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Articles by Sunil Ray
Societal collapse of sense making | Sunil Ray
Is it that the CJP movement that erupted across India in mid-2026 is testament of the societal collapse of sense making that mirrors death of aspiration?
Deepening Crisis of capitalism, tariff war, inter-imperialist (...)
IIntroduction The crisis of capitalism (capital system) is deepening. It stems from its deeper internal contradictions which is essentially the crisis of profitability rooted in its development. No doubt capital system, historically speaking, is crisis prone. But it is equally true that it could open up a route to escape from it. It then goes on to repair its system that stopped meeting the conditions for its further expansion.
Why Alternative Development Paradigm Matters? | Jos Chathukulam
BOOK REVIEW Birth of an Alternative Development Paradigm: Unfolding Transformative Mode of Production by Sunil Ray Germinal Publications Pvt. Ltd (Sharmistha Dutta on behalf of Germinal Publications Pvt. Ltd), Kolkata, West Bengal, India.
The coordinates of transformation must change | Sunil Ray
BOOK EXCERPT [ . . . ] global society witnessed several social and national movements. Many of them were anti-systemic. Some such as the Russian Revolution and the uprising in 1968 in Europe or what Wallerstein calls the ‘world revolution of 1968’ were strong. Others such as the women’s movement and ethno/racial/ religious movement were, however, less strong (ibid.).
Create a niche: a new collective entrepreneurial structure or collective enterprising system - Telegraph India
Niche structure is a new collective entrepreneurial structure or collective enterprising system for a variety of economic activities in the form of self-organisation as a part of commons Sunil Ray Published 08.10.24, 06:17 AM Productive employment creation is a significant development challenge. But we must ask: how to create employment when no wherewithal exists in rural India?
A Cry For Humanity and the 2024 Bengal Uprising | Sunil Ray
Now it is this side of Bengal. It is the state of West Bengal of the Indian Republic that has been witnessing a massive uprising of its people against crime against humanity. It is peoples’ movement, which is spontaneous in nature, non-violent in its approach and solidarity in its bond with all who want to retrieve humanity from its deep crisis in the state.
A new model of employment creation in rural India | Sunil Ray
The question is: How to create productive and sustainable employment opportunities in rural India? I am here putting the question straight because I am yet to see any significant measure available to resolve the crisis of uninterrupted growth of unemployment particularly in rural India. Hardly any attempt is made to look beyond what is being suggested or implemented traditionally for decades. No worthwhile outcome the rural economy is left with as a result.
7 Most Common Questions Around LLMs
How does your phone predict your next word, or how does an online tool fine-tune your emails effortlessly? The powerhouse behind these conveniences are Large Language Models. But what exactly are these LLMs, and why are they becoming a hot topic of conversation? The global market for these advanced systems hit a whopping $4.35 billion in 2023 and is expected to keep growing at a rapid 35.9% every year from 2024 to 2030. One big reason for this surge?
‘Garibi hatao’ as a numbers game
By Jagdish Rattanani & Sunil Ray The Union Budget for 2024-25 presented as a vote on account once again spoke of India’s reported dramatic reduction in what is called multidimensional poverty. This reiterates earlier announcements with a string of eye-catching headlines. The claim is that 248.2 million Indians have escaped “multidimensional poverty” in the last nine years, including some 60 million people in Uttar Pradesh, followed by Bihar at 38 million and Madhya Pradesh at 23 million.
Against free lunches
Freebies are valourised as development instruments by ruling parties in India. However, the story is different in real life. While their marginal impact on the lives of the poor is undeniable, their purpose is to mould the electorates’ behaviour in favour of the ruling party. This is what rural Bengal has been witnessing ever since the Trinamul Congress came to power. The project has paid political dividends for the ruling party.
Top 10 Data Science GitHub Repositories of 2022
Analytics Vidhya Beginner Data Science Github Listicle Introduction to GitHub Github is a collaborative version control system used by millions of developers for working on projects together. Using GitHub we can manage and track the history of the changes made to our code over time. If someone makes a mistake, then developers can roll back to an older version of the project.
