Sandhya Agrahari

Jun
11
AI in Beer Brewing

AI in Beer Brewing

There are many ways artificial intelligence (AI) and machine learning can make our world more productive and effective. There are even breweries that are using AI to enhance beer production. Is this brilliant or unbelievable?
2 min read
Jun
11
RPA and Chatbots: The Most Incredible Combination

RPA and Chatbots: The Most Incredible Combination

RPA bots don’t have a talk element where chatbots do. But the difficulty with chatbots is that they're evolving beyond just being virtual assistants to being much smarter conversational bots that will also handle specific business tasks and user journeys.
1 min read
Jun
11
What is Naive Bayes?

What is Naive Bayes?

Naive Bayes model is easy to build and particularly useful for very large data sets. Along with simplicity, Naive Bayes is known to outperform even highly sophisticated classification methods.
1 min read
Jun
11
Pros and Cons of Naive Bayes Algorithm

Pros and Cons of Naive Bayes Algorithm

Naive Bayes is a simple technique for constructing classifiers: models that assign class labels to problem instances, represented as vectors of feature values, where the class labels are drawn from some finite set.
1 min read
Jun
11
Building an Enterprise Chatbot

Building an Enterprise Chatbot

Work with Protected Enterprise Data Using Open Source Frameworks
1 min read
Jun
11
Applied Supervised Learning with R

Applied Supervised Learning with R

Use machine learning libraries of R to build models that solve business problems and predict future trends
1 min read
Jun
11
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R.
1 min read
Jun
11
Data Science for Business Professionals: A Practical Guide for Beginners

Data Science for Business Professionals: A Practical Guide for Beginners

This book is ideal for Data Science enthusiasts who want to explore various aspects of Data Science. Useful for Academicians, Business owners, and Researchers for a quick reference on industrial practices in Data Science
1 min read
Jun
08
Introduction to Recommender System.

Introduction to Recommender System.

Recommender systems aim to predict users’ interests and recommend product items that quite likely are interesting for them. They are among the most powerful machine learning systems that online retailers implement in order to drive sales.
1 min read
Jun
08
What is Artificial Neural Network?

What is Artificial Neural Network?

ANNs gather their knowledge by detecting the patterns and relationships in data and learn (or are trained) through experience, not from programming, and there lies the basic difference between ANNs and other classical computer programmes.
1 min read