Posts tagged Classification
In machine learning, a type of problem that seeks to place (classify) a data sample into a single category or “class.” Often, classification problems are modeled to choose one category (class) out of two. These are binary classification problems. Problems where more than two categories (classes) are available are called “multiclass classification” problems. See Also binary classification model.
Tag: Classification
Using Data to Answer the Key Challenge to Enterprise Reinforcement Learning
Feed: Teradata Blog. For enterprises with the right data, right approach, and right platform, applying Deep Reinforcement Learning to real world problems has the potential to revolutionize how they tackle many of their core business challenges. This cutting-edge technology for optimizing sequential decision-making is at the brink of showing its full value in solving real world problems. Use cases are many, including supply and revenue management, drug discovery, manufacturing, marketing, and financial crimes. At Teradata, we thrive on finding how innovative technologies can help our customers achieve pervasive data intelligence with all of their data, all of the time.Figure 1 ... Read More
Top 20 Python libraries for Data Science
Feed: Big Data Made Simple. Author: Danish Wadhwa. Python language is already assisting developers in creating standalone, PC, games, mobile and other enterprise applications. Python with more than 137,000 libraries helps in various ways. In this data-centric world, where consumers demand relevant information in their buying journey, companies also require data scientists to avail valuable insights by processing massive data sets.This information guides them in critical decision making, streamlining business operations and thousands of other tasks which require valuable information to accomplish efficiently. Thus, with this increased demand for data scientists, beginners and professionals are looking for resources to learn ... Read More
Doctors are from Venus, Data Scientists from Mars – or Why AI/ML is Moving so Slowly in Healthcare
Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary: The world of healthcare may look like the most fertile field for AI/ML apps but in practice it’s fraught with barriers. These range from cultural differences, to the failure of developers to really understand the environment they are trying to enhance, to regulatory and logical Catch 22s that work against adoption. Part 3 of 3. According to data compiled by research firm Startup Health funding for digital healthcare totaled $14.6 billion in 2018. The world of healthcare may look like the most fertile field for AI/ML apps but ... Read More
Building credit scorecards using statistical methods and business logic
Feed: SAS Blogs. Author: Andre Violante. Whether you’re applying for your first credit card or shopping for a second home – or anywhere in between – you’ll probably encounter an application process. As part of that process, banks and other lenders use a scorecard to determine your likelihood to pay off that loan. Naturally, this means credit scoring is an important data science topic for banks and any business that works with the banking industry. Since I have previous experience with customer analytics, but not specifically with financial risk, I’ve been learning how to develop a credit scorecard, and I ... Read More
New Similarity Methods for Unsupervised Machine Learning
Feed: Featured Blog Posts - Data Science Central. Author: Ramon Serrallonga. 1. Introduction Data science is changing the rules of the game for decision making. Artificial intelligence is living its golden years where abundance of data, cheap computing capacity, and devoted talent depicts an unstoppable intelligence assisted life for humans. While it is common to hear about AI advice on health or financial investments, the same in business strategy is not so common. Maybe it is just a matter of time that AI learns how to handle data to support decision-making on business strategy, but it could also be that ... Read More
ROC Curves
Feed: R-bloggers. Author: R Views. I have been thinking about writing a short post on R resources for working with (ROC) curves, but first I thought it would be nice to review the basics. In contrast to the usual (usual for data scientists anyway) machine learning point of view, I’ll frame the topic closer to its historical origins as a portrait of practical decision theory. ROC curves were invented during WWII to help radar operators decide whether the signal they were getting indicated the presence of an enemy aircraft or was just noise. (O’Hara et al. specifically refer to the ... Read More
Microsoft Power Series at the 2019 Power Summit Europe
Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . In addition to the 20 tracks lead by the community, technical experts and Industry luminaries presenting at the upcoming Power Platform Summit in Amsterdam, the Microsoft Team will be there in full force presenting the Microsoft Power Series track– over 15 hours of deep dive and hands on content. These sessions are included in both the Power Platform Summit and Dynamics User Group Summit Europe conference passes and give you the unique opportunity to learn from the source and gain a view into the future of these products. If you are not familiar Power Platform ... Read More
CES 2019: Searching for AI and Robotics Innovation
Feed: Feed | Tractica. Author: . The Consumer Electronics Show (CES) in Las Vegas is always a good barometer for measuring how the latest technologies are being infused into real consumer products and observing some of the innovations coming down the pipeline. The focus of CES has shifted in the past few years with themes like artificial intelligence (AI), the Internet of Things (IoT), virtual reality (VR)/augmented reality (AR), wearables, and autonomous cars proliferating. This year, some themes like AI, IoT, and smart home were much more pronounced, while others like VR and wearables seemed hushed by comparison. CES 2019 ... Read More
Automating Your AWS Landing Zone Deployment to Speed Up Large-Scale Migrations
Feed: AWS Partner Network (APN) Blog. Author: Jim Huang. By Jim Huang, Migration Partner Solutions Architect at AWSBy Phil Christensen, Sr. Solutions Architect at LogicworksBefore you deploy your applications on Amazon Web Services (AWS), you need to design and configure a base environment that lays out the account structure, security rules, default network settings, and other foundational services. Such a base environment is called a landing zone, and this is the best practice recommended for customer needing an environment to support multiple teams or projects. In this post, we’ll describe best practices and introduce the AWS Landing Zone solution that ... Read More
Preview of Foresight (Winter 2019 issue)
Feed: SAS Blogs. Author: Mike Gilliland. This issue's preview is provided by Ralph Culver, Foresight's manuscript editor. Preview of Winter 2019 issue of Foresight The Winter 2019 issue of Foresight—number 52—kicks off with Simon Clarke’s enthusiastic review of The Little Illustrated) Book of Operational Forecasting by Dr. Steve Morlidge. Every year brings us new, inexperienced business-operations forecasters seeking solid practical advice to help ground them and set them off on a productive career path. As far as Simon is concerned, this book fits the bill in almost every respect. Morlidge’s objective, Simon notes, is a simple one: “help practitioners stop ... Read More
Recent Comments