Machine Learning courses

1772 Courses

Deep learning Preparation Course in Arabic Part 1 : Python

Embark on your machine learning journey with the Deep Learning Preparation Course in Arabic, Part 1: Python. Learn the essential skills needed to become a learning machine. This course is delivered by experts on Udemy, providing a comprehensive introduction to Python within the context of deep learning. Categories include: Python Courses.
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Machine Learning A-Z™: Hands-On Python & R in Data Science

Unlock the power of machine learning with the Machine Learning A-Z™ course, providing practical experience with Python and R. This Udemy course is designed for those looking to expand their knowledge in advanced data visualization, linear regression, decision trees, and essential libraries like NumPy and Pandas. Whether you're a budding data s.
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Python : Master Programming and Development with 15 Projects

Join our extensive Python course where you will delve into the complete Python programming landscape. This course offers a robust curriculum starting from the basics of Python and expanding into various fields such as Data Science, Data Visualization, Desktop Graphical Applications using Tkinter, and Machine Learning. With 15 hands-on project.
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Ensemble Machine Learning in Python: Random Forest, AdaBoost

Ensemble Machine Learning in Python: Random Forest, AdaBoost | Udemy Enhance your data science skills with our comprehensive course on ensemble machine learning in Python. Delve into powerful techniques like Random Forest and AdaBoost, as well as foundational ensemble methods such as Boosting, Bagging, and Bootstrap. This course is provided b.
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Machine Learning, Data Science and Generative AI with Python

Join our comprehensive, hands-on tutorial to delve into the realms of Machine Learning, Data Science, and Generative AI with Python. This course provides a deep dive into essential technologies and tools such as TensorFlow, GPT, OpenAI, and neural networks. Perfect for those seeking practical experience and aiming to advance their skills in m.
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Reinforcement Learning from Human Feedback (RLHF)

Join the course on Reinforcement Learning from Human Feedback to effectively align Generative AI models with human values and preferences. Gain hands-on proficiency with advanced Large Language Models (LLMs), and delve into the complexities of designing reward models. Elevate your understanding of AI that not only learns from inputs bu.
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Introduction to GPTs

Join our 'Introduction to GPTs' course and delve into the world of AI tools. Gain insights on how to responsibly and confidently utilize GPT tools across various applications. While OpenAI and ChatGPT are well-known, GPTs encompass a broad range of AI models developed for text-based tasks. Many organizations have harnessed GPT technologies to.
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Explainable AI in Python

Enhance your understanding of Explainable AI with this comprehensive course offered by DataCamp. Designed for data scientists and machine learning practitioners, you'll gain expertise in using Python's Scikit-learn, SHAP, and LIME to interpret and visualize AI model behaviors. Why is Explainable AI crucial? Transparent, accountable, and t.
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Data Show and Tell: Public Sentiment and Topic Modeling Analyses on X about Climate Change

Public opinion on climate policies is both complex and dynamic. "Data Show and Tell: Public Sentiment and Topic Modeling Analyses on X about Climate Change" is an innovative course designed to provide you with the tools to navigate this complexity. Learn how to use big data and state-of-the-art NLP techniques to extract meaningful insights fr.
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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!