Jupyter Digest: 30 May 2017
Script generation from RNNs, Tensorflow book companion notebooks, transportation insights from notebooks, machine learning notebooks.
What's on our radar.
Script generation from RNNs, Tensorflow book companion notebooks, transportation insights from notebooks, machine learning notebooks.
Jupyter as a learning tool, the JupyterHub Project, and Music21.
World Problems, Story AI, Medical Security Horrors, and OSS Fuzz Winning
Sukiyaki in French style, brick-and-mortar conversion tracking, route-based pricing, and technological productivity.
How to use Apache Spark’s Resilient Distributed Dataset (RDD) API.
Tim O’Reilly delves into past technological transitions, speculates on the possibilities of AI, and looks at what's keeping us from making the right choices to govern our creations.
Ziya Ma outlines the challenges for applying machine learning and deep learning at scale and shares solutions that Intel has enabled for customers and partners.
Eddie Copeland explores how the London Office of Data Analytics overcame the barriers to joining, analyzing, and acting upon public sector data at city scale.
Aida Mehonic explores the role artificial intelligent might play in the financial world.
Tom Smith explains how the UK's Office of National Statistics is using data science to create repeatable, accurate, and transferable statistical research.
Grace Huang shares lessons learned from running and interpreting machine-learning experiments.
The O’Reilly Data Show Podcast: Jeremy Stanley on hiring and leading machine learning engineers to build world-class data products.
The O’Reilly Design Podcast: What makes healthy teams healthy, being customer obsessed, and design and research at Microsoft.
Project Jupyter co-founder Brian Granger on the JupyterLab project, its potential role in scientific and tech communities, and the expanding role of notebooks.
The O’Reilly Bots Podcast: The technical and social dynamics of solving scheduling problems.
M. C. Srivas covers Uber's big data architecture and explores the real-time problems Uber needs to solve to make ride sharing smooth.
Watch highlights covering data-driven business, data engineering, machine learning, and more. From Strata Data Conference in London 2017.
Darren Strange asks: What part will we each play in what is sure to be one of the most exciting times in computer science?
Aurélie Pols draws a broad philosophical picture of the data ecosystem and then hones in on the right to data portability.
Miriam Redi investigates how machine learning can detect subjective properties of images and videos, such as beauty, creativity, and sentiment.
Anthony Goldbloom shares lessons learned from top performers in the Kaggle community and explores the types of machine-learning techniques typically used.
Using the music industry as an example, Paul Brook shows how modern information points bring new data that changes the way an organization will make decisions.
Learn what it takes to make the most of your design team.
The O’Reilly Security Podcast: How adversarial posture affects decision-making, how decision trees can build more dynamic defenses, and the imperative role of UX in security.
Five questions for Gwen Shapira about how Kafka can enable business agility.
Level up your skills set before diving into React.
TensorFlow cookbook materials, source notebooks, Python lectures, and Software Carpentry.
AutoML, AI photo editing, AI product studio, and Apple and dark data.
Cindy Alvarez outlines the components of a hypothesis and shares examples of successful and unsuccessful hypotheses.
Rana el Kaliouby discusses the techniques, possibilities, and challenges around emotion AI today.
The O’Reilly Programming Podcast: Applying the latest language features to build video games and containerized microservices.
Five questions for Laura Frank about orchestration, security, and beyond.
Teresa Tung on building a business case for the Internet of Things.
Integration tools and vision systems represent two developments in enterprise AR that point to bigger things to come.
Bas Geerdink details the technology stack for real-time account forecasting at ING, and outlines how Spark is used for outbound communications.
Access to critical data in real time enables workers to generate insights from large amounts of information.
TSFRESH, 100 days of algorithms, how JupyterHub tamed big science, colorizing photos.
Five Questions for Sebastien Goasguen about Kubernetes and the cloud native tools that support it.
Medical ImageNet, NVIDIA GTC, corporate responsibility in tech, online pricing
Zaheda Bhorat talks about open source at Amazon Web Services (AWS) and takes you through highlights of her journey to AWS.
Brad Fitzpatrick shares wisdom and anecdotes from his open source experiences.
Stephanie Hurlburt explains why an open ecosystem is essential for the survival of virtual reality.
Saron Yitbarek explores examples of technical projects in education, health, and grassroots political activism that moved too fast.
The O’Reilly Open Source Awards honor exceptional contributions to open source software. The Frank Willison Memorial Award recognizes outstanding contributions to the Python community.
The O’Reilly Data Show Podcast: David Ferrucci on the evolution of AI systems for language understanding.
The O’Reilly Design Podcast: The connective nature of product management, “no work above, no work below,” and the importance of talking to people who aren’t your customers.
The O’Reilly Bots Podcast: The social impact of Facebook.
Five questions with Cory House: On building a JavaScript development environment, getting started with React, and gaining new skills as a developer.
Alvand Salehi walks through some of the government’s open source projects available on the newly launched Code.gov.
Dianne Marsh explains how open source contributed to Netflix's success, and vice versa.
Source code management, CI pipelines, and IaaS have open alternatives, but most projects are developed on proprietary infrastructure. Christopher Aedo explains how to make open choices.
Brian Behlendorf looks at how open source software and the blockchain offer models for building trust in your systems.
How Evan Booth's adventures in real-world transmogrification have shaped his perspective on open source hardware, manufacturing, and finding potential in the unremarkable.
Ying Xiong discusses the fast-growing open source market in China.
Watch highlights covering open source, open infrastructure, the business of open source, and more. From the O'Reilly OSCON Conference in Austin 2017.
The O’Reilly Security Podcast: Compounding security technical debt, the importance of security hygiene, and how the speed of innovation reintroduces vulnerabilities.
Executive reading: Why you need to democratize data.
A data-driven study of the complete Internet of Things (IoT) market.
Aman Naimat discusses what he learned from building a knowledge graph of the entire business world.
Opinionated Docker stacks, Jupyter Themes, Jupyter in the bank, and Zuckerberg's man in the lab.
How Stitch Fix systematizes collaboration between stylists and AI software.
Caffe2, deep learning best practices, intelligent design and wizard hats
The O’Reilly Programming Podcast: Building an architecture that can adapt to change.