[unable to retrieve full-text content]Kogentix Automated Machine Learning Platform is the only solution we have seen that runs natively on Spark and includes all of the elements required to build and run a machine learning application.
Original Post: Kogentix Automated Machine Learning Platform
[unable to retrieve full-text content]In this tutorial, we will see how to apply a Genetic Algorithm (GA) for finding an optimal window size and a number of units in Long Short-Term Memory (LSTM) based Recurrent Neural Network (RNN).
Original Post: Using Genetic Algorithm for Optimizing Recurrent Neural Networks
[unable to retrieve full-text content]See how banks can use Automated Machine Learning to gain a competitive advantage, while quickly aligning their business operation to regulatory requirements.
Original Post: Webinar: Minimizing Model Risk with Automated Machine Learning, Jan 31
[unable to retrieve full-text content]H2O.ai recently launched Driverless AI, which speeds up data science workflows by automating feature engineering, model tuning, ensembling, and model deployment.
Original Post: Driverless AI: Fast, Accurate, Interpretable AI
[unable to retrieve full-text content]In this webinar, Jan 11, DataRobot will show how automated machine learning can be used to reduce false positive rates, thereby improving the efficiency of AML transaction monitoring and reducing costs.
Original Post: Enhancing Anti-Money Laundering Programs with Automated Machine Learning, Jan 11 Webinar
[unable to retrieve full-text content]Join DataRobot, Dec 13, for a webinar discussion of the current state of machine learning in fraud detection and learn how you can stay one step ahead of those looking to harm your business.
Original Post: Advances in Fraud Detection with Automated Machine Learning
[unable to retrieve full-text content]In this webinar, Dec 12, DataRobot outlines Multichannel Marketing Attribution with Automated Machine Learning, demonstrating how automated machine learning offers the shortest path to success. Space is limited, so sign up now!
Original Post: Multichannel Marketing Attribution with Automated Machine Learning, Dec 12 Webinar
[unable to retrieve full-text content]We introduce a general framework for developing time series models, generating features and preprocessing the data, and exploring the potential to automate this process in order to apply advanced machine learning algorithms to almost any time series problem.
Original Post: Automated Feature Engineering for Time Series Data
[unable to retrieve full-text content]Jen Underwood will review how to organize data in a machine learning-friendly format that accurately reflects the business process and outcomes.
Original Post: Webinar: Data Preparation Essentials for Automated Machine Learning, Nov 29
[unable to retrieve full-text content]Learn how much value companies can get by adding AI to business applications and processes through AI and automation, how to architect a smart business with ubiquitous AI, and more.
Original Post: Webinar: Transform the business with automated embedded Artificial Intelligence, Nov 16