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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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 Harms are Societal, Not Just Individual

fast.ai

When the USA government switched to facial identification service ID.me for unemployment benefits, the software failed to recognize Bill Baine’s face. While the app said that he could have a virtual appointment to be verified instead, he was unable to get through. The screen had a wait time of 2 hours and 47 minutes that never updated, even over the course of weeks.

AI 52
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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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 […].

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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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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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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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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 […].

Big Data 295
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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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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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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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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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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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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 […].

Python 282
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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.

Python 281
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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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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.

Python 271
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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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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.

ETL 271
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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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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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.

NLP 271
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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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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.