Tag: python

Feed: Featured Blog Posts - Data Science Central. Author: Robert R. Tucci. I am pleased to announce that my quantum simulator Qubiter (available at GitHub, BSD license) now has a native TensorFlow Backend-Simulator (see its class `SEO_simulator_tf`, the `tf` stands for TensorFlow). This complements Qubiter's original numpy simulator (contained in its class `SEO_simulator`). A small step for Mankind, a giant leap for me! Hip Hip Hurray! This means that Qubiter can now calculate the evolution of a state vector using CPU, GPU or TPU. Plus it can do back-propagation on a quantum circuit. Here is a jupyter notebook that I ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: karan-sachdeva; Companies are entering “chapter two” of their digital transformation. The next chapter is all about moving from experimentation to true transformation. It’s about gaining speed and scale. We are helping businesses activate data as a strategic asset, with desire to maximize the impact of AI as core to the business strategy.To do so, businesses must explore AI and become comfortable with data science embedded into business processes. Early open source data science and AI proofs-of-concept are beginning to mature. Businesses leaders are starting to seek help on how ... Read More

Feed: R-bloggers. Author: hrbrmstr. I caught a re-tweet of this tweet by @harry_stevens: THREAD: I wrote a post on @observablehq about a map I made today. It shows a typical day in the life of a graphics journalist: You never know what problems you'll have to solve on deadline! https://t.co/yRhW1wbLxN #d3js #dataviz 1/7 pic.twitter.com/7N6mmK0nz3 — Harry Stevens (@Harry_Stevens) May 16, 2019 Harry’s thread and Observable post are great on their own and both show power and utility of Observable javascript notebooks. However, the re-tweet (which I’m not posting because it’s daft) took a swipe at both Python & R. Now, ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: jennifer-clemente; In just a short year and a half she’s helped build a demo to assist physicians in India to prioritize patients that are at higher risk for cardiovascular events and detect model. For Nedbank, she was part of two use cases to help their data science team optimize the bank’s ATM maintenance processes and predict fraudulent banking activity. Her first client engagement was building a model to help healthcare providers at Geisinger health identify high-risk sepsis patients.Learn more about Brittany Bogle in our new series profiling the technical ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Editor’s Note: This presentation was given by Frederick Kagan and Sébastien Heymann at GraphConnect New York in October 2018.Presentation SummaryThe American Enterprise Institute (AEI) is an independently-funded nonprofit that uses unclassified information to understand ongoing conflicts in the Middle East, Africa and Europe to produce forecasts and policy recommendations.Like the intelligence community, and almost any large-scale business analysis team, the nonprofit had to solve problem of munging all their data together into a single interface. They found their solution with the combined power of Neo4j and Linkurious, even though they encountered some ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Packt Publishing. PyTorch is known for being a clean framework, and hence it was a challenging task to achieve the production capability and flexibility needed for research. I think that the major hurdle for pushing production support to the core was going out of Python's realm and moving the PyTorch model to a faster, thread-safe language that has multithreading capability. But then, that violated the Python-first principle that PyTorch had up to that point.   Serving the PyTorch model in Python itself is the easiest way of serving your model in ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . We have an exciting release this month. On top of incremental improvements for several of our recent released features, such as the key influencers visual and our new filter pane, we also have a new performance analyzer pane. This new pane lets you get a behind the scenes view of what’s happening when your report is loading, which can help you optimize your report and improve your end user’s experience. Here’s the complete list of May updates: Reporting Analytics Modeling Visualizations Data connectivity Other For a summary of the ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Microsoft Business Applications Summit June 10 – 11  in Atlanta, Georgia is almost here and you have one more reason to attend year…A chance to meet the community super stars.  We know, one of the primary reasons people go to conferences is to meet the presenters.  And at the Microsoft Business Applications Summit (MBAS), we have an entire “Ask the Experts” experience to make this easy to meet Microsoft full time employees…but what about community folks like MVPs, Authors and Industry experts? We have created a community lounge and will be scheduling a ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: roger-rea; IBM Streams was first available on May 15, 2009, exactly 10 years ago today. Happy anniversary!From System S to Streams IBM Streams evolved from a five-year collaboration between IBM Research and the U.S. government. The original goals were to: Create a system to ingest unprecedented volumes of data Analyze data arriving at extremely high velocity Handle a variety of data, both structured and unstructured. You can glean some Streams history from the IBM Research pages for System S project. The “S” was short for Streams, to play off ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. By Ajit Jaokar and Dan Howarth. With contributions from Ayse Mutlu. Exclusively for Data Science Central members, with free access. You can download this book (PDF) here.  This tutorial began as a series of weekend workshops created by Ajit Jaokar and Dan Howarth. The idea was to work with a specific (longish) program such that we explore as much of it as possible in one weekend. This book is an attempt to take this idea online. The best way to use this book is to work with the Python code as ... Read More