Sat.Jun 18, 2022 - Fri.Jun 24, 2022

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Most Frequently Asked Google Big Query Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Big Query is a serverless enterprise data warehouse service fully managed by Google. Big Query provides nearly real-time analytics of massive data. A big Query data warehouse provides global availability of data, can be easily connected to the other Google Services and […].

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Leading a movement to strengthen machine learning in Africa

DeepMind

Avishkar Bhoopchand, a research engineer on the Game Theory and Multi-agent team, shares his journey to DeepMind and how he’s working to raise the profile of deep learning across Africa.

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Nonprofit Boards are Weird

Cold Takes

Click lower right to download or find on Apple Podcasts, Spotify, Stitcher, etc. Note: anything in this post that you think is me subtweeting your organization is actually about, like, at least 3 organizations. (I'm currently on 4 boards in addition to Open Philanthropy 's; I've served on a bunch of other boards in the past; and more than half of my takes on boards are not based on any of this, but rather on my interactions with boards I'm not on via the many grants made by O

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The AI Contribution to Decision-Making

DataRobot Blog

A loan application has a predicted likelihood of 80% of going bad – so what? Your artificial intelligence (AI) system has given you this “predicted feature” in addition to what you already know about the applicant. It is one of many features that a human would use to make a decision to accept or decline the application. Business rules set by the credit committee to control business risk and the loan portfolio also constrain accepting this application and advancing the loan.

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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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Multi-Table Analysis with MYSQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on MYSQL In this article, we will see how to work with multiple tables. Learning SQL is very important nowadays. It is a very popular technology that most companies are using. SQL queries are used for querying tables in the process of data analysis. […]. The post Multi-Table Analysis with MYSQL appeared first on Analytics Vidhya.

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Learning to play Minecraft with Video PreTraining

OpenAI

We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With fine-tuning, our model can learn to craft diamond tools, a task that usually takes proficient humans over 20 minutes (24,000 actions). Our model uses the native human interface of keypresses and mouse movements, making it quite general, and represents a step towards general computer-using agents.

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No Code AI Apps: Time Series What-If Scenarios

DataRobot Blog

The last few years have been plagued with uncertainty, making it difficult to navigate everyday life, let alone plan and make thoughtful decisions for a business. When facing unprecedented challenges, it’s clearer than ever that while the predictions from your AI models are important, the insights we gather and leverage from them to inform the decisions we make are even more so.

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Understanding Loss Function in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The loss function is very important in machine learning or deep learning. let’s say you are working on any problem and you have trained a machine learning model on the dataset and are ready to put it in front of your client. […]. The post Understanding Loss Function in Deep Learning appeared first on Analytics Vidhya.

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BYOL-Explore: Exploration with Bootstrapped Prediction

DeepMind

We present BYOL-Explore, a conceptually simple yet general approach for curiosity-driven exploration in visually-complex environments. BYOL-Explore learns a world representation, the world dynamics, and an exploration policy all-together by optimizing a single prediction loss in the latent space with no additional auxiliary objective. We show that BYOL-Explore is effective in DM-HARD-8, a challenging partially-observable continuous-action hard-exploration benchmark with visually-rich 3-D environ

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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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Introducing Span Categorization in Prodigy and spaCy

Explosion

In this video, we’ll show you how to use Prodigy for spaCy’s Span Categorizer. We’ll be annotating food recipes and looking into ways to help with consistent annotations and speed up the process with patterns and temporary models.

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Google’s latest Language Model: LaMDA. A conscious machine or another marketing tool?

James Thorn

Reflections on machine intelligence Continue reading on Medium »

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Data Science in Web 3.0

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Web 3.0 As a result of centralization, the Internet has been able to serve billions of users and build a solid foundation upon which it can continue to thrive. At the same time, the World Wide Web is controlled by a few […]. The post Data Science in Web 3.0 appeared first on Analytics Vidhya.

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BYOL-Explore: Exploration with Bootstrapped Prediction

DeepMind

We present BYOL-Explore, a conceptually simple yet general approach for curiosity-driven exploration in visually-complex environments. BYOL-Explore learns a world representation, the world dynamics, and an exploration policy all-together by optimizing a single prediction loss in the latent space with no additional auxiliary objective. We show that BYOL-Explore is effective in DM-HARD-8, a challenging partially-observable continuous-action hard-exploration benchmark with visually-rich 3-D environ

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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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AI for Real Estate Investment

DataRobot Blog

How do you determine which real estate investment decision is better than another? Many real estate players have long made decisions based on intuition coupled with analyzing traditional key retrospective data. That traditional approach normally included analyzing how real estate property assets performed in the past but also often looking for market trends.