Database Design Mistakes and Ways to Avoid Them
This article was published as a part of the Data Science Blogathon. Introduction As a database (DB) designer, getting the design right from the start is important. A poorly designed DB can lead to trouble in data management, analysis, and reporting and can even cause your entire system to fail. This blog will explore the most common mistakes in DB design and how to avoid them.
Database Errors: Dark Side and Lessons Learned
Beginner Data Engineering Database This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered about the dark side of databases? We, software developers, rely on databases to store and manage important data for our applications. But as we all know, things can go wrong with databases – and when they do, the consequences can be catastrophic.
Introduction to Synthetic Control Using Propensity Score Matching
Chrisx10 Dmello — Published On December 24, 2022 and Last Modified On December 24th, 2022 Beginner Data Science Datasets Machine Learning Python This article was published as a part of the Data Science Blogathon. Here’s a secret, synthetic control methods can solve this problem with utmost ease and without loss in revenues or customers. If this was an experiment, the hypothesis would be – removing cards as a payment method will not impact revenue and sales.
Visualize Your Data With Google Looker Studio
This article was published as a part of the Data Science Blogathon. Introduction In today’s digital world, data is generated at a swift pace. Data in itself is not useful unless we present it in a meaningful way and derive insights that help in making key business decisions. Business Intelligence (BI) tools serve the purpose of converting raw data into information.
How to Get Started with Ethereum Network?
This article was published as a part of the Data Science Blogathon. Introduction to Blockchain Network The need for secure and reliable digital transactions becomes more critical as the world becomes increasingly digital. Blockchain technology provides a way to record and transfer digital assets securely and reliably. Simply put, a blockchain is a digital ledger of all transactions. This ledger is distributed across a network of computers known as nodes.
Ultimate Guide To Boosting Algorithms
Algorithm Data Science Interview Questions Introduction Hi everyone! This is the 4th article of the series of data science interview questions. In case you want to revisit the previous ones, tap here. This article will cover all you need to know about boosting algorithms. We have various Machine Learning algorithms to build predictive models. We choose the boosting algorithms based on our problem and prediction requirements.
Top 10 DataHours of 2022
Analytics Vidhya Announcement Artificial Intelligence Big data Business Analytics Business Intelligence Cloud Computing Computer Vision Cryptocurrency Data Analysis Data Engineering Data Exploration Data Science Data Visualization Database Datasets Deep Learning E-Commerce Image Analysis Kaggle Learning Path Listicle Machine Learning MLops NLP Power BI Python Top 10 DataHours – An Overview Analytics Vidhya is one of India’s largest communities for Data Science, Machine Learning, and Analytics.
Computer Vision in 2022 - A Quick Recap
Analytics Vidhya Announcement Computer Vision Listicle Object Tracking Introduction Computer Vision is a branch of AI that provides a machine high-level understanding of an image and the power to perform tasks on images that even humans cannot perform. 2022 has been the year of boom for Computer Vision. It has been the most productive year for Computer Vision so far.
Developing and Deploying Applications Using AWS Outposts
AWS Cloud Computing Data Engineering This article was published as a part of the Data Science Blogathon. Introduction An Outpost is a pool of AWS compute and storage capacity installed at a customer site. AWS operates, monitors, and manages this capacity as part of an AWS Region. Users can create subnets on their Outpost and specify them when creating AWS resources like EC2 instances, EBS volumes, ECS clusters, and RDS instances.
How to Create a Telegram BOT Using Python?
This article was published as a part of the Data Science Blogathon. In addition to socializing with pals, humans are addicted to their smartphones. We primarily communicate via social media, such as WhatsApp, Facebook, Telegram, Instagram, and many others. It’s always interesting to see how people start using technology on social media platforms. Especially because it is a very simple pattern to understand.
