Machine Learning With Knime Analytics Platform
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Machine Learning With Knime Analytics Platform
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Author : Nickholas Anting
language : en
Publisher:
Release Date : 2020
Machine Learning With Knime Analytics Platform written by Nickholas Anting and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Data mining categories.
"Machine Learning with KNIME Analytics Platform is a book written for those who want to learn about fundamental of machine learning and how to create a machine learning workflow using KNIME Analytics Platform. The book will teach user how to create a machine learning workflow, step-by-step; from data preparation until model validation and deployment in predictive analytics task. NO CODING requires. Only drag-and-drop mechanism with intuitive functioning nodes. Design for professional individual in various industries who work with data. KNIME Analytics Platform is a visual programming tools that allow user to process data and build their machine learning algorithm with drag-and-drop mechanism of the functioning node. It is an open-source and free software package for data science with full function. NO CODING needed."--Back cover
Codeless Deep Learning With Knime
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Author : Kathrin Melcher
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-11-27
Codeless Deep Learning With Knime written by Kathrin Melcher 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 2020-11-27 with Computers categories.
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.
The Basics Of Working With Knime Analytics Platform
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Author : Barbora Štětinová
language : en
Publisher: Barbora Štětinová
Release Date : 2024-01-01
The Basics Of Working With Knime Analytics Platform written by Barbora Štětinová and has been published by Barbora Štětinová this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-01 with Computers categories.
Unlock the power of data with KNIME and transform your analytics skills - no programming required! In a world driven by data, mastering the right tools can be your greatest advantage. The Basics of Working with KNIME Analytics Platform is your ultimate guide to navigating and harnessing the full potential of KNIME, one of the most powerful and user-friendly platforms for data analysis and machine learning. Written by data analytics expert Barbora Štětinová, this comprehensive guide simplifies complex data processes through hands-on examples and practical workflows. Whether you're a business analyst, a data science enthusiast, or a professional looking to automate your data tasks, this book equips you with the knowledge to transform data into actionable insights. What You'll Learn: Effortless Data Preparation: Load, filter, and transform data with simple drag-and-drop nodes, eliminating the need for coding.Powerful Data Manipulation: Master techniques for data joining, aggregation, and cleaning to make your data analysis efficient and accurate.Insightful Data Visualization: Create compelling charts and dashboards to communicate your findings effectively.Machine Learning Made Easy: Build predictive models and deploy them using KNIME's intuitive interface, complete with real-world examples.Best Practices and Tips: Discover expert tips for optimizing your workflows and learn how to handle common challenges in data analytics. With easy-to-follow explanations, step-by-step guides, and engaging examples, this book turns beginners into proficient KNIME users and empowers experienced professionals to expand their analytical capabilities. By the end, you'll be able to create, evaluate, and deploy sophisticated data workflows that drive value and insight across your projects. Get ready to revolutionize your data analytics journey with KNIME!
Fun With Machine Learning
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Author : Arockia Liborious
language : en
Publisher: BPB Publications
Release Date : 2023-03-23
Fun With Machine Learning written by Arockia Liborious and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-23 with Computers categories.
Learn how to use AutoML to leverage Machine Learning for solving business problems KEY FEATURES ● Get familiar with the common machine learning problems and understand how to solve them. ● Understand the importance of different types of data and how to work with them effectively. ● Learn how to use machine learning and AutoML tools to solve real-world problems. DESCRIPTION “Fun with Machine Learning” is an essential guide for anyone looking to learn about machine learning and how it can be used to make informed business decisions. The book covers the basics of machine learning, providing an overview of key concepts and terminology. To fully understand machine learning, it is important to have a basic understanding of statistics and mathematics. The book provides a simple introduction to these topics, making it easy for you to understand the core concepts. One of the key features of the book is its focus on AutoML tools. It introduces you to different AutoML tools and explains how to use them to simplify the data science processes. The book also shows how machine learning can be used to solve real-world business problems, such as predicting customer churn, detecting fraud, and optimizing marketing campaigns. By the end of the book, you will be able to transform raw data into actionable insights with machine learning. WHAT YOU WILL LEARN ● Get a clear understanding of what machine learning is and how it works. ● Learn how to perform regression analysis using Orange. ● Understand how to implement classification In machine learning. ● Get to know more about the clustering and association algorithms. ● Analyze, visualize, manipulate, and forecast time series data with Orange. WHO THIS BOOK IS FOR This book is for Machine Learning engineers, Machine Learning enthusiasts, Data Scientists, beginners, and students who are looking to implement machine learning techniques to solve real-life business problems. It is also a great resource for business leaders who are responsible for making data-driven decisions. TABLE OF CONTENTS 1. Significance of Machine Learning in Today’s Business 2. Know Your Data 3. Up and Running With Analytical Tools 4. Machine Learning in a Nutshell 5. Regression Analysis 6. Classification 7. Clustering and Association 8. Time Series Forecasting 9. Image Analysis 10. Tips and Tricks
Data Analytics Made Easy
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Author : Andrea De Mauro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-08-30
Data Analytics Made Easy written by Andrea De Mauro 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 2021-08-30 with Business & Economics categories.
