Data Science

How To Make Data Analytics Simpler And Better At The Same Time

Imagine how much better a business could perform after its employees removed their collective blindfold.   This is not to say that the world’s workforce is literally going about its business with eyes closed, but that those eyes aren’t nearly as open as they could be — or should be! I’m specifically referring to organization-level …

How To Make Data Analytics Simpler And Better At The Same Time Read More »

Interview with Dr. Alain Briançon, Chief Technology Officer and VP Data Science of Cerebri AI

Dr. Alain Briançon is the Chief Technology Officer and VP Data Science of Cerebri AI, an AI platform company that helps enterprises better understand what their customer needs are through data. Their technology is applied to a wide range of industries such as automotive, financial, telecommunications, and travel. What is your background and what made …

Interview with Dr. Alain Briançon, Chief Technology Officer and VP Data Science of Cerebri AI Read More »

Interview with Abhishek Thakur, Chief Data Scientist at boost.ai & First Kaggle Triple Grandmaster

Abhishek Thakur is the first person in the world to have achieved the rank of Kaggle Triple Grandmaster. Kaggle is the world’s largest online community of data scientists and machine learning engineers, where they can work together and enter competitions to solve data science challenges. Abhishek Thakur also serves as the Chief Data Scientist at …

Interview with Abhishek Thakur, Chief Data Scientist at boost.ai & First Kaggle Triple Grandmaster Read More »

Complete Tutorial on Named Entity Recognition (NER) using Python and Keras

Let’s say you are working in the newspaper industry as an editor and you receive thousands of stories every day. How will you find the story which is related to specific sections like sports, politics, etc? Will you go through all of these stories? No, right? How about a system that helps you segment into …

Complete Tutorial on Named Entity Recognition (NER) using Python and Keras Read More »

Introduction to Conditional Random Fields (CRFs)

CRF is intended to do the task-specific predictions i.e. we have the input X (vector) and predict the label y which are predefined. CRF is a probabilistic discriminative model that has a wide range of applications in Natural Language Processing, Computer Vision and Bioinformatics. The conditional random field is used for predicting the sequences that …

Introduction to Conditional Random Fields (CRFs) Read More »

How To Build A Speech Recognition Bot With Python

Even if you know nothing about speech recognition You may have realized something now. The overwhelming success of speech-enabled products like Amazon Alexa has proven that some degree of speech support will be an essential aspect of household technology for the foreseeable future. You can already do almost anything with voice controls. Just say, “I …

How To Build A Speech Recognition Bot With Python Read More »

Four Advantages of AI-Based Data Classification

Description If your business is relying on manual processes to classify vast volumes of unstructured data, then you likely aren’t making a dent. Enter: an AI-based data classification solution, which has numerous benefits for your enterprise. It’s a statistic you’ve likely heard before: about 80 percent of enterprise data is unstructured, meaning it exists in …

Four Advantages of AI-Based Data Classification Read More »

A Knowledge-Provoking Interaction with the AI TEAM of SMI

   The PSYEC-AI Time Journal AI Club had a very healthy knowledge-sharing interaction with the AI crew of Sri Mookambika Infosolutions (SMI), Madurai. We had so many questions with us and we greatly utilized the opportunity to get a clear view of AI and its possible applications along with the challenges they are facing. I …

A Knowledge-Provoking Interaction with the AI TEAM of SMI Read More »

Reinforcement Learning for Adaptive E-Learning

This research article helps readers who are doing research under Adaptive E-learning and Personalised Learning. Generally, in developing e-learning systems, many challenges still exist from the perspectives of assisting the end users, facilitating the learning process and enhancing the learning outcomes. This article presents an approach to dynamically compose the adaptive e-learning courses based on …

Reinforcement Learning for Adaptive E-Learning Read More »

Scroll to Top