Machine Learning With Knime Analytics Platform
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Machine Learning with KNIME Analytics Platform
"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
Author: Kathrin Melcher
language: en
Publisher: Packt Publishing Ltd
Release Date: 2020-11-27
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
Author: Barbora Štětinová
language: en
Publisher: Barbora Štětinová
Release Date: 2024-01-01
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!