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W Polsce licencji na szkolenia udziela Polskie Towarzystwo Informatyczne (PTI), ono także wydaje certyfikaty.
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Wprowadzenie do skutecznego stosowania metodologii Agile w ogólnej strategi biznesowej. Jeśli projekt ma osiągnąć sukces, strategia zarządzania musi być dostatecznie elastyczna, by móc dostosować się do dynamicznych, błyskawicznie ewoluujących potrzeb biznesowych. Książka Zrozumieć Agile Project Management pomaga menedżerom projekt&oa
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Note about this ebook: This ebook exploits many advanced capabilities with images, hypertext, and interactivity and is optimized for EPUB3-compliant book readers, especially Apple's iBooks and browser plugins. These features may not work on all ebook readers.We organize things. We organize information, information about things, and information abou
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Note about this ebook: This ebook exploits many advanced capabilities with images, hypertext, and interactivity and is optimized for EPUB3-compliant book readers, especially Apple's iBooks and browser plugins. These features may not work on all ebook readers.We organize things. We organize information, information about things, and information abou
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Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework.Once author Ian Pointer help
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This book will help analysts get the most out of Microsoft Business Intelligence tools with DAX. With expert-led examples and approachable theoretical explanations, you'll deepen your understanding of DAX and achieve good business modeling design.
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Budowa społeczeństwa informacyjnego została wskazana jako jeden z priorytetów rozwojowych Unii Europejskiej na najbliższą dekadę. W prezentowanej monografii Czytelnicy znajdą nie tylko definicję społeczeństwa informacyjnego oraz wyjaśnienie jego roli w rozwoju społecznym i gospodarczym XXI wieku, lecz także opis sieci powiązań, zadań i inter
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Until recently, infrastructure was the backbone of organizations operating software they developed in-house. But now that cloud vendors run the computers, companies can finally bring the benefits of agile custom-centricity to their own developers. Adding product management to infrastructure organizations is now all the rage.But how's that possible
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This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you’ll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x.
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For years, companies have rewarded their most effective engineers with management positions. But treating management as the default path for an engineer with leadership ability doesn't serve the industry well--or the engineer. The staff engineer's path allows engineers to contribute at a high level as role models, driving big projects, determining
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Collaboration is key for organizations in the 21st century, yet few business people have been trained to teach this skill. How do you advance ideas in a collaborative way and then communicate them throughout your company? In this practical book, author Gretchen Anderson shows you how to generate ideas with others while gaining buy-in from all level
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In the modern symphony of business, each section-from the technical to the managerial-must play in harmony. Authors Ron Itelman and Juan Cruz Viotti introduce a bold methodology to synchronize your business and technical teams, transforming them into a single, high-performing unit.
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Learn how to get started with Futures Thinking. With this practical guide, Phil Balagtas, founder of the Design Futures Initiative and the global Speculative Futures network, shows you how designers and futurists have made futures work at companies such as Atari, IBM, Apple, Disney, Autodesk, Lufthansa, and McKinsey & Company.This book demystif
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Cykliczna, coroczna monografia Katedry Systemów Informacyjnych Zarządzania. Książka podzielona została na trzy rozdziały. Pierwszy zawiera artykuły w języku angielskimi zatytułowany jest Selected trends in IT development. Drugi rozdział stanowią rozważania o informatyce w przyszłości. Trzeci natomiast poświęcony jest analizie systemów informatyczny
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Data has been a missing part of most academic curriculums for a long time, and we're all being affected. During challenging times, creating a data-informed culture can help you pivot quickly or prevent expensive missteps. Developing a data curious organization will take advantage of the burgeoning data resources available as a result of increasing
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Monografia ma charakter uniwersalny i może być z powodzeniem wykorzystana przez badaczy różnych specjalności, zajmuj
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Szybka metoda nauki
Microsoft Project!
Nauka może być łatwa. Osiągnij więcej w krótkim czasie przy użyciu Microsoft Project. Możesz po prostu wyszukać zadanie, które musisz wykonać, albo pracować od deski do deski, pobierając pliki ćwiczeń i systematycznie budując swoje umiejętności.
