Applied Reinforcement Learning (MEAP 4) by Hadi Aghazadeh (.ePUB)+
File Size: 22.1 MB
Applied Reinforcement Learning: Business optimization and LLM fine-tuning (MEAP 4) by Hadi Aghazadeh
Requirements: .ePUB, .PDF reader, 22.1 MB
Overview: Optimize business processes, people, and resources using AI and the power of Reinforcement Learning. Whether you’re finding the best delivery route, establishing efficient schedules, or maximizing profit with dynamic pricing, success in business can come down to the right optimizations. AI tools like large language models can help. When you tune them to your specific business data, they really start to shine! Applied Reinforcement Learning teaches the essentials of business optimization using reinforcement learning and AI models through relevant and useful business applications. You’ll apply RL to supply chains, marketing and ad campaigns, logistics, and even optimizing AI chatbots. Graphics, code samples, and math-lite explanations demonstrate the core theories of RL in an intuitive and illustrative way. Reinforcement learning models develop through trial and error, exploring their environment and learning from successes and mistakes. This powerful AI approach can easily be turned to automatically optimizing business processes like pricing, logistics, and customer engagement. In Applied Reinforcement Learning you’ll bring RL to solve common yet practical industry challenges. You’ll discover both the algorithms that underpin RL and how to build the simulation environments you’ll need to train custom models. For readers comfortable with business processes and intermediate level programming. No advanced math or specialist AI knowledge is required.
Genre: Non-Fiction > Tech & Devices
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