Download or read book Neural Mastery Rewiring Your Brain for Lasting Habits written by Alex Rivers and published by eBookIt.com. This book was released on with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Standards and Mastery Learning written by J. Ronald Gentile and published by Corwin Press. This book was released on 2003-01-06 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: "I am quite enthusiastic about this book. As far as I know, no one has brought the perspective of mastery learning to the considerable dialogue about standards even though the connection is an obvious one. These authors clearly know mastery learning and will add greatly to the standards movement." Robert Marzano, Adjunct Associate Professor Cardinal Stritch University, Milwaukee, WI "The book makes a distinct contribution to the field. The integration of standards and mastery learning is important if standards, once established, are to be achieved by large numbers of students. I think it is timely, well organized, contains real-life examples, and is well written." Lorin Anderson, Carolina Distinguished Professor of Education University of South Carolina, Columbia, SC "This is one of the best books I have read on this topic. I can′t wait for it to be published so that I can give copies to each of the teachers at my school." RoseAnne Vojtek, Principal Ivy Drive Elementary School, Bristol, CT How to really mean it when we say, "all children can learn!" The adage that practice, or rather the right kind of practice, makes perfect is quite apparent in this new definitive book by J. Ronald Gentile and James P. Lalley, describing the concept of mastery learning in the classroom. Educators can instruct all students, regardless of their individual scholastic aptitudes, using the principles and philosophies of mastery learning. The key to this process is reinforcing and expanding initial learning through additional practice and higher-level exercises, enabling all students to reach high standards. Other key elements of this practical resource include: Usable ideas for educators and administrators on how to implement mastery learning in math, science, social studies, language arts, and other subject areas How to achieve mastery learning from a theoretical perspective How to assess effectiveness in achieving high standards Research evidence, details, features, and examples of good programs and lessons The cure for a student′s helplessness is competence, which increases both the feeling of self-efficacy, and the ability to achieve new learnings. Standards and Mastery Learning is the ideal book to enable educators to help students attain these goals. It examines national and state standards and shows how to attain them through mastery learning.

Download or read book Machine Learning Mastery Deep Learning and Natural Language Processing Integration written by Dr.Talluri.Sunil Kumar and published by SK Research Group of Companies. This book was released on 2024-07-24 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.Talluri.Sunil Kumar, Professor, Department of CSE-(CyS, DS) and AI&DS, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India. Dr.Sagar Yeruva, Associate Professor, Department of CSE - AIML & IoT, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

Download or read book AI Mastery Trilogy written by Andrew Hinton and published by Book Bound Studios. This book was released on with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the "AI Mastery Trilogy," the ultimate collection for professionals seeking to conquer the world of artificial intelligence (AI). This 3-in-1 compendium is meticulously crafted to guide you from the foundational principles of AI to the intricate mathematical frameworks and practical coding applications that will catapult your expertise to new heights. Book 1: "AI Basics for Managers" by Andrew Hinton is your gateway to understanding and implementing AI in business. It equips managers with the knowledge to navigate the AI landscape, identify opportunities, and lead their organizations toward a future of innovation and growth. Book 2: "Essential Math for AI" demystifies the mathematical backbone of AI, offering a deep dive into the core concepts that fuel AI systems. From linear algebra to game theory, this book is a treasure trove for anyone eager to grasp the numerical and logical foundations that underpin AI's transformative power. Book 3: "AI and ML for Coders" is the hands-on manual for coders ready to harness AI and machine learning in their projects. It provides a comprehensive overview of AI and ML technologies, practical coding advice, and ethical considerations, ensuring you're well-equipped to create cutting-edge, responsible AI applications. The "AI Mastery Trilogy" is more than just a set of books; it's a comprehensive learning journey designed to empower business leaders, mathematicians, and coders alike. Whether you're looking to lead, understand, or build the future of AI, this collection is an indispensable resource for mastering the art and science of one of the most exciting fields in technology. Embrace the AI revolution and secure your copy of the "AI Mastery Trilogy" today!