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.
Data Mining And Machine Learning Applications
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Author : Rohit Raja
language : en
Publisher: John Wiley & Sons
Release Date : 2022-01-26
Data Mining And Machine Learning Applications written by Rohit Raja and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-26 with Computers categories.
DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data. Massive datasets can be classified and clustered to obtain accurate results. The most common technologies used include classification and clustering methods. Accuracy and error rates are calculated for regression and classification and clustering to find actual results through algorithms like support vector machines and neural networks with forward and backward propagation. Applications include fraud detection, image processing, medical diagnosis, weather prediction, e-commerce and so forth. The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies and future research directions used to meet the design and application requirements of several modern and real-time applications for a long time, The scope and implementation of a majority of data mining and machine learning strategies. A discussion of real-time problems. Audience Industry and academic researchers, scientists, and engineers in information technology, data science and machine and deep learning, as well as artificial intelligence more broadly.
Predictive Analytics
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Author : Dursun Delen
language : en
Publisher: FT Press
Release Date : 2020-12-15
Predictive Analytics written by Dursun Delen and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-15 with Business & Economics categories.
Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions. In this thoroughly updated guide, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers key data mining processes and methods, relevant data management techniques, tools and metrics, advanced text and web mining, big data integration, and much more. Balancing theory and practice, Delen presents intuitive conceptual illustrations, realistic example problems, and real-world case studies—including lessons from failed projects. It's all designed to help you gain a practical understanding you can apply for profit. * Leverage knowledge extracted via data mining to make smarter decisions * Use standardized processes and workflows to make more trustworthy predictions * Predict discrete outcomes (via classification), numeric values (via regression), and changes over time (via time-series forecasting) * Understand predictive algorithms drawn from traditional statistics and advanced machine learning * Discover cutting-edge techniques, and explore advanced applications ranging from sentiment analysis to fraud detection
Introduction To Machine Learning In The Cloud With Python
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Author : Pramod Gupta
language : en
Publisher: Springer Nature
Release Date : 2021-04-28
Introduction To Machine Learning In The Cloud With Python written by Pramod Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-28 with Technology & Engineering categories.
This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.
Introduction To Machine Learning With Security
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Author : Pramod Gupta
language : en
Publisher: Springer Nature
Release Date : 2024-07-12
Introduction To Machine Learning With Security written by Pramod Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Technology & Engineering categories.
This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.
Big Data Machine Learning And Data Mining Explained
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Author : Chitrali Kaul
language : en
Publisher: Educohack Press
Release Date : 2025-02-28
Big Data Machine Learning And Data Mining Explained written by Chitrali Kaul and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Computers categories.
Big Data, Machine Learning, and Data Mining Explained is an essential guide for understanding the world of big data, data mining, and machine learning. This book is perfect for students, professionals, and anyone eager to learn about these rapidly evolving technologies and their profound impact on our world. We provide comprehensive explanations of big data, data mining, and machine learning, making complex algorithms and models easy to understand. This book covers all key terms and processes, offering insights into how these technologies are transforming industries and markets. You'll also gain a glimpse into the future and understand the career opportunities in these fields. We delve into how big data is revolutionizing business practices, enhancing growth, and improving customer reach. Data mining techniques are explained in detail, showcasing how they help in decision-making and predicting trends. Furthermore, we explore machine learning, a branch of artificial intelligence, highlighting its role in processing data through advanced models and algorithms. Designed to be accessible and informative, Big Data, Machine Learning, and Data Mining Explained will help you navigate and thrive in this world of emerging technologies.