Sat.Oct 15, 2022 - Fri.Oct 21, 2022

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Blockchain and Deploying Applications on Docker and Kubernetes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Niti Ayog, one of the transforming national institutions, has published an article on Blockchain use cases in India. Few questions about Blockchain, why Blockchain, and how we can deploy our applications through the docker and Kubernetes we should know. Objectives We will discuss […].

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3 AI Trends from the Big Data & AI Toronto Conference

DataRobot Blog

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. The DataRobot expo booth at the 2022 conference showcased our AI Cloud platform with industry-specific demonstrations including Anti-Money Laundering for Financial Services , Predictive Maintenance for Manufacturing and Sales Forecasting for Retail.

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Digital transformation with Google Cloud

DeepMind

We’ve partnered with Google Cloud over the last few years to apply our AI research for making a positive impact on core solutions used by their customers. Here, we introduce a few of these projects, including optimising document understanding, enhancing the value of wind energy, and offering easier use of AlphaFold.

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What went wrong with Tay, the Twitter bot that turned racist?

Kavita Ganesan

Of late, we’ve been hearing about Twitter bots in the news due to the whole saga of Elon Musk buying Twitter. One of the reasons the deal took so long to pan out was Musk’s concerns about the number of spam bots running rampant on the platform. While Musk believes that bots make up more than 20% of accounts on Twitter, Twitter states that the number of bots on its platform is marginal.

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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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An Overview of Graph Machine Learning and Its Working

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Graph machine learning is quickly gaining attention for its enormous potential and ability to perform extremely well on non-traditional tasks. Active research is being done in this area (being touted by some as a new frontier of machine learning), and open-source libraries […].

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medspacy v1.0

Explosion

Library for clinical NLP with spaCy. Contribute to medspacy/medspacy development by creating an account on GitHub.

NLP 40
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What We Learned Auditing Sophisticated AI for Bias

O'Reilly Media

A recently passed law in New York City requires audits for bias in AI-based hiring systems. And for good reason. AI systems fail frequently, and bias is often to blame. A recent sampling of headlines features sociological bias in generated images , a chatbot , and a virtual rapper. These examples of denigration and stereotyping are troubling and harmful, but what happens when the same types of systems are used in more sensitive applications?

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Data Science Tools for Vaccine Design and Development

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Biopharmaceutical Industries are the fastest growing industries after considering the basic need for the healthy life of humans and animals. Based on the available literature, the author has identified six major thrust areas of the Biopharmaceutical industry, which has summarized in the […].

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Top 9 Most Frequently Asked Interview Questions on SVM

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Support vector machine is one of the most famous and decorated machine learning algorithms in classification problems. The heart and soul of this algorithm is the concept of Hyperplanes where these planes help to categorize the high dimensional data which are either […].

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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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COVID-19 Diagnosis with Cough Audio Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Cough Audio analysis, one of the breakthroughs of AI in healthcare, often proves valuable in diagnosing respiratory and lung diseases. COVID-19 (Coronavirus Disease 2019) has had devastating effects on humanity, making early detection in patients imperative for its treatment.

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FILM Model: Scale-Agnostic NN Architecture for Creating High-Quality Slow-Motion Videos

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction The GoogleAI researchers presented a frame interpolation algorithm synthesising a sharp slow-motion video […]. The post FILM Model: Scale-Agnostic NN Architecture for Creating High-Quality Slow-Motion Videos appeared first on Analytics Vidhya.

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Natural Language Processing to Detect Spam Messages

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most existing research on Twitter spam focuses on account blocking or identifying and blocking spam users or spammers. To detect spam users, we can use traditional machine learning algorithms that use information from users’ tweets, demographics, shared URLs, and social connections as features. […].

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How AI Can Improve Your Life In The Next 5 Years?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence is one of the most talked-about technologies in recent years. It has been a hot topic for many tech companies, investors, and entrepreneurs who are trying to find ways to use it to improve their businesses or lives. However, not […]. The post How AI Can Improve Your Life In The Next 5 Years?

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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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Most Commonly Asked Rest APIs Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Representational State Transfer (REST) is an architectural paradigm for designing online applications based on the Hypertext Transfer Protocol (HTTP). A REST API, often known as a RESTful API, adheres to REST principles. In a REST API, all data are represented by a […].

