Sat.Aug 06, 2022 - Fri.Aug 12, 2022

article thumbnail

Minerva – Google’s Language Model for Quantitative Reasoning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Minerva [link] Google presented Minerva; a neural network created in-house that can break calculation questions and take on other delicate areas like quantitative reasoning. The model for natural language processing is called Minerva. Recently, experimenters have developed a very sophisticated natural language […].

article thumbnail

On Technique

O'Reilly Media

In a previous article , I wrote about how models like DALL-E and Imagen disassociate ideas from technique. In the past, if you had a good idea in any field, you could only realize that idea if you had the craftsmanship and technique to back it up. With DALL-E, that’s no longer true. You can say, “Make me a picture of a lion attacking a horse,” and it will happily generate one.

professionals

Sign Up for our Newsletter

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

article thumbnail

Realising scientists are the real superheroes

DeepMind

Meet Edgar Duéñez-Guzmán, a research engineer on our Multi-Agent Research team who’s drawing on knowledge of game theory, computer science, and social evolution to get AI agents working better together.

AI 57
article thumbnail

Our Path Forward

DataRobot Blog

Today’s market looks very different than it did in 2021 as global IPO activity hit an all-time high, when DataRobot pursued an aggressive growth strategy and expanded business operations in preparation for the public markets. Since the beginning of the year our team has taken steps to adapt to changing market dynamics and put in place more cost discipline, including the workforce reduction in May.

AI 59
article thumbnail

How To Get Promoted In Product Management

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.

article thumbnail

Comprehensive Guide to Edge Detection Algorithms

Analytics Vidhya

Introduction Image processing is a widely used concept to exploit the information from the images. Image processing algorithms take a long time to process the data because of the large images and the amount of information available in it. So, in these edge-cutting techniques, it is necessary to reduce the amount of information that the […]. The post Comprehensive Guide to Edge Detection Algorithms appeared first on Analytics Vidhya.

Algorithm 399

More Trending

article thumbnail

Realising scientists are the real superheroes

DeepMind

Meet Edgar Duéñez-Guzmán, a research engineer on our Multi-Agent Research team who’s drawing on knowledge of game theory, computer science, and social evolution to get AI agents working better together.

AI 57
article thumbnail

Healthcare: Why Integrated Care Systems Need to Focus on AI and not BI

DataRobot Blog

Change is happening fast across the NHS with the focus squarely on harnessing the huge amount of data the NHS generates — to drive forward the transformation programmes needed to address the backlog for elective care and growing demands for services. As Integrated Care Systems (ICSs) in England officially launch, we take a look at the key opportunities presented to ICS regions to harness cutting-edge modern and integrated analytical frameworks to accelerate the attainment of operating efficienc

article thumbnail

The Ultimate Guide To Pandas For Data Science!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction 2.5 quintillion bytes of data are produced every day! Consider how much we can deduce from that and what conclusions we can draw. Wait! But, how do we deal with such a massive amount of data? Not to worry; the Pandas library […]. The post The Ultimate Guide To Pandas For Data Science!

article thumbnail

Even if AI is Your Goal, Why Starting Without AI Improves Outcomes

Kavita Ganesan

When it comes to software automation, many teams turn to AI as their potential answer. AI in the form of machine learning or NLP may be an excellent solution to a problem. But did you know that the best way to start AI initiatives is to start with no AI at all? This may seem counterintuitive, but there’s a simple reason for it. It’s because you may not be ready for AI as a solution.

article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

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?

article thumbnail

New and Improved Content Moderation Tooling

OpenAI

We are introducing a new and improved content moderation tool: The Moderation endpoint improves upon our previous content filter, and is available for free today to OpenAI API developers. To help developers protect their applications against possible misuse, we are introducing the faster and more accurate Moderation endpoint. This endpoint provides OpenAI API developers with free access to GPT-based classifiers that detect undesired content—an instance of using AI systems to assist with h

