Full-Stack Machine Learning: A Practical Guide to Building AI Web Applications with Python, Keras 3, and TensorFlow.js 4
En stock
0.42 kg
Sí
Nuevo
Amazon
- Zero-to-hero guidance: Start from absolute basics and build up your skills in Python, Keras, and TensorFlow.js, one simple step at a time.
- Practical, real-world projects: Learn by doing with fun, achievable projects—like image classification, sentiment analysis, and interactive web apps you can actually share with friends.
- Confidence-building approach: Every chapter is packed with gentle explanations, encouraging advice, and troubleshooting tips to keep you moving forward, even when mistakes happen.
- End-to-end workflow: See how professional developers collect data, train models, and deploy them as real AI-powered web applications—in the browser and beyond.
- Modern, in-demand skills: Master the tools and concepts top employers look for, including deep learning, web deployment, data science in the browser, and full-stack machine learning.
- You’re a complete beginner or early learner wanting to break into AI and web development.
- You want practical experience—not just theory or overwhelming math.
- You’re ready to turn curiosity into capability and build projects that truly work.
- Beginner-friendly machine learning projects: Written in plain English, with all jargon gently explained.
- Full-stack development made simple: Bridge the worlds of Python and JavaScript with clear, actionable steps.
- Mistakes are normal—progress is celebrated: This book normalizes challenges and shows you how to turn setbacks into learning opportunities.
- All the code you need: Copy, adapt, and expand on real examples designed for success.
- Supportive, nurturing style: Feel like you have a mentor guiding you from start to finish.
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