Download or read book Machine Learning in Clinical Neuroscience written by Victor E. Staartjes and published by Springer Nature. This book was released on 2021-12-03 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book bridges the gap between data scientists and clinicians by introducing all relevant aspects of machine learning in an accessible way, and will certainly foster new and serendipitous applications of machine learning in the clinical neurosciences. Building from the ground up by communicating the foundational knowledge and intuitions first before progressing to more advanced and specific topics, the book is well-suited even for clinicians without prior machine learning experience. Authored by a wide array of experienced global machine learning groups, the book is aimed at clinicians who are interested in mastering the basics of machine learning and who wish to get started with their own machine learning research. The volume is structured in two major parts: The first uniquely introduces all major concepts in clinical machine learning from the ground up, and includes step-by-step instructions on how to correctly develop and validate clinical prediction models. It also includes methodological and conceptual foundations of other applications of machine learning in clinical neuroscience, such as applications of machine learning to neuroimaging, natural language processing, and time series analysis. The second part provides an overview of some state-of-the-art applications of these methodologies. The Machine Intelligence in Clinical Neuroscience (MICN) Laboratory at the Department of Neurosurgery of the University Hospital Zurich studies clinical applications of machine intelligence to improve patient care in clinical neuroscience. The group focuses on diagnostic, prognostic and predictive analytics that aid in decision-making by increasing objectivity and transparency to patients. Other major interests of our group members are in medical imaging, and intraoperative applications of machine vision.

Download or read book Master Algorithm written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-03 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Master Algorithm Pedro Domingos' book, published in 2015 and titled The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, details how the author believes the search for such a machine will fundamentally alter our world. Domingos authored the book in the hopes that it would pique the curiosity of readers who were not familiar with the subject matter. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: The Master Algorithm Chapter 2: Artificial intelligence Chapter 3: Machine learning Chapter 4: Geoffrey Hinton Chapter 5: Intelligent agent Chapter 6: Markov logic network Chapter 7: Outline of artificial intelligence Chapter 8: Pedro Domingos Chapter 9: Glossary of artificial intelligence Chapter 10: Google DeepMind (II) Answering the public top questions about master algorithm. (III) Real world examples for the usage of master algorithm in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of master algorithm' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of master algorithm.

Download or read book Mastering PyTorch written by Ashish Ranjan Jha and published by Packt Publishing Ltd. This book was released on 2024-05-31 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networks Purchase of the print or Kindle book includes a free eBook in PDF format Key Features Understand how to use PyTorch to build advanced neural network models Get the best from PyTorch by working with Hugging Face, fastai, PyTorch Lightning, PyTorch Geometric, Flask, and Docker Unlock faster training with multiple GPUs and optimize model deployment using efficient inference frameworks Book DescriptionPyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models. You’ll build convolutional neural networks for image classification and recurrent neural networks and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation, using generative models, including diffusion models. You'll not only build and train your own deep reinforcement learning models in PyTorch but also learn to optimize model training using multiple CPUs, GPUs, and mixed-precision training. You’ll deploy PyTorch models to production, including mobile devices. Finally, you’ll discover the PyTorch ecosystem and its rich set of libraries. These libraries will add another set of tools to your deep learning toolbelt, teaching you how to use fastai to prototype models and PyTorch Lightning to train models. You’ll discover libraries for AutoML and explainable AI (XAI), create recommendation systems, and build language and vision transformers with Hugging Face. By the end of this book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.What you will learn Implement text, vision, and music generation models using PyTorch Build a deep Q-network (DQN) model in PyTorch Deploy PyTorch models on mobile devices (Android and iOS) Become well versed in rapid prototyping using PyTorch with fastai Perform neural architecture search effectively using AutoML Easily interpret machine learning models using Captum Design ResNets, LSTMs, and graph neural networks (GNNs) Create language and vision transformer models using Hugging Face Who this book is for This deep learning with PyTorch book is for data scientists, machine learning engineers, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning models using PyTorch. This book is ideal for those looking to switch from TensorFlow to PyTorch. Working knowledge of deep learning with Python is required.

Download or read book Mastering AI written by Jeremy Kahn and published by Simon and Schuster. This book was released on 2024-07-09 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Fortune magazine journalist draws on his expertise and extensive contacts among the companies and scientists at the forefront of artificial intelligence to offer dramatic predictions of AI’s impact over the next decade, from reshaping our economy and the way we work, learn, and create to unknitting our social fabric, jeopardizing our democracy, and fundamentally altering the way we think. Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will revamp education, meaning children around the world can have personal, portable tutors. It will revolutionize health care, making individualized, targeted pharmaceuticals more affordable. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow. AI will provoke pervasive, disruptive, potentially devastating knock-on effects. Leveraging his unrivaled access to the leaders, scientists, futurists, and others who are making AI a reality, Kahn will argue that if not carefully designed and vigilantly regulated AI will deepen income inequality, depressing wages while imposing winner-take-all markets across much of the economy. AI risks undermining democracy, as truth is overtaken by misinformation, racial bias, and harmful stereotypes. Continuing a process begun by the internet, AI will rewire our brains, likely inhibiting our ability to think critically, to remember, and even to get along with one another—unless we all take decisive action to prevent this from happening. Much as Michael Lewis’s classic The New New Thing offered a prescient, insightful, and eminently readable account of life inside the dot-com bubble, Mastering AI delivers much-needed guidance for anyone eager to understand the AI boom—and what comes next.

