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Knime Essentials
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Download or read book KNIME Essentials written by Gábor Bakos and published by Packt Publishing Ltd. This book was released on 2013-10-16 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: KNIME Essentials is a practical guide aimed at getting the results you want, as quickly as possible."Knime Essentials" is written for data analysts looking to quickly get up to speed using the market leader in data processing tools, KNIME. No knowledge of KNIME is required, but we will assume that you have some background in data processing.
Download or read book Knime Essentials written by Gabor Bakos and published by Packt Pub Limited. This book was released on 2013-07 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: KNIME Essentials is a practical guide aimed at getting the results you want, as quickly as possible."Knime Essentials" is written for data analysts looking to quickly get up to speed using the market leader in data processing tools, KNIME. No knowledge of KNIME is required, but we will assume that you have some background in data processing.
Book Synopsis Integration of Data Mining in Business Intelligence Systems by : Azevedo, Ana
Download or read book Integration of Data Mining in Business Intelligence Systems written by Azevedo, Ana and published by IGI Global. This book was released on 2014-09-30 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.
Book Synopsis Data Analytics Essentials You Always Wanted To Know by : Vibrant Publishers
Download or read book Data Analytics Essentials You Always Wanted To Know written by Vibrant Publishers and published by Vibrant Publishers. This book was released on 2024-02-29 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Upon reading this book, you will get: A fundamental comprehension of data analytics, including its types An understanding of data analytics processes, software tools, and a range of analytics methodologies A comprehension of what daily tasks and procedures the data analysts follow An investigation into the vast field of big data analytics, covering its possibilities and challenges An understanding of the existing legal frameworks, as well as ethical and privacy issues in data analytics Application-based learning using a variety of real-world case studies From raw data to actionable insights - journey through the essentials of data analytics. Data Analytics Essentials You Always Wanted To Know is an approachable and captivating guide to understand the complicated world of data Data analytics is becoming increasingly important in today's data-driven society, and so has the demand for data analysts. Data Analytics Essentials You Always Wanted to Know (Data Analytics Essentials) is a comprehensive yet succinct manual, perfect for you if you are trying to understand the fundamentals of data analytics. It gives a concise introduction to data analytics and its current applicability. This book is a great tool for professionals switching to a career in data analytics and for students who want to learn the basics of data analytics. It will give you a strong foundation by explaining everything in an easy-to-understand language. Data Analytics Essentials goes beyond a theoretical manual and contains real-world case studies and fun facts to help you enhance your knowledge. The chapter summaries and self- assessment tests along with every chapter will help you test yourself as you move from one concept to the next.
Book Synopsis Computational Intelligence Paradigms in Economic and Financial Decision Making by : Marina Resta
Download or read book Computational Intelligence Paradigms in Economic and Financial Decision Making written by Marina Resta and published by Springer. This book was released on 2015-10-14 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process. In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing maps, elastic maps and social network analysis tools and provides necessary background material on the topic, including a discussion of more recent developments in the field. In the second part the focus is on practical applications, with particular attention paid to budgeting problems, market simulations, and decision-making processes, and on how such problems can be effectively managed by developing proper methods to automatically detect certain patterns. The book offers a valuable resource for both students and practitioners with an introductory-level college math background.
Book Synopsis Codeless Deep Learning with KNIME by : Kathrin Melcher
Download or read book Codeless Deep Learning with KNIME written by Kathrin Melcher and published by Packt Publishing Ltd. This book was released on 2020-11-27 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how to integrate KNIME Analytics Platform with deep learning libraries to implement artificial intelligence solutions Key FeaturesBecome well-versed with KNIME Analytics Platform to perform codeless deep learningDesign and build deep learning workflows quickly and more easily using the KNIME GUIDiscover different deployment options without using a single line of code with KNIME Analytics PlatformBook Description KNIME Analytics Platform is an open source software used to create and design data science workflows. This book is a comprehensive guide to the KNIME GUI and KNIME deep learning integration, helping you build neural network models without writing any code. It’ll guide you in building simple and complex neural networks through practical and creative solutions for solving real-world data problems. Starting with an introduction to KNIME Analytics Platform, you’ll get an overview of simple feed-forward networks for solving simple classification problems on relatively small datasets. You’ll then move on to build, train, test, and deploy more complex networks, such as autoencoders, recurrent neural networks (RNNs), long short-term memory (LSTM), and convolutional neural networks (CNNs). In each chapter, depending on the network and use case, you’ll learn how to prepare data, encode incoming data, and apply best practices. By the end of this book, you’ll have learned how to design a variety of different neural architectures and will be able to train, test, and deploy the final network. What you will learnUse various common nodes to transform your data into the right structure suitable for training a neural networkUnderstand neural network techniques such as loss functions, backpropagation, and hyperparametersPrepare and encode data appropriately to feed it into the networkBuild and train a classic feedforward networkDevelop and optimize an autoencoder network for outlier detectionImplement deep learning networks such as CNNs, RNNs, and LSTM with the help of practical examplesDeploy a trained deep learning network on real-world dataWho this book is for This book is for data analysts, data scientists, and deep learning developers who are not well-versed in Python but want to learn how to use KNIME GUI to build, train, test, and deploy neural networks with different architectures. The practical implementations shown in the book do not require coding or any knowledge of dedicated scripts, so you can easily implement your knowledge into practical applications. No prior experience of using KNIME is required to get started with this book.
