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AI courses

2023 Courses

California Institute of Technology Coursera

Responsible AI for Developers: Fairness & Bias - Українська

Responsible AI for Developers: Fairness & Bias - Українська Під час цього курсу ви зможете ознайомитися з концепціями відповідального підходу й принципами щодо штучного інтелекту. Ви дізнаєтеся про практичні методи виявлення об’єктивності й упередженості в роботі ШІ та технологій машинного навчання, а також ознайомитеся зі способами мінімізувати.
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California Institute of Technology Coursera

Responsible AI for Developers: Interpretability & Transparency - Italiano

Responsible AI for Developers: Interpretability & Transparency - Italiano Questo corso introduce i concetti di interpretabilità e la trasparenza dell'AI. Parla dell'importanza della trasparenza dell'AI per sviluppatori ed engineer. Illustra metodi e strumenti pratici per aiutare a raggiungere interpretabilità e trasparenza sia nei dati che nei.
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California Institute of Technology Coursera

Responsible AI for Developers: Interpretability & Transparency - 繁體中文

Responsible AI for Developers: Interpretability & Transparency - 繁體中文 | Coursera 本課程旨在說明 AI 的可解釋性和透明度概念、探討 AI 透明度對開發人員和工程師的重要性。課程中也會介紹實務方法和工具，有助於讓資料和 AI 模型透明且可解釋。 University: Provider: Coursera Categories: Artificial Intelligence Courses, Machine Learning Courses, Data S.
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California Institute of Technology Coursera

Responsible AI for Developers: Interpretability & Transparency - Polski

Responsible AI for Developers: Interpretability & Transparency - Polski Na tym szkoleniu przedstawiamy koncepcje interpretowalności i przejrzystości AI. Omawiamy na nim, jak ważna jest przejrzystość AI dla deweloperów i inżynierów. Pokazujemy praktyczne techniki i narzędzia, które pomagają osiągnąć interpretowalność oraz przejrzystość zarówno w.
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California Institute of Technology Coursera

Introduction to Image Generation - Deutsch

Einführung in die Bildgenerierung - Deutsch In diesem Kurs werden Diffusion-Modelle vorgestellt, eine Gruppe verschiedener Machine Learning-Modelle, die kürzlich einige vielversprechende Fortschritte im Bereich Bildgenerierung gemacht haben. Diffusion-Modelle basieren auf physikalischen Konzepten der Thermodynamik und sind in den letzten Jahren i.
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California Institute of Technology Coursera

Gemini for Data Scientists and Analysts - Español

En este curso, descubrirás cómo Gemini, un colaborador potenciado por IA generativa de Google Cloud, ayuda a analizar los datos de los clientes y predecir las ventas de productos. También aprenderás a identificar, categorizar y desarrollar los clientes nuevos usando datos de clientes en BigQuery. A través de labs prácticos, comprobarás cómo Gem.
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California Institute of Technology Coursera

Responsible AI for Developers: Interpretability & Transparency - Bahasa Indonesia

Responsible AI for Developers: Interpretability & Transparency - Bahasa Indonesia Responsible AI for Developers: Interpretability & Transparency - Bahasa Indonesia Kursus ini memperkenalkan konsep penafsiran dan transparansi AI. Kursus ini membahas pentingnya transparansi AI bagi developer dan engineer. Kursus ini juga mengeksplorasi metode dan.
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California Institute of Technology Coursera

Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro

Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro Neste curso, apresentamos os conceitos de interpretabilidade e transparência em IA. Vamos abordar a importância da transparência em IA para desenvolvedores e engenheiros. O curso também abrange ferramentas e métodos práticos para ajudar a alcançar a interpre.
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California Institute of Technology Coursera

Responsible AI for Developers: Interpretability & Transparency - 日本語版

Responsible AI for Developers: Interpretability & Transparency - 日本語版 このコースでは、AI の解釈可能性と透明性のコンセプトを紹介します。デベロッパーとエンジニアにとって AI の透明性が重要であることについて説明します。データと AI モデルの両方で解釈可能性と透明性を達成できる実践的な方法とツールを検証します。
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California Institute of Technology Coursera

Responsible AI for Developers: Privacy & Safety - 日本語版

Responsible AI for Developers: Privacy & Safety - 日本語版 このコースでは、AI のプライバシーと安全性に関する重要なトピックを紹介します。具体的には、Google Cloud プロダクトとオープンソース ツールを使用して AI のプライバシーと安全性の推奨プラクティスを実装するための実践的な方法とツールを検証します。 提供元: Coursera カテゴリ: 人工知能コース,.
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Artificial intelligence is the ability of a machine to imitate human thinking. This is the name of modern technology with the help of which electronic devices, programs and robots can solve various problems using given algorithms. We tell you where to start studying AI course and why it is needed.

What is AI course and why is it so interesting?

The topic of artificial intelligence course and machine thinking interested scientists even before the invention of computers, and after the advent of computers it reached a new level. In the 1950s and 60s, issues related to the creation and use of artificial intelligence began to be widely discussed in society.

The answer to this question is also difficult to find because there are no clear criteria for the intelligence of a machine. If this is the ability to make logical conclusions, then the computer has long surpassed humans. When it comes to flexibility and originality of thinking, humans are still superior to even the most modern intelligent devices.

AI is actively used in a variety of fields, the list of which is expanding every year, and not only techies, but also humanists—specialists in project management, advertising and PR, psychologists, economists, and linguists—can find their place in this area.

What can artificial intelligence course programs do?

Modern artificial intelligence technologies make it possible to create devices and programs that:

find the maximum possible solutions to one situation; machine intelligence can quickly analyze all options and calculate which one will be the cheapest, safest, and most effective. The machine’s responses will depend on what task a person has given it. For example, AI courses online can show how to calculate which model or product is more profitable to produce based on data on the cost of consumables and sales volumes.

can answer any questions integrated into their system; at the same time, the machine can not only find a ready-made answer in the database, but also search for it using intermediate leading questions that gradually narrow the search area.

collect and process large amounts of information, analyze it, combine unrelated pieces of information; This is how, for example, the image search system works in Google.

Artificial intelligence is a technology not only of the present, but also of the future, and specialists in this field will not have problems finding employment in the next few decades. Huge investments are already being attracted to this area, which means there will be no problems with remuneration for workers involved in the development, production and implementation of the best AI courses technologies from AI Eeducation.

Contribution to science and culture

Artificial intelligence and the creation of intelligent programs and devices is an area in which new discoveries are constantly being made. By working on artificial intelligence, scientists and engineers are at the forefront of world science, moving humanity forward. In addition, the development of artificial intelligence and its introduction into our lives gives rise to many ethical and philosophical questions, the resolution of which requires not a machine mind, but a human mind capable of creative thinking.

Creation

In the field of creating AI, not only software developers are in great demand, but also people with creative thinking who are able to come up with and promote new ideas. To work in this field, it is important to be able to think outside the box. A separate promising area that a creative person can take up is teaching a machine to create works of art. Already today computers draw pictures, write music and poetry. In the near future, perhaps they will take over the creation of books, films and cartoons.

Mastering new skills

To work in the field of artificial intelligence, you need a good knowledge of mathematics and basic programming. For the study of AI, the two most important branches of mathematics are linear algebra and probability theory. The most popular programming language in this area is Python, followed by R and Lua. Knowledge of the English language will also be useful - the most modern scientific data, articles, reports on achievements and experiments are usually published in English!