Learning The Basics


Learning The Basics
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Learning Basic


Learning Basic
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Author : Don Inman
language : en
Publisher: Prentice Hall
Release Date : 1991

Learning Basic written by Don Inman and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.


This escellent book/disk combo is the perfect way to learn BASIC programming. A disk includes program samples that readers can adapt to their own programs. With this hands-on approach, users learn how to effectively compose and design useful programs with BASIC.



Informal Learning Basics


Informal Learning Basics
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Author : Saul Carliner
language : en
Publisher: Association for Talent Development
Release Date : 2023-05-26

Informal Learning Basics written by Saul Carliner and has been published by Association for Talent Development this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Business & Economics categories.


Informal Learning Basics provides training and development professionals with guidance and practical lessons on harnessing the vast potential of informal learning in their organizations. While formal training has been the focus of many corporate training programs for the past century or more, much of the actual knowledge and many of the skills workers use in performing their jobs are nonetheless developed informally. Informal Learning Basics will assist you in recognizing and utilizing the informal learning possibilities in your company, and will show you how to create a framework of highly cost-effective training opportunities and a culture in which your employees are able to learn and grow in an efficient and unobtrusive way. In addition to providing an in-depth study of the concepts of informal learning, Informal Learning Basics also offers: -an analysis of how workers develop much of the knowledge for their jobs informally -real-world case examples of informal learners -an examination of the nine principles which govern informal learning in the workplace -suggestions on how to blend formal and informal learning in your organization -descriptions of specific activities for both group and individual informal learning opportunities - a discussion of the importance of support personnel in creating and maintaining effective informal learning programs - an exploration of the significant role played by technology in informal learning - information on the importance of providing a codified framework for informal learning in your organization - a consideration of the fact that traditional approaches to evaluating training are often ineffective when evaluating informal learning, and suggestions on how to best evaluate informal learning programs. In an era where organizations of all shapes and sizes are increasingly focused on cutting budgets and maximizing the return on their training investment, incorporating informal learning opportunities into your training programs will result in competent and knowledgeable employees, and great ROI for your company. With its wealth of insight and information on capturing the potential of informal learning and using it to your organization’s advantage, Informal Learning Basics is essential reading for every training and development professional.



Guide To Deep Learning Basics


Guide To Deep Learning Basics
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Author : Sandro Skansi
language : en
Publisher: Springer Nature
Release Date : 2020-01-23

Guide To Deep Learning Basics written by Sandro Skansi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-23 with Computers categories.


This stimulating text/reference presents a philosophical exploration of the conceptual foundations of deep learning, presenting enlightening perspectives that encompass such diverse disciplines as computer science, mathematics, logic, psychology, and cognitive science. The text also highlights select topics from the fascinating history of this exciting field, including the pioneering work of Rudolf Carnap, Warren McCulloch, Walter Pitts, Bulcsú László, and Geoffrey Hinton. Topics and features: Provides a brief history of mathematical logic, and discusses the critical role of philosophy, psychology, and neuroscience in the history of AI Presents a philosophical case for the use of fuzzy logic approaches in AI Investigates the similarities and differences between the Word2vec word embedding algorithm, and the ideas of Wittgenstein and Firth on linguistics Examines how developments in machine learning provide insights into the philosophical challenge of justifying inductive inferences Debates, with reference to philosophical anthropology, whether an advanced general artificial intelligence might be considered as a living being Investigates the issue of computational complexity through deep-learning strategies for understanding AI-complete problems and developing strong AI Explores philosophical questions at the intersection of AI and transhumanism This inspirational volume will rekindle a passion for deep learning in those already experienced in coding and studying this discipline, and provide a philosophical big-picture perspective for those new to the field.



Deep Learning


Deep Learning
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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10

Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.


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.



Beyond The Basic Stuff With Python


Beyond The Basic Stuff With Python
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Author : Al Sweigart
language : en
Publisher: No Starch Press
Release Date : 2020-12-16

Beyond The Basic Stuff With Python written by Al Sweigart and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-16 with Computers categories.


BRIDGE THE GAP BETWEEN NOVICE AND PROFESSIONAL You've completed a basic Python programming tutorial or finished Al Sweigart's bestseller, Automate the Boring Stuff with Python. What's the next step toward becoming a capable, confident software developer? Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, you'll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program--not just in Python but in any language. You'll learn: Coding style, and how to use Python's Black auto-formatting tool for cleaner code Common sources of bugs, and how to detect them with static analyzers How to structure the files in your code projects with the Cookiecutter template tool Functional programming techniques like lambda and higher-order functions How to profile the speed of your code with Python's built-in timeit and cProfile modules The computer science behind Big-O algorithm analysis How to make your comments and docstrings informative, and how often to write them How to create classes in object-oriented programming, and why they're used to organize code Toward the end of the book you'll read a detailed source-code breakdown of two classic command-line games, the Tower of Hanoi (a logic puzzle) and Four-in-a-Row (a two-player tile-dropping game), and a breakdown of how their code follows the book's best practices. You'll test your skills by implementing the program yourself. Of course, no single book can make you a professional software developer. But Beyond the Basic Stuff with Python will get you further down that path and make you a better programmer, as you learn to write readable code that's easy to debug and perfectly Pythonic Requirements: Covers Python 3.6 and higher



