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AI with Python: Practical Applicaitons & Advanced Techniques: Reactive Publishing
Reactive Publishing
Harness the power of Artificial Intelligence (AI) with Python and develop intelligent systems that drive real-world impact. This comprehensive guide takes you from the fundamentals of AI to advanced techniques, equipping you with the tools to build cutting-edge solutions.
Designed for both beginners and experienced developers, this book covers essential topics such as machine learning, deep learning, natural language processing (NLP), reinforcement learning, and AI-driven automation. Through hands-on projects and practical examples, you'll gain the skills to develop AI applications that analyze data, recognize patterns, and make autonomous decisions.
Key topics
Machine Learning & Deep Learning – Train models for classification, regression, and pattern recognition
Natural Language Processing (NLP) – Build AI systems that understand and process human language
Computer Vision – Develop AI-powered image and video analysis applications
Reinforcement Learning – Teach AI agents to make optimized decisions in dynamic environments
AI Automation – Implement AI-driven automation for business and real-world use cases
Whether you're looking to build AI-powered applications, enhance your data science skills, or advance in the AI field, this book provides the practical knowledge and hands-on experience needed to succeed.
Get started today and take your AI development skills to the next level with AI with Python!
Harness the power of Artificial Intelligence (AI) with Python and develop intelligent systems that drive real-world impact. This comprehensive guide takes you from the fundamentals of AI to advanced techniques, equipping you with the tools to build cutting-edge solutions.
Designed for both beginners and experienced developers, this book covers essential topics such as machine learning, deep learning, natural language processing (NLP), reinforcement learning, and AI-driven automation. Through hands-on projects and practical examples, you'll gain the skills to develop AI applications that analyze data, recognize patterns, and make autonomous decisions.
Key topics
Machine Learning & Deep Learning – Train models for classification, regression, and pattern recognition
Natural Language Processing (NLP) – Build AI systems that understand and process human language
Computer Vision – Develop AI-powered image and video analysis applications
Reinforcement Learning – Teach AI agents to make optimized decisions in dynamic environments
AI Automation – Implement AI-driven automation for business and real-world use cases
Whether you're looking to build AI-powered applications, enhance your data science skills, or advance in the AI field, this book provides the practical knowledge and hands-on experience needed to succeed.
Get started today and take your AI development skills to the next level with AI with Python!
478 pages, Kindle Edition
Published February 1, 2025
2 people are currently reading
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