Download or read book Flavoromics written by Leo Nollet and published by CRC Press. This book was released on 2023-12-18 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forty years of progress in the fields of gas chromatography and data collection have culminated in flavoromics. This is a combination of chemometrics and metabolomics. Essentially, it is the non-targeted way of rapidly collecting a significant amount of data from a wide range of sample populations and using the data to study complicated topics. Now that we have the required tools, we can carry out high-throughput trace investigations that incorporate both gustatory and olfactory signals. Flavoromics: An Integrated Approach to Flavor and Sensory Assessment describes the tools to do high-throughput, trace analyses that represent both taste and olfaction stimuli. It explains how today's single sample research will generate thousands of data points, which are loaded into sophisticated statistical analysis algorithms to establish what stimuli are responsible for flavor. This cutting-edge equipment will enable us to create flavorings and perfumes that are more realistic and superior. Key Features: Includes a detailed section on data handling/mining Section 4 describes a broad overview of different food matrices Points out the integration of flavoromics with advanced separation methods, data management, statistical modeling, and variable selection This book represents a revolutionary tool waiting to help make better, truer to life flavorings and fragrances.
Book Synopsis From Data to Discovery: The Essential Guide to Big Data Analytics by : Dr.J.Premalatha
Download or read book From Data to Discovery: The Essential Guide to Big Data Analytics written by Dr.J.Premalatha and published by SK Research Group of Companies. This book was released on 2024-02-27 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.J.Premalatha, Vice Principal, Dhanalakshmi Srinivasan Arts and Science(Co-Ed) College, Mamallapuram, Chennai, Tamil Nadu, India. Dr.K.Kalaiselvi, Professor, Department of Data Analytics, Saveetha College of Liberal Arts and Sciences, SIMATS, Chennai, Tamil Nadu, India. Dr.A.Senthilkumar, Assistant Professor, Department of Computer Science with Data Analytics, Sri Ramakrishna College of Arts & Science, Coimbatore, Tamil Nadu, India.
Download or read book Nanotoxicology written by Vineet Kumar and published by CRC Press. This book was released on 2018-03-12 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the application of nanotechnology in the myriad disciplines of science and engineering--from agriculture, pharmaceuticals, material science, and biotechnology to sensors, electronics, and mechanical and electrical engineering--brings benefits it also can produce serious threats to human health and the environment that must be evaluated. The unique properties of nanomaterials make them different from their bulk counterparts. In addition to such unique properties, the nanometric size of nanomaterials can invite some detrimental effects on the health and well-being of living organisms and the environment. Thus, it is important to distinguish nanomaterials with such ill effects from nanomaterials with no or minimum toxicity. Nanotoxicology: Toxicity Evaluation, Risk Assessment and Management covers issues such as the basic principles of nanotoxicity, methods used for nanotoxicity evaluation, risk assessment and its management for nanomaterial toxicity with a focus on current trends, limitations, challenges, and future directions of nanotoxicity evaluation. Various experts from different countries discuss these issues in detail in this book. This will be helpful to researchers, educators, and students who are interested in research opportunities for avoiding the environmental and health hazards of nanomaterials. This book will also be useful for industrial practitioners, policy makers, and other professionals in the fields of toxicology, medicine, pharmacology, food, drugs, and other regulatory sciences.
Book Synopsis VUCA and Other Analytics in Business Resilience by : Deepmala Singh
Download or read book VUCA and Other Analytics in Business Resilience written by Deepmala Singh and published by Emerald Group Publishing. This book was released on 2024-05-13 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume brings together specialists from different disciplines and continents to discuss descriptive/diagnostic, predictive, and prescriptive analytics tools and how they might be used to investigate 'black swan' occurrences like the COVID-19-related worldwide catastrophe and the ramifications for managers and policymakers.
Book Synopsis Progress in the Chemistry of Organic Natural Products 110 by : A. Douglas Kinghorn
Download or read book Progress in the Chemistry of Organic Natural Products 110 written by A. Douglas Kinghorn and published by Springer Nature. This book was released on 2019-10-16 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book summarizes important aspects of cheminformatics that are relevant for natural product research. It highlights cheminformatics tools that help to match natural products with their respective biological targets or off-targets, and discusses the potential and limitations of this approach.
