Machine Learning courses

1758 Courses

Introduction to Artificial Neural Network and Deep Learning

Unlock the potential of artificial neural networks and deep learning with our comprehensive course on Udemy. Delve into the best machine learning techniques specifically tailored for data science, with practical applications in image recognition using Java and the Neuroph framework. Perfect for aspiring data scientists and developers eager t.
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GenAI for Financial Data Analysis

Dive into the world of Generative AI (GEN AI) and its remarkable impact on financial data analysis. This course offers hands-on exploration into how AI tools such as Microsoft Co-Pilot, ChatGPT, Datarobot, and Chartpixel are revolutionizing financial analytics. Designed for those with a foundational understanding of financial data and AI, t.
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AI in Accounting

Discover the transformative impact of Artificial Intelligence on accounting practices with our comprehensive course at Dartmouth College. Offered through Swayam, this course delves into integrating AI technologies into traditional accounting frameworks. Start with a strong foundation in accounting principles and progress towards advanced topic.

Emerging Technologies for Business and Society

Delve into the world of emerging technologies that have reshaped business models and environments over the last thirty years. Learn how technologies such as Artificial Intelligence, Machine Learning, Cloud Computing, and the Internet of Things are revolutionizing business decision-making and enhancing customer experiences with unparalleled se.

ChatGLM大模型应用构建和指令工程

Embark on a transformative journey into the world of artificial intelligence with the "ChatGLM大模型应用构建和指令工程" event. Engage in an insightful live discussion focused on the groundbreaking potential of ChatGPT and its role in ushering a new AI paradigm. Delve into the nuances of how this technology could shape the future landscape of.
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Geliştiriciler İçin Sorumlu Yapay Zeka

Bu uzmanlık kursu, geliştiricilere sorumlu yapay zeka sistemleri inşa etmek için gerekli bilgi ve becerileri kazandırmayı amaçlamaktadır. Fairness, Interpretability, Transparency, Privacy ve Safety'nin önemli ilkelerini öğrenin ve AI sistemlerinizi etik, güvenilir ve kullanıcılar için faydalı kılmak için pratik beceriler kazanın. Önyargıyı.
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AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML

Embark on a journey through the transformative world of Artificial Intelligence and Machine Learning with the AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML course. This comprehensive program will equip you with the foundational knowledge required to excel in the AWS Certified AI Practitioner exam. Core Concepts and Found.
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Generative AI Foundations: Generative AI in Action

Generative AI Foundations: Generative AI in Action Advance your AI knowledge with the course "Generative AI Foundations: Generative AI in Action." Move beyond the basics of GenAI chatbot interactions and delve into practical, real-world applications. Learn how to utilize Generative AI Agents and Retrieval-Augmented Generation (RAG) to implement.
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Data Science For Business Professionals

In today’s fast-paced digital economy, data is at the heart of every decision, making Data Science one of the most in-demand fields. Whether you are looking to enter the field of Data Science, improve your business analysis skills, or apply Machine Learning techniques to solve business challenges, this course will provide you with the essential.
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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!