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Face Detection using Haar-Cascade using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hey Folks !! In this article, we will discuss implementing a face detector using Haar Cascade in OpenCV python. In the last article, we talked about real-time object classification; if you haven’t checked it yet, the link is here. Identifying a given […]. The post Face Detection using Haar-Cascade using Python appeared first on Analytics Vidhya.

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Dealing with Sparse Datasets in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Missing data in machine learning is a type of data that contains null values, whereas Sparse data is a type of data that does not contain the actual values of features; it is a dataset containing a high amount of zero or […]. The post Dealing with Sparse Datasets in Machine Learning appeared first on Analytics Vidhya.

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The Need for Data Warehouse and Its Alternatives

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data from different sources are brought to a single location and then converted into a format that the data warehouse can process and store. For example, a company stores data about its customers, products, employees, salaries, sales, and invoices. A boss may […].

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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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Beginners’ Guide to a NFT Marketplace: Magic Eden

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction NFTs, NFTs, NFTs! If you have been in the crypto space for even a short period, you may have heard of the term NFTs. NFTs are Non-Fungible tokens (in detailed explanation in the following section). NFTs have grown so popular that several […]. The post Beginners’ Guide to a NFT Marketplace: Magic Eden appeared first on Analytics Vidhya.

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10 Important Questions for Cracking a Data Science Interview

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction You may be asked questions on various topics in a data science interview. These include statistics, machine learning, probability, data visualization, data analysis, and behavioral questions. Besides these, your coding abilities are also tested by asking you to solve a problem, and […].

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Interview Questions on Semantic-based Data Mining

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data mining is extracting relevant information from a large corpus of natural language. Large data sets are sorted through data mining to find patterns and relationships that may be used in data analysis to assist solve business challenges. Thanks to data mining […].

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AWS VPC: Creating Your own Virtual Private Network on Cloud

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction There are several reasons organizations should use cloud computing in the modern world. Businesses of all sizes are switching to the cloud to manage risks, improve data security, streamline processes and decrease costs, or other reasons. Many services are available from top cloud […].

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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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Most Commonly Asked Web 3.0 Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: techdemand.io Introduction Web 3.0 may be just as disruptive and usher in a huge paradigm change as Web 2.0. Web 3.0 is based on the fundamental concepts of decentralization, openness, and increased consumer utility. Web 3.0, often known as Web 3, is […]. The post Most Commonly Asked Web 3.0 Interview Questions appeared first on Analytics Vidhya.

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Top Data Lakes Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A data lake is a centralized repository for storing, processing, and securing massive amounts of structured, semi-structured, and unstructured data. It can store data in its native format and process any type of data, regardless of size. Data Lakes are an important […].

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Cloud Cryptography: A Reliable Solution to Secure your Cloud

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A business can employ IT services offered on the internet by using cloud computing rather than maintaining its physical servers. Popular cloud computing services include Google Cloud, Amazon Web Services (AWS), and Microsoft Azure. Cloud technology has more effects on our lives […].

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AWS ECS- Amazon’s Container Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We may have heard much about using Containers in IT, especially in Cloud environments. But what exactly are these containers? In the field of information technology, a container is like a typical container you could encounter in daily life. It only holds […]. The post AWS ECS- Amazon’s Container Tool 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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Multi-Layer Perceptrons: Notations and Trainable Parameters

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Neural networks (Artificial Neural Networks) are methods or algorithms that mimic a human brain’s operations to solve a complex problem that a normal algorithm can’t solve. A Perceptron in neural networks is a unit or algorithm which takes input values, weights, and […].

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Complete Guide on Getting Started with Blockchain Technology

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction An electronic log of all bitcoin transactions is known as a blockchain. It keeps expanding when new blocks of recordings are uploaded to it as7 “finished” chunks. Each block includes transaction information, a timestamp, and a cryptographic hash of the one before […].

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Optimization Essentials for Machine Learning

Analytics Vidhya

Overview There are 4 mathematical pre-requisite (or let’s call them “essentials”) for Data Science/Machine Learning/Deep Learning, namely: Probability & Statistics Linear Algebra Multivariate Calculus Convex Optimization Introduction In this article, we are going to discuss the following questions: Why should I bother about Optimization in ML?