Tag: Big data
6 step field guide for building Machine Learning projects
Posted on September 30, 2019, Level intermediate Resource Length long
Daniel Bourke is author of this piece about what to do if you have data and want to know how you can use machine learning with it.
Deep learning with Electronic Health Record (EHR) systems
Posted on September 26, 2019, Level intermediate Resource Length long
Goku Mohandas wrote this comprehensive look at recent machine learning advancements in health. There exists source of data, beyond imaging studies, that can change the way we approach health: the electronic health record (EHR).
Pytorch vs. Tensorflow: which framework is best for your deep learning project?
Posted on September 7, 2019, Level beginner Resource Length long
Written by Vihar Kurama. Author takes a look at two popular frameworks and compares them: PyTorch vs. TensorFlow.
Microsoft IoT Signals research report on state of IoT adoption
Posted on August 18, 2019, Level beginner Resource Length short
Microsoft recently announced IoT Signals, a new research report on the IoT landscape globally. Microsoft surveyed over 3,000 IoT decision-makers in enterprise organizations in order to give a view of the IoT ecosystem, with adoption rates, related technology trends, challenges, and benefits of IoT.
Bias Variance decompositions using XGBoost
Posted on August 17, 2019, Level beginner Resource Length long
This blog dives into a theoretical machine learning concept called the bias-variance decomposition. This decomposition is a method which examines the expected generalization error for a given learning algorithm and a given data source. This helps us understand various questions about model. Written by RAPIDS.
Bias detection in IBM Watson OpenScale
Posted on August 12, 2019, Level intermediate Resource Length medium
Manish Bhide wrote this article on fairness or bias is one of the big issues that plagues the adoption of AI in enterprises.
A beginner's guide to natural language processing
Posted on July 23, 2019, Level beginner Resource Length medium
An article by M. Tim Jones about how natural language processing can help you to converse more naturally with computers.
Processing satellite image collections in R with the gdalcubes package
Posted on July 19, 2019, Level intermediate Resource Length long
Marius Appel wrote this piece about processing satellite image collections. This blog post introduces the gdalcubes R package, aiming at making the work with collections and time series of satellite imagery easier and more interactive.
Microsoft's Quantum Development Kit goes open source on GitHub
Posted on July 12, 2019, Level beginner Resource Length short
Announcement form Microsoft about open sourcing Quantum Devleopment Kit (QDK). The QDK launched in preview last year, and is Microsoft's attempt to get developers familiar with quantum computing before it goes mainstream. Developers will now be able to contribute to the QDK's development via GitHub. Quantum for everyone.
Python machine learning tutorial: predicting Airbnb prices
Posted on July 11, 2019, Level intermediate Resource Length long
Machine learning is pretty undeniably the hottest topic in data science right now. It's also the basic concept that underpins some of the most exciting areas in technology, like self-driving cars and predictive analytics. An article by dataquest.io in which you will be introduced to the fundamental concepts of machine learning. As you follow along, you'll build your very first model from scratch to make predictions, while understanding exactly how your model works.
Searching for ET using AI on GCP
Posted on July 10, 2019, Level intermediate Resource Length long
Rob Harrand wrote this article about aproject playing with open data from SETI. They say that the best way to learn data science is to create something. Some of the most interesting data publicly available in GitHub repositories is data from the SETI Institute (the Search for Extraterrestial Intelligence).
Finding CRAN packages right from the R console
Posted on June 25, 2019, Level intermediate Resource Length short
The article from Joachim Zuckarelli about working woth Rlang. Currently, there are more than 14,000 R package contributions on CRAN providing R with an unparalleled wealth of features. The downside of the large and increasing amount of packages is that it becomes increasingly difficult to find the right tools to tackle a specific problem.