Sat.May 14, 2022 - Fri.May 20, 2022

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How to Approach CNN Architecture from Scratch?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on CNN Architecture Hello, and welcome again to another intriguing subject. As a consequence of the large quantity of data accessible, particularly in the form of photographs and videos, the need for Deep Learning is growing by the day. Many advanced designs […]. The post How to Approach CNN Architecture from Scratch?

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The Berkeley Crossword Solver

BAIR

We recently published the Berkeley Crossword Solver (BCS), the current state of the art for solving American-style crossword puzzles. The BCS combines neural question answering and probabilistic inference to achieve near-perfect performance on most American-style crossword puzzles, like the one shown below: Figure 1: Example American-style crossword puzzle An earlier version of the BCS, in conjunction with Dr.Fill, was the first computer program to outscore all human competitors in the world’s t

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From LEGO competitions to DeepMind's robotics lab

DeepMind

If you want to be at DeepMind, go for it. Apply, interview, and just try. You might not get it the first time but that doesn’t mean you can’t try again. I never thought DeepMind would accept me, and when they did, I thought it was a mistake. Everyone doubts themselves – I’ve never felt like the smartest person in the room. I’ve often felt the opposite.

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Applying Visual AI to Legacy Security Systems

DataRobot Blog

Security inspections are part of modern life. For example, approximately 2.9 million passengers fly in and out of U.S. airports every day according to the Federal Aviation Administration (FAA). More than 150 million Americans attend professional sporting events every year. At events like these, effective and efficient screening of attendees for weapons and contraband must occur to keep individuals safe while providing a high level of service.

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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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An Exploratory Data Analysis Guide for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Exploratory Data Analysis When we start with data science we all want to dive in and apply some cool sounding algorithms like Naive Bayes, XGBoost directly to our data and expects to get some magical results. But we tend to forget that before applying those […].

More Trending

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Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning

DeepMind

In our recent paper, we explore how populations of deep reinforcement learning (deep RL) agents can learn microeconomic behaviours, such as production, consumption, and trading of goods. We find that artificial agents learn to make economically rational decisions about production, consumption, and prices, and react appropriately to supply and demand changes.

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An Introduction to SQL Commands for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to SQL SQL stands for the Structure Query Language. And it is the most popular RDBMS (Relational Database Management System) language used to create, access, and manage databases. It was developed in the year 1970 at IBM. SQL became a standard of the […]. The post An Introduction to SQL Commands for Beginners appeared first on Analytics Vidhya.

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A Guide to Web Scraping Rotten Tomatoes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Web Scraping The data consistently have been fuelling the growth of industries from time immemorial. It is not a new thing. Businesses have always been using data to make decisions to drive their profits up, capture more markets, and stay ahead […]. The post A Guide to Web Scraping Rotten Tomatoes appeared first on Analytics Vidhya.

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Most Important SQL Queries for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQL stands for “Structured Query Language” and is a programming language that is used to query and manipulate relational databases. The number of data points is increasing every minute, but raw data offers no insight. All this data is stored in databases […].

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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security risks before they become problems.

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Multiple Web Scraping Using Beautiful Soap Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Web scraping, is an approach to extract content and data from a website. Web Scraping makes use of intelligence automation methods to draw millions of datasets in a comparatively shorter amount of time. There are ample ways to get data from websites. […]. The post Multiple Web Scraping Using Beautiful Soap Library appeared first on Analytics Vidhya.

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PySpark MLIB Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working withPySpark‘s MLIB library it is commonly known as the Machine learning library of PySpark where we can use any ML algorithm that was previously available in SkLearn (sci-kit-learn). We can perform all the operations which were […].

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Hevo’s Guide on MySQL Views for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. A MySQL view can be defined as a virtual table based on the result of SQL statements, which helps in simplifying the data for analysis and reporting and offers better security. Here is how to create MySQL views and update, drop or rename […]. The post Hevo’s Guide on MySQL Views for Beginners appeared first on Analytics Vidhya.

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Get to Know Apache HBase from Scratch!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Apache HBase With the constant increment of structured data, it is getting difficult to efficiently store and process the petabytes of data. Apache HBase is a column-oriented, open-source NoSQL database, part of the Big data technology stack. To provide a massive amount […].

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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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An Introduction to MapReduce with a Word Count Example

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hadoop facilitates the processing of large datasets in a distributed manner and provides the foundation on which other services and applications can be built. MapReduce and HDFS are the two main components of Hadoop. For a detailed look at HDFS, you can refer […].

