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

Using Auto-sklearn for More Efficient Model Training

Machine Learning Modeling AutoML Conferences Machine Learningposted by Luke Coughlin June 14, 2019

Applying a machine learning algorithm to any number of data-related tasks can be an enormous time saver, but the variable factors associated with creating an algorithm can be daunting. One must consider a variety of design-related decisions, and the risks surrounding the creation of an accurate architecture can make... Read more

Strategies for Addressing Class Imbalance

Machine Learning Modeling Python Machine Learningposted by Nathaniel Jermain June 6, 2019

Class imbalance is common in real-world datasets. For example, a dataset with examples of credit card fraud will often have exponentially more records of non-fraudulent activity than those of fraudulent cases. In many applications, training your model on imbalanced classes can inhibit model functionality if predictive accuracy for minority... Read more

Building Your First Bayesian Model in R

Machine Learning Modeling Machine Learningposted by Nathaniel Jermain June 5, 2019

Bayesian models offer a method for making probabilistic predictions about the state of the world. Key advantages over a frequentist framework include the ability to incorporate prior information into the analysis, estimate missing values along with parameter values, and make statements about the probability of a certain hypothesis. The... Read more

The Best Machine Learning Research of 2019 So Far

Machine Learning Modeling Research Machine Learning Researchposted by Luke Coughlin May 29, 2019

The uses of machine learning are expanding rapidly. Already in 2019, significant research has been done in exploring new vistas for the use of this technology. Gathered below is a list of some of the most exciting research that has been undertaken in the realm of machine learning so... Read more

Watch: Challenges and Opportunities in Applying Machine Learning

Accelerate AI Conferences Machine Learning Accelerate AI Conferences Machine Learningposted by ODSC Team May 28, 2019

There are many opportunities in applying machine learning, whether as an individual developer or in a business. But how do you get started? This talk provides an overview that separates fact from fiction and proposes processes to find opportunities for applying ML. This includes understanding where ML can have... Read more

Watch: Deploying Investments in AI and Machine Learning

Accelerate AI Machine Learning ODSC Speaker Accelerate AI Machine Learningposted by ODSC Team May 24, 2019

Over the next 18 months, companies will be completing the R&D phase of their AI/ML investments and will be deploying their models and algorithms to production. The proper execution of deploying your AI/ML models will separate the organizations who see an ROI on AI from those who don’t. This... Read more

Designing Better Recommendation Systems with Machine Learning

Machine Learning Conferences Machine Learning Recommendation Systemposted by Luke Coughlin May 23, 2019

Recommendation systems are among the most familiar applications of machine learning and artificial intelligence. Not only are these systems valuable to consumers who may be looking for anything from new shows to watch or a better options for airfare, but they are also important to the producers and advertisers... Read more

The Complete Guide to Decision Trees (part 2)

Machine Learning Modeling Decision Trees Machine Learningposted by Diego Lopez Yse May 21, 2019

(See part 1 here.) Now you may ask yourself: how do DTs know which features to select and how to split the data? To understand that, we need to get into some details. All DTs perform basically the same task: they examine all the attributes of the dataset to... Read more

Operationalization of Machine Learning Models

Accelerate AI Machine Learning Accelerate AI Machine Learningposted by Elizabeth Wallace, ODSC May 21, 2019

Lots of businesses want to use machine learning, but few are ready to integrate machine learning into a real-life context of operations. Dr. Mufajjul Ali, Data Solutions Architect for Microsoft, outlines how Microsoft is addressing these needs and offers some advice for businesses looking to operationalize ML models and... Read more

The Complete Guide to Decision Trees (part 1)

Guest contributor Machine Learning Modeling Decision Trees Machine Learningposted by Diego Lopez Yse May 15, 2019

In the beginning, learning Machine Learning (ML) can be intimidating. Terms like “Gradient Descent”, “Latent Dirichlet Allocation” or “Convolutional Layer” can scare lots of people. But there are friendly ways of getting into the discipline, and I think starting with this guide to decision trees is a wise decision.... Read more