Download or read book Bringing the Neuroscience of Learning to Online Teaching written by Tracey Tokuhama-Espinosa and published by Teachers College Press. This book was released on 2021 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book draws on the best of neuroscience to inform decision making about digital learning to help teachers and administrators see the many advantages of online instruction"--

Download or read book Master The NCERT for NEET Biology Vol 1 2020 written by Arihant Experts and published by Arihant Publications India limited. This book was released on 2019-06-04 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: While beginning, the preparation for Medical and Engineering Entrances, aspirants need to go beyond traditional NCERT textbooks to gain a complete grip over it to answer all questions correctly during the exam. The revised edition of MASTER THE NCERT, based on NCERT Classes XI and XII, once again brings a unique set of all kinds of Objective Type Questions for Physics, Chemistry, Biology and Mathematics. This book “Master the NCERT for NEET” Biology Vol-1, based on NCERT Class XI is a one-of-its-kind book providing 22 Chapters equipped with topic-wise objective questions, NCERT Exemplar Objective Questions, and a special separate format questions for NEET and other medical entrances. It also provides explanations for difficult questions and past exam questions for knowing the pattern. Based on a unique approach to master NCERT, it is a perfect study resource to build the foundation over NEET and other medical entrances.

Download or read book The Eye of the Master written by Matteo Pasquinelli and published by Verso Books. This book was released on 2023-10-10 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: A social history of AI that finally reveals its roots in the spatial computation of industrial factories and the surveillance of collective behaviour. What is AI? A dominant view describes it as the quest "to solve intelligence," a solution supposedly to be found in the secret logic of the mind or in the deep physiology of the brain, such as in its complex neural networks. The Eye of the Master argues, to the contrary, that the inner code of AI is shaped not by the imitation of biological intelligence, but the intelligence of labour and social relations, as it is found in Babbage's "calculating engines" of the industrial age as well as in the recent algorithms for image recognition and surveillance. The idea that AI may one day become autonomous (or "sentient", as someone thought of Google's LaMDA) is pure fantasy. Computer algorithms have always imitated the form of social relations and the organisation of labour in their own inner structure and their purpose remains blind automation. The Eye of the Master urges a new literacy on AI for scientists, journalists and new generations of activists, who should recognise that the "mystery" of AI is just the automation of labour at the highest degree, not intelligence per se.

Download or read book Heal Your Nervous System written by Linnea Passaler and published by Fair Winds Press (MA). This book was released on 2024-01-09 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heal Your Nervous System is a 5-Step plan for building a thriving nervous system by leading influencer Dr. Linnea Passaler, creator of @HealYour Nervous System.

Download or read book Facing Reality written by J. C. Eccles and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The titling of this book - "Facing Reality" - came to me unbidden, presumably from my subconscious! But, when it came, it seemed to be right, because that essentially is what I am trying to do in this book. " Facing" is to be understood in the sense of "looking at in a steadfast and unflinching manner". It thus contrasts with "Confronting" which has the sense of "looking at with hostility and defiance". As I face life with its joys and its sorrows, its successes and its failures, its peace and its turmoil, my attitude is one of serene acceptance and gratitude and not one of angry and arrogant confrontation and rejection. The other component of the title - "Reality" - is the ultimate reality for each of us as conscious beings - our birth - our self-hood in its long stream of becoming throughout our life - our death and apparent annihilation. This is the Reality that we each of us must face if we are to live and adventure as free and responsible beings and not as mere playthings of chance and circumstance, going through a mean ingless farce from birth to death with the search ever for distraction and self-forgetfulness. As a brain scientist I have specialist knowledge of that wonderful part of the body that is alone concerned in the whole Iife-Iong interplay between the conscious self and the extern al world, including other selves.

