Total Experience: Creating Exceptional Experiences, Transforming Business Outcomes' A total experience strategy is all about harmonizing and unifying diverse experience functions within a single cohesive framework. When implemented effectively, total experience cultivates a unified environment where both your employees and customers can thrive seamlessly. Gartner's … [Read more...] about TX Dialogue
machine learning
Reducing Food Waste with Data-Driven Solutions
Food waste is a massive problem globally, with nearly one-third of all food produced for human consumption lost or wasted each year, according to the United Nations. This amounts to 1.3 billion tons of food waste annually, which has enormous environmental, economic, and social impacts. However, technology and data-driven solutions present promising ways to tackle this … [Read more...] about Reducing Food Waste with Data-Driven Solutions
Exposing the Power of Cloudera Machine Learning: A Hands-On Guide
Today machine learning excels in the solution of issues that cannot be solved using conventional methods because they are either too complex or do not have a recognized strategy. When applied to vast volumes of data, ML approaches may assist in uncovering patterns that were not immediately visible to the naked eye. Finally, machine learning may assist people in acquiring new … [Read more...] about Exposing the Power of Cloudera Machine Learning: A Hands-On Guide
The Future of Data Science is No-Code: Here’s Why
Data science projects can be complex, and the complexity only increases when it comes to operationalizing the results. It is no easy task to maintain and manage a large codebase with millions of lines of code for data science or machine learning projects. No-code/low-code data science solutions, on the other hand, solve this problem by providing a simplified approach to … [Read more...] about The Future of Data Science is No-Code: Here’s Why
Implementing a decision tree using C5.0 algorithm in R
Decision tree learners are powerful classifiers that utilize a tree structure to model the relationships among the features and the potential outcomes. This structure earned its name due to the fact that it mirrors the way a literal tree begins at a wide trunk and splits into narrower and narrower branches as it is followed upward. In much the same way, a decision tree … [Read more...] about Implementing a decision tree using C5.0 algorithm in R