Programming & Software Development

Transform your organization using AI-driven solutions with Microsoft 365 Copilot Adoption: A Practical Guide for Business Leaders and Consultants. This book draws on real-world case studies and insights from Microsoft’s early adopters to provide a practical framework for successful AI integration. It emphasizes the importance of leadership alignment, cultural readiness, and continuous skill development, equipping listeners with the mindset and methods needed to foster innovation and efficiency in an AI-driven workplace.

With the recent generative AI boom, organizations are investing more resources into adapting artificial intelligence into their workloads, making the demand for AI skills higher than ever. With Microsoft Azure leading the pack with services for developing and deploying AI solutions, professionals looking to break into this field would be wise to start their journey by getting certified as an Azure AI Engineer. But Azure's AI-102 exam isn't a piece of cake.

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

Achieving high accuracy in AI systems requires careful consideration of various factors, including data quality, algorithm selection, model complexity, evaluation metrics, domain-specific challenges, and ongoing learning and adaptation. While AI systems have demonstrated remarkable accuracy in many applications, continuous research and development efforts are needed to further improve accuracy and address the challenges associated with real-world deployment.

Reinaldo Aguiar ist ein Forscher und angehender Stratege mit Erfahrung in Software-Engineering, Technologie und Hochfinanz. Seine Karriere konzentrierte sich auf die Verbesserung von Suchtechnologien und den Aufbau von Systemen, die Millionen an Einnahmen für große Konzerne generiert haben.