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You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you’re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-d
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We're building more products today than ever before, but most of them fail--not because we can't complete what we want to build but because we waste time, money, and effort building the wrong product. What we need is a systematic process for quickly vetting product ideas and raising our odds of success. That's the promise of Running Lean.In this in
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Customers who have inconsistent experiences with products and services are understandably frustrated. But it's worse for organizations that can't pinpoint the causes of these problems because they're too focused on processes. This updated book shows your team how to use alignment diagrams to turn valuable customer observations into actionable insig
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Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitor
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Baza danych SQL Server programu Microsoft System Center Configuration Manager (ConfigMgr) zawiera wiele cennych informacji na temat Twoich użytkowników, komputerów, sprzętu, systemów operacyjnych, aplikacji czy stanu zgodności. Aby umożliwić Ci efektywne wyodrębnianie tych danych, Microsoft dostarczył kilku doskonałych narzędzi, wliczając w to usłu
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How can Facebook help you promote your brand, products, and services? This book provides proven tactics that you can use right away to build your brand and engage prospective customers. With 500 million active users worldwide, Facebook offers a much larger audience than traditional media, but it's a new landscape loaded with unfamiliar challenges.
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How can startups successfully scale customer acquisition and revenue growth with a Lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. But that hasn’t been an easy tas
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Blogs, networking sites, and other examples of the social web provide businesses with a largely untapped marketing channel for products and services. But how do you take advantage of them? With The New Community Rules, you'll understand how social web technologies work, and learn the most practical and effective ways to reach people who frequent th
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Are you looking to take advantage of social media for your business or organization? With easy-to-understand introductions to blogging, forums, opinion and review sites, and social networks such as Twitter, Facebook, and LinkedIn, this book will help you choose the best -- and avoid the worst -- of the social web's unique marketing opportunities. T
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Opanuj koncepcje uczenia maszynowego i rozwiązuj rzeczywiste problemy Uczenie maszynowe stwarza niesamowite możliwości, a książka Wprowadzenie do uczenia maszynowego zawiera praktyczną wiedzę o ich wykorzystaniu. Dino i Francesco Esposito zaczynają od krótkiego omówienia podstawowych zagadnień sztucznej inteligencji oraz zasad każdego
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Building models is a small part of the story when it comes to deploying machine learning applications. The entire process involves developing, orchestrating, deploying, and running scalable and portable machine learning workloads--a process Kubeflow makes much easier. This practical book shows data scientists, data engineers, and platform architect
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How do we know if a hot new technology will succeed or fail? Most of us, even experts, get it wrong all the time. We depend more than we realize on wishful thinking and romanticized ideas of history. In the new paperback edition of this fascinating book, a book that has appeared on MSNBC, CNBC, Slashdot.org, Lifehacker.com and in The New York Times
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Talking to people about your designs might seem like a basic skill, but it can be difficult to do well. In many cases, how you communicate with stakeholders, clients, and other nondesigners may be more important than the designs themselves. Because if you canâ??t get their support, your work will never see the light of dayâ??no matter how
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Microsoft Power BI jest narzędziem do analizowania i wizualizacji danych - na tyle potężnym, aby móc sprostać potrzebom nawet najbardziej wymagających danologów, a jednocześnie na tyle przystępnym, aby mogło być używane na co dzień przez każdego, kto chce uzyskać więcej informacji ze swoich danych. Na rynku dostępnych jest wiele książek projektowan
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Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to unlock new potential in almost every domain, but reliably accessing these capabilities requires new skills. This book will teach you the art and sc
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Nadrzędnym celem systemów oprogramowania (a więc i architektury oprogramowania) jest budowanie systemów spełniających standardy jakości i zapewniających najwyższy zwrot z inwestycji (ROI) w dłuższej perspektywie lub w określonym przedziale czasu.
Świetny produkt wymaga połączenia technologii, przywództwa i zarządzania produktem (wliczając w to U
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This book serves as a concise path toward cracking Kaggle competitions as well as an all-encompassing guide to upgrading your skills and career as a data scientist.
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Python Data Science Essentials, Third Edition provides modern insight in setting up and performing data science operations effectively using the latest python tools and libraries. It builds faster governance on the most essential tasks such as data munging and pre-processing, along with all the techniques you require.
