Tag: Classification

Feed: Planet Python. Author: . This is the fifth post in a series of posts on how to build a Data Science Portfolio. If you like this and want to know when the next post in the series is released, you can subscribe at the bottom of the page.If you’ve ever worked on a personal data science project, you’ve probably spent a lot of time browsing the internet looking for interesting datasets to analyze. It can be fun to sift through dozens of datasets to find the perfect one, but it can also be frustrating to download and import several ... 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 Building an end-end search engine Associative Data Modeling Demystified - Part2 Don’t run afoul of Scoping Rules in R! How to Start Learning Deep Learning Book: Python Machine Learning Book: Efficient R Programming Scraping Ice and Fire + Urban Sound Classification using Neural Network Measuring Dependence of Variables with Confidence Intervals Machine Learning: The Bigger Picture ... Read More

Feed: SAS BlogsRSS – SAS Blogs. Author: Elaine Kearney. The internet of medical things, spurred by the advent of wearable sensors, has dramatic consequences in industry, healthcare, and analytics, just as the advent of the internet of things and analytics has consequences in education. When I began my internship at SAS in May, I knew little about the internet of things, wearable sensors that make up the internet of medical things, and analytics, but I knew I wanted to use data for good, and I knew how to program. This past summer I used data from cell phones attached at the ... Read More

Feed: Featured Blog Posts - AnalyticBridge. Author: Vivek Kalyanarangan. "Information is the oil of the 21st century, and analytics is the combustion engine" Peter Sondergaard, SVP, Gartner Research In analytics, we retrieve information from various data sources; it can be structured or unstructured. The biggest challenge here is to retrieve information from unstructured data mainly texts. Here machine learning comes into the picture to overcome this challenge. Different algorithms have been designed in different platforms but here we will discuss one technique that can be applied in python. The process can be explained better by an example. When we have certain ... Read More

Feed: SAS BlogsRSS – SAS Blogs. Author: Namita Lokare. Time series machine learning techniques show great promise for the analysis of health care wearable data. As our busy lifestyles render continuous monitoring more and more essential, the need to analyze data to find correlations between these data streams becomes even more important, because they can provide important cues to people. These cues could be as simple as reminding a person to take a walk or move around, which is already being done by a lot of wearables available today, such as Fitbit, Garmin, Nike, etc. However, along with monitoring the current ... 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 Analyzing International Currency Network with DeDaL + Comparing classification algorithms: pluses and minuses 80+ Free Data Science Books 25 Java Machine Learning Tools & Libraries Essentials of Machine Learning Algorithms (with Python and R Codes) 8 Great Blogs Posted in the last 12 Months What Can Baby Names Tell Us About Our Narcissism Epidemic? Featured Articles ... Read More

Feed: Featured Posts - Hadoop360. Author: Andrei Macsin. Guest blog post by Laetitia Van Cauwenberge Very interesting compilation published here, with a strong machine learning flavor (maybe machine learning book authors - usually academics - are more prone to making their books available for free). Many are O'Reilly books freely available. Here we display those most relevant to data science. I haven't checked all the sources, but they seem legit. If you find some issue, let us know in the comment section below. Note that at DSC, we also have our free books: There are several sections in the listing in ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Emmanuelle Rieuf. This article about java machine learning tools & libraries comes from BDAN Big Data Analytics News. BDAN's site consists information on business trends, big data use cases, big data news to help you learn what Big Data is and how it can benefit organizations of all sizes. Here is a list of 10 Java Machine learning tools & libraries: Weka has a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Lee Baker. Did you have a good, relaxing break over the summer? Are you refreshed and re-energised, looking forward to a new start, a new you and brushing up on your data analysis skills? If so, I’ve thrown together a collection of a few excellent (and free!) statistics eBooks for your Kindle to sharpen up your stats while you’re on the long commute to work. Just try not to read them while driving! These books require different levels of existing knowledge, and while some are for early-stage data scientists others are ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Wednesday, August 31, 2016 Posted by Kaz Sato, Developer Advocate, Google Cloud Platform It’s not hyperbole to say that use cases for machine learning and deep learning are only limited by our imaginations. About one year ago, a former embedded systems designer from the Japanese automobile industry named Makoto Koike started helping out at his parents’ cucumber farm, and was amazed by the amount of work it takes to sort cucumbers by size, ... Read More