Web 3.0: The role of APIs and Microservices
This article was published as a part of the Data Science Blogathon. Introduction Web 3.0, the next generation of the internet, is a decentralized and interoperable platform that utilizes blockchain technology. APIs (Application Programming Interfaces) and microservices are crucial components of this platform, enabling communication and integration between different software systems andntralized technologies.
Guide to Dealing with Sparse Datasets?
Big data Data Engineering Datasets This article was published as a part of the Data Science Blogathon. Introduction Welcome to our guide on dealing with sparse datasets! In this guide, we will explore a common problem that can arise when working with data: sparsity. But what is a sparse dataset, you may ask? Imagine you are trying to build a puzzle but only a few pieces to work with. It will be much harder to complete the puzzle with only a few pieces than if you had all of them.
Interview Excerpts with Kaggle Datasets Grandmaster Ruchi Bhatia - A Sneak Peek Into Her Triple Grandmaster Journey on Kaggle
Spilling the Beans Welcome to a thrilling and impactful conversation with Ruchi Bhatia, where she spills the beans on her Triple Grandmaster Journey on Kaggle. She is also the youngest to be a 3x GM and the 2nd woman ever to attain this title. Before jumping into the interview, let’s get to know Ruchi. She is one of the 9 Kaggle Datasets Grandmasters and ranks 5th with 9 Gold Medals and 3 Silver Medals in 12 of her total Datasets. She is also a Kaggle Notebooks and Discussion Master.
Everything a Product Analyst Should Know!
Prateek Majumder — Published On December 21, 2022 and Last Modified On December 21st, 2022 Beginner Business Analytics Business Intelligence Data Analysis This article was published as a part of the Data Science Blogathon. Introduction Software Products can be very complex to manage and, at the same time, must be relevant to the customers. An essential part of that process is understanding how the customers use the product.
An Overview of Using Azure Data Lake Storage Gen2
PRIYA SINGH — Published On December 21, 2022 and Last Modified On December 21st, 2022 Azure Beginner Cloud Computing Python This article was published as a part of the Data Science Blogathon. Before seeing the practical implementation of the use case, let’s briefly introduce Azure Data Lake Storage Gen2 and the Paramiko module. Introduction to Azure Data Lake Storage Gen2 Azure Data Lake Storage Gen2 is a data storage solution specially designed for big data analytics.
How to Optimize the Performance of AWS S3?
AWS Cloud Computing Intermediate This article was published as a part of the Data Science Blogathon. One of the main capabilities of AWS S3 is its ability to store large amounts of data, making it perfect for data-intensive applications like data analysis and machine learning. S3 allows users to organize their data in “buckets,” which can hold unlimited data. This makes it convenient for users to access and manage their data for analysis and machine-learning purposes.
Machine Learning Approach to Forecast Cars' Demand
Intermediate Machine Learning Python This article was published as a part of the Data Science Blogathon. Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. Over a weekend, more than 600 participants competed to build and improve their solutions and climb the leaderboard. In this article, I will be sharing my hackathon experience – what worked, what didn’t work, and what I learned from it.
3 Most Frequently Asked SQL Join Interview Questions - Analytics Vidhya
This article was published as a part of the Data Science Blogathon. Introduction on SQL Join The data required for a data-analysis task usually comes from multiple sources. SQL JOINs are the tools to bring this data together. SQL JOIN is the best tool to combine data from multiple resources! In this article, I am discussing the most commonly and frequently asked SQL interview questions around SQL JOINs. I am also sharing examples to demo the concepts.
Product Recommendation System Using RFM Analysis
This article was published as a part of the Data Science Blogathon. Introduction on RFM Analysis This article aims to take you through the important concept of Customer Segmentation using RFM Analysis and how it can be done using machine learning. The algorithms we will be using are RFM analysis and comparing it with the clusters formed using the K-means clustering algorithm. For better personalized recommendations, I have used Market Basket Analysis using the Apriori algorithm for the same.
