Machine Learning courses

1003 Courses

Cree un bot de búsqueda de respuestas mediante la IA generativa (Español LATAM) | Build a Question-answering Bot using Generative AI (LATAM Spanish)

Cree un bot de búsqueda de respuestas mediante la IA generativa (Español LATAM) | Build a Question-answering Bot using Generative AI (LATAM Spanish) Información general del laboratorio En este laboratorio, creará un chatbot que responde preguntas sobre los servicios de AWS. El laboratorio está diseñado para proporcionarle experiencia práctica.
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Créer un bot qui réponde aux questions à l'aide de l'IA générative (Français) | Build a Question-answering Bot using Generative AI (French)

Créer un bot qui réponde aux questions à l'aide de l'IA générative (Français) | Build a Question-answering Bot using Generative AI (French) Dans cet atelier, vous allez créer un chatbot qui répond aux questions concernant les services AWS. Cet atelier est destiné à vous fournir une expérience pratique dans le déploiement d’un grand modèle de lang.
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Build a Question-answering Bot using Generative AI (Simplified Chinese)

建置基於生成式 AI 的問答機器人 (簡體中文) - AWS Skill Builder 在此實驗室中,您將建置可回答 AWS 服務相關問題的 Chatbot。此實驗室的設計訴求是讓您實際體驗如何部署大型語言模型 (LLM)、將該模型與 Amazon Kendra 資料來源整合,以及建置可詢問 LLM 並使用檢索增強生成 (RAG) 來找出使用者問題解答的 Amazon Lex V2 Chatbot。此實驗室可協助您了解.
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Introduzione all'AI generativa - L'arte del possibile (Italiano) | Introduction to Generative AI - Art of the Possible (Italian)

Introduzione all'AI generativa - L'arte del possibile (Italiano) | Introduction to Generative AI - Art of the Possible (Italian) Il corso “Introduzione all'AI generativa - L'arte del possibile” fornisce un'introduzione all'AI, i casi d'uso, i rischi e i vantaggi. Con l'aiuto di un esempio di generazione di contenuti, illustreremo l'arte del possib.
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AWS で始める生成系 AI for Entry (Japanese ONLY) (Na) 日本語実写版

AWS で始める生成系 AI for Entry (Japanese ONLY) (Na) 日本語実写版 これから生成系 AI を業務で活用していく上で、そもそも生成系 AI とは何なのか、どのような技術的背景や、種類があり、業務で活用する上でのユースケースや課題を学習します。また、それらの課題に対して、AWS がどのように活用できるかを学習します。本コースは、AWS における生成系 AI の学習の第一歩.
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Analyze Taylor Swift Lyrics with Python Case Study

Analyze Taylor Swift Lyrics with Python Case Study Use sentiment analysis and natural language processing to analyze Taylor Swift's lyrics. If you're looking to analyze large amounts of text and gain deeper insight into music, try this case study. You will put your natural language processing and machine learning skills to use.

Advanced Microsoft Power BI

Welcome to Advanced Microsoft Power BI, where you'll embark on a journey to acquire practical expertise in data handling and machine learning to harness the power of Microsoft Power BI for data visualization and decision-making skills. Throughout this course, you'll explore industry-specific applications of Power BI and use advanced Power BI fea.
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Intro to Snowflake for Devs, Data Scientists, Data Engineers

Intro to Snowflake for Devs, Data Scientists, Data Engineers Unlock the potential of Snowflake with our comprehensive course designed for developers, data scientists, and data engineers. This course introduces you to Snowflake as a powerful platform for building applications, creating data pipelines, and developing AI models and workflows. You'll.
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Introduction to Machine Learning with ENCOG 3

Introduction to Machine Learning with ENCOG 3 This machine-learning course is dedicated to the implementation and applications of various methods using ENCOG 3. Initiate your free trial today! While the domain of machine learning is extensive, this course narrows its focus to neural networks. We begin by building a foundation, explaining machin.
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Advanced Machine Learning with ENCOG

Advanced Machine Learning with ENCOG In this course, you will delve into advanced topics related to machine learning, focusing on enhancing the accuracy of neural network predictive models. Explore the different types of neural networks and their implementations using the open-source machine learning framework ENCOG. Are you concerned about you.
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More and more products are now being developed using artificial intelligence. To avoid being left on the sidelines of progress, managers must understand how the robot’s “brains” work

Artificial intelligence (AI) and machine learning technologies have been used for many years, but now the intensity of their use has increased significantly. For example, machine learning is being actively implemented in telecommunications, retail, marketing and e-commerce. But many still do not fully understand what it is.

Machine learning involves the system processing a large number of examples, during which it identifies patterns and uses them to predict the characteristics of new data. In other words, this is the process of giving AI ml courses “consciousness”, the ability to remember and analyze.

Machine learning use cases

The use of machine learning has touched many areas in our lives. Let's look at the most striking examples of the use of computer intelligence:

Facial recognition in the subway will help identify violators or criminals in a huge mass of people. Ordinary observers cannot cope with this task. But a fast-learning machine will do this job without any problems.

What do you need for machine learning (ML)?

For those interested in training, there are several requirements to be met in order to be successful in this field. So, there are the main points you need to know about the machine learning course. These requirements include:

  1. Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

  2. Average knowledge of statistics and probability.

  3. Basic knowledge of linear algebra in the ml course. In a linear regression model, a line is drawn through all the data points, and that line is used to calculate new values.

  4. Understanding Calculus.

  5. Knowledge of how to clean and structure raw data into the desired format to reduce the time required for decision making.

Machine learning courses from AI Eeducation are the best choice!