Search results for weka
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More Data Mining with Weka
This online course teaches both principles and practical data mining techniques, lets students work on very big datasets, classify text, experiment with clustering, and much more.https://www.kdnuggets.com/2014/01/more-data-mining-weka.html
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A Comparative Overview of the Top 10 Open Source Data Science Tools in 2023
Are you looking for the open source tools to help you in your data science journey? Look no further. Discover these game-changers that will elevate your data-driven decisions.https://www.kdnuggets.com/a-comparative-overview-of-the-top-10-open-source-data-science-tools-in-2023
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Working with Big Data: Tools and Techniques
Where do you start in a field as vast as big data? Which tools and techniques to use? We explore this and talk about the most common tools in big data.https://www.kdnuggets.com/working-with-big-data-tools-and-techniques
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KDnuggets News, June 14: GPT4All Your Free Local ChatGPT! • Falcon LLM: The Open-Source King
GPT4All is the Local ChatGPT for your Documents and it is Free! • Falcon LLM: The New King of Open-Source LLMs • Getting Started with ReactPy • Mastering the Art of Data Storytelling: A Guide for Data Scientists • How to Optimize SQL Queries for Faster Data Retrievalhttps://www.kdnuggets.com/2023/n22.html
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7 Best Libraries for Machine Learning Explained
Learn about machine learning libraries for building and deploying machine learning models.https://www.kdnuggets.com/2023/01/7-best-libraries-machine-learning-explained.html
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AutoML: An Introduction Using Auto-Sklearn and Auto-PyTorch
AutoML is a broad category of techniques and tools for applying automated search to your automated search and learning to your learning. In addition to Auto-Sklearn, the Freiburg-Hannover AutoML group has also developed an Auto-PyTorch library. We’ll use both of these as our entry point into AutoML in the following simple tutorial.https://www.kdnuggets.com/2021/10/automl-introduction-auto-sklearn-auto-pytorch.html
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Eight Data Science Specializations, and Why You Should Pick One
With so many Data Science specializations, where should you focus? The Pace University online Master of Science in Data Science features elective courses which allow you to focus on topics that suit your career path so that you can begin to develop a unique specialization.https://www.kdnuggets.com/2021/10/pace-eight-data-science-specializations.html
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Introduction to Automated Machine Learning
AutoML enables developers with limited ML expertise (and coding experience) to train high-quality models specific to their business needs. For this article, we will focus on AutoML systems which cater to everyday business and technology applications.https://www.kdnuggets.com/2021/09/introduction-automated-machine-learning.html
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What makes a winning entry in a Machine Learning competition?
So you want to show your grit in a Kaggle-style competition? Many, many others have the same idea, including domain experts and non-experts, and academic and corporate teams. What does it take for your bright ideas and skills to come out on top of thousands of competitors?https://www.kdnuggets.com/2021/05/winning-machine-learning-competition.html
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Top 10 Must-Know Machine Learning Algorithms for Data Scientists – Part 1
New to data science? Interested in the must-know machine learning algorithms in the field? Check out the first part of our list and introductory descriptions of the top 10 algorithms for data scientists to know.https://www.kdnuggets.com/2021/04/top-10-must-know-machine-learning-algorithms-data-scientists-1.html
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Past 2021 Meetings / Online Events on AI, Analytics, Big Data, Data Science, and Machine Learning
Past | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec Read more »https://www.kdnuggets.com/meetings/past-meetings-2021.html
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Data Science and Machine Learning: The Free eBook
Check out the newest addition to our free eBook collection, Data Science and Machine Learning: Mathematical and Statistical Methods, and start building your statistical learning foundation today.https://www.kdnuggets.com/2020/12/data-science-machine-learning-free-ebook.html
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Automated Machine Learning: The Free eBook">Automated Machine Learning: The Free eBook
There is a lot to learn about automated machine learning theory and practice. This free eBook can get you started the right way.https://www.kdnuggets.com/2020/05/automated-machine-learning-free-ebook.html
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Can Java Be Used for Machine Learning and Data Science?">Can Java Be Used for Machine Learning and Data Science?
