Tag: python

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. You will find here our selection of featured articles and resources posted since Monday.  Resources and Tutorials Fascinating New Results in the Theory of Randomness + Determining Sample Size in One Picture  Training for Context: The Importance of Word2Vec  March Madness, KenPom and Python/Pandas.  Visualizing Gender Discrepancies in Hi-Tech, Engineering, and Science  Bias Variance Trade Off  Articles Can we fix Smart City deployments using AI, Cloud and Video?  Is Robotic Process Automation (RPA) Really AI?  Using Data Science and Google Cloud to Win March Madness…  Summary from Gartner Data & ... Read More

Feed: Planet big data. Author: David Smith. A monthly roundup of news about Artificial Intelligence, Machine Learning and Data Science. This is an eclectic collection of interesting blog posts, software announcements and data applications from Microsoft and elsewhere that I've noted over the past month or so. Open Source AI, ML & Data Science News TensorFlow Privacy: a Python library for training machine learning models with differential privacy, for use with sensitive data to generate models that don't learn details about specific people. Tensorflow Federated, an open-source library for Federated Learning, enabling many participating clients to train shared ML models ... Read More

Feed: Planet MySQL; Author: Ahmed Bouchefra; In this tutorial, you'll learn how to easily add a complete authentication system to your Django application with login, logout and password change and reset functionalities. We'll be using Django with a MySQL database. We'll also be using django-crispy-forms and Bootstrap 4 for styling the application UI. Prerequisites Let's start with the prerequisites for this tutorial. In order to follow the tutorial step by step, you'll need a few requirements, such as: Basic knowledge of Python, Working knowledge of Django (django-admin.py and manage.py), A recent version of Python 3 installed on your system (the ... Read More

Feed: Planet big data. Author: Praveen Sripati. In this blog previously we explored the different ways of getting started with K8S using Play-With-Kubernetes, Minikube and finally easily installing K8S using a combination of VirtualBox and Vagrant.Now we will try to install Istio on top of the existing K8S setup and install a Microservices based application called Bookinfo on top of it. Once the setup of Istio is done, we should be able to explore the different features of Istio. The Bookinfo Application is a polygot application using Python, Java, Ruby and NodeJS. The various Microservices and how there interact is ... Read More

Feed: Microsoft Azure Blog. Author: Wolfgang Pauli. As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an integrated development environment (IDE), like Visual Studio Code (VSCode). Then, we hand off the resultant model to an app developer who integrates it into the larger application and deploys it. Often times, any bugs or performance issues go undiscovered until the application has already been deployed. The resulting friction between app developers and data scientists to identify and fix the root cause can be a slow, frustrating, and expensive process. As AI is ... Read More

Feed: Big Data Made Simple. Author: Isabella Ava. The use of technology is increasing day after day and so are the methods being advanced to reach the increasing demand. Today, we have come to a point where digital channels are becoming the norm, providing the brain with all the senses and limbs it needs. A typical Artificial Intelligence perceives its environment and takes actions that maximize its chance of successfully achieving its goalsArtificial Intelligence has the potential to vastly change the way that humans interact with the digital world and in the near future, its impact is likely to grow ... Read More

Feed: Microsoft Azure Blog. Author: Daniel Schneider. With ever-increasing data volume and latency requirements, GPUs have become an indispensable tool for doing machine learning (ML) at scale. This week, we are excited to announce two integrations that Microsoft and NVIDIA have built together to unlock industry-leading GPU acceleration for more developers and data scientists. Azure Machine Learning service is the first major cloud ML service to integrate RAPIDS, an open source software library from NVIDIA that allows traditional machine learning practitioners to easily accelerate their pipelines with NVIDIA GPUs ONNX Runtime has integrated the NVIDIA TensorRT acceleration library, enabling deep ... Read More

Feed: R-bloggers. Author: Ryan Sheehy. Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Skipper Seabold, a Director of Data Science at Civis Analytics. Hugo: Hi there, Skipper, and welcome to Data Framed. Skipper: Thanks. Happy to be here. Hugo: Great to have you on the show. I’m really excited to talk about all the things you’ve been thinking about with respect to the current, looming, future credibility crisis in data science, how we can think about what the science in data science actually is and how to put it in there in a more robust fashion. But ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: holly-vatter; For almost 20 years, Netezza technology has been at the forefront of advanced analytics, even as field of analytics has grown. New database architectures, vast increases in processing power, new tools and far more sources of data have combined to transform analytics. In this landscape of change, Netezza technology has evolved as well. After originating as a purely transactional database system, Netezza built the industry’s first true “data warehouse appliance,” rapidly increasing users’ ability to use different kinds of data while focusing on core strengths of simplicity, speed and low ... Read More

Feed: Cloudera Engineering Blog. Author: Grant Henke. Although the Kudu server is written in C++ for performance and efficiency, developers can write client applications in C++, Java, or Python. To make it easier for Java developers to create reliable client applications, we’ve added new utilities in Kudu 1.9.0 that allow you to write tests using a Kudu cluster without needing to build Kudu yourself, without any knowledge of C++, and without any complicated coordination around starting and stopping Kudu clusters for each test. This post describes how the new testing utilities work and how you can use them in your ... Read More