Artificial Intelligence (AI) is transforming the way we live and work, and staying informed about the latest advancements in this field is crucial. Whether you're a seasoned AI enthusiast or just getting started, having the right resources at your fingertips can make a world of difference. LiveCarta presents a carefully curated collection of video courses and books on AI, with a special focus on generative AI books. In this article, we'll explore these valuable resources that can enhance your understanding and skills in the world of AI.
So, without further ado, let's explore these valuable resources:
Author: Valentina Alto
Generative AI models and AI language models are at the forefront of AI technology. "Modern Generative AI with ChatGPT and OpenAI Models" by Valentina Alto delves into the inner workings of these models, providing insights into how they function. Whether you're new to generative AI or looking to deepen your knowledge, this book offers a comprehensive guide.
What you will learn:
- Understand generative AI concepts from basic to intermediate levels.
- Focus on the GPT architecture for generative AI models.
- Maximize ChatGPT's potential with effective prompt design.
- Explore real-world applications and use cases of ChatGPT.
- Utilize OpenAI models and features through API calls.
- Build and deploy generative AI systems with Python.
- Leverage Azure infrastructure for enterprise-level use cases.
- Ensure responsible AI and ethics in generative AI systems.
Who Should Read This Book: This book is ideal for individuals interested in boosting productivity, businesspersons looking to empower their organizations with real-world AI applications, data scientists, developers, marketers, and researchers. It assumes a basic understanding of Python, making it accessible to a wide audience.
Author: Michael Bowles
"Machine Learning with Spark and Python" simplifies the complex world of machine learning by focusing on two key algorithms. The second edition introduces Spark, a powerful ML framework from the Apache foundation, making it easier to process large datasets with ordinary Python code.
What you will learn:
- Focus on linear and ensemble methods for effective prediction.
- Understand the mechanisms behind these algorithms.
- Implement machine learning concepts in practical applications.
- Process large datasets efficiently using Spark and Python.
Who Should Read This Book: This book is essential for anyone interested in predictive analytics, whether you're a data scientist, analyst, or business professional. It provides a practical approach to machine learning and predictive modeling.
Author: Kwang-Cheng Chen
"Artificial Intelligence in Wireless Robotics" explores the role of wireless communication technology in enhancing AI for robotics. Authored based on a graduate course at the University of South Florida, this book is suitable for students with prior knowledge in probability, matrix algebra, and basic programming.
What you will learn:
- Integrate AI and wireless factors into robotics.
- Focus on autonomous mobile robots and robots requiring wireless infrastructure.
- Gain insights into multi-disciplinary knowledge required for robotics.
Who Should Read This Book: This book is a valuable resource for those looking to understand the intersection of AI and wireless technology in the field of robotics. It provides a foundation for readers new to robotics and AI.
ALSO READ: Why Choosing to Become an Artificial Intelligence Specialist Can be a Smart Move
Author: Manifold AI Learning
"Deep Learning - Crash Course 2023" is a comprehensive video course that takes you on a journey through the fundamentals of deep learning. With practical exercises and real-world applications, you'll gain a deep understanding of deep neural networks and their applications.
What you will learn:
- Build intuition on deep neural networks.
- Explore essential concepts in deep learning. Understand neural network architecture and design.
- Apply deep learning principles using TensorFlow.
- Ensure responsible AI and ethics in generative AI systems.
Who Should Take This Course: This course is suitable for individuals who want to master deep learning concepts. Whether you're a beginner or looking to deepen your knowledge, this course provides valuable insights and hands-on experience.
Author: Deepika Khanna
Unlock the full potential of Salesforce development with "ChatGPT for Salesforce Development." Learn how to write Apex triggers, batch Apex, test classes, validation rules, and flows using ChatGPT.
What you will learn:
- Write efficient and error-free code.
- Utilize ChatGPT for Salesforce development.
- Build chatbots and integrate them with Salesforce.
- Enhance your problem-solving skills.
Who Should Take This Course: Salesforce admins and developers looking to boost their productivity and enhance their development skills should consider this course. It provides practical knowledge and hands-on experience with ChatGPT.
Author: Clarian North
"Building a ChatGPT AI with JavaScript" is a hands-on course that teaches you how to create your own AI assistant using JavaScript, OpenAI ChatGPT, and modern web development technologies.
What you will learn:
- Create a functional AI-powered application.
- Implement machine learning concepts.
- Build interactive interfaces using React Hooks.
- Integrate ChatGPT into your projects.
Who Should Take This Course: This course is perfect for those who want to explore the world of AI and build practical AI-powered applications. It's a fun and informative way to dive into AI development.
Author:Manifold AI Learning
"Deep Learning - Computer Vision for Beginners Using PyTorch" introduces you to the fundamentals of computer vision and deep learning. You'll learn to perform computer vision tasks with PyTorch and Python.
What you will learn:
- Create a functional AI-powered application.
- Implement machine learning concepts.
- Build interactive interfaces using React Hooks.
- Integrate ChatGPT into your projects.
Who Should Take This Course: This course is suitable for beginners in computer vision and deep learning. It covers the basics and provides practical guidance for those new to the field.
In conclusion, LiveCarta's generative AI books collection offers a diverse range of resources to enhance your AI knowledge and skills. Whether you prefer books or video courses, these resources cater to different learning preferences. Dive into the world of Generative AI Books, explore their fascinating insights, and stay ahead in this ever-evolving field of artificial intelligence.
Don't forget to explore our wide collection of the most relevant titles from leading-edge publishers in our catalog. There's a wealth of knowledge waiting for you to discover. Happy learning with LiveCarta's Generative AI Books!
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