Book Synopsis Essentials of Pharmatoxicology in Drug Research, Volume 1 by : Rakesh Kumar Tekade
Download or read book Essentials of Pharmatoxicology in Drug Research, Volume 1 written by Rakesh Kumar Tekade and published by Elsevier. This book was released on 2023-03-23 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: Toxicity and Toxicodynamics, Volume One in the Essentials of Pharmatoxicology in Drug Research series provides an overview on the essentials of toxicology, risk assessment and the mechanisms. Topics discussed include the types of cellular responses to chemical toxicants, mechanisms of drug toxicity, and their relevance to pharmaceutical product development. The book examines omics and computer-aided technologies for mechanistic and predictive toxicology and covers state-of-art testing in the evaluation of detrimental pathways, dose selection in toxicity studies, as well as the role of regulatory agencies in toxicity studies. In addition, there is also discussion on clinical interventions such as pharmacotherapy and managed care strategies for acute poisoning. This volume is a valuable resource to those learning more about the drug development process related to toxicology and those who want to get an update on newer concepts on the toxicology aspect of drug research. Examines toxicological risk assessment in drug research Discusses toxicity mechanisms Covers risk assessment and the use of omics and computational technologies in mechanistic and predictive toxicology Offers clinical interventions and managed care as a result of toxic injury and acute poisoning
Book Synopsis Data Analytics Made Easy by : Andrea De Mauro
Download or read book Data Analytics Made Easy written by Andrea De Mauro and published by Packt Publishing Ltd. This book was released on 2021-08-30 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to gain insights from your data as well as machine learning and become a presentation pro who can create interactive dashboards Key FeaturesEnhance your presentation skills by implementing engaging data storytelling and visualization techniquesLearn the basics of machine learning and easily apply machine learning models to your dataImprove productivity by automating your data processesBook Description Data Analytics Made Easy is an accessible beginner's guide for anyone working with data. The book interweaves four key elements: Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don't worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers. Learn to create focused content with a well-structured story behind it to captivate your audience. Automating your data workflows – Improve your productivity by automating your data analysis. This book introduces you to the open-source platform, KNIME Analytics Platform. You'll see how to use this no-code and free-to-use software to create a KNIME workflow of your data processes just by clicking and dragging components. Machine learning – Data Analytics Made Easy describes popular machine learning approaches in a simplified and visual way before implementing these machine learning models using KNIME. You'll not only be able to understand data scientists' machine learning models; you'll be able to challenge them and build your own. Creating interactive dashboards – Follow the book's simple methodology to create professional-looking dashboards using Microsoft Power BI, giving users the capability to slice and dice data and drill down into the results. What you will learnUnderstand the potential of data and its impact on your businessImport, clean, transform, combine data feeds, and automate your processesInfluence business decisions by learning to create engaging presentationsBuild real-world models to improve profitability, create customer segmentation, automate and improve data reporting, and moreCreate professional-looking and business-centric visuals and dashboardsOpen the lid on the black box of AI and learn about and implement supervised and unsupervised machine learning modelsWho this book is for This book is for beginners who work with data and those who need to know how to interpret their business/customer data. The book also covers the high-level concepts of data workflows, machine learning, data storytelling, and visualizations, which are useful for managers. No previous math, statistics, or computer science knowledge is required.
Book Synopsis Data Science For Dummies by : Lillian Pierson
Download or read book Data Science For Dummies written by Lillian Pierson and published by John Wiley & Sons. This book was released on 2017-02-21 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here’s what to expect: Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL Explains machine learning and many of its algorithms as well as artificial intelligence and the evolution of the Internet of Things Details data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate It's a big, big data world out there—let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.
Book Synopsis Data Science Tools by : Christopher Greco
Download or read book Data Science Tools written by Christopher Greco and published by Mercury Learning and Information. This book was released on 2020-05-14 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using Microsoft Excel, KNIME, R, and OpenOffice (Spreadsheet). Each of these tools will be used to apply statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis using real data from Federal Government sources. Features: Analyzes data using popular applications such as Excel, R, KNIME, and OpenOffice Covers statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis Capstone exercises analyze data using the different software packages
Book Synopsis Data Analysis, Machine Learning and Applications by : Christine Preisach
Download or read book Data Analysis, Machine Learning and Applications written by Christine Preisach and published by Springer Science & Business Media. This book was released on 2008-04-13 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
Author :City of London College of Economics Publisher :City of London College of Economics ISBN 13 : Total Pages :2653 pages Book Rating :4./5 ( download)
Book Synopsis Data Scientist Diploma (master's level) - City of London College of Economics - 6 months - 100% online / self-paced by : City of London College of Economics
Download or read book Data Scientist Diploma (master's level) - City of London College of Economics - 6 months - 100% online / self-paced written by City of London College of Economics and published by City of London College of Economics. This book was released on with total page 2653 pages. Available in PDF, EPUB and Kindle. Book excerpt: Overview This diploma course covers all aspects you need to know to become a successful Data Scientist. Content - Getting Started with Data Science - Data Analytic Thinking - Business Problems and Data Science Solutions - Introduction to Predictive Modeling: From Correlation to Supervised Segmentation - Fitting a Model to Data - Overfitting and Its Avoidance - Similarity, Neighbors, and Clusters Decision Analytic Thinking I: What Is a Good Model? - Visualizing Model Performance - Evidence and Probabilities - Representing and Mining Text - Decision Analytic Thinking II: Toward Analytical Engineering - Other Data Science Tasks and Techniques - Data Science and Business Strategy - Machine Learning: Learning from Data with Your Machine. - And much more Duration 6 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link.
