Tag: Deep Learning

Feed: AWS Public Sector Blog. Author: Andreas Jakl. Guest post by Andreas Jakl Data is at the heart of healthcare, but our wellbeing is complex. It is a challenge to find the right approach when analyzing or visualizing data. Technology like text-to-speech, augmented reality (AR), and deep learning can help us better understand and explain health data. By designing solutions in the cloud, we can leverage Amazon Web Services (AWS) to launch and scale helpful tools as needed, paying for only what we use while keeping data secure. AR and neural speech for personalized health education Imagine you are waiting ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Mark McQuade. By Mark McQuade, Practice Manager, Data Science & Engineering – RackspaceBy Khobaib Zaamout, Data Scientist – Rackspace Artificial intelligence (AI) and machine learning (ML) have become widely recognized for their unique capabilities in helping companies utilize data. With AI and ML, organizations can leverage data for a wide range of use cases, including generating insights that power product and content recommendations and financial forecasting that aid in strategic business planning and growth. The prowess of these technologies in making sense of data has become a vital asset during the COVID-19 pandemic ... Read More

Feed: R-bloggers. Author: Tinniam V Ganesh. Every time I think that I have my R packages or Shiny apps all wrapped up, I find another idea trots up and knocks at my door. Since I intend to keep GooglyPlusPlus current with the latest data, I decided to include the ranking functions in my Shiny app GooglyPlusPlus. Fortunately, since GooglyPlusPlus is based on my R package ‘yorkr‘ (see Introducing cricket package yorkr: Beaten by sheer pace!), I could make the necessary changes to the ranking functions in the package, so that it could be incorporated into my latest Shiny app GooglyPlusPlus2021!! ... Read More

Feed: R-bloggers. Author: Learning Machines. The workhorse of Machine Learning is Gradient Descent. If you want to understand how and why it works and, along the way, want to learn how to plot and animate 3D-functions in R read on! Gradient Descent is a mathematical algorithm to optimize functions, i.e. finding their minima or maxima. In Machine Learning it is used to minimize the cost function of many learning algorithms, e.g. artificial neural networks a.k.a. deep learning. The cost function simply is the function that measures how good a set of predictions is compared to the actual values (e.g. in ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Lokesh. Acing an interview in the field of machine learning could get difficult at times. The field is no doubt vast and ever-expanding and on top of it, the potential topics which could form a part of interview questions are not limited. The scope of sub-topics required as a skill set could vary for different recruiters/interviewers. But having said that there is some respite to this as we list down some of the most widely asks questions in the area. The Machine Learning interview questions list prepared is not exhaustive is ... Read More

Feed: R-bloggers. Author: R on Data Science Guts. [This article was first published on R on Data Science Guts, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Explainable Artificial Intelligence, or XAI for short, is a set of tools that helps us understand and interpret complicated “black box” machine and deep learning models and their predictions. In my previous post I showed you a sneak peek of my newest package called sauron, which ... Read More

Feed: Radar. Author: Mike Loukides. The last month of the old year showed a lot of activity on the border of AI and biology. The advances in protein folding with deep learning are a huge breakthrough that could revolutionize drug design. It’s important to remember the role AI had in developing the vaccine for COVID—and also worth remembering that we still don’t have an anti-viral. And while I didn’t list them, the other big trend has been all the lawyers lining up to take shots at Google, Facebook, et al. Some of these are political posturing; others address real issues ... Read More

Feed: SAS Blogs. Author: Sylvie Faucillon. Jamais l’industrie pharmaceutique et le secteur de la santé n’ont été l’objet d’autant d’attention de la part des professionnels certes, mais aussi des médias, des non-professionnels, malades ou non malades, internautes. Le monde entier à les yeux rivés sur chaque post, publication, innovation, news, fakes news. De la façon de produire un vaccin, de l’usage controversé d’un médicament pour sauver des vies, d’un protocole pour ralentir la propagation du virus, tout le monde semble avoir un avis et veut le faire savoir. A côté de ces débats passionnés et passionnants, une transformation s’opère pour ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: AiSara. Hyperparameter tuning is considered time-consuming and computationally expensive as it requires testing numerous combinations before attaining the optimum values. Using the available tuning libraries do not solve these issues as many of them randomly investigate the solution space while others are built for general use without adequately understand the hidden features in deep learning optimization. In this piece of writing, I am glad to introduce the state of art aisaratuners library which is the first AI-base tuning library tailored for Keras hyperparameter optimization. Functionality for sklearn and Pytorch will be ... Read More

Feed: Neo4j Graph Database Platform. Author: Enzo. 2020 provided to be a year like no other – wouldn’t you agree? Nothing explains this more than supply chain woes like no toilet paper in stores! (There’s even a graph example for that!) Despite the many unique challenges this year brought, graph technology continued to make way in various industries, from COVID-19 contact tracing to cracking industrial-scale fraud rings in banking.Let’s reflect on the many exciting things that did happen to make this year both impactful and memorable. Big News for Neo4jNeo4j Named a Leader in Graph Data Platforms by Independent Research ... Read More