An End-to-end Guide on Anomaly Detection
Guide Intermediate Python This article was published as a part of the Data Science Blogathon. Introduction Anomaly is something that is not normal. Any data point which is placed at a distance from all normal data points is an anomaly. Hence anomalies are also called outliers. Anomaly detection is also called as deviation detection because anomalous objects have attribute values that are different from all normal data objects.
Modin: Expedite Your Pandas Code with Single Change
This article was published as a part of the Data Science Blogathon. Introduction to Pandas Pandas is a python library that needs no introduction. Pandas provide an easier way to do preprocessing and analysis on our . The primary reason for the slowdown is pandas can’t run the program parallelly, and it only uses one CPU core for running the program. We have to shift to distributed computing platforms like Spark for working on large data.
Use of Date and Time Functions in SQL Server
This article was published as a part of the Data Science Blogathon. Introduction on SQL Server Before going to our main concept, we must firstat are functions and then study the details of scalar functions in SQL Server. Function in SQL Server is a set of T-SQL statements that are used to perform a specific operation. SQL Server provides a variety of functions such as analytic functions, scalar functions, aggregate functions, etc.
An Introduction to Hadoop Ecosystem for Big Data
Beginner Data Engineering Hadoop This article was published as a part of the Data Science Blogathon. Introduction Data Ingestion Data Storage Resource Management Data Processing and analysis Data Access Before getting to the above topics, first, let’s understand Hadoop? What is Ha Suppose you run a business, and every day you need to store and process gigabytes of data. You have a single storage unit powered by a relational database system to do that. Now imagine what can go wrong with this setup?
Realistic Face Restoration with GFP-GAN and DFDNet
Algorithm Artificial Intelligence Intermediate Artlligence has made it possible for machines to erience and adjust to new inputs and perform human-like tasks. The rising popularity of AI apps that can apply cool filters to the human face, edit videos, and creaarchitecture that can take old, blurry, and distorted photos of human faces and restore them into near-perfect, realistic images.
Comparison of the RMS Energy and the Amplitude Envelope
This article was published as a part of the Data Science Blogathon. In this article, we’ll visualize and examine the RMS Energy and the Amplitude Envelope of different music genre tracks, including classical, blues, reggae, rock, and jazz, using the librosa library, and then subsequently uncover which of theso ML/DL. Tools Python, Librosa, Audio samples from the GTZAN dataset (each sample is 30 seconds long) What does rgy Mean?
15 Most Common Data Science Interview Questions
Beginner Data Science Interviews Learning Path Introduction Job interviews are…well, hard! Some interviewers ask hard questions while others ask relatively easy questions. As an interviewee, it is your choice to go prepared. And when it comes to a domain like Machine Learning, preparations might fall short. You have to be prepared for everything. While preparing, you might have stuck at a point where you wonder what more shall I read.
Adding Explainability to Clustering
Introduction explain decisions is increasingly becoming important across businesses. Explainable AI is no longer just an optional add-on when using ML algorithms for corporate Clustering is an unsupervised algorithm that is used for determining the intrinsic groups present in unlabelled data. For instance, a B2C business might be interested in finding segments in its customer base.
Amazon Price Tracking System Using Python
Image Source: Link I In this article, we will be learning how we can use Python to keep track of our “wanna-buy” items on Amazon. We tend to buy the product only if it goes below a specific threshold price, to keep it within our budget and maximize our savings. In this project, we will be exactly implementing that idea and build a amazon price tracking system using python.
The DataHour: Introduction to Blockchain
Dear Readers, When the entire world is so buzzed with the word ‘Blockchain’. How can we leave our readers behind? Some of us are already aware and part of the cryptocurrency world and most of us still have our apprehensions. So, let us join Valerii Babushkin who is head of Data Science at Blockchain and Kaggle Competitions Grandmaster. Just to give you a little background about Blockchain. It is a system that is impossible to hack, change or cheat the system.
