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Articles by Pinak Pani Datta
An Overview of Ensemble Learning Methods: Bagging, Boosting, and Stacking
Ensemble learning has emerged as a powerful approach in machine learning, where multiple models are combined to make predictions. This technique often outperforms individual models by leveraging the diversity of the constituent models. Among the various ensemble methods, Bagging, Boosting, and Stacking are three prominent techniques that have been widely adopted across different domains.
Building a Fraud Detection System with Isolation Forests and Local Outlier Factors
Fraud detection is a critical task across various industries, from finance to e-commerce, where identifying abnormal behaviours or transactions can prevent significant losses. Traditional methods like rule-based systems often fall short in detecting sophisticated fraudulent activities. In recent years, machine learning algorithms have shown promising results in this domain. In this article, we’ll explore two such algorithms: Isolation Forests and Local Outlier Factor (LOF).
An In-depth Exploration of Gaussian Processes: Theory and Practical Applications
In the vast landscape of machine learning and statistics, Gaussian processes (GPs) stand out as a versatile and powerful tool for modelling complex relationships in data. They offer a probabilistic framework that not only allows us to make predictions but also provides valuable insights into the uncertainty associated with those predictions.
Building a Custom Object Detection Model using TensorFlow Object Detection API
Object detection is a fundamental task in computer vision, enabling machines to identify and locate objects within images or videos. TensorFlow Object Detection API is a powerful framework built on top of TensorFlow, designed to simplify the process of creating, training, and deploying object detection models. In this article, we’ll explore how to build a custom object detection model using the TensorFlow Object Detection API.
Deep Learning for Natural Language Generation: Techniques and Applications
Natural Language Generation (NLG) is a subfield of artificial intelligence (AI) that focuses on producing human-like text or speech from structured data or other forms of input. Deep learning techniques have revolutionized NLG, enabling more accurate, fluent, and contextually relevant generation of text. In this article, we will explore various deep learning techniques used in NLG, along with their applications and recent advancements.
Exploring Federated Learning: Collaborative Training without Centralized Data
In the era of big data and privacy concerns, Federated Learning has emerged as a groundbreaking technique for training machine learning models without centralized data. Traditional machine learning models rely on aggregating all data in a centralized location for training, which raises privacy, security, and scalability issues. Federated Learning addresses these concerns by enabling collaborative model training across decentralized devices or servers while keeping the data local.
Unlock Daily PyPI Insights: Dive into Real-Time Stats with PypiMeter!
Are you eager to stay on top of the latest PyPI download statistics? Look no further than PypiMeter! Dive into this comprehensive blog to discover how PypiMeter provides daily-refreshed insights into PyPI download counts and statistics. Whether you’re a seasoned Python developer or just starting your journey, PypiMeter offers unparalleled access to real-time Python package usage trends.
Building a Multimodal Sentiment Analysis Model using Transformers
In recent years, sentiment analysis has become an essential tool for understanding the opinions, emotions, and attitudes expressed in text data. With the emergence of multimodal data, which combines information from various sources such as text, images, and audio, there’s a growing need to develop advanced models capable of processing and analyzing such data effectively.
Leveraging Reinforcement Learning for Dynamic Pricing Strategies in E-commerce
In the ever-evolving landscape of e-commerce, dynamic pricing has become increasingly crucial for businesses to stay competitive and maximize profitability. Traditional static pricing strategies are often inadequate in responding to dynamic market conditions and consumer behaviour.
Enhancing Image Classification Models with Data Augmentation Strategies
Image classification is a fundamental task in computer vision, with applications ranging from medical diagnosis to autonomous driving. With the advent of deep learning, convolutional neural networks (CNNs) have emerged as powerful tools for image classification tasks. However, training CNNs often requires large amounts of labelled data, which may not always be readily available.
Ethical Considerations in AI: Bias Mitigation and Fairness in Machine Learning Models
Artificial Intelligence (AI) has become an integral part of many aspects of our lives, from recommendation systems to autonomous vehicles. However, as AI systems increasingly influence decision-making processes, the ethical implications of their operations have garnered significant attention. One critical aspect of AI ethics is the mitigation of bias and ensuring fairness in machine learning models.
Advancements in Time Series Analysis: Deep Learning vs. Classical Methods
Time series analysis is a crucial aspect of understanding sequential data in various domains such as finance, weather forecasting, signal processing, and more. Over the years, significant advancements have been made in time series analysis techniques, leading to the emergence of both classical methods and deep learning approaches.
Building a Real-time Object Detection System using YOLO (You Only Look Once)
In recent years, the field of computer vision has witnessed remarkable advancements, thanks to deep learning techniques. Among these techniques, YOLO (You Only Look Once) stands out as a powerful algorithm for real-time object detection. Unlike traditional methods that involve multiple passes through an image, YOLO can detect objects in a single pass, making it incredibly fast and efficient.
Mastering Feature Selection with Genetic Algorithms in Machine Learning
Feature selection is a critical aspect of building robust machine-learning models. It involves identifying the most relevant subset of features from a dataset while discarding irrelevant or redundant ones. Genetic algorithms (GAs) offer a powerful optimization technique to tackle feature selection problems, inspired by the principles of natural selection and genetics.
