Python is the world’s third most popular programming language in February 2021, according to TIOBE’s index. It grew over 1.52% since January. Its massive demand… Read More »Pros and Cons of using Python for Web Development
Welcome to the first installment in our series on ModelOps. This blog focuses on the importance of Data Gathering and Preparation in support of your… Read More »Maximizing Data Use and Reducing Pitfalls: Putting the Right Data Preparation Process in Place for AI
Data Science Lifecycle revolves around using various analytical methods to produce insights and applying Machine Learning techniques to do the predictions from the collected dataset. The main objective… Read More »Feature Engineering At a glance
DataOps is the use of agile development practices to create, deliver, and optimize data products, quickly and cost-effectively. DataOps is practiced by modern data teams,… Read More »What is DataOps?
Data Agility, Not Code Agility Twenty years ago, a group of programmers, project managers, and consultants met at a ski resort just outside of Ogden,… Read More »DSC Weekly Digest 15 March 2021
CPG opportunities in the new normal The COVID-19 pandemic has compelled businesses to shift to virtual marketplaces and CPG has been no different. Consumers are… Read More »Unlocking e-commerce growth for CPG with data and analytics
My recent journeys have brought me before both technology vendors and technology customers, and interestingly enough, both are asking the same question: “How do we… Read More »Unleashing the Business Value of Technology Part 1: Framing the Challenge
Blockchain analysis is the process of inspecting, identifying, grouping, modeling, and visually representing the data contained in the blockchain. As we know, blockchain technology allows… Read More »Six use cases in Blockchain Analysis
If you want to work effectively on Java projects as a developer in this competitive world, there are many things you should learn. You must… Read More »What should Java developers learn in 2021?
This post continues our discussion on the Bayesian vs the frequentist approaches. Here, we consider implications for parametric and non-parametric models In the previous blog… Read More »The Bayesian vs frequentist approaches (Part 3) parametric vs non-parametric models
