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Author: Melanie McBride
Publisher: Apress
ISBN: 1430265124
Category : Business & Economics
Languages : en
Pages : 237
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Book Description
Managing Projects in the Real World provides clear and actionable advice to project managers for recognizing, anticipating, and overcoming challenges associated with the human component of leading others. The mechanics of project management are rational and straightforward to learn. The art of project management is irrational and complex to learn. Project managers need to develop a repertoire of soft skills that are typically hard for them, since they rose through the ranks to that position by virtue of superior reasoning skills. But if a project manager cannot adjudicate the clash of personalities, finesse the friction between assigned and preferred roles, steer clear of hidden hazards, and diplomatically resolve overlapping assertions of competing authority—that project manager is in a world of trouble. From the human perils of project management, nobody is better qualified to rescue beleaguered project managers than Melanie McBride—veteran PM and author of the Intel blog, The Accidental Profession. She sheds light on those dark, dusty places that fall between the cracks of theory and best practice out in the real world where irate colleagues, unrealistic product launch dates, and virtual meetings reign supreme and run amok. In this book you’ll find targeted discussions and specific techniques to empower you to meet the challenges that project managers face every day. The book is structured into project phases to help any project manager on any kind of project jump right to the tried and true solution for the challenge at hand.
Author: Melanie McBride
Publisher: Apress
ISBN: 1430265124
Category : Business & Economics
Languages : en
Pages : 237
Get Book Here
Book Description
Managing Projects in the Real World provides clear and actionable advice to project managers for recognizing, anticipating, and overcoming challenges associated with the human component of leading others. The mechanics of project management are rational and straightforward to learn. The art of project management is irrational and complex to learn. Project managers need to develop a repertoire of soft skills that are typically hard for them, since they rose through the ranks to that position by virtue of superior reasoning skills. But if a project manager cannot adjudicate the clash of personalities, finesse the friction between assigned and preferred roles, steer clear of hidden hazards, and diplomatically resolve overlapping assertions of competing authority—that project manager is in a world of trouble. From the human perils of project management, nobody is better qualified to rescue beleaguered project managers than Melanie McBride—veteran PM and author of the Intel blog, The Accidental Profession. She sheds light on those dark, dusty places that fall between the cracks of theory and best practice out in the real world where irate colleagues, unrealistic product launch dates, and virtual meetings reign supreme and run amok. In this book you’ll find targeted discussions and specific techniques to empower you to meet the challenges that project managers face every day. The book is structured into project phases to help any project manager on any kind of project jump right to the tried and true solution for the challenge at hand.
Author: Suzie Boss
Publisher: International Society for Technology in Education
ISBN: 156484496X
Category : Education
Languages : en
Pages : 343
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Book Description
Lead students through powerful learning experiences with Reinventing Project-Based Learning, a guide for educators, administrators and professional development specialists who want to make the shift to a more student-driven learning model. Explore proven strategies for overcoming the limitations of the traditional classroom, including a wealth of technology tools for inquiry, collaboration and global connection to support this new vision of instructional design.
Author: Varun Gupta
Publisher: CRC Press
ISBN: 1000388107
Category : Education
Languages : en
Pages : 114
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Book Description
Developing projects outside of a classroom setting can be intimidating for students and is not always a seamless process. Real-World Software Projects for Computer Science and Engineering Students is a quick, easy source for tackling such issues. Filling a critical gap in the research literature, the book: Is ideal for academic project supervisors. Helps researchers conduct interdisciplinary research. Guides computer science students on undertaking and implementing research-based projects This book explains how to develop highly complex, industry-specific projects touching on real-world complexities of software developments. It shows how to develop projects for students who have not yet had the chance to gain real-world experience, providing opportunity to become familiar with the skills needed to implement projects using standard development methodologies. The book is also a great source for teachers of undergraduate students in software engineering and computer science as it can help students prepare for the risk and uncertainty that is typical of software development in industrial settings.
Author: Michael McDowell
Publisher: Corwin Press
ISBN: 1506359000
Category : Education
Languages : en
Pages : 234
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Book Description
By designing projects that move students from surface to deep and transfer learning through PBL, they will become confident and competent learners. Discover how to make three shifts essential to improving PBL’s overall effect: Clarity: Students should be clear on what they are expected to learn, where they are in the process, and what next steps they need to take to get there. Challenge: Help students move from surface to deep and transfer learning. Culture: Empower them to use that knowledge to make a difference in theirs and the lives of others.