While Python and R have become favorites for building these programs, many organizations are turning to Java application development to meet their needs. Read on to see how, and why.https://www.kdnuggets.com/2020/04/java-used-machine-learning-data-science.html
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Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS"> Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS
Data science jobs continue to grow in 2019, and this report shares the change and spread of jobs by software over recent years.https://www.kdnuggets.com/2019/06/data-science-jobs-report.html
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What you need to know: The Modern Open-Source Data Science/Machine Learning Ecosystem">What you need to know: The Modern Open-Source Data Science/Machine Learning Ecosystem
We identify the 6 tools in the modern open-source Data Science ecosystem, examine the Python vs R question, and determine which tools are used the most with Deep Learning and Big Data.https://www.kdnuggets.com/2019/06/top-data-science-machine-learning-tools.html
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Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis">Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis
Python continues to lead the top Data Science platforms, but R and RapidMiner hold their share; Almost 50% have used Deep Learning tools; SQL is steady; Consolidation continues.https://www.kdnuggets.com/2019/05/poll-top-data-science-machine-learning-platforms.html
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3 Reasons Why AutoML Won’t Replace Data Scientists Yet
We dispel the myth that AutoML is replacing Data Scientists jobs by highlighting three factors in Data Science development that AutoML can’t solve.https://www.kdnuggets.com/2019/03/why-automl-wont-replace-data-scientists.html
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The Essence of Machine Learning">The Essence of Machine Learning
And so now, as an exercise in what may seem to be semantics, let's explore some 30,000 feet definitions of what machine learning is.https://www.kdnuggets.com/2018/12/essence-machine-learning.html
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How will automation tools change data science?
This article provides an overview of recent trends in machine learning and data science automation tools and addresses how those tools will change data science.https://www.kdnuggets.com/2018/12/automation-data-science.html
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Text Preprocessing in Python: Steps, Tools, and Examples
We outline the basic steps of text preprocessing, which are needed for transferring text from human language to machine-readable format for further processing. We will also discuss text preprocessing tools.https://www.kdnuggets.com/2018/11/text-preprocessing-python.html
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Introduction to Deep Learning
I decided to begin to put some structure in my understanding of Neural Networks through this series of articles.https://www.kdnuggets.com/2018/09/introduction-deep-learning.html
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The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?">The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?
We find 6 tools form the modern open source Data Science / Machine Learning ecosystem; examine whether Python declared victory over R; and review which tools are most associated with Deep Learning and Big Data.https://www.kdnuggets.com/2018/06/ecosystem-data-science-python-victory.html
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Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis">Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis
Python continues to eat away at R, RapidMiner gains, SQL is steady, Tensorflow advances pulling along Keras, Hadoop drops, Data Science platforms consolidate, and more.https://www.kdnuggets.com/2018/05/poll-tools-analytics-data-science-machine-learning-results.html
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5 Things You Need to Know about Big Data">5 Things You Need to Know about Big Data
We take a look at five things you need to know about Big Data.https://www.kdnuggets.com/2018/03/5-things-big-data.html
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Natural Language Processing Library for Apache Spark – free to use
Introducing the Natural Language Processing Library for Apache Spark - and yes, you can actually use it for free! This post will give you a great overview of John Snow Labs NLP Library for Apache Spark.https://www.kdnuggets.com/2017/11/natural-language-processing-library-apache-spark.html
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Using GRAKN.AI to Detect Patterns in Credit Fraud Data
The term Horn Clause Mining, similar to Rule Based Machine Learning or Inductive Logic Programming, is used to describe the inverse of this functionality. Given a large enough knowledge base, can we infer rules that describe the data accurately?https://www.kdnuggets.com/2017/08/grakn-ai-detect-patterns-credit-fraud-data.html
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New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll">New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll
Python caught up with R and (barely) overtook it; Deep Learning usage surges to 32%; RapidMiner remains top general Data Science platform; Five languages of Data Science.
