🔶 Gain a solid understanding of how machine learning models work.
🔶 Build, train, and evaluate your own AI models.
🔶 Develop a complete machine learning pipeline using real-world data.
🔶 Be well-prepared to dive into more advanced AI topics.
More concretely, you will learn:
🔶 AI, Machine Learning, and Deep Learning — why they are booming and how they apply to engineering.
🔶 Key machine learning concepts: data handling, model building, evaluation, and optimization.
🔶 Core algorithms: linear and logistic regression, decision trees, K-nearest neighbors, and support vector machines — all demonstrated with real-world applications.
🔶 Deep learning essentials: how neural networks learn, including building a simple network from scratch.
🔶 Hands-on implementation with PyTorch: data preprocessing, model training, evaluation, and optimization workflows.
🔶 Advanced architectures: introduction to convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
🔶 Practical insights and coding tips based on our hands-on experience working with large datasets and complex models.
Navalapp
Artificial Intelligence. From Scratch to Advanced Models 🚩
🎯 navalapp.com/courses/ai-machine-learning-from-scra…
What will you learn❓
🔶 Gain a solid understanding of how machine learning models work.
🔶 Build, train, and evaluate your own AI models.
🔶 Develop a complete machine learning pipeline using real-world data.
🔶 Be well-prepared to dive into more advanced AI topics.
More concretely, you will learn:
🔶 AI, Machine Learning, and Deep Learning — why they are booming and how they apply to engineering.
🔶 Key machine learning concepts: data handling, model building, evaluation, and optimization.
🔶 Core algorithms: linear and logistic regression, decision trees, K-nearest neighbors, and support vector machines — all demonstrated with real-world applications.
🔶 Deep learning essentials: how neural networks learn, including building a simple network from scratch.
🔶 Hands-on implementation with PyTorch: data preprocessing, model training, evaluation, and optimization workflows.
🔶 Advanced architectures: introduction to convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
🔶 Practical insights and coding tips based on our hands-on experience working with large datasets and complex models.
#ArtificialIntelligence #MachineLearning #DeepLearning #AI #DataScience #PythonProgramming #PyTorch #NeuralNetworks #TechEducation #STEM #LearnAI #LearnMachineLearning #OnlineCourse #Engineering
2 weeks ago | [YT] | 7