The course on AI in business was highly engaging. I appreciated the structure, which combined a general focus on AI with more specific topics such as marketing, strategy etc. Each topic was taught by a different
Find easy-to-understand information about broad topics such as "What is Artificial Intelligence (AI)?", "What is Machine Learning (ML)?" and "What is Generative AI?" These articles are intended to help you up-level your understanding of frequently asked AI topics. Learn about more AI and...
A model will only reflect your current understanding of the problem. A learning algorithm will discover new insights or structures within the problem that you were not aware of. A generic ANN will model a process without your knowing the equations to describe it. Note that most ANNs cannot ...
1 Fig. 1 shows a guide to complete an ML project, which involves asking questions, exploring the data, building models and understanding the outcome and often iterating this. Although data are the key to ML algorithms, before looking at the data, it is important to ensure that there is ...
Great starting point on AI May 13, 2024 byJohan E.(SE) “Great starting point for understanding how AI really works. Gives a good perspective on tech and opportunities.” Company Choice Got a discount code from an event I went to. ...
DefinitionofAI SimpleSense Abranchincomputerscience;IntelligentcomputersystemIntelligence:ActingandThinkingHumanly (Understandingnaturallanguage,learning,reasoning)BroadSense Mechanismofhumanintelligent; ResearchontheintelligentTheory AAAI(AssociationfortheAdvancementofArtificialIntelligence) ...
It is believed that AI is not a new term, people say that according to Greek myths there weremechanical menin early days that act like humans. Instead of understanding AI as machines that do complex calculations, it can better be explained as machines that are built to act and behave like...
尽管本书的标题是《理解深度学习(Understanding Deep Learning)》,但人们对深度学习的某些方面仍然知之甚少。第20章提出了一些基本问题,为什么深度网络如此容易训练?为什么它们具有泛化能力?为什么它们需要这么多参数?它们需要很深的网络结构吗?一路上,我们将会探索一些意想不到的现象,例如损失函数的结构、双峰下降等。
他在故事生成和理解(story understanding and generation)、计算创意学(computational creativity)、可解释AI(Explainable AI)等领域发表了大量的论文。 原文链接:mark-riedl.medium.com/a 翻译:厌氧菌 校对:叶梓涛 翻译已获得作者授权。 人工智能故事生成导论 An Introduction to AI Story Generation 一篇来自 1931 年在...
WhatisAI? Variousdefinitions: Buildingintelligententities. Gettingcomputerstodotaskswhichrequirehumanintelligence. Butwhatis“intelligence”? Simplethingsturnouttobethehardesttoautomate: Recognisingaface. Navigatingabusystreet. Understandingwhatsomeonesays.