https://www.kdnuggets.com/2017/05/poll-analytics-data-science-machine-learning-software-leaders.html
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Top R Packages for Machine Learning
What are the most popular ML packages? Let's look at a ranking based on package downloads and social website activity.https://www.kdnuggets.com/2017/02/top-r-packages-machine-learning.html
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The Current State of Automated Machine Learning
What is automated machine learning (AutoML)? Why do we need it? What are some of the AutoML tools that are available? What does its future hold? Read this article for answers to these and other AutoML questions.https://www.kdnuggets.com/2017/01/current-state-automated-machine-learning.html
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Linear Regression, Least Squares & Matrix Multiplication: A Concise Technical Overview
Linear regression is a simple algebraic tool which attempts to find the “best” line fitting 2 or more attributes. Read here to discover the relationship between linear regression, the least squares method, and matrix multiplication.https://www.kdnuggets.com/2016/11/linear-regression-least-squares-matrix-multiplication-concise-technical-overview.html
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Parallelism in Machine Learning: GPUs, CUDA, and Practical Applications
The lack of parallel processing in machine learning tasks inhibits economy of performance, yet it may very well be worth the trouble. Read on for an introductory overview to GPU-based parallelism, the CUDA framework, and some thoughts on practical implementation.https://www.kdnuggets.com/2016/11/parallelism-machine-learning-gpu-cuda-threading.html
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Decision Tree Classifiers: A Concise Technical Overview
The decision tree is one of the oldest and most intuitive classification algorithms in existence. This post provides a straightforward technical overview of this brand of classifiers.https://www.kdnuggets.com/2016/10/decision-trees-concise-technical-overview.html
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MDL Clustering: Unsupervised Attribute Ranking, Discretization, and Clustering
MDL Clustering is a free software suite for unsupervised attribute ranking, discretization, and clustering based on the Minimum Description Length principle and built on the Weka Data Mining platform.https://www.kdnuggets.com/2016/08/mdl-clustering-unsupervised-attribute-ranking-discretization-clustering.html
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Contest Winner: Winning the AutoML Challenge with Auto-sklearn
This post is the first place prize recipient in the recent KDnuggets blog contest. Auto-sklearn is an open-source Python tool that automatically determines effective machine learning pipelines for classification and regression datasets. It is built around the successful scikit-learn library and won the recent AutoML challenge.https://www.kdnuggets.com/2016/08/winning-automl-challenge-auto-sklearn.html
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Top Machine Learning Libraries for Javascript
Javascript may not be the conventional choice for machine learning, but there is no reason it cannot be used for such tasks. Here are the top libraries to facilitate machine learning in Javascript.https://www.kdnuggets.com/2016/06/top-machine-learning-libraries-javascript.html
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R, Python Duel As Top Analytics, Data Science software – KDnuggets 2016 Software Poll Results
R remains the leading tool, with 49% share, but Python grows faster and almost catches up to R. RapidMiner remains the most popular general Data Science platform. Big Data tools used by almost 40%, and Deep Learning usage doubles.https://www.kdnuggets.com/2016/06/r-python-top-analytics-data-mining-data-science-software.html
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5 Machine Learning Projects You Can No Longer Overlook
We all know the big machine learning projects out there: Scikit-learn, TensorFlow, Theano, etc. But what about the smaller niche projects that are actively developed, providing useful services to users? Here are 5 such projects.https://www.kdnuggets.com/2016/05/five-machine-learning-projects-cant-overlook.html
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Top 15 Frameworks for Machine Learning Experts
Either you are a researcher, start-up or big organization who wants to use machine learning, you will need the right tools to make it happen. Here is a list of the most popular frameworks for machine learning.https://www.kdnuggets.com/2016/04/top-15-frameworks-machine-learning-experts.html
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R Learning Path: From beginner to expert in R in 7 steps
This learning path is mainly for novice R users that are just getting started but it will also cover some of the latest changes in the language that might appeal to more advanced R users.https://www.kdnuggets.com/2016/03/datacamp-r-learning-path-7-steps.html
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AutoML: Automated Data Science and Machine Learning
For recent posts and more recent lists of AutoML and Automated Data Science, see Tag: AutoML. ABM: Automatic Business Modeler, automatically builds accurate and interpretable Read more »https://www.kdnuggets.com/software/automated-data-science.html
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60+ Free Books on Big Data, Data Science, Data Mining, Machine Learning, Python, R, and more
Here is a great collection of eBooks written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science.https://www.kdnuggets.com/2015/09/free-data-science-books.html
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Top 20 R Machine Learning and Data Science packages
We list out the top 20 popular Machine Learning R packages by analysing the most downloaded R packages from Jan-May 2015.https://www.kdnuggets.com/2015/06/top-20-r-machine-learning-packages.html
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Which Big Data, Data Mining, and Data Science Tools go together?
