Sat.Sep 10, 2022 - Fri.Sep 16, 2022

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Blockchain Technology and its Types

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].

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How our principles helped define AlphaFold’s release

DeepMind

Our Operating Principles have come to define both our commitment to prioritising widespread benefit, as well as the areas of research and applications we refuse to pursue. These principles have been at the heart of our decision making since DeepMind was founded, and continue to be refined as the AI landscape changes and grows. They are designed for our role as a research-driven science company and consistent with Google’s AI principles.

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From Deep Learning Foundations to Stable Diffusion

fast.ai

Three years ago we pioneered Deep Learning from the Foundations , an in depth course that started right from the foundations—implementing and GPU-optimising matrix multiplications and initialisations—and covered from scratch implementations of all the key applications of the fastai library.

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Machine Learning Essentials: What is Data Annotation?

Defined.ai blog

Data annotation helps machines make sense of text, video, image or audio data. One of the stand-out characteristics of Artificial Intelligence (AI) is its ability to learn, for better or for worse. It’s this ongoing effort that distinguishes AI from static, code-dependent software. It’s also precisely this ability that makes high-quality annotated data a crucial element in training representative, successful, and bias-free AI models.

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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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Hindi Character Recognition on Android using TensorFlow Lite

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you ever wanted to build an image classifier for text recognition, I’m assuming you probably must have implemented the classic Handwritten Digit Recognition application from TensorFlow’s official examples. Often referred to as the ‘Hello World’ of Computer Vision, it’s a great starting […].

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What Do Data Scientists Do? A Guide to AI Maturity, Challenges, and Solutions

DataRobot Blog

The future of business depends on artificial intelligence and machine learning. According to IDC , 83% of CEOs want their organizations to be more data-driven. 87% of CXOs shared that becoming an intelligent enterprise was their top priority. Data scientists could be your key to unlocking the potential of the Information Revolution—but what do data scientists do?

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NLP for Arabic – The case of lemmatization

Bitext

Arabic is a complex language for NLP tasks, even for simple ones like lemmatization. There are several reasons for this: Arabic creates words based on roots: for example, the word کتاب (kitab, “book”) is derived from ك ت ب (k t b). Many related words are derived from the same root. Arabic can create words, similar to “compounds” but more limited, combining certain POSes, such as prepositions, conjunctions and pronouns, with nouns, adjectives and verbs.

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Upcoming DataHour Sessions: Book your Calendars!

Analytics Vidhya

Introduction Data science is a practical subject that the experts can best explain in the field. To provide our community with a better understanding of how different elements of the subject are used in different domains, Analytics Vidhya has launched our DataHour sessions. These sessions will enhance your domain knowledge and help you learn new […].

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How our principles helped define AlphaFold’s release

DeepMind

Our Operating Principles have come to define both our commitment to prioritising widespread benefit, as well as the areas of research and applications we refuse to pursue. These principles have been at the heart of our decision making since DeepMind was founded, and continue to be refined as the AI landscape changes and grows. They are designed for our role as a research-driven science company and consistent with Google’s AI principles.

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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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Top AI Events To Attend In Fall And Winter 2022

Dlabs.ai

The run-up to Christmas is always full of events in the artificial intelligence industry. We’ve curated a list of the most interesting ones, so you won’t waste time trawling hundreds of websites. We’ve even split the list into three sections — each dedicated to a different month: October, November, and December. Even better, the events are in chronological order, so you can fill up your calendar as you go.

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Understanding Word Embeddings and Building your First RNN Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is one of the hottest fields in the past decade, with applications in industry and research. However, even though it’s easy to delve into the topic, many people are confused by the terminology and end up only implementing neural network […]. The post Understanding Word Embeddings and Building your First RNN Model appeared first on Analytics Vidhya.

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How to Deploy a Machine learning model on AWS EC2

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction AWS is a cloud computing service that provides on-demand computing resources for storage, networking, Machine learning, etc on a pay-as-you-go pricing model. AWS is a premier cloud computing platform around the globe, and most organization uses AWS for global networking and data […].

