Machine Learning courses

1795 Courses

course image

AWS Certified AI Practitioner (AIF-C01): Guidelines for Responsible AI

In the course AWS Certified AI Practitioner (AIF-C01): Guidelines for Responsible AI, you'll gain the essential knowledge to pass the Responsible AI domain of the AWS certification. This course emphasizes creating AI systems that uphold fairness, transparency, and trustworthiness to facilitate responsible decision-making. Course Outline: Iden.
provider Pluralsight
course image

AIOps: Model Deployment and Scaling

Unlock the capabilities of model deployment and scaling with our course, "AIOps: Model Deployment and Scaling," offered by Pluralsight. This course provides in-depth insights into a variety of GenAI models and diverse deployment strategies, ensuring you can deploy models for numerous use-cases. Start by exploring the different deployment st.
provider Pluralsight
course image

AWS Certified AI Practitioner (AIF-C01): Applications of Foundation Models

AWS Certified AI Practitioner (AIF-C01): Applications of Foundation Models
provider Pluralsight
course image

AI 入門

このコースでは、AIの主要なコンセプトと技術について、分かりやすく解説します。AIは現在、仕事や日々の生活を大きく変えようとしています。このコースは、AIについての基礎的な知識を得たい方や、AIを活用して、より良い仕事や生活を実現したいと考えている方に最適です。 人工知能の基本概念 機械学習の手法 強化学習の理解 ニューラルネットワークの構造.
provider LinkedIn Learning
course image

Künstliche Intelligenz (KI) – Grundlagen

Vertiefen Sie Ihr Wissen über Künstliche Intelligenz (KI) und Machine Learning (ML) durch einen detaillierten Überblick über deren Geschichte, Techniken und Einsatzbereiche. Dieser Kurs von LinkedIn Learning bietet umfassende Einblicke und Anleitungen für alle Interessierten im Bereich der entwickelnden Technologie, einschließlich Computer Vis.
provider LinkedIn Learning
course image

Was ist generative KI?

Entdecken Sie die faszinierende Welt der generativen KI in diesem umfassenden Kurs von LinkedIn Learning. Hier werden Sie in die grundlegenden Konzepte und historischen Entwicklungen eingeführt. Lernen Sie beliebte Modelle der generativen KI kennen und verstehen Sie, wie diese Technologien funktionieren. Der Kurs beleuchtet a.
provider LinkedIn Learning
course image

Découvrir l'IA générative

Découvrir l'IA Générative | LinkedIn Learning Explorez le monde fascinant de l'IA générative avec ce cours de LinkedIn Learning. En vous inscrivant, vous apprendrez les fondamentaux de l'intelligence artificielle générative, y compris son évolution historique, les modèles et technologies actuels, et comment ils fonctionnent. Découvrez les impl.
provider LinkedIn Learning
course image

Prompt Engineering – Grundlagen

Besuchen Sie den Kurs "Prompt Engineering – Grundlagen" auf LinkedIn Learning und entdecken Sie, wie Sie effektive Prompts erstellen können. Kategorien umfassen Künstliche Intelligenz, Maschinenlernen, Datenanalyse und mehr. Lernen Sie von Experten und erweitern Sie Ihre Fähigkeiten noch heute!
provider LinkedIn Learning
course image

ChatGPT Fundamentals

Embark on a journey to harness the power of AI with the ChatGPT Fundamentals course offered by DataCamp. This foundational course is designed to introduce you to the essentials of ChatGPT, enabling you to craft effective prompts and transform workflows. Through this course, you will discover how businesses worldwide utilize ChatGPT to drive.
provider DataCamp

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!