Tag: Anaconda

Feed: Featured Blog Posts - Data Science Central. Author: Packt Publishing. R Deep Learning Essentials By Joshua F. Wiley Get everything you need to know to enter the world of deep learning when it comes to R with this book. Get started from the packages you need to have for your side, building models related to neural networks, prediction, and deep prediction, to fine tuning and optimizing everything you have. What you will learn: Set up the R package H2O to train deep learning models Understand the core concepts behind deep learning models Use Autoencoders to identify anomalous data or ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week. Announcements SQL + Notebooks + Charts. All in one platform. Mode Studio combines a SQL editor, Python & R notebooks, and a visualization builder in one platform. And it's free forever. Sign Up. Most organizations struggle to unlock the potential of data science to enhance decision-making and drive business value. Join Anaconda and guest speaker Forrester for a webinar on May 17 to learn best practices for scaling data ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. By Eric Schmidt, Developer Advocate, Google Cloud and Allen Jarvis, Technical Account Manager, Google Cloud As we shared in this morning’s blog post, the Final Four this weekend signifies more than just the culmination of March Madness 2018. It’s also our opportunity to share our months-long project building a workstream that can analyze more than 80 years of NCAA data. As Ohio University Athletic Director Jim Schaus recently told us, it’s one thing to look at data year after year, but it’s ... Read More

Feed: R-bloggers. Author: Deepanshu Bhalla. (This article was first published on ListenData, and kindly contributed to R-bloggers) This article explains how to call or run python from R. Both the tools have its own advantages and disadvantages. It’s always a good idea to use the best packages and functions from both the tools and combine it. In data science world, these tools have a good market share in terms of usage. R is mainly known for data analysis, statistical modeling and visualization. While python is popular for deep learning and natural language processing. In recent KDnuggets Analytics software survey poll, ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. By Sasha Bartashnik, Marketing Analytics Manager, zulily Editor’s note: Today’s post comes from Sasha Bartashnik, zulily’s Marketing Analytics Manager. zulily is a $1.5 billion fast-growing e-commerce company that connects families with special finds like clothing, home decor, and toys. Every day zulily launches more than 9,000 product styles and 100 new sales, converting thousands of customers and processing millions of user actions. As a company with a customer first mindset, we’re always seeking to better understand our customers and optimize their ... Read More

Feed: All - O'Reilly Media. Author: Suresh Rathnaraj, Manu Jeevan. A step-by-step tutorial to develop an RNN that predicts the probability of a word or character given the previous word or character.In our previous notebooks, we used a deep learning technique called convolution neural network (CNN) to classify text and images. Even though CNN is a powerful technique, it cannot learn temporal features from an input sequence such as audio and text. Moreover, CNN is designed to learn spatial features with a fixed-length convolution kernel. These types of neural networks are called feedforward neural networks . On the other hand, ... Read More

Feed: All - O'Reilly Media. Author: Suresh Rathnaraj, Manu Jeevan. A step-by-step tutorial to build generative models through generative adversarial networks (GANs) to generate a new image from existing images.In our previous notebooks, we used a deep learning technique called convolution neural network (CNN) to classify text and images. A CNN is an example of a discriminative model, which creates a decision boundary to classify a given input signal (data) as either being in or out of a classification, such as email spam. Deep learning models in recent times have been used to create even more powerful and useful models ... Read More

Feed: Microsoft Azure Blog. Author: JS Tan. The ability to run Spark on a GPU enabled cluster demonstrates a unique convergence of big data and high-performance computing (HPC) technologies. In the past several years, we've seen the GPU market explode as companies all over the world integrate AI and other HPC workflows into their businesses. Tensorflow, a framework designed to utilize GPUs for numerical computation and neural networks has skyrocketed into popularity, a testament to the rise of AI and consequently the demand for GPUs. Simultaneously, the need for big data and powerful data processing engines has never been greater ... Read More

Feed: All - O'Reilly Media. Author: Mateusz Dymczyk. Grandstand (source: Pixabay) In recent years, the term “anomaly detection” (also referred to as “outlier detection”) has started popping up more and more on the internet and in conference presentations. This is not a new topic by any means, though. Niche fields have been using it for a long time. Nowadays, though, due to advances in banking, auditing, the Internet of Things (IoT), etc., anomaly detection has become a fairly common task in a broad spectrum of domains. As with other tasks that have widespread applications, anomaly detection can be tackled using ... Read More

Feed: R-bloggers. Author: Mango Solutions. Owen Jones, Placement Student Prelude Maybe you’re looking for a change of scene. Maybe you’re looking for your first job. Maybe you’re stuck in conversation with a relative who you haven’t spoken to since last Christmas and who has astonishingly strong opinions on whether cells ought to be merged or not in Excel spreadsheets. The fact of the matter is that you have just encountered the term “data science” for the first time, and it sounds like it might be interesting but you don’t have a clue what it is. Something to do with computers? ... Read More