Demystifying Model Governance
by An Essential Requirement for Businesses Leveraging Machine Learning In Production What Is Model Governance? There are many issues that are brought about as a result …
Category: Datatron Platform
Importance of Infrastructure in Data Science
by Whenever we talk about data science, we always focus on the model and its performance. But let’s not forget that the ‘best data science comes …
Specializations and Opportunities in Healthcare Data Science
The applications of data science and software engineering in Healthcare are vast. From applying Bayesian Statistics in modeling the human genome to predicting breast cancer …
How Top Tech Firms Use Machine Learning and AI in Their Workplace
The applications of Machine Learning and AI are vast. Their capability to automate workflows and make intelligent decisions makes them a priority for fast-growing teams …
Version Control for ML Models
by With Code, Algorithms, and Training Data Sets What is Version Control? Version Control Systems are a classification of programming instruments that help a product team …
As the Need for Machine Learning Grows, So Does MLOps
by A Beginner’s Guide to MLOps and the Importance of It Some people say that ‘Data Science’, ‘Machine Learning’, and ‘Artificial Intelligence’ are nothing more than …
A Walkthrough of the Machine Learning Life Cycle
Do you have a project idea but you don’t know where to start? Or maybe you have a dataset and want to build a machine …
How to Explain Model Bias to Regulators
What models are we talking about? Have you ever wondered how Netflix recommends movies suited to your taste? Ever thought about how self-driven cars have …
What Is Statistical Bias and Why Is It So Important in Data Science?
Statistical Bias is an essential concept to create accurate machine learning models Imagine this. You’re running for president and you want to be the voice …
Machine Learning Challenges in 2018
by What Is Machine-Learning? Machine-learning is a type of artificial intelligence that allows computers to “learn” from real-time and historical data. The surge-pricing models used by …
The New Operating Model for Enterprises
Moving from “data-centric” to “model-centric” — Every two days now we create as much information as we did from the dawn of civilization up until …
Data Science & Analytics (DSA) — The Need for Productivity Tools
by In my last post on Data Science — the new era, I have described how traditional data science is undergoing a change in the Enterprise. In this post, …