Tag: TensorFlow

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Exploring TensorFlow samples in Google Cloud Datalab Wednesday, October 18, 2017 Posted by Bradley Jiang, Software Engineer. Many people think designing deep learning models and training neural networks is complex and time-consuming, taking days or even weeks of work. But it doesn’t have to be. There are a number of tools you can use right now to help you quickly develop and iterate on machine learning models. One such tool is Cloud Datalab. Although ... Read More

Feed: What's New. The AWS Deep Learning AMI, which lets you spin up a complete deep learning environment on AWS in a single click, now includes PyTorch, Keras 1.2 and 2.0 support, along with popular machine learning frameworks such as TensorFlow, Caffe2 and Apache MXNet. Using PyTorch for fast prototyping The AMI now includes PyTorch 0.2.0, allowing developers to create dynamic neural networks in Python, a good fit for dynamic inputs such as text and time series. Developers can get started quickly using these beginner and advanced tutorials, including setting up distributed training with PyTorch. Improved Keras support The AMI ... Read More

Feed: All - O'Reilly Media. Author: Jay Kreps. Hopscotch (source: Pixabay) To learn more about cutting-edge data science tools like Apache Kafka, check out the Strata Data Conference in Singapore, Dec. 4-7, 2017—early price ends October 20. Machine learning has become mainstream, and suddenly businesses everywhere are looking to build systems that use it to optimize aspects of their product, processes or customer experience. The cartoon version of machine learning sounds quite easy: you feed in training data made up of examples of good and bad outcomes, and the computer automatically learns from these and spits out a model that ... Read More

Feed: All - O'Reilly Media. Author: Aditya Parameswaran. Gears (source: Pixabay) Check out “How Pirelli built a data science team from scratch,” a case study available on Safari, to learn more about how data science can enable business transformation. As practitioners who build data science tools, we seem to have a rather myopic obsession with the challenges faced by the Googles, Amazons, and Facebooks of the world—companies with massive and mature data analytics ecosystems, supported by experienced systems engineers, and used by data scientists who are capable programmers. However, these companies represent a tiny fraction of the “big data” universe ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. In this post, I explore strategies to switch to Data Science mid-career. This switch is not easy, but based on the experience of many who I have taught/mentored/recruited – it is possible. Most people consider PhD/MooC etc for switching their career to Data Science. But here, I will explore some non-traditional/unorthodox ways of switching to Data Science. I draw upon my personal experience as a teacher, data scientist and in recruiting data scientists – especially in creating personalized AI / Data Science courses So, here are my insights 1)    ... Read More

Feed: R-bloggers. Author: Nicole Radziwill. This weekend, I decided it was time: I was going to update my Python environment and get Keras and Tensorflow installed so I could start doing tutorials (particularly for deep learning) using R. Although I used to be a systems administrator (about 20 years ago), I don’t do much installing or configuring so I guess that’s why I’ve put this task off for so long. And it wasn’t unwarranted: it took me the whole weekend to get the install working. Here are the steps I used to get things running on Windows 10, leveraging clues ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week. Announcements Nine out of ten employers say that a credential would be beneficial when seeking to hire specialists in the predictive analytics field. The Certified Specialist in Predictive Analytics (CSPA) credential offered by The CAS Institute will allow you to stand out and accelerate your career by demonstrating your mastery of analytical skills. Learn more at TheCASInstitute.org. Join Intel and ActiveState as they discuss how to ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology My summer project: a rock-paper-scissors machine built on TensorFlow Thursday, October 12, 2017 Posted by Kaz Sato, Developer Advocate, Google Cloud. After looking for a fun project to do with my son this past summer, I decided to build a rock-paper-scissors machine powered by TensorFlow. Rock-paper-scissors machine, powered by TensorFlow As in the above video, the system uses the glove’s sensors to detect my son’s hand gesture, then selects the appropriate hand pose: ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vaishnavi Agrawal. Did you know that Python's usage in data science applications rose 51% in 2015? Did you know that youtube is heavily built on Python language consisting of over a million lines of code? Tech visionaries are predicting that it might soon overtake R and may well be the most popular language in data science industry. R is a language dedicated to statistics and data science but Python is a general purpose programming language. Inspite of this fact it is widely opted in data science environment. Recently, in tech forums ... Read More

Feed: All - O'Reilly Media. Author: Amit Vij, Nima Negahban. Convex Lens- Converge (source: Tess Watson on Flickr) Download the free O’Reilly ebook “Introduction to GPUs for Data Analytics” to learn more about how GPUs make it possible to converge big data, AI and business intelligence. Cognitive computing, which seeks to simulate human thought and reasoning in real time, could be considered the ultimate goal of business intelligence. With cognitive applications in health care, retail, financial services, manufacturing, and transportation, artificial intelligence is already transforming a variety of industries. Many of today’s applications in AI would not be practical—or even ... Read More