Diabetes mellitus for high sugar levels is a Lifestyle disorder that impacts how the body is burning glucose this is the major fuel that is used by our body and brain. If the body does not process the glucose that has been taken through food in a proper way, then the glucose levels remain in bloodstream without reaching the cell for energy utilization. When blood with high sugar levels circulates through the body it impacts multiple organs in the long term causing heart strokes, nerve ...

Since corona virus has shown up, inaccessibility of legitimate clinical resources is at its peak, like the shortage of specialists and healthcare workers, lack of proper equipment and medicines etc. The entire medical fraternity is in distress, which results in numerous individual’s demise. Due to unavailability, individuals started taking medication independently without appropriate consultation, making the health condition worse than usual. As of late, machine learning has be...

Due to the rapid growth of network data, the authenticity and reliability of network information have become increasingly important and have presented challenges. Most of the methods for fake review detection start with textual features and behavioral features. However, they are time-consuming and easily detected by fraudulent users. Although most of the existing neural network-based methods address the problems presented by the complex semantics of reviews, they do not account...

The Internet of Things (IoT) is a group of millions of devices having sensors and actuators linked over wired or wireless channel for data transmission. IoT has grown rapidly over the past decade with more than 25 billion devices are expected to be connected by 2020. The volume of data released from these devices will increase many-fold in the years to come. In addition to an increased volume, the IoT devices produces a large amount of data with a number of different modalities having ...

Nowadays, there has been a sharp increase the criminal activities day by day. More and more crimes are being reported but curbing them has become a very difficult activity. With the limited police force, it becomes much more difficult to maintain the law-and-order situation in the country. In order to tackle the crimes effectively, we must be able understand underlying patterns from the existing crime data and predict which crime might occur in a given situation. In this projec...

Data analytics in the area of learning and education has a significant role in refining the present education system so that the underlying problems with the present education system can be discovered from various perspectives like the administration perspective, the perspective of the faculty, and the perspective of the students[1][2]. Discoveries of data analytics help in proper planning, understanding real-time issues, and taking appropriate decisions that help in refining the syste...

The way politicians communicate with the electorate and run electoral campaigns was reshaped by the emergence and popularization of contemporary social media (SM), such as Facebook, Twitter, and Instagram social networks (SNs). Due to the inherent capabilities of SM, such as the large amount of available data accessed in real time, a new research subject has emerged, focusing on using the SM data to predict election outcomes. Despite many studies conducted in the last decade, r...

Software development today is embracing functional programming (FP), whether it's for writing concurrent programs or for managing Big Data. Where does that leave Java developers? This concise book offers a pragmatic, approachable introduction to FP for Java developers or anyone who uses an object-oriented language.Dean Wampler, Java expert and author of Programming Scala (O'Reilly), shows you how to apply FP principles such as immutability, avoidance of side-effects, and h...

There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code.Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a...

Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenariosKey Features\[\*\]Build efficient deep learning pipelines using the popular Tensorflow framework\[\*\]Train neural networks such as ConvNets, generative models, and LSTMs\[\*\]Includes projects related to Computer Vision, stock prediction, chatbots and moreBook DescriptionTensorFlow is one of the most popular frameworks used ...

Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems.Key FeaturesAssimilate key NLP concepts and terminologiesExplore popular NLP tools and techniquesGain practical experience using NLP in application codeBook DescriptionIf NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide wi...

Joe Celko's Complete Guide to NoSQL provides a complete overview of non-relational technologies so that you can become more nimble to meet the needs of your organization. As data continues to explode and grow more complex, SQL is becoming less useful for querying data and extracting meaning. In this new world of bigger and faster data, you will need to leverage non-relational technologies to get the most out of the information you have. Learn where, when, and why the benefits of NoSQL outw...