A leading expert in childhood development makes the case for why self-directed learning — "unschooling" — is the best way to get kids to learn. "All kids love learning. Most don't love school. That's a disconnect we've avoided discussing—until this lightning bolt of a book. If you've ever wondered why your curious kid is turning into a sullen slug at school, Peter Gray's Free to Learn has the answer. He also has the antidote." —Lenore Skenazy, author of Free-Range Kids In Free to Learn, developmental psychologist Peter Gray argues that in order to foster children who will thrive in today's constantly changing world, we must entrust them to steer their own learning and development. Drawing on evidence from anthropology, psychology, and history, he demonstrates that free play is the primary means by which children learn to control their lives, solve problems, get along with peers, and become emotionally resilient. A brave, counterintuitive proposal for freeing our children from the shackles of the curiosity-killing institution we call school, Free to Learn suggests that it's time to stop asking what's wrong with our children, and start asking what's wrong with the system. It shows how we can act—both as parents and as members of society—to improve children's lives and to promote their happiness and learning.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Tap into your natural ability to create! Engaging, proven exercises for developing creativity Priceless resource for teachers, artists, actors, everyone Artist and educator Corita Kent inspired generations of artists, and the truth of her words "We can all talk, we can all write, and if the blocks are removed, we can all draw and paint and make things" still shines through. This revised edition of her classic work Learning by Heart features a new foreword and a chart of curriculum standards. Kent's original projects and exercises, developed through more than 30 years as an art teacher and richly illustrated with 300 thought-provoking images, are as inspiring and as freeing today as they were during her lifetime. Learn how to challenge fears, be open to new directions, recognize connections between objects and ideas, and much more in this remarkable, indispensable guide to freeing the creative spirit within all of us. With new material by art world heavyweights Susan Friel and Barbara Loste, Learning by Heart brings creative inspiration into the 21st century!

We say we're free in Christ, but many of us are still living in captivity--to fear, anger, shame, isolation, unforgiveness, and control. We're good at faking it around others, but we're exhausted by the ruse. Andi Andrew wants women to break free of their self-imposed prisons and live the lives that are rightly theirs in Christ. Sharing her own intentional journey of finding true freedom by surrendering control of her heart and life to the God who welcomed her with open arms, Andrew encourages women to give their pain and brokenness to Jesus. She shows them how to purposefully take captive the lies they have believed and replace them with God's truth. Compassionate and biblically based, She Is Free is an invitation to women to step fully into the love that sets them free.

This edited volume explores, investigates and analyses Free Learning – an innovative approach to student-directed learning which seeks to challenge educational norms from within. The volume is framed by a recognition of the urgent need for transformation of our educational systems. In traditional education, students work through a teacher-directed linear syllabus, at a pace dictated by the teacher, with summative assessment hurdles at too-frequent intervals. Progression and direction are determined solely by the teacher. In Free Learning, students determine their own learning pathway through a non-linear syllabus, which can be visualised as a mind map. Students may then complete as many units as they either have time for or are interested in, moving from one unit to another on the basis of having formatively satisfied the demands of each individual unit. This volume showcases the value and potential of Free Learning in contemporary practice and is intended to bridge theory and practice. The structure of the book reflects this complementary fit, with contributions from practitioners describing Free Learning as a learning and teaching tool in a range of educational settings, subjects and age-ranges. It also contains qualitative and quantitative analyses by researchers exploring the uptake of Free Learning and students’ responses to the methodology. Researchers and educators who are interested in student-directed methodologies, especially in Asia, will find that the practical accounts and analyses of Free Learning contained within provide much food for thought with regard to redefining student learning.

Explains the most common food allergens and gluten, offers tips for adapting recipes, and provides recipes for meals, snacks, and desserts.

"Educator advises those who want to improve career possibilities because they do not have college degrees or feel trapped in a job or situation beneath their capabilities. He presents ways to take advantage of new opportunities available outside traditional university settings that value the "hidden credentials" of people's knowledge and skills learned from personal and work-related experiences"--