Machine Learning Archives - Open Data Science - Your News Source for AI, Machine Learning & 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

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 especially if these tools open up the field of... Read more

Machine Learning for Time Series Data

Machine Learning Modeling Time Seriesposted by Jacey Heuer February 18, 2020

Most organizations generate time-series data. The generation of sales data and financial data are primary components of all organizations’ business. This data is a form of time series data. Time series data consists of any data that carries a temporal component with it. Time series data is data that... Read more

Getting Started with H2O using Flow

Machine Learning Modeling Flow H20 Predictive Modelingposted by Parul Pandey February 13, 2020

Data collection is easy. Decision making is hard. Today, we have access to a humungous amount of data, which is only increasing day by day. This is primarily due to the surge in the data collection capabilities and the increased computing power to store this collected data. However, collecting... Read more

Inversion of 2D Remote Sensing Data to 3D Volumetric Models Using Deep Dimensionality Exchange

Conferences Deep Learning Machine Learning Modeling ODSC Speaker East 2020posted by ODSC Community February 12, 2020

By Graham Ganssle, PhD, Head of Data Science, Expero Inc. Be sure to check out his upcoming talk at ODSC East 2020 this April 13-17, “Inversion of 2D Remote Sensing Data to 3D Volumetric Models Using Deep Dimensionality Exchange,” there! Many companies are continuously exploring for and monitoring the stability of CO2... Read more

Beginner’s Guide to K-Nearest Neighbors in R: from Zero to Hero

Machine Learning Modeling R Tools & Languages k-nearest neighborsposted by Leihua Ye February 10, 2020

In the world of Machine Learning, I find the K-Nearest Neighbors (KNN) classifier makes the most intuitive sense and easily accessible to beginners even without introducing any math notations. To decide the label of an observation, we look at its neighbors and assign the neighbors’ label to the observation... Read more

Research Note: What Are Natural Experiments? Methods, Approaches, and Applications

Machine Learning Modeling causal inference natural experimentsposted by Leihua Ye February 4, 2020

I enjoy reading Craig et al. (2017) ‘s review article on Natural Experiments (An Overview of Methods, Approaches, and Contributions to Public Health Intervention Research). In this post, I want to summarize its key points and attach some of my reflections about the development of causal inference. This review article... Read more

A Concrete Application of Topological Data Analysis

Machine Learning Modeling Machine Learning Topological Data Analysisposted by Mathieu Carrière January 30, 2020

Today, I will present a Machine Learning application of Topological Data Analysis (TDA), a rapidly evolving field of data science that makes use of topology to improve data analysis. It is largely inspired by one of my projects. Great! Wait… what is TDA? I will start by briefly recalling the basics... Read more

Not Quite a Perfect Model Stack

Machine Learning Modeling ensemble modeling stacked modelsposted by Jacey Heuer January 29, 2020

In model building, the power of the majority can be a great thing. For those scholars of democracy, this does not refer to Alexis de Tocqueville’s tyranny in the power of majority. I apologize as that is probably a poor pun and may be a bit of a nerdy... Read more

Top 7 Machine Learning Frameworks for 2020

Machine Learning Modeling caffe firebase Keras microsoft cognitive toolkit PyTorch Scikit-Learn TensorFlowposted by Elizabeth Wallace, ODSC January 27, 2020

Machine learning is a nightmare without some kind of structure. You can’t build everything from scratch, especially if you’re in a business setting. Even if you want to (and if you do, comment here and tell us about it!), you don’t have time in most cases. You need a... Read more

Decision Intelligence and Why Goldilocks Made Bad Choices

Featured Post Machine Learning Modeling domain intelligence East 2020posted by Scott Haines January 9, 2020

Spoiler: Goldilocks survives. Let us first start by saying things could have turned out much worse. Really worse. Don’t walk into a stranger’s house and eat their food and nap in their house. This is just a no-brainer! In the real world when we make decisions there is a much... Read more