Events

Ryohei Fujimaki at PAWCon 2019

Ryohei Fujimaki at PAWCon 2019

June 24, 2019

Ryohei Fujimaki, PhD and CEO of dotData, shares more about the data science platform at Predictive Analytics World 2019 in Las Vegas.
https://twitter.com/thebloorgroup/status/1141688670421954560

Ryohei Fujimaki at PAWCon 2019_testing

dotData

dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process - feature engineering and operationalization. Learn more at dotdata.com, and join us on Twitter and LinkedIn.

Recent Posts

dotData Insight: Melding the Power of AI-Driven Insight Discovery & Generative AI

Introduction Today, we announced the launch of dotData Insight, a new platform that leverages an…

12 months ago

Boost Time-Series Modeling with Effective Temporal Feature Engineering – Part 3

Introduction Time-series modeling is a statistical technique used to analyze and predict the patterns and…

1 year ago

Practical Guide for Feature Engineering of Time Series Data

Introduction Time series modeling is one of the most impactful machine learning use cases with…

1 year ago

Maintain Model Robustness: Strategies to Combat Feature Drift in Machine Learning

Introduction Building robust and reliable models in machine learning is of utmost importance for assured…

1 year ago

The Hard Truth about Manual Feature Engineering

The past decade has seen rapid adoption of Artificial Intelligence (AI) and Machine Learning (ML)…

2 years ago

Feature Factory: A Paradigm Shift for Enterprise Data

The world of enterprise data applications such as Business Intelligence (BI), Machine Learning (ML), and…

2 years ago