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Data science and machine learning are some of the top buzzwords in the technical world today. A re-surging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning. Through this book, you will learn to apply the concepts of mach
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Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack.You'll learn common considera
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What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management
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Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools.RStudio Master Instruc
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Harnessing Hibernate is an ideal introduction to the popular framework that lets Java developers work with information from a relational database easily and efficiently. Databases are a very different world than Java objects, and they often involve people with different skills and specializations. With Hibernate, bridging these two worlds is signif
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Even as spending on digital transformation continues to skyrocket, mainframes nevertheless have major advantages for global enterprises. These systems still process huge amounts of information and allow for highly secure processing. In this practical book, author Tom Taulli shows software developers how to pursue a hybrid approach by integrating tr
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Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformer
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The book will help you learn deep neural networks and their applications in computer vision, generative models, and natural language processing. It will also introduce you to the area of reinforcement learning, where you’ll learn the state-of-the-art algorithms to teach the machines how to play games like Go and Atari.
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This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden
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Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data
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In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.With Beautiful Data, you will:Explore the opportuni
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If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-o
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In today's environment of partial attention and isolating remote work, few things are more satisfying than group experiences that produce powerful, meaningful connections and output. But this kind of enlivening, collective work doesn't happen by chance. It must be consciously designed and purposefully activated--;in a team, an organization, and a c
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If you’re an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You’ll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion,
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Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine
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Lean UX is synonymous with modern product design and development. By combining human-centric design, agile ways of working, and a strong business sense, designers, product managers, developers, and scrum masters around the world are making Lean UX the leading approach for digital product teams today.In the third edition of this award-winning book,
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Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-base
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The Applied SQL Data Analytics Workshop is the ideal companion on your journey to extracting information from raw business data. Whether it's importing data, analyzing complex data types, or optimizing your queries, this book equips you with the skills you need to build your knowledge in data analysis with SQL.
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Machine Learning (ML) is transforming the way we understand and interact with the world around us. This book is a perfect guide for you to use the Python ecosystem to cover key domains in the machine learning. You will learn to implement advanced concepts and most used machine learning algorithms using complex datasets and optimized techniques.
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This book is for Python developers to implement various components of end-to-end decentralized applications such as cryptocurrencies, smart contracts, wallet and more. You will use the example-based approach using various libraries from Python ecosystem to build efficient and powerful blockchain applications at work or projects.
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Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and all features of R that enable you to understand your data better and get answers to all your business questions.
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Mastering OpenCV 4 with Python is a comprehensive guide to help you to get acquainted with various computer vision algorithms running in real-time. This book will help you to build complete projects on image processing, motion detection, and image segmentation where you can gain advanced computer vision techniques.
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Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we have more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Focusing on OpenCV 3.x and Python
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Python comes with many libraries and tools that help you work on geoprocessing tasks without investing in expensive tools. This book introduces you to new libraries that perform geospatial and statistical analysis and data management. It uses examples that explain how Python v3 differs from v2, and solve age-old problems in geospatial analysis.
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The purpose of this book is two-fold, we focus on detailed coverage of deep learning and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is on real-world examples and research problems using TensorFlow, Keras and Python ecosystem with hands-on examples.
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Python is an object-oriented, scripting language that is used in wide range of categories. In software engineering, a design pattern is a recommended solution to a software design problem. Although not new, design patterns remain one of the hottest topics in software engineering and they come as a ready reference for software developers to solve th
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Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate how neural networks play a vital role in exploring predictive analytics across different domains. You will explore projects in the field of computational linguistics, computer vision, machine translation, pattern recognition and many more
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This book will show data analysis tasks, ranging from data retrieval, cleaning, manipulation, visualization, and storage to complex analysis and modeling using a variety of modules such as NumPy, SciPy, matplotlib, pandas, scikit-learn, and NLTK. You will be able to analyze different kinds of data including numeric, text, time-series, graph, and so
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This book is the ultimate guide to using latest features of Python 3.x to scrape data from websites. Learn right from extracting data from static web pages to creating class-based scrapers with Scrapy libraries. This book will also help you build crawlers and determine how to scrape data from JavaScript dependent website using PyQt and Selenium. Yo
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Natural Language Processing is a field of computational linguistics and artificial intelligence that deals with human-computer interaction. The numbers of human-computer interaction instances are increasing so it’s becoming imperative that computers comprehend all major natural languages. Python's powerful tools and libraries are evolved so
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Practical Time Series Analysis will introduce you to the basic concepts of time series analysis and describe powerful yet simple techniques in Python which data scientists and data engineers would find useful in dealing with real life datasets in industrial settings. This book focuses on explaining important concepts and practical techniques to pro
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Explore pandas, the powerful Python library for data analysis and manipulation by working on real-world datasets. Get to grips with the fundamentals and learn to use pandas to clean messy data, independently analyze groups within your data, make powerful time-series calculations, and create beautiful visualizations during exploratory data analysis.
