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AI with Python Made Simple : Build Smart Apps That Think
AI with Python Made Build Smart Apps That Think
Unlock the world of artificial intelligence without the overwhelm! In AI with Python Made Simple, acclaimed author Charles Spark demystifies AI development, guiding you step-by-step from foundational concepts to creating intelligent applications that solve real-world problems. Whether you're a beginner programmer or looking to upskill, this hands-on guide equips you with the tools to build smart apps using Python—the language powering today's AI revolution.
Dive into essential topics like machine learning with scikit-learn, deep learning with TensorFlow and PyTorch, computer vision for image classification, natural language processing for chatbots and sentiment analysis, and more. Through 15 practical projects—including predicting house prices, classifying spam emails, segmenting customers with clustering, and deploying AI models to web and desktop apps—you'll gain confidence in data manipulation, model training, ethical AI practices, and scaling for production.
What sets this book
Beginner-Friendly Setup: Easy instructions for installing Anaconda, Jupyter Notebook, and Visual Studio Code, plus overviews of key libraries like NumPy, pandas, and NLTK.Real-World Focus: Explore AI in healthcare, finance, e-commerce, and beyond, with projects on recommender systems, predictive maintenance, and mobile-optimized neural networks.Future-Proof Insights: Coverage of emerging trends like reinforcement learning, generative AI (GANs and diffusion models), TinyML for IoT, and career-building advice.Ethical and Practical: Address bias, fairness, and best practices for production-ready code, complete with appendices on troubleshooting, datasets, and glossary.No prior AI expertise required—just curiosity and a computer. By the end, you'll have a portfolio of AI projects ready to showcase, positioning you for exciting opportunities in this booming field. Perfect for aspiring developers, data enthusiasts, and tech professionals—start building apps that think today!
Unlock the world of artificial intelligence without the overwhelm! In AI with Python Made Simple, acclaimed author Charles Spark demystifies AI development, guiding you step-by-step from foundational concepts to creating intelligent applications that solve real-world problems. Whether you're a beginner programmer or looking to upskill, this hands-on guide equips you with the tools to build smart apps using Python—the language powering today's AI revolution.
Dive into essential topics like machine learning with scikit-learn, deep learning with TensorFlow and PyTorch, computer vision for image classification, natural language processing for chatbots and sentiment analysis, and more. Through 15 practical projects—including predicting house prices, classifying spam emails, segmenting customers with clustering, and deploying AI models to web and desktop apps—you'll gain confidence in data manipulation, model training, ethical AI practices, and scaling for production.
What sets this book
Beginner-Friendly Setup: Easy instructions for installing Anaconda, Jupyter Notebook, and Visual Studio Code, plus overviews of key libraries like NumPy, pandas, and NLTK.Real-World Focus: Explore AI in healthcare, finance, e-commerce, and beyond, with projects on recommender systems, predictive maintenance, and mobile-optimized neural networks.Future-Proof Insights: Coverage of emerging trends like reinforcement learning, generative AI (GANs and diffusion models), TinyML for IoT, and career-building advice.Ethical and Practical: Address bias, fairness, and best practices for production-ready code, complete with appendices on troubleshooting, datasets, and glossary.No prior AI expertise required—just curiosity and a computer. By the end, you'll have a portfolio of AI projects ready to showcase, positioning you for exciting opportunities in this booming field. Perfect for aspiring developers, data enthusiasts, and tech professionals—start building apps that think today!
321 pages, Kindle Edition
Published December 12, 2025
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