Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Managing Projects in the Real World PDF full book. Access full book title Managing Projects in the Real World by Melanie McBride. Download full books in PDF and EPUB format.
Author: Melanie McBride Publisher: Apress ISBN: 1430265124 Category : Business & Economics Languages : en Pages : 237
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
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
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
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: Mattias Skarin Publisher: Pragmatic Bookshelf ISBN: 1680504509 Category : Computers Languages : en Pages : 171
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
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: Leonard Apeltsin Publisher: Simon and Schuster ISBN: 1638352305 Category : Computers Languages : en Pages : 702
Book Description
Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp you will learn: - Techniques for computing and plotting probabilities - Statistical analysis using Scipy - How to organize datasets with clustering algorithms - How to visualize complex multi-variable datasets - How to train a decision tree machine learning algorithm In Data Science Bookcamp you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology A data science project has a lot of moving parts, and it takes practice and skill to get all the code, algorithms, datasets, formats, and visualizations working together harmoniously. This unique book guides you through five realistic projects, including tracking disease outbreaks from news headlines, analyzing social networks, and finding relevant patterns in ad click data. About the book Data Science Bookcamp doesn’t stop with surface-level theory and toy examples. As you work through each project, you’ll learn how to troubleshoot common problems like missing data, messy data, and algorithms that don’t quite fit the model you’re building. You’ll appreciate the detailed setup instructions and the fully explained solutions that highlight common failure points. In the end, you’ll be confident in your skills because you can see the results. What's inside - Web scraping - Organize datasets with clustering algorithms - Visualize complex multi-variable datasets - Train a decision tree machine learning algorithm About the reader For readers who know the basics of Python. No prior data science or machine learning skills required. About the author Leonard Apeltsin is the Head of Data Science at Anomaly, where his team applies advanced analytics to uncover healthcare fraud, waste, and abuse. Table of Contents CASE STUDY 1 FINDING THE WINNING STRATEGY IN A CARD GAME 1 Computing probabilities using Python 2 Plotting probabilities using Matplotlib 3 Running random simulations in NumPy 4 Case study 1 solution CASE STUDY 2 ASSESSING ONLINE AD CLICKS FOR SIGNIFICANCE 5 Basic probability and statistical analysis using SciPy 6 Making predictions using the central limit theorem and SciPy 7 Statistical hypothesis testing 8 Analyzing tables using Pandas 9 Case study 2 solution CASE STUDY 3 TRACKING DISEASE OUTBREAKS USING NEWS HEADLINES 10 Clustering data into groups 11 Geographic location visualization and analysis 12 Case study 3 solution CASE STUDY 4 USING ONLINE JOB POSTINGS TO IMPROVE YOUR DATA SCIENCE RESUME 13 Measuring text similarities 14 Dimension reduction of matrix data 15 NLP analysis of large text datasets 16 Extracting text from web pages 17 Case study 4 solution CASE STUDY 5 PREDICTING FUTURE FRIENDSHIPS FROM SOCIAL NETWORK DATA 18 An introduction to graph theory and network analysis 19 Dynamic graph theory techniques for node ranking and social network analysis 20 Network-driven supervised machine learning 21 Training linear classifiers with logistic regression 22 Training nonlinear classifiers with decision tree techniques 23 Case study 5 solution
Author: Lee Vaughan Publisher: No Starch Press ISBN: 1718500637 Category : Computers Languages : en Pages : 361
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: Liliana Buchtik Publisher: ISBN: 9781628250336 Category : Business & Economics Languages : en Pages : 0
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: Suzie Boss Publisher: ASCD ISBN: 1416620311 Category : Education Languages : en Pages : 63
Book Description
In this book, project-based learning expert Suzie Boss explains how real-world projects engage and motivate students while teaching relevant, rigorous content and skills that align with standards and put learners on the path to active citizenship. You'll learn why students need to be able to identify and solve authentic, project-worthy problems in their own communities and beyond; how to connect with real-world experts, allies, and audiences; and what practical, field-tested strategies are essential for planning, assessing, and using technology to support successful projects. Project examples are woven throughout the book to show what real-world learning looks like in action, and the resources in the Encore section will help you plan the next steps in your school or classroom.
Author: Yaron Minsky Publisher: "O'Reilly Media, Inc." ISBN: 1449324754 Category : Computers Languages : en Pages : 618
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: Melanie McBride
Author: Melanie McBride
Author: Suzie Boss
Author: Varun Gupta
Author: Mattias Skarin
Author: Alexey Grigorev
Author: Leonard Apeltsin
Author: Lee Vaughan
Author: Liliana Buchtik
Author: Suzie Boss
Author: Yaron Minsky