Build Your First Machine Learning Model with TensorFlow - Step by Step
Artificial Intelligence is everywhere - from healthcare to finance, from self-driving cars to chatbots. At the heart of this revolution is machine learning, and TensorFlow is one of the most powerful tools to make it happen.
Machine Learning with TensorFlow: Build Your First Model is your hands-on guide to understanding machine learning concepts and turning them into working code. Designed for beginners and aspiring developers, this book walks you through every stage of the process - from setting up your environment to deploying models that make real predictions.
Inside, you'll learn:
✔️ The five-step ML workflow: framing problems, preparing data, training models, evaluating results, and deploying to production.
✔️ Building your first linear regression and neural network models with TensorFlow and Keras.
✔️ How to work with images, text, sequences, and tabular data using specialized models like CNNs, RNNs, and LSTMs.
✔️ Data preprocessing, pipelines, and feature engineering to improve accuracy.
✔️ Real-world projects - from predicting housing prices to detecting defects in manufacturing and forecasting energy use.
✔️ Scaling up with GPUs, optimizing performance, and deploying models with TensorFlow Serving, TensorFlow Lite, and TensorFlow.js.
✔️ Ethical and responsible AI practices for fairness, privacy, and sustainability.
Whether you are a student, data enthusiast, or beginner programmer, this book gives you the knowledge and confidence to create your first machine learning models and take the first step into AI development.
