180 Days: Hands-On STEAM: Grade 6 ebook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook 180 Days: Hands-On STEAM: Grade 6 ebook write by Nancy Balter. This book was released on 2022-05-20. 180 Days: Hands-On STEAM: Grade 6 ebook available in PDF, EPUB and Kindle. Incorporate hands-on lab activities that integrate STEAM concepts with 180 days of daily practice! This invaluable resource provides weekly STEAM activities that improve students’ criitcal-thinking skills, and are easy to incorporate into any learning environment. Students will explore STEAM concepts through the inquiry process with hands-on lab activities. Each week introduces a STEAM problem, need, or phenomena that they will address through a guided step-by-step challenge. Aligned to Next Generation Science Standards (NGSS) and state standards, this resource includes digital materials. Provide students with the skills they need to think develop problem-solving skills with this essential resource!
Hands-On Q-Learning with Python
Hands-On Q-Learning with Python - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hands-On Q-Learning with Python write by Nazia Habib. This book was released on 2019-04-19. Hands-On Q-Learning with Python available in PDF, EPUB and Kindle. Leverage the power of reward-based training for your deep learning models with Python Key FeaturesUnderstand Q-learning algorithms to train neural networks using Markov Decision Process (MDP)Study practical deep reinforcement learning using Q-NetworksExplore state-based unsupervised learning for machine learning modelsBook Description Q-learning is a machine learning algorithm used to solve optimization problems in artificial intelligence (AI). It is one of the most popular fields of study among AI researchers. This book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you get familiar with OpenAI Gym as well as libraries such as Keras and TensorFlow. A few chapters into the book, you will gain insights into modelfree Q-learning and use deep Q-networks and double deep Q-networks to solve complex problems. This book will guide you in exploring use cases such as self-driving vehicles and OpenAI Gym’s CartPole problem. You will also learn how to tune and optimize Q-networks and their hyperparameters. As you progress, you will understand the reinforcement learning approach to solving real-world problems. You will also explore how to use Q-learning and related algorithms in real-world applications such as scientific research. Toward the end, you’ll gain a sense of what’s in store for reinforcement learning. By the end of this book, you will be equipped with the skills you need to solve reinforcement learning problems using Q-learning algorithms with OpenAI Gym, Keras, and TensorFlow. What you will learnExplore the fundamentals of reinforcement learning and the state-action-reward processUnderstand Markov decision processesGet well versed with libraries such as Keras, and TensorFlowCreate and deploy model-free learning and deep Q-learning agents with TensorFlow, Keras, and OpenAI GymChoose and optimize a Q-Network’s learning parameters and fine-tune its performanceDiscover real-world applications and use cases of Q-learningWho this book is for If you are a machine learning developer, engineer, or professional who wants to delve into the deep learning approach for a complex environment, then this is the book for you. Proficiency in Python programming and basic understanding of decision-making in reinforcement learning is assumed.
Hands-On Ensemble Learning with R
Hands-On Ensemble Learning with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hands-On Ensemble Learning with R write by Prabhanjan Narayanachar Tattar. This book was released on 2018-07-27. Hands-On Ensemble Learning with R available in PDF, EPUB and Kindle. Explore powerful R packages to create predictive models using ensemble methods Key Features Implement machine learning algorithms to build ensemble-efficient models Explore powerful R packages to create predictive models using ensemble methods Learn to build ensemble models on large datasets using a practical approach Book Description Ensemble techniques are used for combining two or more similar or dissimilar machine learning algorithms to create a stronger model. Such a model delivers superior prediction power and can give your datasets a boost in accuracy. Hands-On Ensemble Learning with R begins with the important statistical resampling methods. You will then walk through the central trilogy of ensemble techniques – bagging, random forest, and boosting – then you'll learn how they can be used to provide greater accuracy on large datasets using popular R packages. You will learn how to combine model predictions using different machine learning algorithms to build ensemble models. In addition to this, you will explore how to improve the performance of your ensemble models. By the end of this book, you will have learned how machine learning algorithms can be combined to reduce common problems and build simple efficient ensemble models with the help of real-world examples. What you will learn Carry out an essential review of re-sampling methods, bootstrap, and jackknife Explore the key ensemble methods: bagging, random forests, and boosting Use multiple algorithms to make strong predictive models Enjoy a comprehensive treatment of boosting methods Supplement methods with statistical tests, such as ROC Walk through data structures in classification, regression, survival, and time series data Use the supplied R code to implement ensemble methods Learn stacking method to combine heterogeneous machine learning models Who this book is for This book is for you if you are a data scientist or machine learning developer who wants to implement machine learning techniques by building ensemble models with the power of R. You will learn how to combine different machine learning algorithms to perform efficient data processing. Basic knowledge of machine learning techniques and programming knowledge of R would be an added advantage.
Hardware Security Training, Hands-on!
Hardware Security Training, Hands-on! - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hardware Security Training, Hands-on! write by Mark Tehranipoor. This book was released on 2023-06-29. Hardware Security Training, Hands-on! available in PDF, EPUB and Kindle. This is the first book dedicated to hands-on hardware security training. It includes a number of modules to demonstrate attacks on hardware devices and to assess the efficacy of the countermeasure techniques. This book aims to provide a holistic hands-on training to upper-level undergraduate engineering students, graduate students, security researchers, practitioners, and industry professionals, including design engineers, security engineers, system architects, and chief security officers. All the hands-on experiments presented in this book can be implemented on readily available Field Programmable Gate Array (FPGA) development boards, making it easy for academic and industry professionals to replicate the modules at low cost. This book enables readers to gain experiences on side-channel attacks, fault-injection attacks, optical probing attack, PUF, TRNGs, odometer, hardware Trojan insertion and detection, logic locking insertion and assessment, and more.
Hands-on Manual for Cinematographers
Hands-on Manual for Cinematographers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hands-on Manual for Cinematographers write by David Samuelson. This book was released on 2014-03-26. Hands-on Manual for Cinematographers available in PDF, EPUB and Kindle. Contains information, theory, diagrams and tables on various aspects of cinematography, ranging from camera choice, maintenance and threading diagrams; to electricity on location, equipment checklists, film stock, lenses, light and colour. This work includes sections on special effects and utilities. The "Hands On" Manual for Cinematographers contains a wealth of information, theory, diagrams and tables on all aspects of cinematography. Widely recognised as the "Cinematographer's Bible" the book is organised in a unique manner for easy reference on location, and remains an essential component of the cameraman's box. Everything you need to know about cinematography can be found in this book - from camera choice, maintenance and threading diagrams; to electricity on location, equipment checklists, film stock, lenses, light and colour. Of particular use will be the mathematics, formulae, look up tables and step by step examples used for everything from imperial/metric conversions to electricity, exposure, film length, running times, lights and optics. Sections on special effects and utilities are also included as well as a list of useful websites.
