Tag: Data visualization

Feed: Featured Blog Posts - Data Science Central. Author: Tetiana Boichenko. Machine learning in finance may work magic, even though there is no magic behind it (well, maybe just a little bit). Still, the success of machine learning project depends more on building efficient infrastructure, collecting suitable datasets, and applying the right algorithms. Machine learning is making significant inroads in the financial services industry. Let’s see why financial companies should care, what solutions they can implement with AI and machine learning, and how exactly they can apply this technology. Definitions We can define machine learning (ML) as a subset of data science that uses ... 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: 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: Featured Blog Posts - Data Science Central. Author: Aspasia Daskalopoulou. Present facts“Most people will believe whatever you tell them as long as a chart is involved,” researchers found in a 2014 study “Blinded with science.” Given the persuasive power of charts, it’s important we use them correctly and put our audience’s best interests at the heart of our design. There are many different ways a chart can accidentally communicate the wrong message, distort the truth, or make the data difficult, if not impossible, to decipher and consume quickly. Many charts have sophisticated and intelligent underlying information, but their presentation ... 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 7 must-see sessions on data analytics at Next ‘18 Wednesday, July 11, 2018 By Saptarshi Mukherjee, Product Marketing Lead, Data analytics & IoT From understanding Wikipedia pageview data to determining patent coverage from both private and public patent datasets, big data has proved essential to solving numerous interesting, large-scale problems. This year at Next ‘18, we’re offering more than 60 sessions on topics ranging from data warehousing to data visualization to streaming data ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Packt Publishing. What You Need to Know about Machine Learning By Gabriel A. Canepa This eBook offers you the perfect place to lay the foundation for your work in the world of Machine Learning, providing the basic understanding, knowledge, and skills that you can build on with experience and time. What you will learn: Discover the various forms Machine Learning, and take that which will benefit you the most Pick up the Python tools you need to know: from pandas to scikit-learn Learn the relationship between machine learning and big data ... 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 Data Science and Machine Learning: Great List of Resources  Free eBooks on Data Visualization and Machine Learning  How to integrate Hadoop and Teradata using SQL-H  Debunking Google's Death AI  ff Package and Too-Big-for-Memory Data in R - Part 3  Exploring Kaggle Titanic data with R Packages nanair and UpSetR  New Book: Practical Enterprise Data Lake Insights  Building ... Read More

Feed: R-bloggers. Author: aghaynes. A recent blog post regarding data visualization had some barplots I liked the look of (aesthetically…for research purposes, they wouldn’t be suitable). They look as if they’ve be coloured in with a pencil, rather than having solid blocks of colour… I wondered whether it’s possible with R, and indeed it is. There’s a github project called ggrough that interacts with ggplot2. Related R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web ... Read More

Feed: R-bloggers. Author: Rstats on Julia Silge. This morning I was scrolling through Twitter and noticed Alberto Cairo share this lovely data visualization piece by Adam J. Calhoun about the varying prevalence of punctuation in literature. I thought, “I want to do that!” It also offers me the opportunity to chat about a few of the new options available for tokenizing in tidytext via updates to the tokenizers package.Adam’s original piece explores how punctuation is used in nine novels, including my favorite Pride and Prejudice. Related To leave a comment for the author, please follow the link and comment on ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Pedro URIA RECIO. Artificial Intelligence (A.I.) is a wide umbrella of emerging technologies which have the potential to completely transform business and society. In its immense complexity, artificial intelligence is like human intelligence. Effective analytics teams in business interact in the same way as our nervous system does to enable human intelligence: - Analytics Organization: data professionals are like neurons in our brain, which organise cognitive and analytical functions akin to an analytics organizational chart. Leaders need to understand analytics roles, hiring and retention techniques, organizational models and the role of the Chief ... Read More