Sat.Oct 08, 2022 - Fri.Oct 14, 2022

article thumbnail

A Quick Guide to Blockchain: Merkle Tree

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A Merkle tree is a basic component of blockchain technology. It is a mathematical data structure composed of hashes of different data blocks that serve as a summary of all transactions in the block. It also enables efficient and secure verification of […]. The post A Quick Guide to Blockchain: Merkle Tree appeared first on Analytics Vidhya.

article thumbnail

Stopping malaria in its tracks

DeepMind

When biochemist Matthew Higgins established his research group in 2006, he had malaria firmly in his sights. The mosquito-borne disease is second only to tuberculosis in terms of its devastating global impact. Malaria killed an estimated 627,000 people in 2020, mostly children under five, and almost half of the world’s population is within its reach, though Africa is by far the hardest hit.

57
professionals

Sign Up for our Newsletter

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

article thumbnail

6 ways sentiment analysis will help your business

Dlabs.ai

These days, companies compete to create the most innovative solutions, products, and offers possible, hoping to win new customers. But are they based on ideas alone? Or actual user needs? As it turns out, it looks like the former because research shows that 56% of consumers believe businesses need a deeper understanding of what they want. This is where sentiment analysis can help.

article thumbnail

Using Artificial Intelligence as a Powerful Cybersecurity Tool

Defined.ai blog

Fight sophisticated cyber attacks with AI and ML When “virtual” became the standard medium in early 2020 for business communications from board meetings to office happy hours, companies like Zoom found themselves hot in demand. They also became prime targets for the next big cyberattack. In the case of Zoom, hackers succeeded in April 2020, with a large data breach that exposed an estimated 500,000 user passwords.

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

Famous Concurrency Problems in DBMS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Concurrency in DBMS refers to the ability of the system to support multiple transactions concurrently without any data loss or corruption. In a concurrent system, numerous transactions can access and modify the data simultaneously. Each transaction is isolated from other transactions, so […].

More Trending

article thumbnail

Paper Summary #7 - Efficient Transformers: A Survey

Shreyansh Singh

Paper : Efficient Transformers: A Survey Link : [link] Authors : Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler I wanted to summarize this paper for a long time now because of the immense amount of information in this paper. Thanks to the Cohere For AI community for having a session on this paper which made me revisit this. What? This is a survey paper on the various memory-efficiency based improvements on the original Transformers architecture by Vaswani et al.

AI 52
article thumbnail

How the Guardian approaches quote extraction with NLP

Explosion

A case study of the Guardian's spaCy-Prodigy workflow to modularize quote extraction for content creation. This study includes iterative annotation guidelines and custom interface functionality.

NLP 40
article thumbnail

Frequently Asked Interview Questions on Naive Bayes Classifier

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We, as data science and machine learning enthusiasts, have learned about various algorithms like Logistic Regression, Linear Regression, Decision Trees, Naive Bayes, etc. But at the same time, are we preparing for the interviews? As we know, the end goal is to […].

article thumbnail

Measuring perception in AI models

DeepMind

Perception – the process of experiencing the world through senses – is a significant part of intelligence. And building agents with human-level perceptual understanding of the world is a central but challenging task, which is becoming increasingly important in robotics, self-driving cars, personal assistants, medical imaging, and more. So today, we’re introducing the Perception Test, a multimodal benchmark using real-world videos to help evaluate the perception capabilities of a model.

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

What Is Hyperautomation?

O'Reilly Media

Gartner has anointed “Hyperautomation” one of the top 10 trends for 2022. Should it be? Is it a real trend, or just a collection of buzzwords? As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” And it’s never bubbled up far enough into our consciousness to make it into our monthly Trends piece.

article thumbnail

Delegate.cash Contract Review

StreamHacker

Delegate.cash is a new protocol intended to make airdrops and token claims safer. If you have vaulted NFTs, you strongly want to avoid using that vault wallet to interact with any contracts. And if you have to move NFTs back & forth between your vault wallet and hot wallet to make claims, then you probably won’t. foobar , one of the authors of delegate.cash, has a great write up on why this kind of protocol needs to exist.

52
article thumbnail

ASR2K: Speech Recognition Pipeline to Recognize Languages

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Most recent speech recognition models often rely on large supervised datasets, which are unavailable for many low-resource languages; this poses a challenge in creating a speech recognition model inclusive of all languages. To address this, researchers from Carnegie Mellon University have […].

article thumbnail

Can You Estimate How Long It Will Take McLaren Formula 1 Team to Complete a Race Through ML and Human Intelligence?