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Analysis of the Amplitude Envelopes of Various Music Genre Tracks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to analyze the Amplitude Envelopes of different music genre tracks. This post is inspired by Valerio Valerdo’s work. I strongly advise you to visit his YouTube channel to see his incredible work in the field of […]. The post Analysis of the Amplitude Envelopes of Various Music Genre Tracks appeared first on Analytics Vidhya.

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Scalable Searching with Amazon Elasticsearch Service

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Amazon Elasticsearch Service Amazon Elasticsearch Service is a powerful tool that allows you to perform a number of functions. Let us examine how this powerful tool works behind the scenes. Elasticsearch acts a lot like a database and a distributed system […]. The post Scalable Searching with Amazon Elasticsearch Service appeared first on Analytics Vidhya.

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Everything you Need to Know About Binomial Distribution

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be discussing the binomial distribution where along with the theoretical knowledge of this particular distribution we will also see the practical implementation of the same for that we have to perform an experiment of flipping the coin […].

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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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The DataHour: Create Effective DS Notebooks and Communication

Analytics Vidhya

Dear Readers, We bring you yet another exciting DataHour session for you. This session will be conducted by Martin Henze who is a Data Scientist at YiptiData and is a Kaggle Grandmaster. He will conduct an enriching session on how to create effective Data Science Notebooks and Communication. Sounds exciting? Register now! BOOK YOUR SEAT […]. The post The DataHour: Create Effective DS Notebooks and Communication appeared first on Analytics Vidhya.

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Disaster Tweet Classification using LSTM – NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction on NLP Have you ever imagined how mails are classified into spam and ham or how the tweets are classified into good or bad? All these are happened because of the advancement in the field of NLP or Natural Language Processing. With […]. The post Disaster Tweet Classification using LSTM – NLP appeared first on Analytics Vidhya.

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Working with DynamoDb in Python using BOTO3

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Link Introduction In this article, we are going to talk about a dynamo DB a No-SQL, and a very highly scalable database provided by Amazon AWS. DynamoDB is a scalable hosted NoSQL database service that offers low latency and key-value pair databases. It is […]. The post Working with DynamoDb in Python using BOTO3 appeared first on Analytics Vidhya.

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ETL Tools: A Brief Introduction

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on ETL Tools The amount of data being used or stored in today’s world is extremely huge. Many companies, organizations, and industries store the data and use it as per the requirement. While handling this huge amount of data, one has to […]. The post ETL Tools: A Brief Introduction appeared first on Analytics Vidhya.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Impact of Hyperparameters on a Deep Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction- Hyperparameters in a neural network A deep neural network consists of multiple layers: an input layer, one or multiple hidden layers, and an output layer. In order to develop any deep learning model, one must decide on the most optimal values of […]. The post Impact of Hyperparameters on a Deep Learning Model appeared first on Analytics Vidhya.

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Long Short Term Memory (LSTM): Digging a Bit Deeper

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Long Short Term Memory Have you seen “Memento” or there is one Bollywood movie named “Gajni” where the hero doesn’t remember the information which occurred way back? Standard Recurrent neural networks are like the heroes of that movie, they suffer from […].

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Knapsack Problem in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article will focus on several approaches for solving the Knapsack challenge in Python. The greedy methodology, dynamic programming, or a brute force approach can all be used to solve the knapsack problem. Both the problem and solution are analyzed using the […].

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A tutorial on Centroid Tracker & Counter System

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Centroid Tracker In this article, we are going to design a counter system using OpenCV in Python that will be able to track any moving objects using the idea of Euclidean distance tracking and contouring. You might have worked on computer […]. The post A tutorial on Centroid Tracker & Counter System appeared first on Analytics Vidhya.

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Trial Prep: What Attorneys Really Want (And How to Deliver It)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

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Advanced OpenCV: BGR Pixel Intensity Plots

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This is another article pertaining to the topic of Computer Vision in the Python Programming Language. This article picks us from our previous ones. Up to this point in our advanced OpenCV tutorial, specifically focusing on our topic of Contrast, we have […]. The post Advanced OpenCV: BGR Pixel Intensity Plots appeared first on Analytics Vidhya.

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Getting Started with NoSQL Database Called HBase

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. HBase is an open-source non-relational, scalable, distributed database written in Java. It is developed as a part of the Hadoop ecosystem and runs on top of HDFS. It provides random real-time read and write access to the given data. It is possible to […]. The post Getting Started with NoSQL Database Called HBase appeared first on Analytics Vidhya.

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Aggregate and GroupBy Functions in PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This is the third article in the PySpark series, and in this article; we will be looking at PySpark’s GroupBy and Aggregate functions that could be very handy when it comes to segmenting out the data according to the requirements so that […]. The post Aggregate and GroupBy Functions in PySpark appeared first on Analytics Vidhya.