Analytics Vidhya

DECEMBER 4, 2022

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.

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DataRobot Blog

DECEMBER 6, 2022

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.

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Cassie Kozyrkov

DECEMBER 7, 2022

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

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DeepMind

DECEMBER 5, 2022

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,

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Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Analytics Vidhya

DECEMBER 4, 2022

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.

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Explosion

DECEMBER 6, 2022

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.

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DeepMind

DECEMBER 5, 2022

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,

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Analytics Vidhya

DECEMBER 3, 2022

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.

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NYU Center for Data Science

DECEMBER 7, 2022

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.

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

Google Research AI blog

DECEMBER 7, 2022

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.

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NLPhilia

DECEMBER 4, 2022

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.

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Analytics Vidhya

DECEMBER 4, 2022

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.

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How to Learn Machine Learning

DECEMBER 4, 2022

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.

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Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

LLM

DeepMind

DECEMBER 7, 2022

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

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Machine Learning Research at Apple

DECEMBER 6, 2022

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

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Analytics Vidhya

DECEMBER 7, 2022

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.

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Explosion

DECEMBER 4, 2022

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.

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Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

DeepMind

DECEMBER 7, 2022

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

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OpenAI

DECEMBER 8, 2022

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

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Analytics Vidhya

DECEMBER 5, 2022

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.

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Cold Takes

DECEMBER 8, 2022

Click lower right to download or find on Apple Podcasts, Spotify, Stitcher, etc. In previous pieces, I argued that there's a real and large risk of AI systems' developing dangerous goals of their own and defeating all of humanity - at least in the absence of specific efforts to prevent this from happening. A young, growing field of AI safety research tries to reduce this risk, by finding ways to ensure that AI systems behave as intended (rather than forming ambitious aims of their own

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Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

PyImageSearch

DECEMBER 5, 2022

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.

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AssemblyAI

DECEMBER 6, 2022

The open-source community has been busy exploring Stable Diffusion 2 since its release just a couple of weeks ago. In some cases, users have reported apparently lower performance compared to Stable Diffusion 1. In this article, we'll summarize all of the important points in the Stable Diffusion 1 vs Stable Diffusion 2 debate. We will look at the actual reason why these differences exist in the first section, but if you want to get straight to the practical differences, you can jump down the

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Analytics Vidhya

DECEMBER 5, 2022

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.

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Google Research AI blog

DECEMBER 7, 2022

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.

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

The MLOps Blog

DECEMBER 7, 2022

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

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Bugra Akyildiz

DECEMBER 3, 2022

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 

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Lexalytics

DECEMBER 7, 2022

Bias in AI and Machine Learning: Some Recent Examples (OR Cases in Point) “Bias in AI” has long been a critical area of research and concern in machine learning circles and has grown in awareness among general consumer audiences over the past couple of years as knowledge of AI has grown. It’s a term that describes situations where ML-based data analytics systems show bias against certain groups of people.

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