Sat.Dec 03, 2022 - Fri.Dec 09, 2022

article thumbnail

XAI: Accuracy vs Interpretability for Credit-Related Models

Analytics Vidhya

Introduction The global financial crisis of 2007 has had a long-lasting effect on the economies of many countries. In the epic financial and economic collapse, many lost their jobs, savings, and much more. When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya.

article thumbnail

10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Introducing ChatGPT!

Cassie Kozyrkov

The Revolutionary New Tool for Conversation Generation Continue reading on HackerNoon.

ChatGPT 130
article thumbnail

Competitive programming with AlphaCode

DeepMind

Solving novel problems and setting a new milestone in competitive programming.

108
108
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

A Guide to Vyper and its Environments

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction From the current trends in technology, a lot is likely to become more sophisticated. One area we will look at is the new technology known as Vyper, which is a programming language for developing apps on the web 3. This type of […]. The post A Guide to Vyper and its Environments appeared first on Analytics Vidhya.

More Trending

article thumbnail

Formation of Robust Bound States of Interacting Photons

Google Research AI blog

Posted by Alexis Morvan and Trond Andersen, Research Scientists, Google Quantum AI When quantum computers were first proposed, they were hoped to be a way to better understand the quantum world. With a so-called “quantum simulator,” one could engineer a quantum computer to investigate how various quantum phenomena arise, including those that are intractable to simulate with a classical computer.

AI 52
article thumbnail

AI for the board game Diplomacy

DeepMind

Successful communication and cooperation have been crucial for helping societies advance throughout history. The closed environments of board games can serve as a sandbox for modelling and investigating interaction and communication – and we can learn a lot from playing them. In our recent paper, published today in Nature Communications, we show how artificial agents can use communication to better cooperate in the board game Diplomacy, a vibrant domain in artificial intelligence (AI) research,

article thumbnail

Explaining MLOps using MLflow Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be seeing MLOps from the dimension of one of the powerful tools that make it easy to implement. These tool help to improve the deployment process for robust machine-learning projects. We will start by briefly seeing MLOps […]. The post Explaining MLOps using MLflow Tool appeared first on Analytics Vidhya.

article thumbnail

Custom Interfaces with blocks

Explosion

You can create custom annotation layouts in Prodigy using the annotation widgets that Prodigy provides by using the blocks feature. This video explains how to use this feature by building a custom interface that can manually annotate and transcribe audio.

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

Deployment of Data and ML Pipelines for the Most Chaotic Industry: The Stirred Rivers of Crypto

The MLOps Blog

There’s an old saying in Argentina that goes: “A río revuelto, ganancia de pescadores”. This translates to “ when the rivers are stirred, the fishermen profit ”. 2022 will be remembered as a defining year for the crypto ecosystem. If this will be for good or for bad reasons it is yet to be known, but there’s no doubt that the massive waves caused by the ecosystem’s volatility (including the fall and destruction of both an entire cryptocurrency and arguably the second most important exchange comp

ML 52
article thumbnail

AI for the board game Diplomacy

DeepMind

Successful communication and cooperation have been crucial for helping societies advance throughout history. The closed environments of board games can serve as a sandbox for modelling and investigating interaction and communication – and we can learn a lot from playing them. In our recent paper, published today in Nature Communications, we show how artificial agents can use communication to better cooperate in the board game Diplomacy, a vibrant domain in artificial intelligence (AI) research,

article thumbnail

Join us for free for upcoming DataHour Sessions

Analytics Vidhya

Introduction Having Technical skills and knowledge is one of the best ways to get a hike in your career path. Keeping this in mind, many working professionals and students have started upskilling themselves. But you need to brush up on your Technical skills periodically to get the latest knowledge. To upskill yourself, and expand your […]. The post Join us for free for upcoming DataHour Sessions appeared first on Analytics Vidhya.

article thumbnail

Understanding the Results of the NLP Community Metasurvey: Interview with CDS Research Scientist…

NYU Center for Data Science

Understanding the Results of the NLP Community Metasurvey: Interview with CDS Research Scientist Julian Michael Julian Michael, CDS Research Scientist If you’ve ever wondered what those in the NLP community might think about whether language models can understand language, which predictive models are ethical for researchers to build and release, or if there are too many resources being dedicated to scaling up existing machine learning methods, then you’re reading the right blog post.

NLP 52
article thumbnail

From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

article thumbnail

Google at EMNLP 2022

Google Research AI blog

Posted by Malaya Jules, Program Manager, Google This week, the premier conference on Empirical Methods in Natural Language Processing (EMNLP 2022) is being held in Abu Dhabi, United Arab Emirates. We are proud to be a Diamond Sponsor of EMNLP 2022, with Google researchers contributing at all levels. This year we are presenting over 50 papers and are actively involved in 10 different workshops and tutorials.

