Explore the incredible world of science with this colorful and illustrated guide. Science Made Simple will help children understand science topics taught at school and also encourage them to dive deeper and discover more about the world around them. With accessible text, colorful illustrations, and handy graphs, this guide will develop readers’ knowledge and confidence—and expose them to the amazing world of science. Ten chapters discuss topics such as earth science, biology, physics, and chemistry, and explore the links between them. Each chapter also contains several short quizzes, allowing readers to test their knowledge.
Let Carol Vorderman help you to succeed in your National End-Key-Stage Assessments for Maths. Follow the exercises then reward yourself with gold stars for your efforts! Get a head start in Maths and be top of the class - "the more you practise, the better you'll be!" Carol Vorderman
Understand the rules that make the universe run. Understanding the laws of physics is essential for all scientific studies, but many students are intimidated by their complexities. This completely revised and updated book makes it easy to understand the most important principles. From the physics of the everyday world to the theory of relativity, PHYSICS MADE SIMPLE covers it all. Each chapter is introduced by anecdotes that directly apply the concepts to contemporary life and ends with practice problems—with complete solutions—to reinforce the concepts. Humorous illustrations and stories complete the text, making it not only easy but fun to learn this important science. Topics covered include: *force *motion *energy *waves *electricity and magnetism *the atom *quantum physics *relativity *spectroscopy *particle physics Look for these Made Simple titles Accounting Made Simple Arithmetic Made Simple Astronomy Made Simple Biology Made Simple Bookkeeping Made Simple Business Letters Made Simple Chemistry Made Simple English Made Simple Earth Science Made Simple French Made Simple German Made Simple Ingles Hecho Facil Investing Made Simple Italian Made Simple Keyboarding Made Simple Latin Made Simple Learning English Made Simple Mathematics Made Simple The Perfect Business Plan Made Simple Philosophy Made Simple Psychology Made Simple Sign Language Made Simple Spelling Made Simple Statistics Made Simple Your Small Business Made Simple www.broadwaybooks.com
Researched and developed with educational advisors, teachers and inspectors, Carol Vorderman's 'Science Made Easy' books are closely tied in to the requirements of the National Curriculum.
This is a Science workbook intended for ages 9-11, which aims to teach and test children about materials and their properties. The book is part of a series that is designed to be tied into the requirements of the National Curriculum as well as that of Scotland and Ireland.
Quick and easy science experiences are amazing and exciting. Experiment with air pressure, learn how a volcano erupts, investigate how fish swim underwater, and more!
Data collection, processing, analysis, and more About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples A highly practical course covering a broad set of topics - from the basics of Machine Learning to Deep Learning and Big Data frameworks. Who This Book Is For This course is meant for Java developers who are comfortable developing applications in Java, and now want to enter the world of data science or wish to build intelligent applications. Aspiring data scientists with some understanding of the Java programming language will also find this book to be very helpful. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing your existing Java stack, this book is for you! What You Will Learn Understand the key concepts of data science Explore the data science ecosystem available in Java Work with the Java APIs and techniques used to perform efficient data analysis Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images, and create your own search Learn how to build deep neural networks with DeepLearning4j Build data science applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this course, we cover the basic as well as advanced data science concepts and how they are implemented using the popular Java tools and libraries.The course starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. You will examine the major categories of data analysis including text, visual, and audio data, followed by a discussion of resources that support parallel implementation. Throughout this course, the chapters will illustrate a challenging data science problem, and then go on to present a comprehensive, Java-based solution to tackle that problem. You will cover a wide range of topics – from classification and regression, to dimensionality reduction and clustering, deep learning and working with Big Data. Finally, you will see the different ways to deploy the model and evaluate it in production settings. By the end of this course, you will be up and running with various facets of data science using Java, in no time at all. This course contains premium content from two of our recently published popular titles: Java for Data Science Mastering Java for Data Science Style and approach This course follows a tutorial approach, providing examples of each of the concepts covered. With a step-by-step instructional style, this book covers various facets of data science and will get you up and running quickly.
