Tag: Classification

Feed: R-bloggers. Author: Abdul Majed Raja. It could be the era of Deep Learning where it really doesn’t matter how big is your dataset or how many columns you’ve got. Still, a lot of Kaggle Competition Winners and Data Scientists emphasis on one thing that could put you on the top of the leaderboard in a Competition is “Feature Engineering”. Irrespective of how sophisticated your model is, good features will always help your Machine Learning Model building process better than others. What is Feature engineering? Features are nothing but columns/dimensions and Feature Engineering is the process of creating new Features ... Read More

Feed: R-bloggers. Author: Bernardo Lares. To automate the process of modeling selection and evaluate the results with visualization, I have created some functions into my personal library and today I’m sharing the codes with you. I run them to evaluate and compare Machine Learning models as fast and easily as possible. Currently, they are designed to evaluate binary classification models results. Before we start, let me show you the final outcome so you know what we are trying to achieve here with just a simple R function: So, let’s start! The results object First of all, we need to have ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Baiju NT. Data has grown increasingly complex over recent years, thanks in no small part to computers becoming fundamental to how all businesses work. This has its positives, as the more data and metrics a company can work with, the more performant and reactive the be. The real problem is that many people are very visually-oriented, meaning a wall of text, numbers and technical terms simply aren’t all that digestible, even to people who understand what all this information means. Thankfully, people long ago mastered the creation of charts, ... Read More

Feed: SAS Blogs. Author: Federico Alberto Pozzi. In the new era of online visual communication, when you have to be fast and clear, emojis are getting a strong relevance as the main language that allows us to communicate with anyone globally. Customers know it and brands too. Collecting and analyzing data on emojis give companies useful insights on how customers are feeling about a new product, a new campaign, or about the brand itself. Emojis can even help identify where there is a need to improve consumer engagement by picturing users’ moods, attitudes, and opinions. And to do that, companies ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Kateryna Lytvynova. The best trained soldiers can’t fulfill their mission empty-handed. Data scientists have their own weapons — machine learning (ML) software. There is already a cornucopia of articles listing reliable machine learning tools with in-depth descriptions of their functionality. Our goal, however, was to get the feedback of industry experts. And that’s why we interviewed data science practitioners — gurus, really —regarding the useful tools they choose for theirprojects. The specialists we contacted have various fields of expertise and are working in such companies as Facebook and Samsung. Some of them represent AI startups ... Read More

Feed: What's New. DeepAR is typically used for forecasting in use cases such as improved supply chain with better product demand forecasts. Many data sets come with incomplete data leading to incorrect forecasts. With DeepAR in SageMaker, missing values are now handled within the model, making forecasting easier and more accurate by utilizing the recurrent neural networks (RNN) model. The second enhancement for DeepAR algorithm is the ability to support custom time-varying features such as seasonality patterns that vary at different levels of a hierarchy across different time series. Third, DeepAR supports grouping of time series with multiple attributes, also ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Saumitra Buragohain. We’re excited to announce the long-awaited release of Hortonworks Data Platform 3.0.0. HDP 3.0 is faster, smarter, hybrid, bigger, trusted and real-time database. We encourage you to read our blog that announced HDP 3.0. You can also view our keynote presentation from DataWorks Summit, where we demoed an autonomous car (1/10 scale), trained with HDP 3.0 technologies. We also want to thank  our current and prospective customers and partners for signing up for the HDP 3.0 Early Access and we are encouraged by the huge interest- now, you can use the HDP ... Read More

Feed: R-bloggers. Author: Holtz. I’m delighted to announce a new dataviz project called ‘Data to Viz’. —> data-to-viz.com What it is From Data to Viz is a classification of chart types based on input data format. It comes in the form of a decision tree leading to a set of potentially appropriate visualizations to represent the dataset. The decision trees are available in a poster that has been presented at UseR in Brisbane. Philosophie The project is built on two underlying philosophies. First, that most data analysis can be summarized in about twenty different dataset formats. Second, that both data ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Baiju NT. We are stepping into an avant-garde period, powered by advances in robotics, the adoption of smart home appliances, intelligent retail stores, self-driving car technology etc. Machine leaning is at the forefront of all these new-age technological advancements. The development of automated machines which have the capability match up to or maybe even surpass the human intelligence in the coming time. Machine learning is undoubtedly the next ‘big’ thing. And, it is believed that most of the future technologies will be hooked on to it. Why is machine ... Read More

Feed: What's New. The kNN algorithm can be used to address classification and regression problems. As an example, the classification of an unlabeled image can be determined by the labels assigned to its nearest neighbors. This is useful for recommendation systems, anomaly detection, and image/text classification. For regression problems, kNN can be used to predict a number based on the function of the labels of its neighbors, which is typically set as the average or the median. Object detection is the process of identifying and classifying objects in an image. With the new Object Detection algorithm in Amazon SageMaker, you ... Read More