai

According to BCC research, the machine learning market will grow to $90.1 billion by 2026 , an almost 40% uptick in five years. That shows how companies are increasingly investing in ML solutions, often looking for skilled professionals to help them create custom software. Given the data, it’s little surprise that many people want to learn more about AI and ML and, in turn, develop the necessary skills to become a machine learning engineer.

article thumbnail

Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

article thumbnail

IPL Team Win Prediction Project Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning and Data Science are one of the fastest-growing technological fields. This field results in amazing changes in the medical field, production, robotics etc. The main reason for the advancement in this field is the increase in the computational power and […].

article thumbnail

AI Harms are Societal, Not Just Individual

fast.ai

When the USA government switched to facial identification service ID.me for unemployment benefits, the software failed to recognize Bill Baine’s face. While the app said that he could have a virtual appointment to be verified instead, he was unable to get through. The screen had a wait time of 2 hours and 47 minutes that never updated, even over the course of weeks.

AI 52
article thumbnail

Solutions for Advanced NLP for Diverse Languages

Explosion

This talk discusses spaCy’s philosophy for modern NLP, its extensible design and new recent features to enable the development of advanced natural language processing pipelines for typologically diverse languages.

NLP 52
article thumbnail

Automating Model Risk Compliance: Model Validation

DataRobot Blog

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

article thumbnail

Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

article thumbnail

Evaluating Multimodal Interactive Agents

DeepMind

In this paper, we assess the merits of these existing evaluation metrics and present a novel approach to evaluation called the Standardised Test Suite (STS). The STS uses behavioural scenarios mined from real human interaction data.

57
article thumbnail

You’ll Soon Have A Humanoid In Your House

Dlabs.ai

The world of artificial intelligence rarely stands still. In fact, most of the time, it moves at a breakneck speed. Just recently, Elon Musk went so far as to predict that in the not-so-distant future, we’ll all have a robot roommate! But not to worry: these humanoids will be as friendly as they come — see for yourself by reading the full story below.

article thumbnail

The DataHour: Build Your First Chatbot Using Open Source Tools

Analytics Vidhya

Dear Readers, The latest edition of our flagship learning series on everything in and about data analytics is sure to excite your minds, be prepared for the DataHour on Building your First Chatbot using Open Source Tools. The session will be hosted by Dr. Rachael Tatman- Staff Developer Advocate at Rasa, the world’s leading conversational […].

Chatbots 399
article thumbnail

LinkBERT: Improving Language Model Training with Document Link

The Stanford AI Lab Blog

Language Model Pretraining Language models (LMs), like BERT 1 and the GPT series 2 , achieve remarkable performance on many natural language processing (NLP) tasks. They are now the foundation of today’s NLP systems. 3 These models serve important roles in products and tools that we use every day, such as search engines like Google 4 and personal assistants like Alexa 5.

BERT 40
article thumbnail

15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

article thumbnail

Diary of a spaCy project: Predicting GitHub Tags

Explosion

Many people assume that working on an NLP project involves a lot of machine learning. Our experience is that it's much less about flowing tensors, and more about making a tailored solution. This blogposts demonstrates how a typical spaCy project could be initiated, implemented and executed towards a custom solution.

NLP 40
article thumbnail

AI for Climate Change and Weather Risk

DataRobot Blog

Climate change and natural disasters are a concern for both the public sector and commercial organizations. The scale and costs of weather disasters in the U.S. is substantial and growing. From 2018 to 2020, the U.S. experienced 50 independent weather and climate disasters that cost over $1 billion each. In the past three decades, the National Oceanic and Atmospheric Administration (NOAA) estimates that climate and weather disasters have cost the U.S. over $1.875 trillion.

article thumbnail

Evaluating Multimodal Interactive Agents

DeepMind

In this paper, we assess the merits of these existing evaluation metrics and present a novel approach to evaluation called the Standardised Test Suite (STS). The STS uses behavioural scenarios mined from real human interaction data.

57