Machine Learning Archives

How to Prepare for an Automated Future: 7 Steps to Machine Learning

Machine Learning Modeling Automation Machine Learningposted by Mark van Rijmenam August 29, 2019

The increasingly digital economy requires boards and executives to have a solid understanding of the rapidly changing digital landscape. Naturally, artificial intelligence (AI) is an important stakeholder. Those organisations that want to prepare for an automated future should have a thorough understanding of AI. However, AI is an... Read more

What Do Managers and Decision Makers Need to Know About AutoML?

Business + Management Machine Learning Modeling future of machine learning Machine Learning MLposted by Elizabeth Wallace, ODSC August 28, 2019

You want to be working in machine learning and artificial intelligence, but you don’t have the talent yet. You’re telling your board members that you’re using AI when you’re really just doing some basic data analysis. You feel like everyone is working in ML and you’re... Read more

Making Fairness an Intrinsic Part of Machine Learning

Blogs from ODSC Speakers Conferences Machine Learning Modeling Ethics Machine Learning machine learning fairnessposted by Sray Agarwal August 23, 2019

The suitability of Machine Learning models is traditionally measured on its accuracy. A highly accurate model based on metrics like RMSE, MAPE, AUC, ROC, Gini, etc are considered to be high performing models. While such accuracy metrics important, are there other metrics that the data science... Read more

Optuna: An Automatic Hyperparameter Optimization Framework

Blogs from ODSC Speakers Conferences Machine Learning Modeling Tools & Languages hyperparameter Machine Learning optuna West 2019posted by Takuya Akiba-san August 22, 2019

Note: Please go here to see a high-resolution version of the title image) Preferred Networks has released a beta version of an open-source, automatic hyperparameter optimization framework called Optuna. In this blog, we will introduce the motivation behind the development of Optuna as well as its... Read more

IBM Research Launches Explainable AI Toolkit

Machine Learning Modeling AI ai toolkit explainable AI interpretable aiposted by Daniel Gutierrez, ODSC August 22, 2019

Explainability or interpretability of AI is a huge deal these days, especially due to the rise in the number of enterprises depending on the decisions made by machine learning and deep learning. Naturally, stakeholders want a level of transparency for how the algorithms came up with... Read more

What is Augmented Programming?

Blogs from ODSC Speakers Conferences Machine Learning Modeling augmented machine learning augmented programmingposted by Gideon Mann August 21, 2019

Ed Note: Gideon is speaking at ODSC Europe 2019; see his talk “Augmented Programming” there. Over the past decade, deep learning research has led to significant advances in perceptual tasks, such as object detection, face recognition, and speech recognition. In each of these use cases, raw real-world... Read more

The Interplay of Experimentation and ML to Aid in Repayment of Micro-Loans in Sub-Saharan Africa

Blogs from ODSC Speakers Conferences Data Science for Good Machine Learning Modeling Data Science for Good microloans MLposted by Brianna Schuyler August 16, 2019

Editor’s Note: Brianna is speaking at ODSC West 2019 and ODSC Europe 2019, see her talk “The Interplay of Experimentation and ML to Aid in Repayment of Micro-Loans in Sub-Saharan Africa” there Imagine through a twist of fate that rather than living the life that brought you... Read more

Building a Convolutional Neural Network: Male vs Female

Machine Learning Modeling convnets Neural Networksposted by Shadab Hussain August 14, 2019

In this blog, we are going to classify images using Convolutional Neural Network (CNN), and for deployment, you can use Colab, Kaggle, or even use your local machine since the dataset size is not very large. At the end of this, you will be able to... Read more

RAPIDS 0.8: Same Community New Freedoms

Machine Learning Modeling Tools & Languages Machine Learning PyTorch rapidsposted by RAPIDS August 13, 2019

RAPIDS released 0.8 a few weeks back. And afterwards, like most Americans, we took off for the 4th of July holiday. Over that break, I reflected on the purpose of RAPIDS. Speed is great, building a strong community is awesome, but the true power of RAPIDS is... Read more

Cracking the Box: Interpreting Black Box Machine Learning Models

Machine Learning Modeling black box black box machine learning Machine Learningposted by Yuriy Gavrilin August 7, 2019

Intro To kick off this article, I’d like to explain the interpretability of a machine learning (ML) model. According to Merriam-Webster, interpretability describes the process of making something plain or understandable. In the context of ML, interpretability provides us with an understandable explanation of how a... Read more