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 …
Category: Datatron Platform
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, …
Being a Data Scientist in the Modern Era
Traditionally, being a Data Scientist is regarded as a domain exclusive to some people who understand mathematics and statistics. But this will change in the …
Liberate Your Data Scientist from Management Overload
The proliferation of analytics databases throughout the enterprise has required an increasing level of effort to develop data management practices. Skilled data scientists and analysts …
How to Harness Your Data for Growth
To truly harness data, organizations need a scalable approach to develop: Cutting edge insight into the drivers of the business Predicative indicators of future performance …