[unable to retrieve full-text content]Come to the land of chocolate and Data Science where the local tech scene is booming and the jobs are a plenty. Learn the most important concepts from top instructors by doing and through projects. Use code KDNUGGETS to save.
Original Post: Data Science Bootcamp in Zurich, Switzerland, January 15 – April 6, 2018
[unable to retrieve full-text content]Instead of arguing about Python vs R I will examine the best practices of integrating both languages in one data science project.
Original Post: Best practices of orchestrating Python and R code in ML projects
[unable to retrieve full-text content]The relevance of a full stack developer will not be enough in the changing scenario of things. In the next two years, full stack will not be full stack without AI skills.
Original Post: How I started with learning AI in the last 2 months
A new member has just joined the family of Data Science Virtual Machines on Azure: The Deep Learning Virtual Machine. Like other DSVMs in the family, the Deep Learning VM is a pre-configured environment with all the tools you need for data science and AI development pre-installed. The Deep Learning VM is designed specifically for GPU-enabled instances, and comes with a complete suite of deep learning frameworks including Tensorflow, PyTorch, MXNet, Caffe2 and CNTK. It also comes witth example scripts and data sets to get you started on deep learning and AI problems, including: The DLVM along with all the DSVMs also provides a complete suite of data science tools including R, Python, Spark, and much more: There have also been some updates and additions to the tools provided in the entire DSVM family, including: All Data Science Virtual Machines,…
Original Post: Introducing the Deep Learning Virtual Machine on Azure
[unable to retrieve full-text content]At the end of this post, you’ll be able to implement a neural network to identify handwritten digits using the MNIST dataset and have a rough time idea about how to build your own neural networks.
Original Post: Neural Networks: Innumerable Architectures, One Fundamental Idea
[unable to retrieve full-text content]Talks, tutorials and playlists – you could not get a more gentle introduction to Machine Learning (ML) in Finance. Got a quick 4 minutes or ready to study for hours on end? These videos cover all skill levels and time constraints!
Original Post: Top 10 Videos on Machine Learning in Finance
[unable to retrieve full-text content]This tutorial will lay a solid foundation to your understanding of Tensorflow, the leading Deep Learning platform. The second part shows how to get started, install, and build a small test case.
Original Post: Tensorflow Tutorial, Part 2 – Getting Started
[unable to retrieve full-text content]Keras is a Python deep learning library for Theano and TensorFlow. The package is easy to use and powerful, as it provides users with a high-level neural networks API to develop and evaluate deep learning models. With this library, you’ll be making neural network models in no time!
Original Post: Keras Cheat Sheet: Deep Learning in Python
It’s been a big day for the team here at Microsoft, with a flurry of announcements from the Ignite conference in Orlando. We’ll provide more in-depth details in the coming days and weeks, but for now here’s a brief roundup of the news related to data science: Microsoft ML Server 9.2 is now available. This is the new name for what used to be called Microsoft R Server, and now also includes support for operationalizing the Python language as well as R. This 2-minute video explains how to deploy models with ML Server (and with this release, real-time scoring is now also supported Linux as well). Microsoft R Client 3.4.1, featuring R 3.4.1, was also released today and provides desktop capabilities for R developers with the ability to deploy computations to a production ML Server. The next generation of Azure…
Original Post: News Roundup from Microsoft Ignite
[unable to retrieve full-text content]Get an exclusive preview of “Spark: The Definitive Guide” from Databricks! Learn how Spark runs on a cluster, see examples in SQL, Python and Scala, Learn about Structured Streaming and Machine Learning and more.
Original Post: Spark – The Definitive Guide – exclusive preview