Sat.Aug 20, 2022 - Fri.Aug 26, 2022

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A primer on AWS Lambda Function

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction While deploying an application, developers often face challenges concerning purchasing, provisioning, and managing backend servers. AWS Lambda is a service that allows developers to run code without having to set up and manage such servers and hence is often classified under the […].

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Advancing conservation with AI-based facial recognition of turtles

DeepMind

We came across Zindi – a dedicated partner with complementary goals – who are the largest community of African data scientists and host competitions that focus on solving Africa’s most pressing problems. Our Science team’s Diversity, Equity, and Inclusion (DE&I) team worked with Zindi to identify a scientific challenge that could help advance conservation efforts and grow involvement in AI.

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How Sentiment Analysis Keeps Your Brand in Check (and How to Get Started)

Kavita Ganesan

We’ve all heard of sentiment analysis, but what exactly is it and what can it do for your brand, your business, and how can you get started with it? Table Of Contents What is Sentiment Analysis? Why is Sentiment Analysis Important in Business? How are Businesses Using Sentiment Analysis? (Real-World Examples) How to Get Started with Sentiment Analysis Keep Learning From Me: Recommeded Reading What is Sentiment Analysis?

NLP 52
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The Jupyter+git problem is now solved

fast.ai

Jupyter notebooks don’t work with git by default. With nbdev2 , the Jupyter+git problem has been totally solved. It provides a set of hooks which provide clean git diffs, solve most git conflicts automatically, and ensure that any remaining conflicts can be resolved entirely within the standard Jupyter notebook environment. To get started, follow the directions on Git-friendly Jupyter.

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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

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Using AWS Athena and QuickSight for Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Ever wondered how to query and analyze raw data? Also, have you ever tried doing this with Athena and QuickSight? This blog post will walk you through the necessary steps to achieve this using Amazon services and tools. Amazon’s perfect combination of […]. The post Using AWS Athena and QuickSight for Data Analysis appeared first on Analytics Vidhya.

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Our approach to alignment research

OpenAI

We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems.

AI 52
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Travelogue: Defined.ai at ICASSP 2022 – Part 1: My Time in Singapore

Defined.ai blog

At the end of last May, the Defined.ai team participated in ICASSP 2022—or the International Conference on Acoustics, Speech, and Signal Processing—in Singapore. It was a blast, equally because it was my first time in Singapore and because it was the first in-person conference we’d been to since COVID-19 changed the world. Since it’s been so long since any of us have had the opportunity travel for an in-person event like this, I’d like to treat you, our faithful reader, to some highlights about

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How is Web3.0 Related to the Metaverse?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Decentralized protocols, such as blockchain, the technology behind bitcoin transactions, will be employed in the web 3.0 revolution. It aims to overcome some of the primary drawbacks and flaws of the present internet era by tackling the crucial concerns of data ownership […].

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Advancing conservation with AI-based facial recognition of turtles

DeepMind

We came across Zindi – a dedicated partner with complementary goals – who are the largest community of African data scientists and host competitions that focus on solving Africa’s most pressing problems. Our Science team’s Diversity, Equity, and Inclusion (DE&I) team worked with Zindi to identify a scientific challenge that could help advance conservation efforts and grow involvement in AI.

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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?

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Our Approach to Alignment Research

OpenAI

Our approach to aligning AGI is empirical and iterative. We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems. Introduction Our alignment research aims to make artificial general intelligence (AGI) aligned with human values and follow human intent.

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floret: lightweight, robust word vectors

Explosion

An exploration of floret vectors: lightweight vectors for noisy data, novel words, rich morphology and more.

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Deep Learning Vision: Digitizing the World

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The body of knowledge and practice known as Deep Learning gives us a way to understand patterns, quantify relationships, and predict the future. Deep Learning helps us understand the world. The world is interconnected. Deep learning can show these connections and possibilities. […].

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Working with Images and Videos using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As we all know, Computer Vision has gained huge popularity in Machine Learning and Artificial Intelligence. The image recognition skill allows computers to process more information than the human eye, often faster and more accurately, or simply when people are not involved in […].

