Author: Data Science Central

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. In the previous post, ten strategies to implement ai on the cloud and edge, I discussed strategies for end to end deployment for machine learning modules. How this relates to Agile? Deployment of AI comes within the scope the normal SDLC (software development lifecycle) So, normal Agile techniques like scrum, sprints, backlog planning, release planning, test driven development and acceptance criteria also apply to deployment of machine learning models in production. However, combining DevOps with development adds an extra level of complexity to machine learning. We need end to ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Just how much should you trust your AI systems?  Best practice points to constant review, strong governance, and the willingness to override results that seem illogical. Just how much do you trust your AI?  This is not intended to be the skeptical consumer view about bias or black box outcomes.  It’s intended to see if leaders in actual implementation see AI through proverbial rose colored glasses or whether and how much skepticism they think is warranted. As a source, I love these very professionally done surveys of AI ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. It is sometimes said that you don't need to know math to be a data scientist. Sometimes the opposite is said, after all, data science is supposed to be a science! Regardless, below are a few of my articles featuring how data science and math can benefit from each other - not just math to solve data science problems, but also data science to solve math problems. Articles Variance, Attractors and Behavior of Chaotic Statistical Systems New Family of Generalized Gaussian Distributions Gentle Approach to Linear Algebra, with Machine ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. Imagine this scenario: You enter your dentist’s office as a follow-up visit to the 6-month checkup you had last week. You’re nervous because the checkup revealed bleeding in your gums and cracks in your fillings, all things that require your dentist’s repair on this occasion. So, you’re there nervously fidgeting in the lobby waiting for your name to be called, envisioning all sorts of dentistry implements of torture that will soon be inside your mouth. Finally, when your name is called, you’re shown to the room of horrors and ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Robert R. Tucci. Quantum computers come in 2 varieties, quantum annealers and quantum gate models. So far, DWave is the only company selling quantum annealers. A third type of device is now available from Fujitsu. Fujitsu calls its device a "quantum inspired digital annealer". The Fujitsu device does not have any quantum correlation (quantum entanglement) between separate qubits, so, in that sense, it is not a real qc, and Fujitsu doesn't claim it is, only that it is "quantum inspired". DWave, on the other hand, does claim partial quantum entanglement between ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Roman Chuprina. Machine Learning is a term heard around the world these days. Industries like Retail, Healthcare, and Manufacturing are taking the best out of it. So does the leaders in Banking and Finance. There is enough time and room before the technology will truly explode. However, we can still talk about some real-world use cases and ways your business can benefit. AI and ML in financial services Machine learning in finance is rapidly developing – there are already dozens of options for its use in the financial sector. So why ... 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. To subscribe, follow this link.   Featured Resources and Technical Contributions  Key Graph Based Shortest Path Algorithms - Part 1: Dijkstra's And Bellman-Ford + Portfolio optimization with Quantum Computing Multi Gigabyte R data.table for Ohio Voter Registration/History Importance of Hyper-parameters in Model development Deep Learning from first principles in Python, R and Octave Docker in 10 minutes Scene-rendering with Google's DeepMind 5 Most Preferred Programming ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Fahad Zaidi. Having spent the better part of the last decade helping organisations in the U.S. and the U.K. use data to drive profit, efficiency, and performance improvements, I thought it would be helpful to jot down best practices for organizations that are looking to get the most value out of their enterprise-level financial and operational data sets. Every organisation entering the roaring 20s knows that they must use their data as a strategic differentiator to gain a competitive advantage and this article lists five things all companies must do to ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Roman Chuprina. To get a defining advantage over the competitors the banks, as well as other financial institutions must dig deep into technology breakthroughs. Luckily, Artificial Intelligence and Machine Learning are already here to help them to achieve it. Improving data processing will lead to better strategies and fraud prevention levels. Artificial Intelligence in Banking Statistics According to a forecast by the research company Autonomous Next, banks around the world will be able to reduce costs by 22% by 2030 through using artificial intelligence technologies. Savings could reach $1 trillion. Financial companies employ 60% ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. Software is always not only a set of instructions but also a context that manages, interacts and executes these instructions. At the start of developing, the engineer configures a dev environment. He can continue to change it in all stages of development. The problem appears when we need to share our software with testers or deploy it to production. Up-to-date development technique known as CI/CD is to test and possibly to deploy code with all changes made by the developer. But, how can we share our code if it ... Read More