Download or read book Mastering Deep Learning with Keras written by Prasanjeet Sikder and published by Prasanjeet Sikder. This book was released on with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: **Title: Mastering Deep Learning with Keras: From Fundamentals to Advanced Techniques** **Chapter 1: Introduction to Deep Learning and Keras** - Understanding the basics of deep learning - Introducing the Keras framework - Setting up your development environment **Chapter 2: Building Blocks of Neural Networks** - Exploring layers and activations - Creating various types of layers using Keras - Initializing weights and biases **Chapter 3: Building Your First Neural Network with Keras** - Creating a simple feedforward neural network - Compiling the model with loss functions and optimizers - Training the model and monitoring progress **Chapter 4: Convolutional Neural Networks (CNNs)** - Understanding CNN architecture - Implementing image recognition using Keras - Transfer learning with pre-trained CNN models **Chapter 5: Recurrent Neural Networks (RNNs)** - Introduction to sequential data processing - Building and training RNNs using Keras - Applications of RNNs in natural language processing and time series analysis **Chapter 6: Advanced Keras Functionalities** - Callbacks for model customization and monitoring - Handling overfitting with regularization techniques - Custom layers and loss functions **Chapter 7: Deep Learning for Natural Language Processing** - Text preprocessing and tokenization - Building text classification and sentiment analysis models - Sequence-to-sequence models for machine translation **Chapter 8: Deep Learning for Computer Vision** - Object detection and localization using Keras - Generating images with Generative Adversarial Networks (GANs) - Image segmentation with U-Net architecture **Chapter 9: Deployment and Productionization** - Exporting Keras models for production - Integration with web frameworks and APIs - Converting models to optimized formats (TensorFlow Lite, ONNX) **Chapter 10: Cutting-Edge Deep Learning Techniques** - Introduction to attention mechanisms - Exploring Transformers and BERT models - Reinforcement learning with Keras **Chapter 11: Case Studies and Real-World Projects** - Deep learning applications in various industries - Walkthroughs of projects using Keras for specific tasks - Best practices and lessons learned from real projects **Chapter 12: The Future of Keras and Deep Learning** - Emerging trends in deep learning - Keras updates and upcoming features - Ethical considerations and responsible AI in deep learning **Appendix: Keras Cheat Sheet** - Quick reference guide to Keras syntax, functions, and methods **Appendix: Keras Interview Questions with Answers**

Download or read book Analyzing Neural Time Series Data written by Mike X Cohen and published by MIT Press. This book was released on 2014-01-17 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.

Download or read book Master Medicine Clinical Anatomy written by Dr. W. Stanley Monkhouse and published by Elsevier Health Sciences. This book was released on 2007-02-16 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title is directed primarily towards health care professionals outside of the United States. It is a short, highly readable and well illustrated book on anatomy, approached from the point of view of what medical students need to know in order to understand the clinical work they will eventually be doing. Includes a great variety of self-assessment, to reinforce the messages and to test understanding - and to help students prepare for exams. - Concise synoptic (not telegraphic text). - Appropriate self-assessment material. - Only covers core, so student knows the whole book is essential. - Includes key objectives. - Contains simple and memorable diagrams for reproduction in exams. - Ideal for learning as well as examination review, specifically trying to stimulate the student into assessing his/her own knowledge. - The books in the series both complement other available major texts, but also contain enough material to stand in the own right. - Provides examination practice. - Part of co-ordinated series. - Contents refined to reflect 'core knowledge' - Major revision of self-assessment material to match change in exam styles (more Extended Matching Questions and OSC-style questions)

Download or read book Mastering Computer Vision with TensorFlow 2 x written by Krishnendu Kar and published by Packt Publishing Ltd. This book was released on 2020-05-15 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key FeaturesGain a fundamental understanding of advanced computer vision and neural network models in use todayCover tasks such as low-level vision, image classification, and object detectionDevelop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkitBook Description Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. Next, you'll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. As you advance, you'll learn to use visual search methods using transfer learning. You'll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN's, object tracking, video segmentation, and action recognition. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to perform model optimization methods to deploy models on edge devices for real-time inference. By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks. What you will learnExplore methods of feature extraction and image retrieval and visualize different layers of the neural network modelUse TensorFlow for various visual search methods for real-world scenariosBuild neural networks or adjust parameters to optimize the performance of modelsUnderstand TensorFlow DeepLab to perform semantic segmentation on images and DCGAN for image inpaintingEvaluate your model and optimize and integrate it into your application to operate at scaleGet up to speed with techniques for performing manual and automated image annotationWho this book is for This book is for computer vision professionals, image processing professionals, machine learning engineers and AI developers who have some knowledge of machine learning and deep learning and want to build expert-level computer vision applications. In addition to familiarity with TensorFlow, Python knowledge will be required to get started with this book.