Machine Learning

How to Ensure Data Security in Organizations?

The cybersecurity world is progressing at high speed. At the same time, innovation in technologies is becoming increasingly better to combat cyber-criminals and hackers to exploit data security loopholes. Both Artificial intelligence and machine learning are now offering high applications

Read More

Significance of Data Transformation in Machine Learning

Machine Learning advancements allow enterprises to process and comprehend their data much faster using modern tools with validated algorithms. But that data can be intricate and chaotic in its raw state. Thus, some form of data transformation here is required

Read More

4 Important ML Keys and Principles for Fraud Prevention

Fraud attacks are getting to be progressively sophisticated– as innovation advances, fraudsters have raised their game on payment fraud and money laundering. With access to faster and less expensive computing, fraudsters have moved their objectives to more beneficial weaker points

Read More

Human Activity Prediction Using Machine Learning

1. Objective: The objective of this study is to analyse a dataset of smartphone sensor data of human activities of about 30 participants and try to analyse the same and draw insights and predict the activity using Machine Learning. We

Read More

How ML Improves the Back-Office Operations in an Enterprise

An enterprise consists of large, complex and process-centric systems including think finance, Robo-advisors, accounting, operations, human resources, and procurement which use and produce a hefty amount of structured and unstructured data. There is a need to handle these in new

Read More

Teaching Machines to Learn Language and Think More Like a Human

Learning language is the task of syntactic and semantic parsers in computing. These systems are trained on sentences annotated by humans that define the structure and meaning behind words. But gleaning the annotation data can be time-consuming and complex for

Read More

The State of Machine Learning in 2019

Big changes are happening in the business world and one of these great shifts is directly owing to the contribution of machine learning (ML). The grid of algorithms and statistical models is a revolutionary application of AI. The technology has

Read More

Deciphering Operation Efficiency and Innovation in Businesses through AI and ML Mechanism

When artificial intelligence and machine learning are added to systems it opens the door for better opportunities for businesses across every industry. The intelligent tools and solutions provided by these technologies not only yield significant outcomes but also give rise

Read More

MIT Researchers Introduced ML-Powered RiskCardio System To Predict Cardiovascular Death

A team from MIT’s Computer Science and AI Laboratory introduced a new system for better health prediction. The system is based on a machine learning model, capable of estimating patient’s risk of cardiovascular death, from the electrical activity of his/her

Read More

How To Choose Appropriate AutoML Platform To Satisfy Enterprise ’s ML Ambitions

AutoML (Automated Machine Learning) is considered as one of the newest tools in the field of artificial intelligence. The technology is being used to eliminate barriers and roadblocks to entry that hold back enterprises’ ML ambitions. AutoML provides with flexibility

Read More