Real World Projects
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Managing Projects In The Real World
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Author : Melanie McBride
language : en
Publisher: Apress
Release Date : 2014-02-28
Managing Projects In The Real World written by Melanie McBride and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Business & Economics categories.
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.
Real World Software Projects For Computer Science And Engineering Students
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Author : Varun Gupta
language : en
Publisher: CRC Press
Release Date : 2021-02-23
Real World Software Projects For Computer Science And Engineering Students written by Varun Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-23 with Education categories.
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.
Real World Software Development
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Author : Raoul-Gabriel Urma
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-12-02
Real World Software Development written by Raoul-Gabriel Urma and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-02 with Computers categories.
Explore the latest Java-based software development techniques and methodologies through the project-based approach in this practical guide. Unlike books that use abstract examples and lots of theory, Real-World Software Development shows you how to develop several relevant projects while learning best practices along the way. With this engaging approach, junior developers capable of writing basic Java code will learn about state-of-the-art software development practices for building modern, robust and maintainable Java software. You’ll work with many different software development topics that are often excluded from software develop how-to references. Featuring real-world examples, this book teaches you techniques and methodologies for functional programming, automated testing, security, architecture, and distributed systems.
Secrets To Mastering The Wbs In Real World Projects
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Author : Liliana Buchtik
language : en
Publisher:
Release Date : 2013
Secrets To Mastering The Wbs In Real World Projects written by Liliana Buchtik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Business & Economics categories.
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.
Intelligent Projects Using Python
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Author : Santanu Pattanayak
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-31
Intelligent Projects Using Python written by Santanu Pattanayak and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-31 with Computers categories.
Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python Key FeaturesA go-to guide to help you master AI algorithms and concepts8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillanceUse TensorFlow, Keras, and other Python libraries to implement smart AI applicationsBook Description This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python. The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI. By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle. What you will learnBuild an intelligent machine translation system using seq-2-seq neural translation machinesCreate AI applications using GAN and deploy smart mobile apps using TensorFlowTranslate videos into text using CNN and RNNImplement smart AI Chatbots, and integrate and extend them in several domainsCreate smart reinforcement, learning-based applications using Q-LearningBreak and generate CAPTCHA using Deep Learning and Adversarial Learning Who this book is for This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is what you need. Knowledge of Python programming and a familiarity with basic machine learning and deep learning concepts are expected to help you get the most out of the book
Rigorous Pbl By Design
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Author : Michael McDowell
language : en
Publisher: Corwin Press
Release Date : 2017-03-01
Rigorous Pbl By Design written by Michael McDowell and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-01 with Education categories.
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.
Data Science Bookcamp
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Author : Leonard Apeltsin
language : en
Publisher: Simon and Schuster
Release Date : 2021-12-07
Data Science Bookcamp written by Leonard Apeltsin and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Computers categories.
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
Tensorflow Deep Learning Projects
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Author : Alberto Boschetti
language : en
Publisher: Packt Publishing
Release Date : 2018-03-28
Tensorflow Deep Learning Projects written by Alberto Boschetti and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-28 with Computers categories.
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.
Microsoft Sharepoint 2010 Creating And Implementing Real World Projects
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Author : Jennifer Mason
language : en
Publisher: Pearson Education
Release Date : 2012-03-15
Microsoft Sharepoint 2010 Creating And Implementing Real World Projects written by Jennifer Mason and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-15 with Computers categories.
Build effective solutions for real-world business scenarios—using out-of-the-box tools in Microsoft SharePoint Server, SharePoint Foundation, and Office 365. Each chapter in this hands-on book focuses on a single business project, using a standard approach to guide you through the solution-building process from start to finish. Apply your skills as a SharePoint power user or site administrator—and get started now. Tackle 10 common business problems with proven SharePoint solutions Set up a help desk solution to track service requests Build a modest project management system Design a scheduling system to manage resources Create a site to support geographically dispersed teams Implement a course registration system Build a learning center with training classes and resources Design a team blog platform to review content Create a process to coordinate RFP responses Set up a FAQ system to help users find answers quickly Implement a cost-effective contact management system
Real World Ocaml
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Author : Yaron Minsky
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-11-04
Real World Ocaml written by Yaron Minsky and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-04 with Computers categories.
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