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Train, Validation, and Test sets in Machine Learning

James Thorn

Explained with an everyday example Continue reading on Medium »

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Is Adult Income Dataset Imbalanced?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Introduction How many rows of sample data are required (or what should be the size of the training dataset required) to build a machine learning model that can predict fraudulent transactions in a credit card fraud detection dataset containing around 284407 rows? […]. The post Is Adult Income Dataset Imbalanced?

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Top 10 Web 3.0 Technologies that will Shape our Future World

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The internet has come a long way since Web 1.0. Hypertext Markup Language (HTML) defines the layout and delivery of websites in Web 1.0 and Web 2.0 technologies. With Web 3.0, HTML will remain a core layer, but how it connects to […]. The post Top 10 Web 3.0 Technologies that will Shape our Future World 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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Single Table Analysis with MYSQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on SQL In this article, we will see how to use SQL statements for data analysis. Data analysis can be done on only single tables or on multiple tables. In this particular article, we will mainly focus on only a single table analysis. […]. The post Single Table Analysis with MYSQL appeared first on Analytics Vidhya.

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Differences Between Web 2.0 and Web 3.0

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you have been paying close attention to the blockchain industry, then you have undoubtedly been familiar with the words “Web 2.0” and “Web 3.0.” There’s a good chance that you’re confused about the precise meaning of these phrases and how they […].

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Data Engineering – A Journal with Pragmatic Blueprint

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Data Engineering In recent days the consignment of data produced from innumerable sources is drastically increasing day-to-day. So, processing and storing of these data has also become highly strenuous. Emerging technologies such as Data Engineering, Artificial Intelligence and Machine learning algorithms help us to handle […].

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Which is better? Bitcoin Vs Ethereum

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will see the two main cryptocurrencies, Bitcoin and Ethereum. Let us learn about them. What differences do they have and which coin is best for investment and what makes that particular coin better. Nowadays cryptocurrencies are quite popular. […].

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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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GATO – A New Generalist Artificial Intelligence Agent

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The simulation of human intelligence processes by machines, particularly computer systems, is known as artificial intelligence. Expert systems, natural language processing, speech recognition, machine learning, and machine vision are examples of AI applications. For these above tasks, we are using different types […].

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Data Visualisation: Alluvial Diagram vs. Sankey Diagram

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most people tend to have a very minimal set of information about Alluvial and Sankey diagrams. The reality is that the two diagrams have superficial similarities to each other. On the flip side, the two diagrams are completely different, underlying superficial assumptions. […].

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Speed up Pandas in Python with Modin

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Speeding up Pandas in Python Pandas is the most popular library in python for Data Science. It is essential for anyone doing anything related to the data processing to know. This Link provides a lot of ways to use the library. However, […]. The post Speed up Pandas in Python with Modin appeared first on Analytics Vidhya.

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Handling Streaming Data with Apache Kafka – A First Look

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction When we mention BigData, one of the types of data usually talked about is the Streaming Data. Streaming Data is generated continuously, by multiple data sources say, sensors, server logs, stock prices, etc. These records are usually small and in the order […]. The post Handling Streaming Data with Apache Kafka – A First Look 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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The Most Comprehensive Guide On Explainable AI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Explainable AI I love artificial intelligence and I like to delve into it a lot in all or all aspects, and I do the follow-up every day to see what is new in this field. I made the latest update to […]. The post The Most Comprehensive Guide On Explainable AI appeared first on Analytics Vidhya.

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Want to learn Blockchain? Start Your Journey Here!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Blockchain In this article, we will learn about blockchain, what is blockchain, how transactions are made, and how bitcoin transactions are made. Nowadays we are hearing about many attacks on computer system security. There is no guaranteed security. This is where blockchain […].

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Getting started with Apache Pig!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction After reading the heading Apache Pig, the first question that hits every mind is, why the word Pig? Apache Pig is capable of working on any kind of data, similar to a pig who can eat anything. Pig is nothing but a […]. The post Getting started with Apache Pig! appeared first on Analytics Vidhya.