Using {drake} for Machine Learning
A few weeks ago, Miles McBain toke us for a tour through his project organisation in this blogpost. Not surprisingly given Miles’ frequent shoutouts about the package, it is completely...continue reading.
A few weeks ago, Miles McBain toke us for a tour through his project organisation in this blogpost. Not surprisingly given Miles’ frequent shoutouts about the package, it is completely...continue reading.
Compared to other applications, deep learning models might not seem too likely as victims of privacy attacks. However, methods exist to determine whether an entity was used in the training...continue reading.
Representing words in a numerical format has been a challenging and important first step in building any kind of Machine Learning (ML) system for processing natural language, be it for...continue reading.
In this article I use the random forest algorithm to forecast mid price dynamic over short time horizon i.e. a few seconds ahead. This is of particular interest to market...continue reading.
Having access to the right data, at the right time, and in the right format, in order to inform your… The post Successful Strategies to Navigate Your Team Through Times...continue reading.
Deep learning need not be irreconcilable with privacy protection. Federated learning enables on-device, distributed model training; encryption keeps model and gradient updates private; differential privacy prevents the training data from...continue reading.
A summary of common problems that my colleagues and I had when migrating R / packages to newer version.continue reading.
Deep learning need not be irreconcilable with privacy protection. Federated learning enables on-device, distributed model training; encryption keeps model and gradient updates private; differential privacy prevents the training data from...continue reading.
A new sparklyr release is now available. This sparklyr 1.2 release features new functionalities such as support for Databricks Connect, a Spark backend for the ‘foreach’ package, inter-op improvements for...continue reading.
Part 1 of this blog series discussed how to:apply for free academic license of H2O.ai automated machine learning (AutoML) platform Driverless AI,spin up a VM with budget-oriented cloud provider Paperspace...continue reading.
A new release of pins is available on CRAN today. This release adds support to time travel across dataset versions, which improves collaboration and protects your code from breaking when...continue reading.
The term “federated learning” was coined to describe a form of distributed model training where the data remains on client devices, i.e., is never shipped to the coordinating server. In...continue reading.
This blog just got a new title: RStudio AI Blog. We explain why.continue reading.
Goal of this post: Add principal component analysis (PCA) Refactor using inheritance Convert gradient descent to stochastic gradient descent Add new tests via pytest What we are leaving for the...continue reading.
Goal of this post: Move beyond single linear regression into multiple linear regression by utilizing gradient descent Refactor using inheritance Reconfigure our pytest to include the general case What we...continue reading.
It’s not easy for non-tech companies to find a ML expert. Hiring a machine learning consulting firm might be your best bet. It’s easy to get… The post How Machine...continue reading.
TL;DR Artificial Intelligence, Machine Learning, and Deep Learning models have demonstrated significant power to grow and improve businesses. We have found that the best approach to AI production is what...continue reading.
We have now entered part 2 of our series on object oriented programming in Python for machine learning. If you have not already done so, you may want to check...continue reading.
Data scientists who come to the career without a software background (myself included) tend to use a procedural style of programming rather than taking an object oriented approach. Changing styles...continue reading.
Introduction Historically, only governments and large corporations have had access to quality satellite images. In recent years, satellite image datasets have become available to anyone with a computer and an...continue reading.