Introduction to Machine Learning
Learn the fundamentals of Machine Learning, including supervised and unsupervised learning, and how AI learns from data. Ideal for beginners starting their AI & ML journey.
βThis book helped me master AI & ML with Python. The deep learning section was especially powerful, and I can now build AI models from scratch!β
Master AI & ML from scratch, explore deep learning techniques, and build projects with Python. Learn the best way to start your AI journey and dive into Automated ML and Time-Series Analysis.
*Machine Learning with Python 2025* is available in French, German, and Spanish to help you master AI & ML concepts in your preferred language.
Explore fundamental concepts, advanced techniques, and real-world applications in this comprehensive guide.
Learn the fundamentals of Machine Learning, its types, and key concepts.
A guide to installing Python, setting up Jupyter Notebooks, and configuring essential libraries.
Understand how to clean, preprocess, and organize datasets for model training.
Step-by-step guide to creating ML models using Python and scikit-learn.
Explore advanced ML techniques such as ensemble methods, SVMs, and more.
Learn to deploy ML models using Flask, FastAPI, and cloud services.
Master essential topics from our guide, from Python setup to advanced ML techniques and ethical AI practices.
Learn the fundamentals of Machine Learning, including supervised and unsupervised learning, and how AI learns from data. Ideal for beginners starting their AI & ML journey.
Get started with Python for AI development. Learn how to install Python, set up Jupyter Notebooks, and configure essential ML libraries.
Discover how to clean and preprocess data for machine learning models. Learn about feature engineering, normalization, and data augmentation techniques.
Master data visualization techniques using Python libraries like Matplotlib and Seaborn to interpret model results effectively.
Explore advanced ML techniques such as ensemble methods, hyperparameter tuning, and deep learning frameworks for improved model accuracy.
Understand the importance of ethical AI practices. Learn about algorithmic bias, fairness in AI models, and responsible AI development techniques.
Select the perfect edition to dive into Artificial Intelligence & Machine Learning with expert guidance. Learn everything from AI Python for beginners to Deep learning, Automated ML, and more.
See how learners have transformed their AI & ML skills with Machine Learning with Python 2025.
βAI always seemed complex, but 'Machine Learning with Python 2025' made it so easy to understand. Now, I'm building my own models using Python and AutoML techniques with confidence!β
βAs a beginner, I struggled to grasp AI concepts until I found this book. The clear explanations and hands-on projects helped me master deep learning and Python coding for AI.β
βI've taken multiple AI courses, but this book explains concepts in a way that truly clicks. The practical exercises on automated ML, time-series analysis, and Python coding are invaluable.β
βThis book is the best way to learn AI & ML from scratch! The chapters on model deployment and responsible AI are essential for anyone serious about AI development.β
βA fantastic guide for AI Python beginners! I built my first sentiment analysis project with NLP and learned how to automate ML workflows using Python libraries.β
βI loved the chapter on time-series analysis. Using Python to forecast trends was a game changer for my finance projects.β
Find answers to common questions about Machine Learning with Python 2025 and how it can help you master AI & ML concepts.
"This book made AI & ML so simple to understand. Now, Iβm building my own AI models with Python!"