LSTM-Human-Activity-Recognition - Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
This pilot project collects problems and metrics/datasets from the AI research literature, and tracks progress on them. You can use this notebook to see how things are progressing in specific subfields or AI/ML as a whole, as a place to report new results you've obtained, as a place to look for problems that might benefit from having new datasets/metrics designed for them, or as a source to build on for data science projects. At EFF, we're ultimately most interested in how this data can influence our understanding of the likely implications of AI. To begin with, we're focused on gathering it.
ntel made several announcements at MWC 2015, including a new chipset for wireless connectivity (Wi-Fi) in mobile devices. This new chipset, the 8270, include in-chip support for indoor location positioning.
Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading. By exploring how it behaves in simple cases, we can learn to use it more effectively.
Office Lens macht Bilder von Whiteboards und Dokumenten lesbar, schneidet sie zu und verbessert sie. Mit Office Lens können Sie Bilder in PDF-, Word- und PowerPoint-Dateien konvertieren, und Sie können sogar Bilder in OneNote oder auf OneDrive speichern.
Learn Java 8 streams by example: functional programming with filter, map, flatMap, reduce, collect, lambdas, sequential and parallel streams are covered in-depth in this tutorial.
This website serves as a repository of links and information about probabilistic programming languages, including both academic research spanning theory, algorithms, modeling, and systems, as well as implementations, evaluations, and applications.
Torch is a scientific computing framework with wide support for machine learning algorithms. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.
Sentiment Analysis and stock sentiment analysis aims to identify the overall mood, feeling, and speculation of text. This is done using various big data analytics and text mining techniques such as natural language processing. Currently, the most popular use of sentiment analysis from us has been for stock sentiment analysis, though it can be used for political sentiment, product sentiment, and much more.
I am a data scientist, software engineer and architecture consultant passionate in solving big data analytics problem with distributed and parallel computing, Machine learning and Data mining, SaaS and Cloud computing.
NumbaPro compiles Python code for multicore processors, accelerators, and co-processors to take maximal
advantage of your computational hardware. It is a component of Anaconda Accelerate.
Take free online classes from 80+ top universities and organizations. Coursera is a social entrepreneurship company partnering with Stanford University, Yale University, Princeton University and others around the world to offer courses online for anyone to take, for free. We believe in connecting people to a great education so that anyone around the world can learn without limits.
JetBrains, creator of the best Java IDE - IntelliJ IDEA - is a technology-leading software development firm specializing in the creation of intelligent development tools.
J. Illig, A. Hotho, R. Jäschke, и G. Stumme. Knowledge Processing and Data Analysis, том 6581 из Lecture Notes in Computer Science, стр. 136--149. Berlin/Heidelberg, Springer, (2011)