Tag: Deep Learning

Feed: Latest imported feed items on Analytics Matters. In the second instalment of this blog, we introduced machine learning as a subfield of artificial intelligence (AI) that is concerned with methods and algorithms that allow machines to improve themselves and to learn from the past. Machine learning is often concerned with making so-called “supervised predictions,” or learning from a training set of historical data where objects or outcomes are known and are labelled. Once trained, our machine or “intelligent agent” is enabled to differentiate between, say, a cat and a mat. The currently much-hyped “deep learning” is shorthand for the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Dr. Olav Laudy. “We want to predict -X-.” Fill in any desirable topic on the location of the X and you have the formulation of a use-case in the way many companies today think about analytics use-cases. In order of increasing probability of success of such use-cases: X equals the winning lottery number, the future price of crude oil, windows falling from high-rise buildings (not kidding; actual use-case) and finally, a customer buying a mortgage. This post deals with understanding the importance of the use-case identification. The word ‘identification’ here hints ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. A Practical Implementation Guide to Predictive Data Analytics Using Python Covers basic to advanced topics in an easy step-oriented manner Concise on theory, strong focus on practical and hands-on approach Explores advanced topics, such as Hyper-parameter tuning, deep natural language processing, neural network and deep learning Describes state-of-art best practices for model tuning for better model accuracy About The Book: This book is your practical guide towards novice to master in machine learning with Python in six steps. The six steps path has been designed based on the “Six ... 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. Featured Resources and Technical Contributions Deep Learning with TensorFlow in Python + Using Uninformed & Informed Search Algorithms - to Solve 8-Puzzle (n-Puzzle) in Python  Python: Implementing a k-means algorithm with sklearn  Image and Video Processing: Motion Estimation, Image Restoration  Semi-Supervised Classification using Markov Chain and Random Walk  Data Modelling Topologies of a Graph Database  The 10 Algorithms Machine Learning Engineers Need to Know  ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Tom Hastain. DNV GL has an impressive 153 years of history, dating back to 1864 when the company inspected and evaluated Norwegian merchant vessels. Fast-forward to today, DNV GL now operates in over 100 countries and provides services for several industries including maritime, renewable energy, oil & gas, electrification, food & beverage, and healthcare. According to Rene Castberg, Senior Research at DNV GL, “Data has always been important for our company in DNV GL, [it’s] something we’ve relied on, so from the earliest beginning…nowadays we are moving over to newer technology, [such as] digital ... Read More

Feed: Planet big data. Author: David Smith. The Windows edition of the Data Science Virtual Machine (DSVM), the all-in-one virtual machine image with a wide-collection of open-source and Microsoft data science tools, has been updated to the Windows Server 2016 platform. This update brings built-in support for Docker containers and GPU-based deep learning.  GPU-based Deep Learning. While prior editions of the DSVM could access GPU-based capabilities by installing additional components, everything is now configured and ready at launch. The DSVM now includes GPU-enabled builds of popular deep learning frameworks including CNTK, Tensorflow, and MXNET. It also includes Microsoft R Server 9.1, and ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Saumitra Buragohain. This blog has contributions from: Vinod Vavilapalli, Wangda Tan, Gour  Saha, Priyanka Nagwekar, Sunil Govindan You have probably wondered what makes a self-driving car intelligent to process the live camera feeds, navigate the busy streets and distinguish objects on the streets, such as cars, trucks, traffic lights or pedestrians? A self-driving car is a perfect example of a modern data application that combines big data with smart algorithms. To understand the underpinnings of such a modern data app, we will start with a recap of our blog series titled “Data Lake 3.0” ... Read More

Feed: Microsoft Azure Blog. Author: Fidan Boylu Uz. Deep learning has proven to show superior performance in certain areas such as object recognition and image classification. It has also gained popularity in other domains such as finance where time-series data plays an important role. Similarly, in predictive maintenance, the data is collected over time to monitor the state of an asset with the goal of finding patterns to predict failures which can benefit from certain deep learning algorithms. Among the deep learning networks, Long Short Term Memory (LSTM) networks are especially appealing to the predictive maintenance domain since they are ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: publicsector. From computer vision systems for autonomous driving to FDA-approved medical imaging, artificial intelligence (AI) is driving public sector innovation. Governments, defense agencies, and other public sector organizations are adding AI into their platform, solutions, and products to perform tasks that usually require human-level intelligence, such as visual perception, speech recognition, decision making, or translation.In order to change the way services are delivered to the blind or to inspire the next generation of space explorers, organizations need to overcome hurdles related to the scale of data, scale of compute, and variety of ... Read More

Feed: Planet big data. Author: Irina Peregud. 20 June 2017Author Irina PeregudData scientist remains the “hottest” job of the XXI century. Data Scientists are in high demand in every industry while candidates are in short supply and it’s getting harder to attract the rare talent and make them stay. In the Glassdoor report on the most popular vacancies in the USA, Data Scientist was ranked #1 and was named “the best job in America”!Offering data science as a service, and developing its AI-driven products, InData Labs like no other company feels that there is a shortage of experienced professionals in ... Read More