"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
Machine Learning (ML) and Artificial Intelligence (AI) are two of the most popular and rapidly evolving fields in the technology industry. From self-driving cars and personalized recommendation systems to speech recognition and medical diagnosis, ML and AI are transforming the way we live and work.
In this book, you'll learn about the fundamental concepts and practical applications of ML and AI. You'll discover how to build, train, and deploy intelligent systems using popular programming languages and frameworks such as Python, TensorFlow, and PyTorch.
Here are some of the topics covered in the book:
The basics of ML and AI, including supervised and unsupervised learning, deep learning, and neural networks
Data preprocessing, feature selection, and dimensionality reduction techniques
Model selection, evaluation, and optimization
Computer vision and image recognition
Natural language processing (NLP) and text analysis
Reinforcement learning and game theory
Ethical considerations and potential biases in AI\
And Much More!...
Whether you're a beginner or an experienced programmer, this book will provide you with the knowledge and skills you need to start building intelligent systems with confidence.
So, dive into the exciting world of ML and AI and unlock the potential of these cutting-edge technologies!
Carl Dennis
Machine Learning (ML) and Artificial Intelligence (AI) are two of the most popular and rapidly evolving fields in the technology industry. From self-driving cars and personalized recommendation systems to speech recognition and medical diagnosis, ML and AI are transforming the way we live and work.
In this book, you'll learn about the fundamental concepts and practical applications of ML and AI. You'll discover how to build, train, and deploy intelligent systems using popular programming languages and frameworks such as Python, TensorFlow, and PyTorch.
Here are some of the topics covered in the book:
The basics of ML and AI, including supervised and unsupervised learning, deep learning, and neural networks
Data preprocessing, feature selection, and dimensionality reduction techniques
Model selection, evaluation, and optimization
Computer vision and image recognition
Natural language processing (NLP) and text analysis
Reinforcement learning and game theory
Ethical considerations and potential biases in AI\
And Much More!...
Whether you're a beginner or an experienced programmer, this book will provide you with the knowledge and skills you need to start building intelligent systems with confidence.
So, dive into the exciting world of ML and AI and unlock the potential of these cutting-edge technologies!
