AutoML Archives

Auto-Sklearn: AutoML in Python

Machine Learning Modeling AutoML Europe 2021posted by ODSC Community May 17, 2021

Machine learning is the driving force of modern technology and smart applications. While highly efficient methods and implementations are broadly available, their successful application is hard. It is hard because a myriad of design decisions have to be made correctly before an ML pipeline achieves peak... Read more

A Deep Dive into H2O’s AutoML

Machine Learning Modeling AutoMLposted by Parul Pandey April 27, 2020

The demand for machine learning systems has soared over the past few years. This is majorly due to the success of Machine Learning techniques in a wide range of applications. AutoML is fundamentally changing the face of ML-based solutions today by enabling people from diverse backgrounds... Read more

2020 Outlook on AutoML Updates & Latest Recent Advances

Machine Learning Modeling AutoML databricks dataiku datarobot H20 john snow labs KNIME missinglink rapidminerposted by Daniel Gutierrez, ODSC February 18, 2020

This article focuses on AutoML updates. The field of automated machine learning or AutoML continues to expand with new products and services being announced at a frenetic pace. As a data scientist, I’m motivated to carefully monitor this technology because it could potentially impact my profession,... Read more

Democratizing Machine Learning with H2O

Machine Learning Modeling AutoML H20posted by Parul Pandey February 2, 2020

It is important to make AI accessible to everyone for the sake of social and economic stability. Kaggle days is a two-day event where data science enthusiasts can talk to each other face to face, exchange knowledge, and compete together. Kaggle days San Francisco just concluded and... Read more

7 Top Data Science Trends in 2020 to Be Excited About

Career Insights Featured Post 2020 AutoML Azure Cloud explainable AI NLP Pythonposted by Daniel Gutierrez, ODSC January 31, 2020

As a practicing data scientist, educator, and tech journalist, I automatically have three big motivations for keeping a constant pulse of the industry. Staying in tune with what’s happening, consuming all the news from the movers and shakers, and evaluating new and updated tools as they... Read more

ODSC Europe 2019 Preview: Tutorial on Automated Machine Learning

Blogs from ODSC Speakers Conferences Machine Learning Modeling automated machine learning AutoML ODSC London West 2019posted by Joaquin Vanschoren September 30, 2019

This article is co-written by Joaquin Vanschoren and Pieter Gijsbers. Today’s society increasingly relies on machine learning models for complex tasks such as decision making and personalized medicine. Constructing a good machine learning model is complicated and time-intensive. Relevant data has to be collected and cleaned,... Read more

Garbage In, Garbage Out: Automated Machine Learning Begins with Quality Data

Machine Learning Modeling automated machine learning AutoMLposted by SparkCognition September 30, 2019

It’s no secret that machine learning methods are highly dependent on the quality of the data they receive as input. If you think of machine learning as a manufacturing process, the higher the quality of the input data, the more likely it is that the final... Read more

The Past, Present, and Future of Automated Machine Learning

Conferences Machine Learning Modeling automated machine learning AutoML West 2018posted by Daniel Gutierrez, ODSC July 22, 2019

As a consultant in data science and machine learning, and also a tech journalist, I’m in a position to recognize current trends in the industry. One of the latest crazes centers around “automated machine learning” or AutoML as many call it. In fact, I’ve written a... Read more

Using Auto-sklearn for More Efficient Model Training

Machine Learning Modeling AutoML Conferences Machine Learningposted by Luke Coughlin June 14, 2019

Applying a machine learning algorithm to any number of data-related tasks can be an enormous time saver, but the variable factors associated with creating an algorithm can be daunting. One must consider a variety of design-related decisions, and the risks surrounding the creation of an accurate... Read more