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Article
Variability of low-level jet over the Arabian Sea and its association with Indian summer monsoon rainfall
In this paper, the influence of emerging low level jet (LLJ) core zone on the Indian summer monsoon rainfall (ISMR) examined during the period 1981–2020 using ERA5 reanalysis, Indian Monsoon Data Assimilation ...
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Article
True peristaltic recovery is uncommon following treatment, particularly endoscopic dilation for achalasia cardia, though pseudo-recovery often occurs
Relieving esophagogastric junction (EGJ) obstruction has been the focus of treatment for achalasia cardia. The recovery of peristalsis has been an elusive goal. Studies analyzing post-intervention peristaltic ...
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Article
Performance of the Indian summer monsoon 2020 in NCEP-GFS
The rainfall observed 957.6 mm during summer monsoon season (June–September) of 2020 over India, which is 9% more than the climatological mean summer monsoon rainfall. In this study, the Indian Summer Monsoon ...
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Article
Effect of association of temperature and pollutant levels on COVID-19 spread over Jaipur
The association of temperature and air pollutants is a very prominent factor which significantly affects human health and may cause diseases such as respiratory illness, cardiovascular mortality in spreading o...
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Chapter
Evolution of Neural Networks to Large Language Models
Over the past few decades, language models have undergone significant advancements. Initially, basic language models were employed for tasks such as speech recognition, machine translation, and information ret...
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Chapter
Implement LLMs Using Sklearn
Scikit-LLM represents a groundbreaking advancement in the realm of text analysis. This innovative tool seamlessly merges the capabilities of robust language models like ChatGPT with the versatile functionality...
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Chapter
Introduction to Recommendation Systems
In today’s world, every customer is faced with multiple choices for every decision. Let’s assume that a person is looking for a book to read without any specific idea of what he wants. There’s a wide range of ...
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Chapter
Graph-Based Recommender Systems
The previous chapter covered deep learning-based recommender systems and explained how to implement end-to-end neural collaborative filtering. This chapter explores another recent advanced method: graph-based ...
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Chapter
Content-Based Recommender Systems
Content-based filtering is used in recommending products or items very similar to those being clicked or liked. User recommendations are based on the description of an item and a profile of the user’s interest...
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Chapter
Collaborative Filtering Using Matrix Factorization, Singular Value Decomposition, and Co-Clustering
Chapter 4 explored collaborative filtering and using the KNN method. A few more important methods are covered in this chapter: matrix factorization (MF), singular value decomp...
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Chapter
Clustering-Based Recommender Systems
Recommender systems based on unsupervised machine learning algorithms are very popular because they overcome many challenges that collaborative, hybrid, and classification-based systems face. A clustering tech...
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Chapter
Augmenting Decision Intelligence Results into the Business Workflow
In today’s rapidly changing business environment, organizations are under increasing pressure to make informed decisions that drive growth and competitiveness. Decision intelligence (DI) is a powerful tool tha...
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Chapter
Deep Learning–Based Recommender System
So far, you have learned various methods for building recommender systems and saw their implementation in Python. The book began with basic and intuitive methods, like market basket analysis, arithmetic-based ...
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Chapter and Conference Paper
AI/ML Based Sensitive Data Discovery and Classification of Unstructured Data Sources
The amount of data produced every day is enormous. According to Forbes, 2.5 quintillion data is created daily (Marr, 2018). The volume of unstructured data is also multiplying daily, forcing organizations to spen...
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Chapter
Introduction to Generative AI
Have you ever imagined that simply by picturing something and ty**, an image or video could be generated? How fascinating is that? This concept, once relegated to the realm of science fiction, has become a t...
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Chapter
LLMs and Transformers
In this chapter, we embark on an enlightening journey into the world of LLMs and the intricacies of the Transformer architecture, unraveling the mysteries behind their extraordinary capabilities. These pioneer...
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Chapter and Conference Paper
Resume Shortlisting and Ranking with Transformers
The study shown in this paper helps the human resource domain eliminate the time-consuming recruitment process task. Screening resume is the most critical and challenging task for human resource personnel. Nat...
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Chapter
Google Bard and Beyond
Google Bard represents a significant advancement in the field of large language models (LLMs). Created by Google AI, this chatbot is the result of training on an extensive corpus of text and code. Its capabili...
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Chapter
Market Basket Analysis (Association Rule Mining)
Market basket analysis (MBA) is a technique used in data mining by retail companies to increase sales by better understanding customer buying patterns. It involves analyzing large datasets, such as customer pu...
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Chapter
Emerging Areas and Techniques in Recommender Systems
This book has shown you multiple implementations of recommender systems (also known as recommendation systems) using various techniques. You have gained a holistic view of all these methods. Topics like deep lear...
