Author: Data Science Central

Feed: Featured Blog Posts - Data Science Central. Author: Jeefri A. Moka. What is a commodity? Commodity are basic raw materials with certain standards that are used with other goods, commodity are often the basis of the production of various finished goods or services and then referred to as commodities (something made based on commodity). Some examples of commodity are seen from their types: metal (gold, silver, platinum, and copper); energy (crude oil and natural gas); livestock and agriculture (beef, mutton, rice, wheat, corn, soybeans, chocolate, coffee, sugar); and others. Data like a commodity There are several related terms about ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: saurabh ajmera. Image by Arek Socha from Pixabay Profit analysis is an integral part of analysis drills, which are conducted at regular frequency. Both finance and marketing departments are equally engaged in this activity — though both have a different approach to it. Variance analysis is a powerful tool, being extensively used by finance departments — but even for marketing, it holds no lesser value. With a traditional contributor analysis, already the executive presentations of marketing look a plenty, but addition of variance analysis will definitely be favoring. As the name suggests, this analysis ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Alex Castrounis. Download chapter 1 for FREE from my book, AI for People and Business: A Framework for Better Human Experiences and Business Success, published by O'Reilly Media. You can also grab a copy on Amazon. Thanks and I hope you enjoy!  Alex Castrounis Book Testimonials “A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization.” - Dan Park, GM & Director, Uber “Alex Castrounis has been at the ... Read More

Feed: Featured Blog Posts - AnalyticBridge. Author: Elise Devaux. In a general sense, synthetic data is information that is artificially generated, as opposed to collected from the real-world. But it’s important to note that synthetic data is used for a variety of purposes. As a result, there are several types of synthetic data with different properties depending on the use-cases. For instance, one scenario in which companies use synthetic data is the training of AI/ML models. Real-world data is sometimes expensive to collect, or simply hard to come by. If you take for instance self-driving vehicles, the development of software for autonomous ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Bias in modeling has long been a public concern that is now amplified and focused on the disparate treatment models may cause for African Americans.  Defining and correcting the bias presents difficult issues for data scientists that need to be carefully thought through before reaching conclusions. The hue and cry over potential bias in modeling is not new news.  We first wrote about it in 2018 when there was broad based concern over individuals being impacted unfairly by the results of our models.  The academic field of ethical ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. In the paper A survey on bias and fairness in machine learning.- the authors outline 23 types of bias in data for machinelearning. The source is good – so below is an actual representation because I found it useful as it is full paper link below 1) Historical Bias. Historical bias is the already existing bias and socio-technical issues in the world and can seep into from the data generation process even given a perfect sampling and feature selection. An example of this type of bias can be found in a ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Robert R. Tucci. Today I uploaded to github the first version of my book “QC Paulinesia” about Quantum Computing. The title is a play on the surname of the famous quantum scientist Wolfgang Pauli and the word "Polynesia". The book is based on a paper with the same name that I wrote in 2004.  Here is its github repo. Here is the pdf for the book. Let me quote the current Foreword. Welcome to QC Paulinesia!This book started its life as Ref.cite{origin}, a 53 page pedagogical paper that I published at ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Norton Trevisan Roman. Yahoo Finance (below) is a website that gives us a good deal of information about the financial market, including information about stock trading. To get the numbers for a specific stock, all you have to do is to search for its Yahoo code (ex: VALE - see figure below). This is not necessarily the company’s trading code at the market, but its representation in Yahoo Finance. The platform will then show you some free information, both technical and fundamental, about the desired company and stock (naturally, the best pieces ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. Background Anomaly detection for IoT is one of the archetypal applications for IoT. Anomaly detection techniques are also used outside of IoT. In my teaching at the #universityofoxford - we use anomaly detection as a use case because it brings together many of the intricacies for IoT and also demonstrates the use of multiple #machinelearning and #deeplearning algorithms    Long term, I am exploring the idea of creating an open source anomaly detector for IoT - both for my students and in general. So, I  am exploring this  space ... 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. To subscribe, follow this link. Announcements Intelligent Process Automation: Boosting Bots with AI and Machine Learning Study DataAnalytics part-time at @METBU and earn a top-ranked master’s degree from a university that’s been a leader in online study for nearly two decades. And student-to-instructor ratios of 15:1! Featured Resources and Technical Contributions IoT Anomaly detection - algorithms, techniques and open source implementation ... Read More