Sat.Oct 29, 2022 - Fri.Nov 04, 2022

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An Introduction to MongoDB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction When we hear the word “DATABASE”, the first thought that comes to our mind is SQL! No doubt, SQL and relational databases are widely popular and used extensively for storing data. Many kinds of literature, articles, and tutorials are on them internet-wide due to […].

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Scoring More Goals in Football with AI: Predicting the Likelihood of a Goal Based on On-the-Field Events

DataRobot Blog

Can artificial intelligence predict outcomes of a football (soccer) game? In a special project created to celebrate the world’s biggest football tournament, the DataRobot team set out to determine the likelihood of a team scoring a goal based on various on-the-field events. My Dad is a big football (soccer) fan. When I was growing up, he would take his three daughters to the home games of Maccabi Haifa, the leading football team in the Israeli league.

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Robots That Write Their Own Code

Google Research AI blog

Posted by Jacky Liang, Research Intern, and Andy Zeng, Research Scientist, Robotics at Google A common approach used to control robots is to program them with code to detect objects, sequencing commands to move actuators, and feedback loops to specify how the robot should perform a task. While these programs can be expressive , re-programming policies for each new task can be time consuming, and requires domain expertise.

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DALL·E API Now Available in Public Beta

OpenAI

Starting today, developers can begin building apps with the DALL·E API. Read documentation Developers can now integrate DALL·E directly into their apps and products through our API. More than 3 million people are already using DALL·E to extend their creativity and speed up their workflows, generating over 4 million images a day. Developers can start building with this same technology in a matter of minutes.

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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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Amazon Sagemaker Tool for MLOps

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Learning its tools is one way to start having a hands-on understanding of MLOps. Understanding the tools makes the concept more practical and easy to grasp. MLOps finds its importance in place of model deployment. In this article, we will briefly see […]. The post Amazon Sagemaker Tool for MLOps appeared first on Analytics Vidhya.

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Coreference Resolution in spaCy

Explosion

In everyday conversation, we use pronouns or other expressions to refer to entities in many different ways, but we effortlessly understand these references. In NLP this is a challenging problem known as Coreference Resolution. In this video, we’ll show how to train spaCy’s new component for Coreference Resolution and how to apply the pipeline to resolve references in a text.

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How Can AI Enhance Your Content-Creation Process?

Dlabs.ai

How much time do you spend creating content each day? You may have the same answer as most content creators, “Too much.” In order to meet high demands for content, writers usually have to deal with bulk content creation within strict deadlines. They are more likely to cut every corner to get the process done quickly. The downside to this approach is that Google and other search engines are getting better at spotting boring and thin content.

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Top 9 Most Tricky Interview Questions on OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The abbreviation of OpenCV is Open Source Computer vision which is a library that one can use for performing image processing operations and real-world computer vision tasks. The career path for whoever chooses OpenCV as the tool is computer vision developer or […].

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DALL·E API now available in public beta

OpenAI

Starting today, developers can begin building apps with the DALL·E API.

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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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Beyond Tabula Rasa: Reincarnating Reinforcement Learning

Google Research AI blog

Posted by Rishabh Agarwal, Senior Research Scientist, and Max Schwarzer, Student Researcher, Google Research, Brain Team Reinforcement learning (RL) is an area of machine learning that focuses on training intelligent agents using related experiences so they can learn to solve decision making tasks, such as playing video games , flying stratospheric balloons , and designing hardware chips.

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Explaining Sparse Datasets with Practical Examples

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever encountered an “out-of-memory” error while working on a dataset? It’s pretty frustrating, right? Sometimes even after successfully loading and reading data, you run out of memory amid data processing operations! Ever wondered what may be the reason behind this […].

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AWS Storage: Cost Optimization Principles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data is the most crucial aspect contributing to the business’s success. Organizations are collecting data at an alarming pace to analyze and derive insights for business enhancements. The abundant requirement for data collection made cloud data storage an unavoidable option concerning the […].

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Top 15 Important Machine Learning Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – Unsplash Introduction An interview process for roles like machine learning engineer and/or data scientist positions often includes multiple rounds. These rounds tend to access the candidate’s theoretical and practical concepts brutally. An important point to note here is that most tech […].

