Ray Dalio is an investing legend whose success is most often attributed to investment acumen. This article argues that it was equally due to his foresight as an early but quiet adopter of computational systems, big data techniques, and artificial intelligence that resulted in his outstanding success. Bridgewater was one of the world’s earliest fintech companies.
Many problems have optimal algorithms developed for them, while many others require us to randomly guess until we get a good answer. Even an optimal solution becomes slow and complex at a certain scale, at which point we can turn to natural processes to see how they reach acceptable results. In this article, Toptal Freelance Software Engineer Eugene Ossipov walks us through the basics of creating a Genetic Algorithm and gives us the knowledge to delve deeper into solving any problems using this approach.
When most hear “drone,” they think expensive military aircrafts or small consumer toys. However, the future of drones will actually be shaped by practical commercial applications, due to their ability to drive efficiency and data analytics. This article defines drones and their total addressable market and highlights how their capabilities can be leveraged in commercial business operations. It also includes investment trends and predictions for the future of the industry.
Amy Divaraniya, CEO and co-founder of OOVA, created a product she knew the market needed. Yet, while she was pitching investors trying to close her seed round, she found that the financial projections needed a fresh pair of eyes.
Every year, popular UX design trends emerge and become popular because they provide better user experiences. This retrospective explores some of the most interesting and effective ones from 2019.
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TensorFlow makes implementing deep learning on a production scale a breeze. However, understanding its core mechanisms and how dataflow graphs work is an essential step in leveraging the tool’s power. In this article, Toptal Freelance Software Engineer Oliver Holloway demonstrates how TensorFlow works by first solving a general numerical problem and then a deep learning problem.
The future of UX lies in the ability of UX professionals to work at the intersection of technology while also mastering the craft of important human-centered design techniques.
COVID-19 made telemedicine popular—and in some cases, necessary. But many platforms and apps are inaccessible to those who need them most. Designers can change that.
Detecting objects of interest in images has always been an interesting challenge in the realm of computer vision, and many approaches have been developed over recent years. As mobile platforms are becoming increasingly powerful, now is the perfect opportunity to develop interesting mobile applications that take advantages of these algorithms. This article walks us through the process of building a simple iOS application for detecting objects in images.
The so-called “future of the internet” isn’t here yet, but it’s coming soon. Here’s how to start preparing your company for impending metaverse growth.
Clustering algorithms are very important to unsupervised learning and are key elements of machine learning in general. These algorithms give meaning to data that are not labelled and help find structure in chaos. But not all clustering algorithms are created equal; each has its own pros and cons. In this article, Toptal Freelance Software Engineer Lovro Iliassich explores a heap of clustering algorithms, from the well known K-Means algorithm to the elegant, state-of-the-art Affinity Propagation technique.
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