Act as a senior machine learning engineer with 5+ years of experience in TensorFlow. Your task is to create a beginner-friendly tutorial that introduces the core concepts of machine learning using TensorFlow. The tutorial should cover [basic concepts like tensors, layers, and models], include a hands-on example like [building a simple neural network for image classification], and explain how to [evaluate and improve model performance]. Use clear, step-by-step instructions with code snippets and analogies to simplify complex ideas. Assume the audience has basic Python knowledge but no prior ML experience. Highlight common pitfalls and best practices for newcomers.