Tag: collaboration

Feed: All - O'Reilly Media. Author: Elsa Sotiriadis. A 1925 artist's conception of what Nikola Tesla's wireless power transmission system might look like in the future (source: Wikimedia Commons) Sign up for BioCoder news and updates to say on top of the biological revolution. Biology is becoming the new digital. As the engineering of biology starts delivering solutions at industrial scale while becoming more data-driven and automated, investors are getting excited to fund breakthrough biotechnologies that unlock this potential for a whole range of industries. Europe has been steadily rising as a global hub for innovation and is attracting big ... Read More

Feed: All - O'Reilly Media. Author: Maliha Balala. Formation of mammatus clouds over the city of Regina Saskatchewan (source: Craig Lindsay on Wikimedia Commons) Download two free chapters from "Moving Hadoop to the Cloud" to learn more about harnessing the cloud for Hadoop clusters. When news broke that Amazon was acquiring Whole Foods, brick and mortar retailers panicked. Many industries are feeling pressure to undergo digital transformation for fear of being “Amazoned” (acquired by an online competitor). The International Data Corporation (IDC) forecasts worldwide spending on digital transformation technologies will grow to more than $1.2 trillion in 2017 (an increase ... Read More

Feed: All - O'Reilly Media. Author: Jon Bruner. Woolen threads being woven in a loom (source: Bea Lipson, CSIRO, on Wikimedia Commons) Download the free ebook, “Getting Data Right,” to learn more about data management and integration. As companies have embraced the idea of data-driven management, many have discovered that their hard-won stores of valuable data are badly siloed: separate troves of data live in different parts of the company on separate systems. These data sets may relate to each other in essence, but they’re often difficult to integrate because they differ slightly in schemas and data definitions. In this ... Read More

Feed: All - O'Reilly Media. Author: O'Reilly Media. Layers (source: Robert Couse-Baker on Flickr) JupyterCon is August 22-25, 2017, in New York City. Registration is now open. Lorena Barba is an associate professor of mechanical and aerospace engineering at George Washington University. She will be speaking at JupyterCon, August 22-25, 2017, in New York City. Below, Barba shares her thoughts on the current and future state of Jupyter. 1. How has Jupyter changed the way you work? My research group is pretty eclectic, with a focus on computational fluid dynamics and computational physics, but with a wide range of activities in ... Read More

Feed: All - O'Reilly Media. Author: Jonny Schneider. Metal pattern. (source: PublicDomainPictures.net) This post is an excerpt from “Understanding Design Thinking, Lean, and Agile.” Download the free ebook here. Despite its title, this book is really about ability, learning, and adapting. Design thinking, Lean, and Agile are mindsets that, when practiced, help organizations develop new competencies. We learn to tackle problems and explore possibilities. We strive to make every action a learning opportunity for making better decisions. We put learning to work as we pursue outcomes in a way that’s optimized for adapting to constant change. More than following steps, ... Read More

Feed: All - O'Reilly Media. Author: Arthur Juliani. Image from page 206 of "Mazes and labyrinths; a general account of their history and developments" (1922). (source: Internet Archive on Flickr) Attention readers: We invite you to access the corresponding Python code and iPython notebooks for this article on GitHub. Reinforcement learning (RL) is about training agents to complete tasks. We typically think of this as being able to accomplish some goal. Take, for example, a robot we might want to train to open a door. Reinforcement learning can be used as a framework for teaching the robot to open the ... Read More

Feed: All - O'Reilly Media. Author: Adam Michael Wood. Pyramid pattern. (source: Pixabay) In "Learning to Love Data Science," Mike Barlow looks at how organizations are using data science to turn information into wisdom and business value. Download a collection of free chapters from "Learning to Love Data Science." We are swimming in data. Or possibly drowning in it. Organizations and individuals are generating and storing data at a phenomenal and ever-increasing rate. The volume and speed of data collection has given rise to a host of new technologies and new roles focused on dealing with this data, managing it, ... Read More

Feed: All - O'Reilly Media. Author: Jon Bruner. Framework (source: Pixabay) After several decades as an interest of academic computer scientists and specialized research labs, deep learning is appearing widely in real products. That transition has led to several exciting new deep-learning frameworks that tend to emphasize either rapid prototyping or efficient deployment at scale. For product developers looking to experiment with an idea and then reinforce and deploy it, a single framework that supports both ends of the process is helpful. Apache MXNet, an open-source deep learning framework first published in 2015, aims to achieve exactly that. I recently ... Read More

Feed: All - O'Reilly Media. Author: Manu Jeevan, Suresh Chelladurai. Road signs (source: Pixabay) The full Jupyter Notebook for this post can be accessed here. Although there are many deep learning frameworks, including TensorFlow, Keras, Torch, and Caffe, Apache MXNet in particular is gaining popularity due to its scalability across multiple GPUs. In this blog post, we'll tackle a computer vision problem: classifying German traffic signs using a convolutional neural network. The network takes a color photo containing a traffic sign image as input, and tries to identify the type of sign. The full notebook can be found here In ... Read More

Feed: Percona Database Performance Blog. Author: Borys Belinsky. Borys Belinsky  | August 16, 2017 |  Posted In: Events and Announcements, MongoDB, MySQL, Percona Monitoring and Management PREVIOUS POST Percona announces the release of Percona Monitoring and Management 1.2.1 on August 16, 2017. For install and upgrade instructions, see Deploying Percona Monitoring and Management. This hotfix release improves memory consumption. Changes in PMM Server We’ve introduced the following changes in PMM Server 1.2.1: Bug fixes PMM-1280: PMM server affected by nGinx CVE-2017-7529. An integer overflow exploit could result in a DOS (Denial of Service) for the affected nginx service with the max_ranges directive not set. This problem is solved by setting the set max_ranges directive to 1 in ... Read More