Machine Learning courses

1335 Courses

Digital Classroom - Authoring Visual Analytics Using Amazon QuickSight (French)

Digital Classroom - Authoring Visual Analytics Using Amazon QuickSight (French) Dans ce cours, vous utiliserez Amazon QuickSight pour créer une solution de visualisation des données. Ce cours se concentre sur la connexion à des sources de données, la création de visuels, la conception de l'interactivité et la création de calculs. Découvrez comment.
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Work with Gemini Models in BigQuery - 한국어

Work with Gemini Models in BigQuery - 한국어 이 과정은 BigQuery에서 생성형 AI 작업에 AI/ML 모델을 사용하는 방법을 보여줍니다. 고객 관계 관리와 관련된 실제 사용 사례를 통해 Gemini 모델로 비즈니스 문제를 해결하는 워크플로를 설명합니다. 이해를 돕기 위해 SQL 쿼리와 Python 노트북을 사용하는 코딩 솔루션을 단계별로 안내합니다. 제공자: Coursera 카테고.
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Work with Gemini Models in BigQuery - Español

Trabaja con Modelos de Gemini en BigQuery - Español En este curso, se muestra cómo usar modelos de IA/AA para tareas de IA generativa en BigQuery. A través de un caso de uso práctico relacionado con la administración de relaciones con clientes, conocerás el flujo de trabajo para solucionar un problema empresarial con modelos de Gemini. Para fac.
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Work with Gemini Models in BigQuery - 简体中文

Work with Gemini Models in BigQuery - 简体中文 이 과정은 BigQuery에서 생성형 AI 작업에 AI/ML 모델을 사용하는 방법을 보여줍니다. 고객 관계 관리와 관련된 실제 사용 사례를 통해 Gemini 모델로 비즈니스 문제를 해결하는 워크플로를 설명합니다. 이해를 돕기 위해 SQL 쿼리와 Python 노트북을 사용하는 코딩 솔루션을 단계별로 안내합니다. University: Provider:.
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Work with Gemini Models in BigQuery - 日本語版

Gemini モデルを使用した BigQuery 作業 - 日本語版 このコースでは、BigQueryで生成型AI作業にAI/MLモデルを使用する方法を紹介します。顧客関係管理に関連する実際の使用事例を通じて、Geminiモデルを使用してビジネス問題を解決するワークフローを解説します。理解を深めるために、SQLクエリとPythonノートブックを使用したコードソリューションを詳細に案内します。
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AWS Machine Learning Engineer Nanodegree

AWS Machine Learning Engineer Nanodegree The AWS Machine Learning Engineer (MLE) Nanodegree program aims to equip software developers and data scientists with essential data science and machine learning skills. Learn to build and deploy machine learning models in production using Amazon SageMaker. This comprehensive course focuses on the latest bes.
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Applying Data Science to Product Management

Applying Data Science to Product Management All products developed for today's market are data products—running on data-derived insights to provide the right experience, to the right user, at the right time. Companies like Amazon, Netflix, Google, and more are able to provide personalized and engaging experiences to users because they utilize.
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Self Driving Car Engineer

Self Driving Car Engineer Work on the future of autonomous vehicles and help make the self-driving car revolution a reality! University: Provider: Udacity Categories: Machine Learning Courses, Computer Vision Courses, Deep Learning Courses, Autonomous Vehicles Courses, Kalman Filter Courses, Image Processing Courses, Localization Courses, PID C.
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AI For Business Leaders

AI For Business Leaders | Udacity AI For Business Leaders University: Udacity Categories: Artificial Intelligence Courses, Machine Learning Courses, Business Courses Formulate and evaluate proposals grounded in first principles when assessing opportuniti.
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AI for Trading

AI for Trading | Udacity Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio. University: Provider: Udacity Categories: Artificial Intelligence Courses Python Courses Machine Learning Courses.
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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!