A developer's guide to successfully managing teams, customers, and software projects Key Features ?A complete guide to managing developer teams, software projects, customers, and users ?Transition successfully from a technical role to management ?Develop crucial skills to enhance your performance and advance your career Book Description The Successful Software Manager is a comprehensive and practical guide to managing software developers, software customers, and the process of deciding what software needs to be built. It explains in detail how to develop a management mindset, lead a high-performing developer team, and meet all the expectations of a good manager. The book will help you whether you’ve chosen to pursue a career in management or have been asked to "act up" as a manager. Whether you’re a Development Manager, Product Manager, Team Leader, Solution Architect, or IT Director, this is your indispensable guide to all aspects of running your team and working within an organization and dealing with colleagues, customers, potential customers, and technologists, to ensure you build the product your organization needs. This book is the must-have authoritative guide to managing projects, managing people, and preparing yourself to be an effective manager. The intuitive real-life examples will act as a desk companion for any day-to-day challenge, and beyond that, Herman will show you how to prepare for the next stages and how to achieve career success. What you will learn ?Decide if moving to management is right for you ?Develop the skills required for management ?Lead and manage successful software development projects ?Understand the various roles in a technical team and how to manage them ?Motivate and mentor your team ?Deliver successful training and presentations ?Lead the design process with storyboards and personas, and validate your solution Who this book is for Development Managers, Product Managers, Team Leaders, Solution Architects, or IT Directors who want to effectively manage colleagues, customers, potential customers, and technologists. Table of Contents 1.Why Do You Want to Become a Manager? 2.What Are the Key Skills I Need? 3.What Is My Job Now? 4.A Week in the Life of a Manager 5.Managing Your Team 6.Asking the Right Questions to Your Users 7.Meetings 8.Design Techniques 9.Validating the Solution 10.Agile, Waterfall, and Everything in Between 11.Always Be Shipping 12.The Training Day 13.Organizational Management in the 21st Century 14.Developing Yourself as a Leader 15.Your Next Steps

10 Coisas básicas que você deve saber fazer na cozinha

A Thief in the Night

Save the Planet: Reduce, Reuse, and Recycle

The Last President: A Collection of Recovered Works

101 Frases legais de parachoque de caminh?o

Just So Stories

Moon-Face & Other Stories

10 Receitas típicas de Minas Gerais

The God of his Fathers & Other Stories

A Son of the Sun

Back to God's Country and Other Stories

Ela escolheu esperar

A história por trás de um cadáver encontrado em um rio

The Wonders of the Invisible World

Laddie

The Life of George Washington: All Five Volumes in a Single File

Implement popular deep learning techniques to make your IoT applications smarter Key Features ?Understand how deep learning facilitates fast and accurate analytics in IoT ?Build intelligent voice and speech recognition apps in TensorFlow and Chainer ?Analyze IoT data for making automated decisions and efficient predictions Book Description Artificial Intelligence is growing quickly, which is driven by advancements in neural networks(NN) and deep learning (DL). With an increase in investments in smart cities, smart healthcare, and industrial Internet of Things (IoT), commercialization of IoT will soon be at peak in which massive amounts of data generated by IoT devices need to be processed at scale. Hands-On Deep Learning for IoT will provide deeper insights into IoT data, which will start by introducing how DL fits into the context of making IoT applications smarter. It then covers how to build deep architectures using TensorFlow, Keras, and Chainer for IoT. You’ll learn how to train convolutional neural networks(CNN) to develop applications for image-based road faults detection and smart garbage separation, followed by implementing voice-initiated smart light control and home access mechanisms powered by recurrent neural networks(RNN). You’ll master IoT applications for indoor localization, predictive maintenance, and locating equipment in a large hospital using autoencoders, DeepFi, and LSTM networks. Furthermore, you’ll learn IoT application development for healthcare with IoT security enhanced. By the end of this book, you will have sufficient knowledge need to use deep learning efficiently to power your IoT-based applications for smarter decision making. What you will learn ?Get acquainted with different neural network architectures and their suitability in IoT ?Understand how deep learning can improve the predictive power in your IoT solutions ?Capture and process streaming data for predictive maintenance ?Select optimal frameworks for image recognition and indoor localization ?Analyze voice data for speech recognition in IoT applications ?Develop deep learning-based IoT solutions for healthcare ?Enhance security in your IoT solutions ?Visualize analyzed data to uncover insights and perform accurate predictions Who this book is for If you’re an IoT developer, data scientist, or deep learning enthusiast who wants to apply deep learning techniques to build smart IoT applications, this book is for you. Familiarity with machine learning, a basic understanding of the IoT concepts, and some experience in Python programming will help you get the most out of this book. Table of Contents 1.End-to-End Life Cycle of IoT 2.Deep Learning Architectures for IoT 3.Image Recognition in IoT 4.Audio/Speech/Voice Recognition in IoT 5.Indoor localization in IoT 6.Physiological and Psychological State Detection in IoT 7.Security and privacy for IoT 8.Predictive Maintenance for IoT 9.Deep learning in Healthcare IoT 10.What’s next: Wrapping Up and Future Directions

The Twenty-Fourth of June

The Second Violin

Ramona