E Learning Fundamentals


E Learning Fundamentals
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Author : Diane Elkins
language : en
Publisher: Association for Talent Development
Release Date : 2015-06-01

E Learning Fundamentals written by Diane Elkins and has been published by Association for Talent Development this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-01 with Business & Economics categories.


This ultimate roadmap covers the entire e-learning landscape. Why do we even need e-learning? What is an LMS? How do I write a storyboard? If you’re delving into e-learning and are coming up with more questions than answers, this guide is the high-level overview you’ve been looking for. In this book, e-learning development experts and educators Diane Elkins and Desirée Pinder deliver a comprehensive examination of the e-learning process from the ground up. E-Learning Fundamentals provides the base of knowledge necessary to tackle everything from early concepts of e-learning down to its execution. Throughout, you’ll find vignettes that bring concepts to life as well as checklists and practical tools for designing and developing your first e-learning course. In this book you will: dive into the basics of e-learning design and development explore the e-learning course design and development process—from analysis through evaluation learn to write and storyboard a course, construct test questions, choose media, put the course together, and establish a thorough review process.



The Pocket Basics For English


The Pocket Basics For English
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Author : Lyn Magree
language : en
Publisher: HarperCollins
Release Date : 2017-01-01

The Pocket Basics For English written by Lyn Magree and has been published by HarperCollins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-01 with Education categories.


the bestselling guide for teaching children the fundamentals of English and Maths. the primary aim of Pocket Basics is to build children's self-confidence in their own academic ability and allow them to feel comfortable with learning instead of struggling to learn. From a young age we begin to teach our children the alphabet, along with the numbers one to 10. While we may not realise it at the time, we have begun teaching two of the most important and core subjects of a child's school life - English and Maths. However, if our children do not have a good grasp on these subjects, their confidence - and often their enjoyment of school - can suffer. It goes without saying that a confident student will do better than a non-confident one, and those students who tend to develop a loathing for a subject are generally those who haven't mastered the basics. the Pocket Basics will assist parents in helping their children get the best academic start in life by teaching them the essentials in both English and Maths. the information in the book is designed to cater to the child's own ability to learn, and once a child begins to see positive results, amazing things can happen...



Education


Education
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Author : Kay Wood
language : en
Publisher: Routledge
Release Date : 2011

Education written by Kay Wood and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Education categories.


This is a lively and engaging introduction to education as an academic subject, taking into account both theory and practice. Covering the schooling system, the nature of knowledge and methods of teaching, it analyses the viewpoints of both teachers and pupils.



Deep Learning From The Basics


Deep Learning From The Basics
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Author : Koki Saitoh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-08

Deep Learning From The Basics written by Koki Saitoh and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-08 with Computers categories.


Discover ways to implement various deep learning algorithms by leveraging Python and other technologies Key FeaturesLearn deep learning models through several activitiesBegin with simple machine learning problems, and finish by building a complex system of your ownTeach your machines to see by mastering the technologies required for image recognitionBook Description Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us. Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You'll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models. As you progress through the book, you'll discover backpropagation—an efficient way to calculate the gradients of weight parameters—and study multilayer perceptrons and their limitations, before, finally, implementing a three-layer neural network and calculating multidimensional arrays. By the end of the book, you'll have the knowledge to apply the relevant technologies in deep learning. What you will learnUse Python with minimum external sources to implement deep learning programsStudy the various deep learning and neural network theoriesLearn how to determine learning coefficients and the initial values of weightsImplement trends such as Batch Normalization, Dropout, and AdamExplore applications like automatic driving, image generation, and reinforcement learningWho this book is for Deep Learning from the Basics is designed for data scientists, data analysts, and developers who want to use deep learning techniques to develop efficient solutions. This book is ideal for those who want a deeper understanding as well as an overview of the technologies. Some working knowledge of Python is a must. Knowledge of NumPy and pandas will be beneficial, but not essential.



Learning The Basics Of Home Theater


Learning The Basics Of Home Theater
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Author : Allan Turner
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2013

Learning The Basics Of Home Theater written by Allan Turner and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Home entertainment system categories.


"A book for those who want to setup their own home theater system but aren't sure where to start or what is needed"--Publisher's description