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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

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ETL and Workflow Orchestration Tools

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we attempt to capture the complexity of ETL and workflow orchestration tools, which aid in better data management and control by providing multiple alternatives for performing various operations in discrete blocks while maintaining visibility and clear goals for each action.

ETL 319
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Evolution of TPUs and GPUs in Deep Learning Applications

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article will briefly discuss some research papers using Graphic Processing Units and Tensor Processing Units in Deep Learning applications. What are GPUs? It stands for Graphic Processing Unit, specialized hardware that accelerates graphic rendering in various computer applications.

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Simplifying AI Models with the PEAS Representation System

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The capability of an artificial machine to think and act rationally or like a human can be called Artificial Intelligence. Artificial intelligence is a subset of data science that gives life to a machine. Data scientists perform predictive data analysis based on […].

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Creating Mathematical Animations in Python using Manim

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Mathematics is a core subject that helps us to solve Engineering, Scientific and Economic problems. It is used in a variety of fields and disciplines. So we can say that without mathematics, we can not do anything. and mathematics is becoming a […]. The post Creating Mathematical Animations in Python using Manim appeared first on Analytics Vidhya.

Python 270
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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.

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A Guide on Cloud Access Security Broker (CASB)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Cloud Access Security Brokers (CASB) are security applications that help organizations manage and secure data stored in the cloud. Gartner recommends that organizations look for a “Goldilocks” CASB solution that provides the best experience for SaaS applications and cloud infrastructure.

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What is AWS Config?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to AWS Config It can be easy to forget alerts in your AWS account’s health dashboard, even though you might want to check one particular alert. In particular, if you use AWS Config, the upcoming September 15, 2021, changes may stop supporting your […]. The post What is AWS Config?

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Advanced SQL for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The article focuses on techniques to deal with a wide range of data types; mastering these can be useful for the user. The article doesn’t focus on the basics of SQL, including standard syntax, functions, and applications but aims to expand the […]. The post Advanced SQL for Data Science appeared first on Analytics Vidhya.

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How Does Amazon SNS Work?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Amazon Simple Notification Service (SNS) is a managed service that delivers messages from publishers to subscribers (also known as producers and consumers). Publishers communicate asynchronously by sending messages on a topic that serves as a logical access point and communication route for […].

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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!

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Understanding the need for DBMS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A Database is a collection of inter-related data, and a Database Management System is a set of programs that helps users create and maintain this data. DBMS is a computer-based data record-keeping system. DBMS provides enhanced security for storing and retrieving data […].

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Reduce Retraining by Recycling Prompts

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Empirical evidence suggests that the large language models (LLMs) perform better on downstream tasks. And with the help of parameter-efficient methods, a single frozen pre-trained LLM can be leveraged to execute various tasks by learning task-specific soft prompts that modulate model behavior […].

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Most Asked Interview Questions on Apache Spark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark’s in-memory data processing capabilities make it 100 times faster than Hadoop. It has the ability to process a huge amount of data in such a short period. The most […].

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Google Dataproc Functionalities and Use Cases

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Let’s say you want to create some clusters as fast as possible with less money. What services will you choose? This is when Google Dataproc became the ideal tool that disables clusters when not in use and saves you money and time. […]. The post Google Dataproc Functionalities and Use Cases appeared first on Analytics Vidhya.

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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.

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20 Most Asked Interview Questions of Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Companies are trying to disrupt the technological and business market by introducing new and smart products and techniques in society by adopting new age-technologies like Artificial intelligence and Machine learning. Each organization is searching for well-talented and experienced people who can serve […].

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Product Quantization: Nearest Neighbor Search

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction K nearest neighbor or KNN is one of the most famous algorithms in classical AI. KNN is a great algorithm to find the nearest neighbors and thus can be used as a classifier or similarity finding algorithm. KNN is great until we […]. The post Product Quantization: Nearest Neighbor Search appeared first on Analytics Vidhya.

Algorithm 254
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What is Azure Batch Service?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Mainframes and punch cards were the first to be used for batch processing, leading to the discovery of Microsoft Azure Batch Services: Compute Management Platform. It is still used in business, engineering, science, and other fields that require a large number of […].