article thumbnail

AI for the board game Diplomacy

DeepMind

Successful communication and cooperation have been crucial for helping societies advance throughout history. The closed environments of board games can serve as a sandbox for modelling and investigating interaction and communication – and we can learn a lot from playing them. In our recent paper, published today in Nature Communications, we show how artificial agents can use communication to better cooperate in the board game Diplomacy, a vibrant domain in artificial intelligence (AI) research,

article thumbnail

Simplify Data Migration with AWS DMS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction DMS is a service that makes it easy to migrate on-premise databases into the cloud with minimal or no downtime. It can even monitor the changes in the original database and apply them to the new database. DMS supports […]. The post Simplify Data Migration with AWS DMS appeared first on Analytics Vidhya.

article thumbnail

Automatic Differentiation Part 1: Understanding the Math

PyImageSearch

Table of Contents Automatic Differentiation Part 1: Understanding the Math Introduction Jacobian Chain Rule Mix the Jacobian and Chain Rule Forward and Reverse Accumulations Forward Accumulation Reverse Accumulation Summary References Citation Information Automatic Differentiation Part 1: Understanding the Math In this tutorial, you will learn the math behind automatic differentiation needed for backpropagation.

article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

article thumbnail

Private Ads Prediction with DP-SGD

Google Research AI blog

Posted by Krishna Giri Narra, Software Engineer, Google, and Chiyuan Zhang, Research Scientist, Google Research Ad technology providers widely use machine learning (ML) models to predict and present users with the most relevant ads, and to measure the effectiveness of those ads. With increasing focus on online privacy, there’s an opportunity to identify ML algorithms that have better privacy-utility trade-offs.

article thumbnail

OpenAI announces ChatGPT

Bugra Akyildiz

If you have to read only a paper this week: arxiv.org/pdf/2205.02302… ","username":"bugraa","name":"Bugra Akyildiz","date":"Mon Nov 28 00:04:46 +0000 2022","photos":[],"quoted_tweet":{},"retweet_count":0,"like_count":0,"expanded_url":{},"video_url":null,"belowTheFold":false}"> Bugra Akyildiz @bugraa A good and introductory paper for MLOps: arxiv.org/pdf/2205.02302… 12:04 AM 

OpenAI 52
article thumbnail

Comparison of Text Generations from GPT and GPT-2

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction The real-world data can be very messy and skewed, which can mess up the effectiveness of the predictive model if it is not addressed correctly and in time. The consequences of skewness become more pronounced when a large model is […]. The post Comparison of Text Generations from GPT and GPT-2 appeared first on Analytics Vidhya.

article thumbnail

I Got GeniusMapped

NLPhilia

Jonathan Altfeld , the developer of a method of modeling based on his work in Artificial Intelligence and which he calls “GeniusMapping”, did two “taster” sessions with me as the exemplar back in August and September of 2022. He says: Mike may be one of the best people in the world at quelling violent responses in people. He’s developed this skill, and the belief system that enables it, over many years.

article thumbnail

The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

article thumbnail

Will You Find These Shortcuts?

Google Research AI blog

Posted by Katja Filippova, Research Scientist, and Sebastian Ebert, Software Engineer, Google Research, Brain team Modern machine learning models that learn to solve a task by going through many examples can achieve stellar performance when evaluated on a test set, but sometimes they are right for the “wrong” reasons: they make correct predictions but use information that appears irrelevant to the task.

BERT 52
article thumbnail

How is AI  Being Used To Write Code

How to Learn Machine Learning

In recent years, artificial intelligence (AI) has made significant advances in its ability to complete various tasks that were once thought to be exclusive to humans. This includes the ability to write code. AI is not yet able to write complex codes as well as a human programmer, but it is becoming increasingly capable of completing this task. Programming a computer with artificial intelligence (Ai) allows it to make decisions on its own.

article thumbnail

Using AWS S3 with Python boto3

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction AWS S3 is one of the object storage services offered by Amazon Web Services or AWS. It allows users to store and retrieve files quickly and securely from anywhere. Users can combine S3 with other services to build numerous scalable […]. The post Using AWS S3 with Python boto3 appeared first on Analytics Vidhya.

Python 332
article thumbnail

Competitive programming with AlphaCode

DeepMind

Solving novel problems and setting a new milestone in competitive programming.

57
article thumbnail

Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

article thumbnail

Supervised Training of Conditional Monge Maps

Machine Learning Research at Apple

Optimal transport (OT) theory describes general principles to define and select, among many possible choices, the most efficient way to map a probability measure onto another. That theory has been mostly used to estimate, given a pair of source and target probability measures , a parameterized map that can efficiently map onto. In many applications, such as predicting cell responses to treatments, the data measures (features of untreated/treated cells) that define optimal transport problems do n

40
article thumbnail

The triangulation of ethical leader signals using qualitative, experimental, and data science methods

Explosion

This additional text was labeled by the same coding team using Prodigy, [.] a flexible user interface tool built on top of spaCy, a leading open source library in python for natural language processing. We created a spaCy end‐to‐end project workflow including package versioning, data pre‐processing, data ingestion into a database, annotation sessions using Prodigy’s user interface, model training, model evaluation, python packaging, and visual app for testing the model.

article thumbnail

Discovering the minutiae of backend systems

OpenAI

Christian Gibson is an engineer on the Supercomputing team at OpenAI.

OpenAI 52