Machine Learning

Dive deep into machine learning algorithms, neural networks, and deep learning. Learn TensorFlow, PyTorch, and scikit-learn through hands-on projects. Build models that solve real-world problems in computer vision, NLP, and predictive analytics.

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Artificial Intelligence

Ace the AI Engineer Interviews

Artificial Intelligence

Angular Denver ’19: Machine Learning in Angular with TensorFlow.js

Artificial Intelligence

AWS Certified Machine Learning – Specialty (MLS-C01): Exam Preparation

Artificial Intelligence

AWS Foundations: Machine Learning Basics

Artificial Intelligence

AWS Machine Learning and Artificial Intelligence Fundamentals

Artificial Intelligence

Building Deep Learning Models Using Apache MXNet

Artificial Intelligence

Creating Machine Learning Models

Artificial Intelligence

Deploying Machine Learning Solutions

Artificial Intelligence

Deployment Isn’t the Final Step: Monitoring Machine Learning Models in Production Environments

Artificial Intelligence

Designing and Implementing a Data Science Solution on Azure (DP-100): Design and Prepare a Machine Learning Solution

Artificial Intelligence

Developer Tools for AI and Machine Learning

Artificial Intelligence

End-to-End Machine Learning with TensorFlow on Google Cloud

From linear regression to transformer architectures, master the mathematics and code behind modern AI. Build deployable ML models with industry-standard tools and MLOps practices.