Algorithm

Imagine you're a software developer looking for database optimization techniques, especially to boost the efficiency of queries in large-scale databases. In a traditional SQL database, you might use keywords like "B-Tree indexing" or simply "Indexing" to find related blogs or articles. However, this keyword-based approach might overlook important blogs or articles that use different but related phrases, such as "SQL tuning or "indexing strategies." Consider another scenario where you're aware of the context but not the…

Binary options trading, a form of financial trading where the payout is either a fixed amount or nothing at all, has seen significant growth in popularity. Central to this growth is the development and use of sophisticated trading signals. These signals, generated by a combination of advanced technologies, guide traders in making decisions about when to buy or sell binary options. This article explains the technology behind trading signals. The Role of Trading Signals in Binary Options Before exploring the technology,…

In the era of ubiquitous AI, the question of ethical products transcends mere buzzwords. As intelligent algorithms infiltrate every facet of our lives, from shopping recommendations to medical diagnoses, the responsibility to build ethically sound creations rests heavily on developers, policymakers, and users alike. But what exactly does "ethical" mean in this context, and why is it so critical, especially in light of the EU's recent AI Act? Defining Ethical AI Ethical AI embodies a set of principles ensuring fairness,…

Two years after its first attempt, digital payment service provider MobiKwik has filed draft papers for a truncated initial public offering to raise Rs 700 crore. This and more in today’s ETtech Top 5.Also in this letter:■ ETtech Deals Digest■ Meet Google DeepMind’s humanoid ALOHA■ Zomato to liquidate Vietnam businessMobiKwik files draft papers for Rs 700 crore IPO MobiKwik cofounders Bipin Preet Singh, Upasana TakuAfter abandoning its initial listing plans in 2021 due to uncertain market conditions,…

The Industrial Internet of Things (IIoT) has revolutionized the industrial landscape, providing organizations with unprecedented access to real-time data from connected devices and machines. This wealth of data holds the key to improving operational efficiency, reducing downtime, and ensuring the longevity of industrial assets. One of the most transformative applications of IIoT is predictive maintenance and anomaly detection, made possible by the integration of Machine Learning (ML) and Artificial Intelligence (AI)…

If you're familiar with the FinTech startup industry, you may have heard of Revolut, a well-known FinTech giant based in London, UK. Founded in 2015, Revolut has garnered substantial investments and become one of the fastest-growing startups in the UK, providing banking services to many European citizens. While banking operations are often shrouded in mystery when it comes to how they generate revenue, some key figures about Revolut for the years 2020 and 2021 have shed some light on their income sources: As illustrated,…

In the modern landscape of data management and processing, the need for sophisticated data models and methodologies that can handle complex data structures has never been more imperative. The advent of graph data, with its unique ability to represent intricate relationships naturally and intuitively, has opened up a new frontier in data analysis. While established graph databases like Neo4j offer robust solutions for handling graph data, the idea of integrating graph data into SQL databases offers potential advantages…

Geo-Zoning is a method used to partition a geographical area into distinct zones or regions, with a set of rules or guidelines governing activities and land use within its boundaries using driving distance or driving time. This concept is widely used in urban planning, land use management, representatives to locate customers seamlessly, and various other fields. The K-Medoid algorithm is a partition technique of clustering that clusters into K groups around medoids, which are data points representative of clusters; unlike…

What it is and How to apply it to a real-world scenarioContinue reading on Towards Data Science » What it is and How to apply it to a real-world scenarioContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of…

In the ever-evolving landscape of technology, the tandem growth of Artificial Intelligence (AI) and Data Science has emerged as a beacon of hope, promising unparalleled advancements that will significantly impact and enhance various aspects of our lives. As we stand on the cusp of a new era, it is crucial to explore how the integration of AI and Data Science is poised to shape the future and offer solutions to some of humanity's most pressing challenges. Healthcare Revolution One of the most promising domains where future…