Tag: machine learning

Feed: Featured Blog Posts - Data Science Central. Author: Nishtha Saxena. Data is growing every minute, and it’s not showing any sign of stopping. The pylon holding up the commercial enterprise of today is information – and it’s been the same way for decades. Petabytes and Exabytes of data racing through the information expressway of the 21st century, however have companies across the world scurrying to assimilate the most audacious datasets possible – all in the hope of gleaning that extra insight, that extra edge, over the others in the race. If you aren’t leveraging data, your own or from ... 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 New Book: Principles of Database Management  Competition: Explaining black box machine learning models  Frequencies in Pandas - and a Little R Magic for Python Demystifying Black-Box Models with SHAP Value Analysis The Best of Both Worlds: Logistic Regression Combined with Decision Trees  Which Data Science Techniques Should I Introduce to my Team Members?  Bill Vorhies Retrospective: Part ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Capri Granville. The Practical Guide to Storing, Managing and Analyzing Big and Small Data -- Cambridge University Press. This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts ... Read More

Feed: R-bloggers. Author: Carl Goodwin. With tensions heightened recently at the United Nations, one might wonder whether we’ve drawn closer, or farther apart, over the decades since the UN was established in 1945. We’ll see if we can garner a clue by performing cluster analysis on the General Assembly voting of five of the founding members. We’ll focus on the five permanent members of the Security Council. Then later on we can look at whether Security Council vetoes corroborate our findings. A prior article, entitled the “cluster of six“, employed unsupervised machine learning to discover the underlying structure of voting data ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Nishtha Saxena. Data is growing every minute, and it’s not showing any sign of stopping. The pylon holding up the commercial enterprise of today is information – and it’s been the same way for decades. Petabytes and Exabytes of data racing through the information expressway of the 21st century, however have companies across the world scurrying to assimilate the most audacious datasets possible – all in the hope of gleaning that extra insight, that extra edge, over the others in the race. If you aren’t leveraging data, your own or from ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vinod Sharma. Demystifying key buzzwords like Artificial intelligence, machine learning, artificial neural networks and deep learning is simple and complex task at the same time. Lets Undertand a Bit Let us attempt to melt down the thick confusion of how all-encompassing terms like artificial intelligence, machine learning, and deep learning speaks to each other. Machine learning, Blockchain and Artificial Intelligence are all the golden words these days. Almost every technology (now even non technology) company on this planet is claiming the share of extra revenue by putting these buzz words on ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Terence Finan. If a company is moving or monitoring a fluid, especially water, it’s likely that Pentair is involved. Pentair’s solutions span a wide range of industries, from energy, food and beverage, and manufacturing, to infrastructure, commercial, and aquaculture.With many of its products installed in relatively remote locations, Pentair is no stranger to developing connected systems. However, in the past, each of those solutions was typically custom-built, leading to long development times, a mismatch of different technologies, and an inability to reuse existing solution components and skill sets across the company’s areas of ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Michael Lin. You have probably heard of the 3Vs of big data – Volume, Variety, and Velocity. They define the three dimensions of big data, and the challenges that the hyper-connected digital world has produced over the last decade – the massive volume and increasing variety of data generated at rapid velocity that companies can’t keep up with traditional data management approach. Then there’s the fourth “V” – Veracity, pointing out the growing concern and complexity over the reliability of data: whether it is accurate or whether it can be trusted. As the numerical ... Read More

Feed: Microsoft Azure Blog. Author: Julia White. Last week, the Microsoft Build conference brought developers lots of innovation and was action packed with in-depth sessions. During the event, my discussions in the halls ranged from containers to dev tools, IoT to Azure Cosmos DB, and of course, AI. The pace of innovation available to developers is amazing. And, in case there was simply too much for you to digest, I wanted to pull together some key highlights and top sessions to watch, starting with a great video playlist with highlights from the keynotes. Empowering developers through the best tools Build ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Baiju NT. For today’s business, leveraging the power of big data isn’t a nice option — it’s a clear necessity. For nearly every industry, from communications to energy, architecture to real estate, the power of big data to provide intelligent insight can’t be overstated. The fine-grained detail and big picture are both visible at this level, both captured by careful analysis of huge datasets. But make no mistake: huge isn’t an exaggeration. When a dataset reaches into billions of points of information, it simply exceeds human capacities. Even an ... Read More