Data mining and machine learning software
KNIME (/naɪm/), the Konstanz Information Miner, is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept. A graphical user interface and use of JDBC allows assembly of nodes blending different data sources, including preprocessing (ETL: Extraction, Transformation, Loading), for modeling, data analysis and visualization without, or with only minimal, programming. Since 2006, KNIME has been used in pharmaceutical research, it also used in other areas such as CRM customer data analysis, business intelligence, text mining and financial data analysis. Recently attempts were made to use KNIME as robotic process automation (RPA) tool. KNIME's headquarters are based in Zurich, with additional offices in Konstanz, Berlin, and Austin (USA). (Wikipedia).
What is Machine Learning / KNN Example
Overview of the problems in machine learning and an example of a machine learning algorithm: k-nearest neighbors.
From playlist Machine Learning
From playlist k-Nearest Neighbor Algorithm
Deep Learning with KNIME | Future of Data & AI | Data Science Dojo
Typically, when we think of deep learning applications we think of complex coding in languages like Python where packages such as Tensorflow and Keras can be leveraged. KNIME Analytics Platform is an open source, no or low code software. This tutorial will provide theoretical and practi
From playlist Future of Data and AI: Tutorials
Reliable and Reusable Python Script Sharing With KNIME
In large organizations, higher productivity results from collaboration on preferred tools. Regardless of the tools your data team prefers, KNIME offers a solution for fast and productive collaboration! Python scripts can now be made available to all the KNIME users in the organization in a
From playlist Getting Started with Data Engineering
Top 10 Data Analytics Tools 2020 | Best Tools for Data Analysis | Data Analytics Training | Edureka
🔥Edureka Data Analyst Master's Program: https://www.edureka.co/masters-program/data-analyst-certification This session on Top 10 Data Analytics Tools and Techniques will give you a brief understanding of top tools present in the market of data analysis. The following are the list of tools
From playlist Data Analytics with R Tutorial Videos
Time Series Analysis with the KNIME Analytics Platform
In this session, you’ll learn about the main concepts behind Time Series: preprocessing, alignment, missing value imputation, forecasting, and evaluation. Together we will build a demand prediction application: first with (S)ARIMA models and then with machine learning models. The codeless
From playlist Advanced Machine Learning
A Friendly Introduction to Codeless Deep Learning with KNIME Analytics Platform
Recent deep learning architectures have brought us solutions to previously unsolved problems. Nevertheless, for most tools, you still need to overcome the coding barrier. In the first part of this webinar, you will learn about the main concepts behind deep learning: from the artificial neu
From playlist Fundamentals of Machine Learning
Top Machine Learning Tools and Frameworks for Beginners | Machine Learning Tutorial | Edureka
🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai This Edureka video is a part of the Machine Learning Tutorial that will provide you with a list of the Top Machine Learning tools and Framewor
From playlist Machine Learning with R | Edureka
Approaches to Fraud Detection: Autoencoder, Isolation Forest and More
“Experts estimate federal government losses from potential fraud at nearly $150 billion” and new data shows the federal trade commission received 2.8 million reports of fraud in 2021 from consumers. In this webinar, we liked to show how to fight fraud with KNIME, a free and low-code tool,
From playlist Fundamentals of Machine Learning
O'Reilly Webcast: Enterprise Data Workflows with Cascading
In this hands-on webcast presented by Paco Nathan author of Enterprise Data Workflows with Cascading, he will discuss what defines a "workflow", in contrast to notions of "dataflow" and the impact that has on the tools required. Overall, we're talking about middleware for Big Data — how t
From playlist O'Reilly Webcasts 3
Clojure - the Reader and Evaluator (4/4)
Part of a series teaching the Clojure language. For other programming topics, visit http://codeschool.org
From playlist the Clojure language
Learn Data Science Tutorial - Full Course for Beginners
Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the "sexiest job of the 21st century." You'll learn the important elements of data science. You'll be introduced to the principles, practices, and tools that make data science the powerful me
From playlist Data Science
Data Science Full Course for Beginner | Data Science Tutorial
In this complete data science course you will learn each and everything you need to know in order to be a data scientist. This #datascience course is beginner friendly. You will know about what data science is and how to do data science and what is required to do data science practically.
From playlist Data Science