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Harness the incredible power of Java-based approaches to data science and create new, innovative applications to explore, visualise and analyse big data. With its tutorial approach and step-by-step instructional style, Java for Data Science is the ultimate data science book for Java developers interested in Java-based data science solutions.
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Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny dev
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Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based mod
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Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work.RStudio enginee
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Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a practical, actionable view of big data
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Business decisions in any context—operational, tactical, or strategic—can have considerable consequences. Whether the outcome is positive and rewarding or negative and damaging to the business, its employees, and stakeholders is unknown when action is approved. These decisions are usually made under the proverbial cloud of uncertainty.W
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The software architect role is evolving. As systems and their interactions with the teams that build, run, and evolve them become more complex, it's often impossible for those playing the traditional architect roles to be everywhere they need to be. There's simply too much architecture to be done, and the situation has reached a breaking point. The
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Learn Python programming fundamentals, explore scientific libraries, and apply Python to solve engineering problems with practical examples and projects.
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Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly
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Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techn
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If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.You'll understand how to implement the most common scenarios
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If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving. This guide helps data scientists build production-
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The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover
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We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine le
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This book includes 9 projects on building smart and practical AI-based systems. These projects cover solutions to different domain-specific problems in healthcare, e-commerce and more. With this book, you will apply different machine learning and deep learning techniques and learn how to build your own intelligent applications for smart predictions
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Data is the new oil, but it comes crude. To do anything meaningful - modeling, visualization, machine learning, for predictive analysis – you first need to wrestle and wrangle with data. Data Wrangling with Python teaches you the essentials that will get you up and running with data wrangling in no time.
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Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll fini
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Recommendation systems are at the heart of almost every internet business today; from Facebook to Netflix to Amazon. Providing good recommendations, whether it's friends, movies or groceries, goes a long way in defining user experience and enticing your customers to use and buy from your platform. This book teaches you to do just that.
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Reinforcement learning is a self-evolving type of machine learning that takes us closer to achieving true artificial intelligence. This easy-to-follow guide explains everything from scratch using rich examples written in Python.
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Python Web Scraping Cookbook is a solution-focused book that will teach you techniques to develop high-performance Scrapers, and deal with cookies, hidden form fields, Ajax-based sites, proxies, and more. By the end of this book, you will be able to scrape websites more efficiently with more accurate data, and how to package, deploy and operate scr
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Developers struggle to find an easy to follow learning resource for implementing Recurrent Neural Network(RNN) models. RNNs are the state-of-the-art model in deep learning for dealing with sequential data. From language translation to generating captions for an image, RNNs are used to continuously improve the results. This book will teach you the f
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This book demonstrates techniques to leverage the power of Python, OpenCV, and TensorFlow to solve problems in Computer Vision. This book also shows you how to build an application that can estimate human poses within images. You will also classify images and identify humans in videos, and then develop your own handwritten digit classifier.
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This hands-on guide for meta learning starts with exploring the principles, algorithms, and implementations of Meta learning with Tensorflow, Keras, and Python. Once it sets the foundation of learning to learn, the book will help you implement your meta learning algorithms from scratch.
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scikit-learn has evolved as a robust library for machine learning applications in python with support for a wide range of supervised and unsupervised learning algorithms.This edition brings to you the various enhancements to its model implementations, API and bug fixes in the latest major release of scikit-learn to support Python. This book covers
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The SciPy stack is a popular Python ecosystem used for mathematical and scientific computing tasks. Learn how you can put to use the various functionalities offered by the SciPy stack in the most efficient way possible. With the help of this book, you will solve real-world problems in linear algebra, numerical analysis, visualization, and more.
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Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and
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Fairness is an increasingly important topic as machine learning and AI more generally take over the world. While this is an active area of research, many realistic best practices are emerging at all steps along the data pipeline, from data selection and preprocessing to blackbox model audits. This book will guide you through the technical, legal, a
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Arkusz kalkulacyjny MS Excel 2010 to niezwykle intuicyjna w obsłudze aplikacja. Jeśli tylko umiemy wprowadzać i zaznaczać dane, reszta pracy sprowadza się w większości do klikania odpowiednich opcji.
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R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.You'll find recipes on
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Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve deep-learning problem
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