Machine learning and AI

Learn to do machine learning in the field of artificial intelligence with Python!
4.76 (34 reviews)
Udemy
platform
English
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Other
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Machine learning and AI
1 791
students
6.5 hours
content
Jul 2025
last update
$19.99
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Why take this course?


ebug: 1500 characters reached in 4 paragraphs with structured content (including headings, bullet points, and emojis) for Machine Learning and AI course description by Massimiliano Sorrentino.

🎓 Course Title: Machine Learning and AI

🧠 Understand the Core of AI: Introduction to Machine Learning

Course Description:

🛠️ Foundations of Machine Learning:

  • Dive into the essentials of Linear Algebra with an understanding of vectors, matrices, and their impact on machine learning algorithms.

🌍 Optimization Techniques:

  • Master Gradient Descent and its role in refining model parameters for optimal performance.
  • Learn the importance of Mini-Batch Processing, a technique to speed up the training process without losing accuracy.

🧠 Neural Networks Demystified:

  • Discover how imitating natural neurons, Artificial Neurons work with weighted sums and activation functions to solve complex problems.
  • Explore the dynamics of Activation Thresholds and Synaptic Weights, paralleling artificial models with biological realities.

👨‍💻 Building Smart Networks:

  • Construct sophisticated Neural Networks capable of tasks like image recognition, leveraging the power of Backpropagation.
  • Apply your knowledge to see how these networks adjust weights for learning complex patterns and data classification.

Why Take This Course?

  • Gain a solid foundation in machine learning, allowing you to explore this exciting field with confidence.
  • Learn how to apply machine learning concepts and techniques to solve real-world problems.
  • Engage with the latest advancements in AI through practical examples and case studies.
  • Whether you're a data scientist, analyst, or simply an AI enthusiast, this course will equip you with the tools to understand and implement machine learning models effectively.

🛍️ What You Will Learn:

  • The mathematical framework that underpins modern machine learning algorithms.
  • Optimization techniques like Gradient Descent and Mini-Batch Processing.
  • The structure, function, and application of Neural Networks.
  • Backpropagation and its role in improving network performance.

Who Is This Course For?

  • Aspiring data scientists who want to build a strong foundation in machine learning.
  • Developers or analysts looking to incorporate AI into their projects.
  • Students interested in artificial intelligence, seeking to explore its theoretical and practical applications.

Enroll now to embark on a journey within the fascinating world of Machine Learning and AI, where mathematics meets technology to create intelligent machines that learn and adapt. Let's unlock the potential of data together! 🚀💻🎉

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6452089
udemy ID
08/02/2025
course created date
05/03/2025
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