El objetivo principal de este libro es dar las herramientas de programación necesarias para resolver problemas computacionalmente a estudiantes de ciencias básicas usando Python.
As businesses race to unlock the full potential of large language models (LLMs), a critical challenge has emerged: How do you connect these tools to real-time, external data to solve real-world problems?
As businesses race to unlock the full potential of large language models (LLMs), a critical challenge has emerged: How do you connect these tools to real-time, external data to solve real-world problems?
This book is your definitive guide to mastering DeepSeek, a leading open-source Large Language Model (LLM), and leveraging its power through practical Python programming.
This book is your definitive guide to mastering DeepSeek, a leading open-source Large Language Model (LLM), and leveraging its power through practical Python programming.
Understanding Python introduces the aspiring programmer to the concepts and skills of programming in Python, the most powerful, easy-to-read programming languages around.
As AI rapidly evolves from passive models to autonomous systems capable of setting goals, reasoning, and acting independently, engineers find themselves at the threshold of a new technological era.
This book is a hands-on, technical guide to building and deploying generative AI models using advanced deep learning architectures like transformers, GANs, VAEs, and diffusion models.
As AI rapidly evolves from passive models to autonomous systems capable of setting goals, reasoning, and acting independently, engineers find themselves at the threshold of a new technological era.
This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks, ensuring fair outcomes, and maintaining transparency in algorithmic processes.
This book is a hands-on, technical guide to building and deploying generative AI models using advanced deep learning architectures like transformers, GANs, VAEs, and diffusion models.
This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks, ensuring fair outcomes, and maintaining transparency in algorithmic processes.
This step-by-step guide is for Data Scientists, ML engineers, and DevOps practitioners who need to turn prototypes into secure, scalable production services on AWS and Google Cloud.
Dieses Buch fuhrt nach einem kurzen Kapitel uber grundlegende Aspekte der Softwaretechnik und deren Realisierung in Go in die Nichtsequentielle und Verteilte Programmierung mit Go ein.
Dieses Buch fuhrt nach einem kurzen Kapitel uber grundlegende Aspekte der Softwaretechnik und deren Realisierung in Go in die Nichtsequentielle und Verteilte Programmierung mit Go ein.
