Mastering The Minds Of Machines

Download Mastering The Minds Of Machines PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Mastering The Minds Of Machines book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Mastering Machine Learning Algorithms

Author: Giuseppe Bonaccorso
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-05-25
Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. You will also learn how to use Keras and TensorFlow to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need. What you will learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques Who this book is for This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.
Mastering the Mind Within

This book is a practical, compassionate guide for anyone seeking greater confidence, clarity, and resilience. In a world filled with noise, comparison, and doubt, it helps readers reconnect with their inner strength and become masters of their minds. Through relatable stories, simple exercises, and research-backed techniques, it empowers you to rewire negative beliefs, embrace failure as growth, and build habits that support long-term emotional and mental well-being. Topics include self-compassion, goal-setting, mindfulness, body-mind alignment, and creating supportive environments. Whether you're facing a fear, navigating change, or just trying to feel more grounded, this book offers real-world tools to shift your mindset and transform self-doubt into self-trust. With flexible chapters and actionable steps, it invites you to begin wherever you are and grow steadily into the person you already have the potential to become. It’s not about becoming perfect—it’s about becoming your own greatest ally, one confident step at a time.
Mind as Machine

Author: Margaret A. Boden
language: en
Publisher: Oxford University Press
Release Date: 2006
The development of cognitive science is one of the most remarkable and fascinating intellectual achievements of the modern era. It brings together psychology, neuroscience, artificial intelligence, computing, philosophy, linguistics, and anthropology in the project of understanding the mind by modelling its workings. Oxford University Press now presents a masterful history of cognitive science, told by one of its most eminent practitioners.