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How to Use Data to Drive Your Marketing Strategy

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the era of big data, it’s no surprise that more and more marketers are using data science in marketing to better position their brands, products, and services in today’s hyper-competitive marketplace. Source: [link] Four points that you need to take into your […].

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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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Data Warehouses: Basic Concepts for data enthusiasts

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting. It consists of historical and commutative data from single or multiple sources. Most data scientists, big data analysts, and business […].

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All you Need to Know About AutoEncoders in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As the world develops rapidly with advances in machine learning and artificial intelligence, we will soon face a situation of uncontrollable data augmentation. GPUs, TPUs, and other faster storage and processing mechanisms have so far successfully processed vast amounts of data in […].

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Implementing Count Vectorizer and TF-IDF in NLP using PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing is one of the most widely used skills at the enterprise level as it can deal with non-numeric data. As we know machines communicate in either 0 or 1. Still, we as humans communicate in our native languages (English as a […]. The post Implementing Count Vectorizer and TF-IDF in NLP using PySpark appeared first on Analytics Vidhya.

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Data visualization for One-dimensional Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data visualization is the skill that helps us to interpret the data in a creative and intrusive way. Suppose we break down more aspects of data visualization. In that case, we can see it is one of the best ways to draw […]. The post Data visualization for One-dimensional Data appeared first on Analytics Vidhya.

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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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Blockchain : Proof-of-Work (PoW)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Proof-of-Work (PoW) in the blockchain is a consensus mechanism that allows miners to add a new block to the network based on calculations made to find the perfect hash. Network participants verify the transactions added by the new block. For a decentralized […]. The post Blockchain : Proof-of-Work (PoW) appeared first on Analytics Vidhya.

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Introduction to Smart Contracts

Analytics Vidhya

Introduction Smart contracts are a type of digital agreement based on blockchain technology and are executed to form a legal contract between two parties involved. Smart contracts have been in the market even before the advent of blockchain technology. However, recent developments in the blockchain have paved the way to an increasingly secure form of […].

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Implementing a Machine Learning Pipeline Using PySpark Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting the famous machine learning problem statement, i.e. Titanic Survival Prediction, using PySpark’s MLIB. This is one of the best datasets to get started with new concepts as we being machine learning enthusiasts, already are well […].

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The 6 Steps of Predictive Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With technological evolution, data dependence is increasing much faster. Gone are the days when business decisions were primarily based on gut feeling or intuition. Organizations are now employing data-driven approaches all over the world. One of the most widely used data applications […].

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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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How to Detect your Food from Different Images?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We all enjoy food, whether street food or in some restaurants of different varieties. Have you wondered which food to choose with how many calories or anything happens like surfing on the net, and suddenly you look at a food image and don’t […]. The post How to Detect your Food from Different Images?

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Dealing with Outliers Using the IQR Method

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Detecting the outlier is tedious, especially when we have multiple data types. Hence, we have different ways of detecting outliers for different data types. As for normally distributed data, we can get through the Z-Score method similarly; for skewed data, we can […].

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Contextual Spelling Correction of the ASR Systems

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Contextual ASR, which uses a list of biasing terms […]. The post Contextual Spelling Correction of the ASR Systems appeared first on Analytics Vidhya.

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Fast API, Docker and AWS ECS to Deploy Machine Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Deploying is perhaps the second most crucial step in the complete product development life cycle. Deploying models let other members of your organization consume what you have created. For starters, it could appear daunting, but with the right tools, things can be […].

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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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DuckDB: An Introduction

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction DuckDB is designed to support analytical query workloads, also known as Online analytical processing (OLAP).” The duck was chosen as the mascot for this database management system (DBMS) because it is a very versatile animal that can fly, walk and swim. In short, […].

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Frequent Itemset Mining Using MapReduce on Hadoop

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Every Data Science enthusiast’s journey goes through one of the most classical data problems – Frequent Itemset Mining, also sometimes referred to as Association Rule Mining or Market Basket Analysis. Frequent Itemset Mining is one of the most widely used methods for […].

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MLOps and use of Kubernetes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The constant rise prompted organizations to create a system that was implemented by building factories, assembly lines, and other elements of automated production. Soon after, the technology boom saw the emergence of agile systems that automate creation processes. This was achieved by […].