AI

[ad_1] Learn how to adjust regression algorithms to predict any quantile of dataRegression is a machine learning task where the goal is to predict a real value based on a…

[ad_1] How will advances in computing transform human society? MIT students contemplated this impending question as part of the Envisioning the Future of Computing Prize — an essay contest in…

[ad_1] Practical steps to identifying business-critical data models and dashboards and drive confidence in your dataSource: synq.ioThis article has been co-written with Lindsay MurphyNot all data is created equal. If…

[ad_1] You may choose suboptimal prompts for your LLM (or make other suboptimal choices via model evaluation) unless you clean your test dataCredit: Arthur Osipyan, UnsplashAuthors: Chris Mauck, Jonas MuellerReliable…

[ad_1] A guide to implementing Text2SQL to power data-driven organisationsFigure 1: Representation of the Text2SQL flowAs our world is getting more global and dynamic, businesses are more and more dependent…

[ad_1] Representing data in a non-Euclidean spaceIt is hard understanding how we can represent data in any other way than with vectors in Rn. Plus, how can we move away…

[ad_1] CRM market revenue has reached 80$ billion in 2023 and is expected to exceed 130$ billion in the next 5 years (see Figure 1). Although there are numerous CRM…

[ad_1] Artificial intelligence (AI), machine learning (ML), and blockchain technology are leading digital transformation trends for all business functions. Autonomous finance is combining these and other emerging tech to automate…

[ad_1] Latest automation trends indicate that 20% of jobs will be automated by the late 2020s and 30% by the mid-2030s. 1 IT automation is one area that enables organizations…

[ad_1] Matrix multiplication; the holy grail of deep neural networks and modern language understanding behemoths. As MLEs or data scientists, our fingers are too quick to type tf.matmul or torch.matmul…