DataRobot Blog

Are you new to Formula 1? Want to learn how AI/ML can be so effective in this space? 3. 2.1. Let’s begin! F1 is one of the most popular sports in the world and is also the highest class of international racing for open-wheeled single-seater formula racing cars. Made up of 20 cars from 10 teams, the sport has only become more popular after all the recent documentaries on drivers, team dynamics, car innovations, and the general celebrity level status that most races and drivers receive across the

ML 52
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

Everything You Must Know About Koalas!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A key aspect of big data is data frames. Pandas and Spark are two of the most popular types. However, Spark is more suited to handling scaled distributed data, whereas Pandas is not. In contrast, Pandas’ APIs and syntax are easier to use. What […]. The post Everything You Must Know About Koalas!

Big Data 395
article thumbnail

Top 10 Interview Queries on SQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the advancement of technology and data, job opportunities are increasing rapidly. Nowadays, everyone is more interested in implementing practical knowledge than notebook theories. Likewise, interviewers are also getting smarter, now, they are no longer interested in knowing what SQL is, what […].

article thumbnail

Detecting If a Person is Wearing a Mask or Not Using CNN

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will create a Mask v/s No Mask classifier using CNN and Machine Learning Classifiers. It will detect whether a person is wearing a face mask or not. We will learn everything from scratch, and I will explain every […]. The post Detecting If a Person is Wearing a Mask or Not Using CNN appeared first on Analytics Vidhya.

article thumbnail

Top Ten YouTube Channels On Data Science

Analytics Vidhya

Introduction One of the most crucial and in-demand talents in 2022 is Data Science. To accommodate this need, more and more businesses are starting to offer boot camps while universities are creating new courses. However, tons of resources are available over the internet for free, and deciding where to go to find the best resources […]. The post Top Ten YouTube Channels On Data Science appeared first on Analytics Vidhya.

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

What is Cloud Analytics and Its Importance?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The distribution of computer services through the internet is known as cloud computing. Businesses can adopt the cloud computing paradigm, where they can rent IT equipment and services instead of purchasing and operating their data centers. These services cover everything from basic infrastructures […].

article thumbnail

Graph Database Cheatsheet

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A graph database is a specialized, one-of-a-kind platform for creating and manipulating graphs. Graphs have nodes, edges, and properties that represent and store data in ways relational databases cannot. Another commonly used term is graph analytics, which refers to analyzing data in […].

article thumbnail

How Does Text Mining Tell a Lot About Brand Image?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A vast amount of textual data is generated daily through posts, likes, and tweets by social networking sites such as Facebook, Instagram, and Twitter. This data contains a lot of information we can harness to generate insights. Still, most of this data is […]. The post How Does Text Mining Tell a Lot About Brand Image?

article thumbnail

Delta Lake in Action – Quick Hands-on Tutorial for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the modern data world, Lakehouse has become one of the most discussed topics for building a data platform. Enterprises have slowly started adopting Lakehouses for their data ecosystems as they offer cost efficiencies of data lakes and the performance of warehouses. […].

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

A Brief Introduction to Apache HBase and it’s Architecture

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Since the 1970s, relational database management systems have solved the problems of storing and maintaining large volumes of structured data. With the advent of big data, several organizations realized the benefits of big data processing and started choosing solutions like Hadoop to […].

Big Data 343
article thumbnail

Warehouse, Lake or a Lakehouse – What’s Right for you?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most of you would know the different approaches for building a data and analytics platform. You would have already worked on systems that used traditional warehouses or Hadoop-based data lakes. Some of you might have also read about Lakehouses. Selecting one among […].

article thumbnail

Data Abstraction for Data Engineering with its Different Levels

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A data model is an abstraction of real-world events that we use to create, capture, and store data in a database that user applications require, omitting unnecessary details. As mentioned earlier, when determining requirements, we collect information about different business processes and […].

article thumbnail

SQL and PL/SQL – An Unmissable Comparison

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The essential element for any organization’s operation is data. Data is getting significant and gaining more traction by the day. Hence it is required to store such a large amount of data carefully. This brings up databases, and SQL and PL/SQL stand […]. The post SQL and PL/SQL – An Unmissable Comparison appeared first on Analytics Vidhya.

article thumbnail

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.

article thumbnail

The Understated Art of Data Storytelling

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Data Storytelling Storytelling is a beautiful legacy that is a part of our great Indian culture, from the legendary Mahabharata era to Puranas and Jataka fables. Stories have been an imminent part of childhood, and the most important morals and values […]. The post The Understated Art of Data Storytelling appeared first on Analytics Vidhya.

article thumbnail

How to Predict the Election Result With a Coin?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Photo by Clay Banks on Unsplash Introduction Predicting events and happenings has been an interesting skill for humans since the dawn of civilization and remains so today. This ability has been so attractive to many that they have selected the career of “prophecy” for themselves, […].

article thumbnail

Exploratory Data Analysis Using Einblick

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis, or EDA, examines the data and identifies potential relationships between variables using numerical summaries and visualisations. We use summary statistics and graphical tools to get to know our data and understand what we may deduce from them during EDA. […].