Four Core Skills Needed for Machine Learning
Getting started with machine learning can be a daunting task. There are many opinions on the subject and some disagreements about where to start. But today, we want to show you the best path forward in your machine learning journey. Getting started won’t be easy, but... Read more
Anomaly Detection in a Machine Learning Scoring Model
In my most recent default scoring data science projects, I wanted an automatic tool that could warn me, especially during the development stage, when my model’s predictions were incoherent, whether it was because there had been a problem in the data processing, or because the model... Read more
Azure Machine Learning CLI v2 and Python SDK v2
Azure Machine Learning is committed to simplifying the adoption of its platform for training and production cycles. Over the last several months, we have worked on adding support for workflows using command lines and support for scripts in multiple languages. We have also worked on bringing... Read more
Top 6 Predictive Analytics Models and Their Use Cases
People who use predictive analytics models aim to look at current and past data and use it to pinpoint the likelihood of future outcomes. Here are six common types of predictive analytics models and potential reasons to use them.  1. Decision Tree Model The decision tree... Read more
Machine Learning with Humans: Integrating Experts Into the Learning Process
Editor’s note: Adam is a speaker for ODSC Europe 2022. Be sure to check out his talk, “ML with Humans: Integrating Experts into the Learning Process,” there! Active learning is a process in which, as part of the machine learning workflow, experts are asked their opinion... Read more
Can Machine Learning Discover the Laws of Nature?
Editor’s Note: Yair Weiss, PhD is a speaker for ODSC Europe 2022 this June 15th-16th. Be sure to check out his talk, “Scientific Discovery and Unsupervised Disentanglement,” there! Johanne Kepler (1571-1630) was in some sense a tremendously successful data scientist. While many astronomers have worked hard... Read more
TensorFlow vs Keras as an ML Framework
The success of a machine learning (ML) project can often come down to the framework it uses. Different systems fit different situations and users, so selecting the proper library is an important step in delivering the desired results. In that spirit, here’s a comparison of two... Read more
Identifying Cross-Country Inflation Trends with an Autoencoder in TensorFlow
Editor’s Note: Isaiah Hull is a speaker for ODSC Europe 2022 this June 15th-16th. Be sure to check out his talk, “Machine Learning for Economics and Finance in TensorFlow 2,” there! The consumer price index (CPI) measures the cost of a fixed basket of goods and... Read more
Has Deep Learning Made Traditional Machine Learning Obsolete?
The artificial intelligence (AI) field has made its mark on virtually every industry, from manufacturing and logistics to robotics and health care. AI is becoming increasingly advanced, allowing more companies to integrate AI solutions into their business models. One of the main subsets of AI is... Read more
7 More Methods For Better Machine Learning
Many companies are now utilizing data science and machine learning, but there’s still a lot of room for improvement in terms of ROI. A 2021 VentureBeat analysis suggests that 87% of AI models never make it to a production environment and an MIT Sloan Management Review article found that... Read more