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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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Interview Questions on AdaBoost Algorithm in Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction AdaBoost is a boosting algorithm used in data science. It is one of the best-performing and widely used algorithms. In data science interviews, there are lots of questions asked related to the AdaBoost algorithm, whether a working mechanism, the mathematics behind it, […].

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Learn to Use Nami Wallet

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The Cardano blockchain is one of the crypto ecosystem’s most popular and in-demand projects. The Cardano blockchain has been under continuous development, with new decentralized applications (dapps) being built on the blockchain. The Cardano blockchain is not EVM-compatible.

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An Introduction to BigBird

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva|Arxiv Introduction In 2018 GoogleAI researchers developed Bidirectional Encoder Representations from Transformers (BERT) for various NLP tasks. However, one of the key limitations of this technique was the quadratic dependency, due to which the BERT-like model can handle sequences of 512 tokens […].

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Introduction to DistilBERT in Student Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018, GoogleAI researchers released the BERT model. It was a fantastic work that brought a revolution in the NLP domain. However, the BERT model did have some drawbacks i.e. it was bulky and hence a little slow. To navigate […]. The post Introduction to DistilBERT in Student Model 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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Kwenta- A Decentralized Derivatives Trading Platform

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Decentralization is still in its infancy. A number of analysts predict that decentralization will disrupt several industries and sectors. As a result, many decentralized products have been launched and developed such as decentralized exchanges, decentralized lending, borrowing products, and many more.

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Outliers Detection Using IQR, Z-score, LOF and DBSCAN

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.4 Introduction Are you dealing with outliers? Thinking about which method is better for detecting outliers for skewed or normally distributed data? Which methods will work well if data density is not the same through the dispersion? Identification of outliers? Etc. Guys, this article […].

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Relationship Between Facebook and Big Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source – Unsplash You must often receive birthday notifications from Facebook, like “Amit Pathak and 4 others have their birthday today” What is so special about this notification? When you look closely at all these birthday notifications, you will find that the name […].

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How to Make an Image Classification Model Using Deep Learning?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the 21st century, the world is rapidly moving towards Artificial Intelligence and Machine Learning. Various robust AI Models have been made that perform far better than the human brain, like deepfake generation, image classification, text classification, etc. Companies are investing vast […].

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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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Databases- What Are They and Why You Need One?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Databases are collections of data that computers can access. They are used to store information such as customer records, employee records, and product information. Databases can be divided into two types: relational and non-relational. Relational databases store data in tables that are […].

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Amazon S3: Everything You Need to Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction Amazon Web Services (AWS) is a cloud computing platform offering a wide range of services coming under domains like networking, storage, computing, security, databases, machine learning, etc. AWS has seven types of storage services which include Elastic Block Storage […].

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Comprehensive Guide to BERT

Analytics Vidhya

Introduction Ever wondered how the text suggestions are automatically generated when you start googling? If you have, you are at the right place to explore it. Any guesses how? Yes, you got it! It’s the beauty of Natural Language Processing’s Transformers. A Quick Recap of Transformers in NLP A transformer has rapidly become the dominant […]. The post Comprehensive Guide to BERT appeared first on Analytics Vidhya.

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Explainable Artificial Intelligence (XAI) for AI & ML Engineers

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hello AI&ML Engineers, as you all know, Artificial Intelligence (AI) and Machine Learning Engineering are the fastest growing filed, and almost all industries are adopting them to enhance and expedite their business decisions and needs; for the same, they are working on various aspects […].

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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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Hyperparameter Tuning Using Randomized Search

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Pexels Introduction Hyperparameter tuning or optimization is important in any machine learning model training activity. The hyperparameters of a model cannot be determined from the given datasets through the learning process. However, they are very crucial to control the learning process itself. […].

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Most Frequently Asked Interview Questions on KNN Algorithm

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction KNN stands for K-Nearest Neighbors, the supervised machine learning algorithm that can operate with both classification and regression tasks. KNN is often one of the hot topics in the interviews when the panel is interested in someone who can deal with sparse […].

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End to End Guide to SushiSwap- A Decentralized Exchange

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A decentralized exchange (DEX) enables you to exchange (trade) crypto assets in a decentralized and secure manner. Decentralized Exchanges have evolved over time with new and unique features being implemented in the DEX. Cross-chain transfer of assets is one of the latest […].