An End-to-end Guide on Building a Regression Pipeline Using Pyspark
Data Engineering Intermediate Machine Learning Python Spark This article was published as a part of the Data Science Blogathon. Introduction In this articloing to discuss machine learning with Spark in Python. Our goal is to build a regression Pipeline that works in Spark and gives a real-time prediction. We will discuss the Spark MLlib package in detail for building a machine learning pipeline.
A Comprehensive Guide to Apache Hive
This article was published as a part of the Data Science Blogathon. Introduction on Apache Hive Advanced big data tools must handle the massive amounts of structured and unstructured data generated daily. Data is not increasing only in terms of volume, but the variety and veracity of data are also growing. Big Data uses Hive on top of Hadoop to maintain its value. Data scientists and analysts mainly use Hive as a dedicated tool to turn the raw information into actionable content. What is Hive?
Scraping Jobs on LinkedIn Using Scrapy
This article was published as a part of the Data Science Blogathon. Introduction Recently I have been working on a personal project in which I want to extract the skills from the resume and match thos I chose Linkedin for scraping jobs, and their descriptions as this site are the most used for searching jobs. I also need a domain-speso collecting data from others will not work for me. Before starting this article, I want to inform you that this article is not for absolute beginners.
Market Basket Analysis Based on RFM Analysis
Intermediate Machine Learning Python This article was published as a part of the Data Science Blogathon. Nowadays the machine learnings algorithms are playinM and Market Basket Analysis is one of the applications of machine learning in the ecommerce and retail sector. This article will take you through the process of finding the frequently bought products together by the customers by analysing their past buying behaviour and segmehem into different customer segments.
The Tale of Kubernetes!
This article was published as a part of the Data Science Blogathon. Introduction Kubernetes popularly known as (K8s) is a system for automating deployment, scaling, and managing containerized applications. An application’s containers are grouped into logical units, which can be easily managed and discovered. A key element of Kubernetes is 15 years’ experience running production workloads at Google in conjunction with best-of-breed ideas and practices from the community.
Getting Started with NoSQL Database Called HBase
Database Intermediate SQL This article was published as a part of the Data Science Blogathon. Introductio HBase is a database for storing and retrieving data with random access. In other words, we can write data as per our requirements and read it back again as needed. HBase works well with both structured and semi-structured data. This means storing structured data like relational tables and semi-structured data like tweets or log files together is possible.
Building a custom CNN model: Identification of COVID-19
This article was published as a part of the Data Science Blogathon Dear readers, In this blog, let’s build our own custom CNN(Convolutional Neural Network) model all from scratch by training and testing it with our custom image dataset. This is, of course, mostly considered a more impressive work rather than training a pre-trained CNN model to classify images. You can learn about it if you are interested, from one of my previous blogs here.
Traffic Signs Recognition using CNN and Keras in Python
This article was published as a part of the Data Science Blogathon Introduction humans are becoming more dependent on technology. With the enhanced technology, multinational companies like Google, Tesla, Uber, Ford, Audi, Toyota, Mercedes-Benz, and many more are working on automating vehicles. They are trying to make more accurate autonomous or driverless vehicles.
12 Data Plot Types for Visualisation from Concept to Code
This article was published as a part of the Data Science Blogathon Introduction When data is collected, there is a need to interpret and analyze it to provide insight into it. This insight can be about patterns, trends, or relationships between variables. Data interpretation is the process of reviewing data through well-defined methods. They help assign meaning to the data and arrive at a relevant conclusion.
A Comprehensive Guide on Fourier Analysis
This article was published as a part of the Data Science Blogathon. Overview The importance of the Fourier analysis is paramount. It is one of the pillars of engineering, and we can say it is a study of “atoms of waves”. Pretty much anything you can imagine which has a spectral decomposition interpretation, from mechanical engineering to deep-space communications to pre/postnatal healthcare to modern optics, Fourier analysis has its omnipresence. So, Let’s demystify Fourier analysis over here.
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