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Machine Learning

Active Learning: Your Model’s New Personal Trainer

Conferences Modeling Conferences Machine Learning ODSC Europeposted by Brandon Dey, ODSC November 20, 2018

First, some facts. Fact: active learning is not just another name for reinforcement learning; active learning is not a model; and no, active learning is not deep learning. What active learning is and why it may be an important component of your next machine learning project was the subject... Read more

Three Machine Learning Practices That Keep Your Identity Safe

Accelerate AI Machine Learningposted by Paxtyn Merten November 6, 2018

As privacy concerns escalate in the age of big data, developers constantly evolve artificial intelligence and machine learning techniques to protect individuals’ identities. Machine learning systems enable businesses to more effectively identify fraud and keep user information safe. These systems gather data that can provide much more powerful insights... Read more

An Introduction to Reinforcement Learning Concepts

Conferences Modeling Machine Learning Reinforcement Learningposted by Diego Arenas, ODSC November 6, 2018

Individuals interested in reinforcement learning crowded into a room at ODSC Europe 2018. There, Badoo’s lead data scientist Leonardo De Marchi hosted a four-hour workshop to guide attendees through the first steps. What is reinforcement learning? Reinforcement learning is one machine learning approach. Most people know of supervised and unsupervised learning.... Read more

Client-side Web Development and Machine Learning

Tools & Languages Client-side Web Development Javascript Machine Learning TensorFire TensorFlowposted by Caspar Wylie, ODSC October 31, 2018

You might not expect client-side web development and machine learning to be in the same sentence. In this article, however, we’re going to look at how and why these two are beginning to collaborate rather successfully. There are many hidden uses for a collaboration between Javascript and machine learning.... Read more

Crash Course: Pool-Based Sampling in Active Learning

Modeling active learning Machine Learning ODSC West supervised algorithmsposted by Spencer Norris, ODSC October 30, 2018

Active learning is a class of machine learning problems where labeled data isn’t available for supervised algorithms. Let’s take the classic setup as an example. Say we have pictures of birds and want to classify them by type, but the images don’t have labels for what kind of bird... Read more

Classic Regularization Techniques in Neural Networks

Modeling classic regularization Machine Learning Neural Networks ODSC West regularizationposted by Spencer Norris, ODSC October 29, 2018

Neural networks are notoriously tricky to optimize. There isn’t a way to compute a global optimum for weight parameters, so we’re left fishing around in the dark for acceptable solutions while trying to ensure we don’t overfit the data. This is a quick overview of the most popular approaches... Read more

How Entertainment and Social Media Giants are Using Machine Learning

Accelerate AI Tech Updates facebook Machine Learning netflix twitterposted by Alex Landa, ODSC October 26, 2018

Major names in social media didn’t get there by accident. In addition to their excellent products, marketing, and sales strategies, machine learning is a huge part of the backbone that makes many of their processes successful. Facebook, Twitter, among other names you’ve definitely heard of have become the powerhouses... Read more

Exploring Scikit-Learn Further: The Bells and Whistles of Preprocessing

Python Tools & Languages Machine Learning model preprocessing Python Scikit-Learnposted by Spencer Norris, ODSC October 25, 2018

In my previous post, we constructed a simple cross-validated regression model using Scikit-Learn in 35 lines. It’s pretty amazing that we can perform machine learning with so little effort, but we just did the bare minimum in order to get a working model. Frankly, it didn’t even perform that well.... Read more

Three Ways Researchers are Using Data Science for Good

Data Science for Good conservation Data Science for Good Machine Learning mobile money ODSC West solar energyposted by Paxtyn Merten October 23, 2018

Data experts have long identified marginalization and narrow-minded problem solving as some of the biggest challenges facing data science. When large technology enterprises only seek solutions to problems they face within their company and their communities, it exacerbates inequalities. But companies, nonprofits, and individuals across the globe are making... Read more

What Model Should I Choose for My Data Science Project?

Modeling Machine Learning Modelingposted by Spencer Norris, ODSC October 23, 2018

What to ask yourself when you’re balancing model performance, interpretability, and other costs It might seem silly to bother doing anything other than build the best black box machine learning model possible, as long as it gets good performance. That makes perfect sense on personal projects and Kaggle competitions. But it’s an... Read more