How to build an evolutionary architecture
March 2, 2020
Around 2017, Antonio Jimenez and Pedro Martos embarked on an ambitious journey: to redefine one of the company's most mission-critical, most complex products from scratch. Join them as they explore how you can achieve an evolutionary architecture from solid foundations such as microservices architecture within a continuous delivery pipeline.
Introduction to Hilbert AutoML with TensorFlow Extended (TFX) at Yahoo! JAPAN
February 23, 2020
Hilbert is an AI framework that works with TensorFlow Extended (TFX) at Yahoo! JAPAN, which provides AutoML to create production-level deep learning models automatically. Hilbert is currently used by over 20 services of Yahoo! JAPAN. Shin-Ichiro Okamoto details how to achieve production-level AutoML and explores service use cases at Yahoo! JAPAN.
Make Alexa and Siri speak with each other: Toward a universal grammar in AI
February 18, 2020
More than 50% of all interactions between humans and machines are expected to be speech-based by 2022. The challenge: Every AI interprets human language slightly different. Tobias Martens details current issues in NLP interoperability and uses Chomsky's theory of universal hard-wired grammar to outline a framework to make the human voice in AI universal, accountable, and computable.
An introduction to machine learning on graphs
February 16, 2020
Graphs are a powerful way to represent knowledge. Organizations, in fields such as biosciences and finance, are starting to amass large knowledge graphs, but they lack the machine learning tools to extract insights from them. David Mack offers an overview of what insights are possible and surveys the most popular approaches.
Recommendation system using deep learning
February 3, 2020
Recommendation systems play a significant rolefor users, a new world of options; for companies, it drives engagement and satisfaction. Amit Kapoor and Bargava Subramanian walk you through the different paradigms of recommendation systems and introduce you to deep learning-based approaches. You'll gain the practical hands-on knowledge to build, select, deploy, and maintain a recommendation system.
A hands-on introduction to natural language processing in Python
February 1, 2020
With the advent of voice-based assistants and chatbots in our homes, our phones, and our computers, businesses, stakeholders, and developers want to learn about language processing. Grishma Jena introduces you to natural language processing (NLP) using Python. You'll start off with textual data and learn how to process it to derive useful insights that can be used in real-world applications.
Building a deployment pipeline with Jenkins 2
January 31, 2020
Brent Laster offers a brief, practical introduction to Jenkins as well as a guide to leveraging its automation and integration with other open source technologies to create a simple, working build and deployment pipeline that implements principles of continuous integration and continuous delivery.