Category: Featured

Feed: Featured Blog Posts - Data Science Central. Author: Rekha N Swamy. Artificial Intelligence and Big Data are shaping the world and every business must adopt a strategy and change the culture of their organisation to be able to survive and prosper. The Fourth Industrial Revolution is altering every facet of society and this book provides managers and professionals with the strategic skills to implement the changes required. Machines are increasingly being able to process information and perform actions that previously only humans could do. This revolution is taking place now and this book provides the information to guide future ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Hemant Warudkar. Of late, a buzzword in marketing and analytics circles is CDP or Customer Data Platform. Chief Marketing Officers now have this new weapon in their arsenal to serve customers in an even better, faster and more granular manner. A CDP is a “data unifying software”. Adding it on top of your martech stack helps manage your customer experience across every touchpoint – marketing, customer service and product. It absorbs an enterprise’s data from all sources – batch, streaming, structured or unstructured, transaction or demographic - and makes it available 24X7 ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Amit Dua. Are you considering creating a chatbot for your company’s website?  But aren't sure where to start.  Well, you are not alone. Presently, almost every business wants to integrate a chatbot in their system to deliver better customer service and support. And thus, everybody wants to know how to create a chatbot for their business, which fulfills its needs and delivers its brands persona in the market.  So, more people are having questions about the best ways to approach creating a chatbot from scratch in order to cut out the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Tamar Gal. Let’s explore the complexity and vulnerability of IT infrastructure and how to build a modern IT infrastructure monitoring solution, using a combination of time series databases with machine learning. iCloud recently joined Google, Facebook, Amazon on the list of major companies that have experienced massive cloud outages. Check out ZDNet’s series of articles detailing the outages. The outage caused disruptions to the likes of YouTube, Snapchat, and Gmail, among others. iCloud’s failure also affected all their third-party apps and ApplePay, which resounded globally. We have quickly embraced the cloud as more ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: leonardo mattes. Recommender systems are applied in a variety of industries such as e-commerce, streaming services and others. There are two major techniques used in Recommender systems,  collaborative filtering and Content-based filtering. This article presents five  “Jupyter” NoteBooks which construct a large scale recommender system based on a collaborative filter using  Spark FrameWork SVD, and another using Amazon Sage Maker  AutoEncode. The dataset used has more than  28 million user ratings. In this article the  final results of the two techniques are shown and compared and Spark SVD brings better results.  ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. Background Containerize your Apps with Docker and Kubernetes is an excellent free book from Gabriel N. Schenker You can download the whole book by registering HERE In this post, I explain the significance of deploying apps with Docker and Kubernetes and also some of my thinking at the University of Oxford artificial intelligence cloud and edge impleme... course. Oxford for AAA AI edge engineering “Ability to deploy AI and ML models in containers at the Edge” The book table of contents is Chapter 1: What Are Containers and Why ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. I’ve written several times about how the “economies of learning” are more powerful than the “economies of scale”.  Through a continuous learning and refinement process, organizations can simultaneously drive down marginal costs while accelerating time-to-value and de-risking projects via digital asset re-use and refinement (see Figure 1). Figure 1: Exploiting the Digital Economies of Learning Think about how us lowly humans learn.  Whether trying to hit a golf ball or playing the piano or water skiing, we learn though the “feedback loop of failure”.  And the more real-time, immediate ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ankit Garg. Data science has become an integral part of a 21st century organization. Almost all the companies, large, medium or small, want to utilize data science to fulfill their business imperatives by Improving their current processes for better operational efficiency thereby reducing costs Growing current business and opening new revenue streams Streamlining supporting functions including HR There are much more industry applications and avenues still to be explored then what is stated above, still setting up and successfully running a data science practice is something which has not been fully ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Jonathan Symonds. By Siddartha Mani, MinIO Few would argue with the statement that Hadoop HDFS is in decline. In fact, the HDFS part of the Hadoop ecosystem is in more than just decline - it is in freefall. At the time of its inception, it had a meaningful role to play as a high-throughput, fault-tolerant distributed file system. The secret sauce was data locality.  By co-locating compute and data on the same nodes, HDFS overcame the limitations of slow network access to data. The implications, however, are well known at this ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Andrea Manero-Bastin. This article was written by Rohith Gandhi. Introduction Computer vision is an interdisciplinary field that has been gaining huge amounts of traction in the recent years(since CNN) and self-driving cars have taken centre stage. Another integral part of computer vision is object detection. Object detection aids in pose estimation, vehicle detection, surveillance etc. The difference between object detection algorithms and classification algorithms is that in detection algorithms, we try to draw a bounding box around the object of interest to locate it within the image. Also, you might not necessarily ... Read More