Building a Document Scanner using OpenCV
This article was published as a part of the Data Science Blogathon. Introduction Hello Readers; in this article A brief overview of OpenCV: In a nutshell, OpenCV is an oer to their official documentation here: https://pypi.org/project/opencv-python/ Our software should be able to correctly align the document, detect the borders of the captured image, uplift the document’s quality, ultimately provide a better image as output.
12 FAQs on AWS Asked in Interviews
This article was published as a part of the Data Science Blogathon. Introduction The way big business tycoons run has changed a lot since the past. The concept of “Cloud Computing” has played a major role in this. TSo to kick-start your career as a developer in the field of cloud computing, and excel in the interviews with flying colors, below are some curated questions that are often asked in the interviews. AWS Interview Questions 1) What do you mean by cloud computing?
21 FAQs on Blockchain
This article was published as a part of the Data Science Blogathon. One of the newest advertising buzzwords is blockchain. Although Bitcoin is unusual, the fundamental innovation’s potential is enormous. Something that was once only an invention is now no less than in charge of an uprising. Since they have discovered the wealth of this brilliant invention, investors can now make enormous profits. Each day, industry experts and IT enthusiasts create new blockchain-based products.
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.
Coronavirus outbreak sparks racist attacks on people from North East, stokes Islamophobia on social media
The coronavirus outbreak has ripped apart the idea of “unity in diversity” endorsed by BJP MP Tejaswi Surya on Kunal Kamra’s podcast which dropped two days ago. As the media began reporting about the pandemic, some began treating it as an act of war by China and not a health emergency. A man spat on a Manipuri girl recently in Delhi blaming her for the pandemic because of the way she looked.
Was Nathuram Godse a patriot? Before creating a love or hate campaign, first understand Mahatma Gandhi's assassin
India Pinak Pani Datta Nov 28, 2019 08:57:18 IST First, Godse assassinated Gandhi. Assassination has a different context than simple murder or homicide Second, Godse was not a mass murderer.
Tipraland movement: Autonomy is core to Tripura's tribal politics, but gaining power in state Assembly would be wiser
Politics Pinak Pani Datta Jul 17, 2017 18:24:37 IST The protests in Tripura led by Indigenous Peoples’ Front of Tripura (IPFT) have entered the seventh day without any fruitful outcome. The Tripura government run by the CPM-led Left Front has not responded yet. All prominent parties have refused to support the demand for a separate state.
Fear and Loathing in New India: The Assam Lynching and Its Aftermath
Observing the present scenario in India, one would be tempted to ask if the spectre of the ‘other’ is veritably created to lynch. The brutal mob lynching of two youths from Assam – Nilotpal Das and Abhijeet Nath – on June 8 seems to indicate just that. While on a visit to the Kanthilangsho waterfall in the Karbi Anglong district where they were attacked by a crowd on the suspicion of being ‘child lifters’.
Tripura 'Maharaja' needs to get over the history of the royal house and take India's Constitution seriously
We live in the Republic of India and all law-abiding citizens agree to the Constitution adopted in 1950, which states that ‘we, the people of India’ secure ‘equality of status and opportunity’. Here, in our nation, no one is superior to another and we reject any kind of social hierarchy in the form of caste, creed or heritage for that matter. We resolved to abolish all titles except the ones we earn with our merit, ie educational and military titles.
Tripura Election 2018: BJP promises change, but overcoming Left Front's accomplishments won't be easy task - Firstpost
In less than a week Tripura goes into polls for an election that is probably going to be the most important one since 1988. The fight is clearly between the left and the right of the political spectrum, constituting the CPM-led Left Front and the nationalist BJP and its ally IPFT, respectively. The streets of Agartala this time have a different aura altogether. Earlier it used to be a fight between CPM and Congress.
JNU Elections 2017: Left retains citadel but without unity it could crumble under ABVP, BAPSA onslaught
The Jawaharlal Nehru University Students' Union (JNUSU) elections were once again swept by the Left Unity panel comprising AISA-SFI-DSF (All India Students' Association, Students' Federation of India, and Democratic Students' Federation respectively). The voter turnout was slightly lower in terms of percentage – 56 percent as compared to 59 percent last year.
JNUSU election: Improving campus facilities rule all manifestos; ABVP adds check on anti-national activities
The Jawaharlal Nehru University Students’ Union (JNUSU) election is one of the high profile democratic practices in the country composed of intense debate on national and international issues and larger than life political rhetoric. This year, the Left-wing parties have again teamed up to contest the union council.
Shaky CPM, tribal politics help BJP make inroads in Tripura; Manik Sarkar faces uphill battle
Communist Party of India (Marxist), which came to power in 1993, has been ruling Tripura for a generation now. It is led by Chief Minister Manik Sarkar, known for his clean Gandhian-Marxist image, since 1998. But as it seems, the saffron forces led by BJP have been hijacking not only the opposition space from Congress and Trinamool Congress but also making their way to capture power in the upcoming 2018 assembly elections.
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