OpenAI 52
article thumbnail

LOGOS: A Brand Independent logo detection model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Logos, also known as trademarks, are critical to a firm. Each firm has its unique logo that contributes to the company’s public perception. From the toothpaste we use to the slippers we wear, logos surround us in our day-to-day life. “It’s a […]. The post LOGOS: A Brand Independent logo detection model appeared first on Analytics Vidhya.

article thumbnail

Connecting and Reading Data From Azure Data Lake

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction You can access your Azure Data Lake Storage Gen1 directly with the RapidMiner Studio. This is the feature offered by the Azure Data Lake Storage connector. It supports both reading and writing operations. You can also read from a set of files […]. The post Connecting and Reading Data From Azure Data Lake appeared first on Analytics Vidhya.

article thumbnail

A Beginners Guide to understand the Blockchain Ecosystem

Analytics Vidhya

Introduction Blockchain ecosystem has enabled us with a new way of perceiving, storing, and sharing data based on the concept of peer-to-peer technologies. Blockchain gained popularity in the last decade for developing cryptocurrency exchanges, maintaining a foolproof medical history of patients, and immutable education records. To get future-ready and develop an understanding of blockchain, it […].

388
388
article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

article thumbnail

Apache Airflow Essential Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction [link] Apache Airflow platform for automating workflows’ creation, scheduling, and mirroring. Not only is it free and open source, but it also helps create and organize complex data channels. A data channel platform […]. The post Apache Airflow Essential Guide appeared first on Analytics Vidhya.

article thumbnail

QlikView for Data Engineers Explained with Architecture

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction QlikView is a popular enterprise discovery platform that enables all users in an organization to perform self-service BI. With QlikView, you can analyze and visualize data and their relationships and use these analyzes to make decisions. It Supports various data sources, including […].

article thumbnail

Data Warehousing with Microsoft Azure

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data is compelling and critical for businesses to generate actionable and valuable insights only when used correctly. In addition, it is also essential to analyze and organize it well. However, only a few business data are analyzed and stored appropriately. Source: [link] […].

article thumbnail

Outliers Pruning Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction When it comes to data cleaning, it is not always that we have to deal with NaN or Zero values so that we can remove them, and data cleaning is done! In real-time practical projects, things aren’t that simple. We have to […]. The post Outliers Pruning Using Python appeared first on Analytics Vidhya.

Python 368
article thumbnail

How to Improve Email Deliverability and Optimize Each Send

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.

article thumbnail

Data Science Blogathon 23rd Edition

Analytics Vidhya

Did you miss the last chance to share your valuable knowledge with the world? Then, here is the chance to do that again! After 22 successful and insightful data science blogathons, Analytics Vidhya is back with its 23rd Blogathon Edition that goes live from today! CLICK HERE TO REGISTER! Introduction Analytics Vidhya has a mission- […]. The post Data Science Blogathon 23rd Edition appeared first on Analytics Vidhya.

article thumbnail

Dropout Regularization in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction When you go out to buy a shirt for yourself, you will not buy something which is very fit for your body because then if you eat pizza or biryani and if you become fat it will not be convenient you will […]. The post Dropout Regularization in Deep Learning appeared first on Analytics Vidhya.

article thumbnail

Object detection lite : Template Matching

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Template matching is a high-level computer vision approach that detects image portions that match a predetermined template. Advanced template matching algorithms detect template occurrences regardless of orientation or local brightness. In medical image analysis, invariant characteristics or innovative applications are commonly used […].

article thumbnail

A Comparative Analysis of Community Detection Algorithms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Community detection in a network identifies and groups the more densely interconnected nodes in a given graph. This graph can take the form of a social network graph, a biological network, or a representation of a local network of computers, for example. Clusters of […].

Algorithm 271
article thumbnail

Understanding User Needs and Satisfying Them

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.

article thumbnail

DataHour: Data Science in a FAANG Company!

Analytics Vidhya

Introduction Analytics Vidhya has long been at the forefront of imparting data science knowledge to its community. With the intent to make learning data science more engaging to the community, we began with our new initiative- “DataHour.” DataHour is a series of webinars by top industry experts where they teach and democratize data science knowledge. […].