Tag: machine learning

Feed: Featured Blog Posts - Data Science Central. Author: Kateryna Lytvynova. When you give customers advice that can help them save some money, they will pay you back with loyalty, which is priceless. Interesting fact: Fareboom users started spending twice as much time per session within a month of the release of an airfare price forecasting feature. This tool continues to grow conversion for our partner. Besides travel, price predictions find their application in various scenarios. Commodity traders, investors, construction developers, or energy generators use estimates on future price movements for business purposes. This time we talked with experts from AleaSoft, ENFOR, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Data Science, Machine Learning, Deep Learning, and Artificial Intelligence are some of the most heard about buzzwords in the modern analytical eco-space. The exponential growth of technology in this regard has simplified our lives and made us more machine dependent. The astonishing hype surrounding such technologies has prompted professionals from various disciples to hop on to the ship and consider analytics as their career option. To master Data Science or Artificial Intelligence in that regard, one needs a myriad of skills which includes Programming, Mathematics, Statistics, Probability, Machine Learning, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Andreas Blumauer. Tips Don't try to put the cart before the horse: realize that efficient data preparation (and thus interoperable standards) and data quality, especially in the enterprise environment, are a basic requirement for all applications of artificial intelligence. The development of competences and experts in the field of artificial intelligence must take place at least parallel to the process of every technological decision, but not at the end of the implementation of an AI strategy. Outsourcing must not be part of this strategy. ‘Not to boil the ocean’, in other ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Machine Learning is the word of the mouth for everyone involved in the analytics world. Gone are those days of the traditional manual approach of taking key business decisions. Machine Learning is the future and is here to stay. However, the term Machine Learning is not a new one. It was there since the advent of computers but has grown tremendously in the last decade due to the massive amounts of data that’s getting generated, and the enormous computational power that modern-day system possesses. Machine Learning is the art ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Marco Tavora. Nowadays, artificial intelligence is present in almost every part of our lives. Smartphones, social media feeds, recommendation engines, online ad networks, and navigation tools are some examples of AI-based applications that already affect us every day. Deep learning in areas such as speech recognition, autonomous driving, machine translation, and visual object recognition has been systematically improving the state of the art for a while now.However, the reasons that make deep neural networks (DNN) so powerful are only heuristically understood, i.e. we know only from experience that we can achieve ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Andrea Manero-Bastin. This article was written by Will Koehrsen.  Reading through a data science book or taking a course, it can feel like you have the individual pieces, but don’t quite know how to put them together. Taking the next step and solving a complete machine learning problem can be daunting, but preserving and completing a first project will give you the confidence to tackle any data science problem. This series of articles will walk through a complete machine learning solution with a real-world dataset to let you see how all ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Emmanuelle Rieuf. This article was written by Swati Kashyap. Swati is a data science & analytics enthusiast. Currently,she is learning data science at Analytics Vidhya. Mathematics & Statistics are the founding steps for data science and machine learning. Most of the successful data scientists I know of, come from one of these areas – computer science, applied mathematics & statistics or economics. If you wish to excel in data science, you must have a good understanding of basic algebra and statistics. However, learning Maths for people not having background in mathematics can be intimidating. First, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Richard Charles, PhD. I’m frustrated! Being a Technophile poses several problems that seem to go unaddressed by leaders of the “Big Tech” firms. As the big firms such as Apple, Google and Samsung continue to develop impressively beautiful, technologically capable, faster and yes, addictive technologies, consumers are left with solving a very complex problem. That is, “how does one optimize the use and efficacy of their technology devices?” To answer this question, I must share with you that I have yet to solve the problem. However, my use of my desktop, ... Read More

Feed: Big Data Made Simple. Author: Megan Ray Nichols. The semiconductor industry has grown exponentially in recent decades, as more devices rely on them to function. Everyone carries around semiconductors in their pocket or purse, in the form of a smartphone or laptop. As the industry continues to change, big data is quickly becoming everyone’s favorite buzzword. How are big data and predictive analytics set to improve the superconductor and electronics industries?The changing digital landscapeThe digital landscape is continually changing and evolving, effectively doubling every two years. As of 2018, internet users numbered in the billions, generating 2.5 quintillion bytes ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: vikram-murali; Beyond IBM Cloud Pak for Data, formerly known as IBM Cloud Private for DataLast year, IBM announced IBM Cloud Pak for Data, a robust, end-to-end solution for data and analytic needs within an enterprise. One of its design principles was to help organizations access a vast array of data sources on-premises and in the cloud—all while applying IBM’s deep data management and analytics within a private cloud setting. As a refresher, IBM Cloud Pak for Data is an integrated collection of data and analytics microservices built on a ... Read More