[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jana Eggers on building applications that rely on synaptic intelligence. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In thisContinue reading “Enabling enterprise adoption of AI technologies”
Category Archives: Data Science
Using Agile development techniques for data science projects
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: John Akred on building data platforms and enterprise data strategies. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In thisContinue reading “Using Agile development techniques for data science projects”
3 ideas to add to your data science toolkit
[A version of this post appears on the O’Reilly Radar.] Techniques to address overfitting, hyperparameter tuning, and model interpretability. I’m always on the lookout for ideas that can improve how I tackle data analysis projects. I particularly favor approaches that translate to tools I can use repeatedly. Most of the time, I find these toolsContinue reading “3 ideas to add to your data science toolkit”
Commercial speech recognition systems in the age of big data and deep learning
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Yishay Carmiel on applications of deep learning in text and speech. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. InContinue reading “Commercial speech recognition systems in the age of big data and deep learning”
What is Artificial Intelligence?
Mike Loukides and Ben Lorica examine factors that have made AI a hot topic in recent years, today’s successful AI systems, and where AI may be headed. By Ben Lorica and Mike Loukides. [This post originally appeared on the O’Reilly Radar.] Defining artificial intelligence isn’t just difficult; it’s impossible, not the least because we don’tContinue reading “What is Artificial Intelligence?”
Building intelligent applications with deep learning and TensorFlow
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Rajat Monga on the current state of TensorFlow and training large-scale deep neural networks. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Building intelligent applications with deep learning and TensorFlow”
Using AI to build a comprehensive database of knowledge
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Mike Tung on large-scale structured data extraction, intelligent systems, and the importance of knowledge databases. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn,Continue reading “Using AI to build a comprehensive database of knowledge”
Hardcore Data Science, London 2016
The first edition of Hardcore Data Science in Europe featured 12 outstanding sessions. My co-organizer, Angie Ma of ASI deserves much of the credit for recruiting many of the speakers. We had talks on machine learning techniques (deep / transfer / reinforcement / ensemble / semisupervised) applied to a variety of data sets (images, text,Continue reading “Hardcore Data Science, London 2016”
Structured streaming comes to Apache Spark 2.0
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Michael Armbrust on enabling users to perform streaming analytics, without having to reason about streaming. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn,Continue reading “Structured streaming comes to Apache Spark 2.0”
Don’t overlook simpler techniques and algorithms
Even in areas and domains where deep learning excels, simpler approaches are worth examining. A while back I noted that there are several considerations when evaluating machine learning models: Accuracy is the main objective and a lot of effort goes towards raising it. But in practice tradeoffs have to be made, and other considerations playContinue reading “Don’t overlook simpler techniques and algorithms”