AutoML

PowerBI

Artificial Intelligence (AI) With Power BI

Microsoft is heavily invested in bringing Artificial Intelligence capability to their business line of products like Power BI. With tools like AI Insights, you can gain access to a collection of pre-trained machine learning models that enhance your data preparation efforts. With AI visuals you can empower users to gain new insights in more interactive […]

Read More
Career Machine Learning

Is Auto ML Going to Kill Data Science Jobs?

Is Auto ML going to kill data science jobs? I’ve often asked myself the same question and appreciate codebasics’ analysis and thoughts found in this video.

Read More
Natural Language Processing

Ramping up your custom NLP tasks with Verseagility

On this episode of the AI Show, Timm Walz joins Seth to talk about how ramping up your custom NLP tasks with Verseagility  will benefit your data science workflow. He’ll demonstrate how to use the toolkit in combination with Azure Machine Learning.

Read More
Databricks Machine Learning

Scaling AutoML-Driven Anomaly Detection with Luminaire

Zillow has built an orchestration framework around Luminaire, our open-source python library for hands-off time-series Anomaly Detection. Luminaire provides a suite of models and built-in AutoML capabilities which they process with Spark for distributed training and scoring of thousands of metrics. In this talk, learn the architecture of this framework and performance of the Luminaire […]

Read More
Data

Dataiku End-to-End Demo

This demo uses a project that predicts flight delays to demonstrate connecting to data, preparing and enriching it, building machine learning models, and operationalizing your work entirely in Dataiku.

Read More
Azure Machine Learning

Accelerate Your Data Science Projects with Azure AutoML

Here’s a great session from the recent Global Azure Data & AI Fest: Accelerate Your Data Science Projects with Azure Machine Learning’s AutoML Feature” delivered by Jon Tupitza.

Read More
Databricks Machine Learning

Erin Ledell on AutoML

Databricks hosts this great show, called Data Brew and this episode they cover AutoML. Erin LeDell shares valuable insight on AutoML, what problems are best solved by it, its current limitations, and her thoughts on the future of AutoML. We also discuss founding and growing the Women in Machine Learning and Data Science (WiMLDS) non-profit.

Read More
Databricks

ML Applications. Data Brew

For the second season of Databricks’ Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more. Good machine learning starts with high quality data. Irina Malkova shares […]

Read More