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ML Fundamentals
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Foundations
ML Fundamentals
Neural networks, backpropagation, gradient descent — the maths behind AI
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Data Science Challenge
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Build Testable Python Packages for AI
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ML Parameters Optimization: GridSearch, Bayesian, Random
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Production Machine Learning Systems - Português Brasileiro
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Introduction to Generative AI - Art of the Possible
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Aligning Business Strategy for AI Integration
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Automate Data Onboarding, Validate, and Govern
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Linear Algebra for Machine Learning and Data Science
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Python Fundamentals: Apply Data Structures
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AWS Certified Machine Learning - Specialty
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AI Foundations for Creativity
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Neuronale Netze und Deep Learning
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Introduction to Artificial Intelligence
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Network and Security Optimization in Telecommunication
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Scikit-Learn to Solve Regression Machine Learning Problems
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Carbon Aware Computing for GenAI Developers
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Secure AI Systems Across Lifecycle Stages
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Approximation Algorithms
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Basic Image Classification with TensorFlow
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Reinforcement Learning for Trading Strategies
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Become AI-Ready: Deep Learning Fundamentals
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AWS Certified AI Practitioner
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Machine Translation
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Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators
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Beginner
3h ago
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