Author: Mattias Skarin
Publisher: Pragmatic Bookshelf
ISBN: 1680504509
Category : Computers
Languages : en
Pages : 171
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Book Description
Your team is stressed; priorities are unclear. You're not sure what your teammates are working on, and management isn't helping. If your team is struggling with any of these symptoms, these four case studies will guide you to project success. See how Kanban was used to significantly improve time to market and to create a shared focus across marketing, IT, and operations. Each case study comes with illustrations of the Kanban board and diagrams and graphs to help you see behind the scenes. Learn a Lean approach by seeing how Kanban made a difference in four real-world situations. You'll explore how four different teams used Kanban to make paradigm-changing improvements in software development. These teams were struggling with overwork, unclear priorities, and lack of direction. As you discover what worked for them, you'll understand how to make significant changes in real situations. The four case studies in this book explain how to: Improve the full value chain by using Enterprise Kanban Boost engagement, teamwork, and flow in change management and operations Save a derailing project with Kanban Help an office team outside IT keep up with growth using Kanban What seems easy in theory can become tangled in practice. Discover why "improving IT" can make you miss your biggest improvement opportunities, and why you should focus on fixing quality and front-end operations before IT. Discover how to keep long-term focus and improve across department borders while dealing with everyday challenges. Find out what happened when using Kanban to find better ways to do work in a well-established company, including running multi-team development without a project office. You'll inspire your team and engage management to make it easier to develop better products. What You Need: This is a case study book, so there are no software requirements. The book covers the relevant bits of theory before presenting the case studies.
Author: Alexey Grigorev
Publisher: Packt Publishing Ltd
ISBN: 1788398386
Category : Computers
Languages : en
Pages : 310
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Book Description
Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios Key Features Build efficient deep learning pipelines using the popular Tensorflow framework Train neural networks such as ConvNets, generative models, and LSTMs Includes projects related to Computer Vision, stock prediction, chatbots and more Book Description TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models, with very high accuracy. This book is your guide to master deep learning with TensorFlow with the help of 10 real-world projects. TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. Learn to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing so, you will build end-to-end deep learning solutions to tackle different real-world problems in image processing, recommendation systems, stock prediction, and building chatbots, to name a few. You will also develop systems that perform machine translation, and use reinforcement learning techniques to play games. By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow, and will be able to build and train your own deep learning models with TensorFlow confidently. What you will learn Set up the TensorFlow environment for deep learning Construct your own ConvNets for effective image processing Use LSTMs for image caption generation Forecast stock prediction accurately with an LSTM architecture Learn what semantic matching is by detecting duplicate Quora questions Set up an AWS instance with TensorFlow to train GANs Train and set up a chatbot to understand and interpret human input Build an AI capable of playing a video game by itself –and win it! Who this book is for This book is for data scientists, machine learning developers as well as deep learning practitioners, who want to build interesting deep learning projects that leverage the power of Tensorflow. Some understanding of machine learning and deep learning, and familiarity with the TensorFlow framework is all you need to get started with this book.
Author: Liliana Buchtik
Publisher:
ISBN: 9781628250336
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
The Second Edition of the popular book on the most practical approach to project Work Breakdown Structures (WBS) and scope management! With hundreds of real-world project examples, this book will change the way you think about and understand the WBS. Learn the secrets to mastering the WBS and obtain smarter project results starting now. A must-read book for successful project managers.
Author: Yaron Minsky
Publisher: "O'Reilly Media, Inc."
ISBN: 1449324754
Category : Computers
Languages : en
Pages : 618
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Book Description
This fast-moving tutorial introduces you to OCaml, an industrial-strength programming language designed for expressiveness, safety, and speed. Through the book’s many examples, you’ll quickly learn how OCaml stands out as a tool for writing fast, succinct, and readable systems code. Real World OCaml takes you through the concepts of the language at a brisk pace, and then helps you explore the tools and techniques that make OCaml an effective and practical tool. In the book’s third section, you’ll delve deep into the details of the compiler toolchain and OCaml’s simple and efficient runtime system. Learn the foundations of the language, such as higher-order functions, algebraic data types, and modules Explore advanced features such as functors, first-class modules, and objects Leverage Core, a comprehensive general-purpose standard library for OCaml Design effective and reusable libraries, making the most of OCaml’s approach to abstraction and modularity Tackle practical programming problems from command-line parsing to asynchronous network programming Examine profiling and interactive debugging techniques with tools such as GNU gdb
Author: Lee Vaughan
Publisher: No Starch Press
ISBN: 1718500637
Category : Computers
Languages : en
Pages : 361
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Book Description
A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code. You've mastered the basics. Now you're ready to explore some of Python's more powerful tools. Real-World Python will show you how. Through a series of hands-on projects, you'll investigate and solve real-world problems using sophisticated computer vision, machine learning, data analysis, and language processing tools. You'll be introduced to important modules like OpenCV, NumPy, Pandas, NLTK, Bokeh, Beautiful Soup, Requests, HoloViews, Tkinter, turtle, matplotlib, and more. You'll create complete, working programs and think through intriguing projects that show you how to: Save shipwrecked sailors with an algorithm designed to prove the existence of God Detect asteroids and comets moving against a starfield Program a sentry gun to shoot your enemies and spare your friends Select landing sites for a Mars probe using real NASA maps Send unbreakable messages based on a book code Survive a zombie outbreak using data science Discover exoplanets and alien megastructures orbiting distant stars Test the hypothesis that we're all living in a computer simulation And more! If you're tired of learning the bare essentials of Python Programming with isolated snippets of code, you'll relish the relevant and geeky fun of Real-World Python!
Author: Jules S. Damji
Publisher: O'Reilly Media
ISBN: 1492050016
Category : Computers
Languages : en
Pages : 400
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Book Description
Data is bigger, arrives faster, and comes in a variety of formats—and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level Structured APIs Understand Spark operations and SQL Engine Inspect, tune, and debug Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow
