Tag: Deep Learning

Feed: Recent Announcements. Amazon SageMaker is a modular, fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. SageMaker includes hosted Jupyter notebooks that make it easy to explore and visualize your training data. To help select your machine learning (ML) algorithm, SageMaker comes with the most common ML algorithms that are pre-installed and performance-optimized. Training models is quick and easy, using a set of built-in high-performance algorithms, pre-built deep learning frameworks, or using your own framework. To make the training even faster and easier, SageMaker can automatically ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. Background Containerize your Apps with Docker and Kubernetes is an excellent free book from Gabriel N. Schenker You can download the whole book by registering HERE In this post, I explain the significance of deploying apps with Docker and Kubernetes and also some of my thinking at the University of Oxford artificial intelligence cloud and edge impleme... course. Oxford for AAA AI edge engineering “Ability to deploy AI and ML models in containers at the Edge” The book table of contents is Chapter 1: What Are Containers and Why ... Read More

Feed: SAS Blogs. Author: Kleber Wedemann. Cualquiera que haya visto películas de Iron Man sabe que su creador, Tony Stark, cuenta, y mucho, con la ayuda de Jarvis, un sistema avanzado de Inteligencia Artificial diseñado para administrar casi todo en su vida, especialmente en la lucha contra el crimen. ¿Alguna vez has imaginado que algo así se usa en la vida real con la ayuda de máquinas inteligentes? En realidad, hoy en día esto ya no es tan futurista y este tipo de tecnología aplicada a la policía se está acercando a nosotros. Hace dos años, alrededor de 167 equipos ... Read More

Feed: Planet big data. Author: David Smith. A mostly 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 StanfordNLP: a pure-Python package for grammatical analysis of sentences in over 50 languages. New projects added to the PyTorch ecosystem: Skorch (scikit-learn compatibility), botorch (Bayesian optimization), and many others. PyTorch-Transformers, a library of pretrained NLP models (BERT, GPT-2 and more) from HuggingFace. R 3.6.1 ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. I’ve written several times about how the “economies of learning” are more powerful than the “economies of scale”.  Through a continuous learning and refinement process, organizations can simultaneously drive down marginal costs while accelerating time-to-value and de-risking projects via digital asset re-use and refinement (see Figure 1). Figure 1: Exploiting the Digital Economies of Learning Think about how us lowly humans learn.  Whether trying to hit a golf ball or playing the piano or water skiing, we learn though the “feedback loop of failure”.  And the more real-time, immediate ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Damian Widera. I have been frequently asked about the tools for the Machine Learnign projects There are lot of them on the market so in my newest post you will find my view on them. I would like to start my first Machine Learning project. But I do not have tools. What should I do? What are the tools I could use? I will give you some hints and advices based on the toolbox I use. Of course there are more great tools but you should pick the ones you like ... Read More

Feed: R-bloggers. Author: Dominik Krzemiński. Many news reports scare us with machines taking over our jobs in the not too distant future. Common examples of take-over targets include professions like truck drivers, lawyers and accountants. In this article we will explore how far machines are from replacing us (R programmers) in writing Shiny code. Spoiler alert: you should not be worried about your obsolescence right now. You will see in a minute that we’re not quite there yet. I’m just hoping to show you in an entertaining way some easy applications of a simple model of a recurrent neural network ... Read More

Feed: Recent Announcements. Amazon Rekognition is a deep learning-based image and video analysis service that can identify objects, people, text, scenes, as well as support content moderation by detecting unsafe content. Starting today, you can detect content related to 'Violence' and 'Visually Disturbing" themes, such as blood, wounds, weapons, self-injury, corpses, and more. Further, Amazon Rekognition's ability to identify 'Explicit Nudity' and 'Suggestive' content has been improved through a 68% lower false positive rate and a 36% lower false negative rate (on average). Additionally, Amazon Rekognition now supports detection of new categories of adult content, such as unsafe anime or ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bhushan Patil. The term ‘data visualization’ was coined a couple of years ago. But storytelling finds its roots in the earliest of times. Using characters, events, event sequences, locations, time periods, emotions, numbers, etc., storytelling has always fascinated the humankind. Today, data visualization narrates events, causes & consequences graphically. These analytics consultants leverage the interactive dashboards which literally ‘talk’ to the users, to stop data from being mundane and monotonous. Let’s see what more is it capable of- Reversed Roles: From visualized data to data Today, data visualization tools pull in numerical ... Read More

Feed: All - O'Reilly Media. Author: Ben Lorica, Yishay Carmiel. Sound wave circle (source: Public Domain Pictures.net) Check out the “Text, Language, and Speech” sessions at the O'Reilly Artificial Intelligence conference in London, 14-17 October 2019. Early price ends 6 September. As companies begin to explore AI technologies, three areas in particular are garnering a lot of attention: computer vision, natural language applications, and speech technologies. A recent report from the World Intellectual Patent Office (WIPO) found that together these three areas accounted for a majority of patents related to AI: computer vision (49% of all patents), natural language processing ... Read More