Sebastian Thrun

The Five Forces reveals how technology is unleashing forces that will forever alter our lives, politics, and society. Learn more about nanotechnology, transhumanism, the future of space exploration and colonization, super human computers, and so much more! Discover what lies in our future: How will humans change as we merge with our machines, embracing transhumanism?What happens when intelligent algorithms make all the decisions?Should we connect our brains directly to the Internet?And are we entering an age of simulated realities? The Five Forces takes you on a journey to see what the most brilliant minds of our age are dreaming up. Hoffman reveals how new scientific breakthroughs and business ventures are poised to reshape our lives and turn science fiction into fact. With scientists in Japan creating humanoid robots, Silicon Valley biohackers boosting their IQs, and Chinese labs developing human-monkey chimeras, Hoffman gives an inside look at the limits of what’s possible today and the impact these developments will have. Mass Connectivity What happens when brain chips connect our minds directly to the internet? Will we be able to boost our IQs, exchange memories, and communicate with our thoughts? Or will this turn into a nightmare, with corporations reading our minds, hackers overwriting our identities, and governments controlling our actions? Bio Convergence Now that we can decode the building blocks of life and create new lifeforms that never existed before, what comes next? Will we conquer disease, resurrect extinct species, develop superior plants and animals, create DNA-edited babies, and even spawn other intelligent beings? Human Expansionism Is it our manifest destiny to colonize Mars and extend the human race beyond the limits of our solar system? How will technologies like space travel, new materials, and nanotech transform our civilization and open up new horizons we never imagined possible? Deep Automation As our machines become capable enough to do every job better, faster, and cheaper, how will this affect society? Will we wind up delegating our most important decisions to data crunching algorithms? And does this mean our machines will end up running our economies, our corporations, and even our lives? Intelligence Explosion As soon as we create a superintelligence that far surpasses human capabilities, what will happen to us? Will we be able to control our machines, or will they eventually control us? Are we headed for a paradise of plenty, where our technology eliminates hunger, disease, poverty, and war? Or will this be the end of our reign as the rulers of the planet?

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesThird edition of the bestselling, widely acclaimed Python machine learning bookClear and intuitive explanations take you deep into the theory and practice of Python machine learningFully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practicesBook DescriptionPython Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself. Updated for TensorFlow 2.0, this new third edition introduces readers to its new Keras API features, as well as the latest additions to scikit-learn. It's also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs. Finally, this book also explores a subfield of natural language processing (NLP) called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents. This book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. What you will learnMaster the frameworks, models, and techniques that enable machines to 'learn' from dataUse scikit-learn for machine learning and TensorFlow for deep learningApply machine learning to image classification, sentiment analysis, intelligent web applications, and moreBuild and train neural networks, GANs, and other modelsDiscover best practices for evaluating and tuning modelsPredict continuous target outcomes using regression analysisDig deeper into textual and social media data using sentiment analysisWho this book is forIf you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for anyone who wants to teach computers how to learn from data. Table of ContentsGiving Computers the Ability to Learn from DataTraining Simple Machine Learning Algorithms for ClassificationA Tour of Machine Learning Classifiers Using scikit-learnBuilding Good Training Datasets - Data PreprocessingCompressing Data via Dimensionality ReductionLearning Best Practices for Model Evaluation and Hyperparameter TuningCombining Different Models for Ensemble LearningApplying Machine Learning to Sentiment AnalysisEmbedding a Machine Learning Model into a Web ApplicationPredicting Continuous Target Variables with Regression AnalysisWorking with Unlabeled Data - Clustering AnalysisImplementing a Multilayer Artificial Neural Network from ScratchParallelizing Neural Network Training with TensorFlow(N.B. Please use the Look Inside option to see further chapters)

A scientist who has spent a career developing Artificial Intelligence takes a realistic look at the technological challenges and assesses the likely effect of AI on the future.How will Artificial Intelligence (AI) impact our lives? Toby Walsh, one of the leading AI researchers in the world, takes a critical look at the many ways in which "thinking machines" will change our world.Based on a deep understanding of the technology, Walsh describes where Artificial Intelligence is today, and where it will take us.·Will automation take away most of our jobs? ·Is a "technological singularity" near? ·What is the chance that robots will take over? ·How do we best prepare for this future? The author concludes that, if we plan well, AI could be our greatest legacy, the last invention human beings will ever need to make.