Data science is a broad field that encompasses a range of techniques and methods for analyzing and interpreting data to extract insights and solve complex problems. It often involves using advanced statistical and machine learning techniques to analyze large and complex datasets and may involve developing predictive models or algorithms. Top Ten reasons to launch […]
Author: Aegis Blog
Join PGP Data Science Deadline: August 2023
Father of computer science, the unlikely war hero!
When you read something like “the unlikely war hero”, your mind automatically pictures a large field; to the left is a battalion of soldiers and to the right is a man, unaffected and not scared of what is to come. Well, in literal sense that might not have happened, but nonetheless that’s what happened. And […]
Satyakam Mohanty, CEO, Lymbyc at Data Science Congress 2018
DSCongress key talk presented by Satyakam Mohanty, CEO & Chief Light Bulb, Lymbyc on future of data science at Data Science Congress 2018 with Leni the world’s first virtual Analyst Leni is a combination of speed and scale of machine intelligence, with the context and creativity of humans. Learn more: www.lymbyc.com
Internet of Things (IoT)-An Overview
IoT (Internet of Things) is an advanced automation and analytics system which exploits networking, sensing, big data, and artificial intelligence technology to deliver complete systems for a product or service. These systems allow greater transparency, control, and performance when applied to any industry or system. IoT systems have applications across industries through their unique flexibility […]
Face Detection and Recognition Technology
In a class room of 54 students, a lecturer calling the roll number of students from first to last number for marking attendance takes an average time of 4 minutes 20 seconds, says a case study. This made us think about the time spent in 1 hour session in every class all over India and […]
Machine learning centered around the area of text mining
Topic for our deliberation is machine learning centered around the area of text mining. We will discuss the need for text mining, process involved and challenges, various modeling techniques and classification methods. Let’s take the simple case study of book reviews. We all read books. We google for various options available. As an end user, […]
Big Data Analytics Trends in Healthcare Industry
Big Data in Healthcare Overview Need of Big Data in Healthcare Big Data Trends in Healthcare AI changing healthcare Cloud computing impact on healthcare Virtual Reality in healthcare Medical Robots Nanorobot for cancer treatment Big Data in Healthcare 1.1 Overview: Big data analytics has become the crucial problem in healthcare informatics in terms of data querying, database design, […]
Online Advertising using Big Data Analytics
Online Advertising Overview Entities involved Online Advertising Models Big Data in Online Advertising What is Big Data Analytics Role of Big Data in Online Advertisement Frauds Fraud Detection Online Advertising 1.1 Online Advertising Overview: Online Advertising is a form of marketing and advertising which uses the Internet to deliver promotional marketing messages to consumers. It […]
THE PERFECT MATCH
Using technology for making decisions in the stock market is not something which is new. From the time of bucket shops to today’s highly complex trading platforms, people have tried taking advantage of the technology available to get ahead in the game. Let it be reading the screen at the floor of the exchange or […]
Few industries have more to offer and to gain from big data than telecommunications
Few industries have more to offer and to gain from big data than telecommunications. For decades, communications service providers (CSPs) have transported and captured huge volumes of information about customer calling patterns, wireless data usage, location, network bandwidth statistics, and even the individual apps and webpages accessed by mobile devices. Until recently, much of that […]