"AI/ML Model Architecture with Python" is a detailed guide designed to help readers leverage AI and machine learning for practical applications. The book introduces core ML concepts, covering everything from foundational models to advanced techniq...
"AI/ML Model Architecture with Python" is a detailed guide designed to help readers leverage AI and machine learning for practical applications. The book introduces core ML concepts, covering everything from foundational models to advanced techniques like feature selection and evaluation. With hands-on examples and case studies, readers gain skills to build, train, and deploy AI models in Python.Key sections include:Practical Implementation: Build AI/ML solutions with Python libraries like TensorFlow, PyTorch, and Scikit-learn.Industry Applications: Learn about AI/ML uses in sectors like automotive, finance, and healthcare.Advanced Techniques: Master deep learning, NLP, and computer vision.Business Alignment: Align AI/ML projects with business goals and measure outcomes.Ideal for both beginners and seasoned data scientists, this book equips readers with essential tools to succeed in AI and ML, bridging technical skills with strategic insights.
Tags : AI Model Architecture,Machine Learning with Python,Deep Learning Python,TensorFlow Tutorial,PyTorch for Beginners,Scikit-learn for ML,Artificial Intelligence,Machine Learning Algorithms,Python for Data Science,Feature Selection ML