We analyze the associations between the top Big Data, Data Mining, and Data Science tools based on the results of 2015 KDnuggets Software Poll. Download anonymized data and analyze it yourself.https://www.kdnuggets.com/2015/06/data-mining-data-science-tools-associations.html
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R leads RapidMiner, Python catches up, Big Data tools grow, Spark ignites
R is the most popular overall tool among data miners, although Python usage is growing faster. RapidMiner continues to be most popular suite for data mining/data science. Hadoop/Big Data tools usage grew to 29%, propelled by 3x growth in Spark. Other tools with strong growth include H2O (0xdata), Actian, MLlib, and Alteryx.https://www.kdnuggets.com/2015/05/poll-r-rapidminer-python-big-data-spark.html
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Top 10 Data Mining Algorithms, Explained
Top 10 data mining algorithms, selected by top researchers, are explained here, including what do they do, the intuition behind the algorithm, available implementations of the algorithms, why use them, and interesting applications.https://www.kdnuggets.com/2015/05/top-10-data-mining-algorithms-explained.html
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Most Viewed Data Mining Videos on YouTube
The top Data Mining YouTube videos by those like Google and Revolution Analytics covers topics ranging from statistics in data mining to using R for data mining to data mining in sports.https://www.kdnuggets.com/2015/05/most-viewed-data-mining-videos-youtube.html
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Machine Learning Table of Elements Decoded
Machine learning packages for Python, Java, Big Data, Lua/JS/Clojure, Scala, C/C++, CV/NLP, and R/Julia are represented using a cute but ill-fitting metaphor of a periodic table. We extract the useful links.https://www.kdnuggets.com/2015/03/machine-learning-table-elements.html
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Text Analysis 101: Document Classification
Document classification is an example of Machine Learning (ML) in the form of Natural Language Processing (NLP). By classifying text, we are aiming to assign one or more classes or categories to a document, making it easier to manage and sort.https://www.kdnuggets.com/2015/01/text-analysis-101-document-classification.html
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KDnuggets™ News 14:n30, Nov 19
Features | Software | Opinions | Interviews | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »https://www.kdnuggets.com/2014/n30.html
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Most Viewed Data Mining Talks at Videolectures
Watch the top 25 most viewed popular data mining lectures on VideoLectures.NET to learn about topics ranging general big-data tutorials to monetizing data mining startups.https://www.kdnuggets.com/2014/09/most-viewed-data-mining-talks-videolectures.html
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OpenML: Share, Discover and Do Machine Learning
OpenML is designed to share, organize and reuse data, code and experiments, so that scientists can make discoveries more efficiently. It is an interesting idea to build a network of machine learning.https://www.kdnuggets.com/2014/08/openml-share-discover-do-machine-learning.html
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Interview: Michael Berthold, President and Founder of KNIME, on Data Mining, Startups, and Visual Workflow
We discuss KNIME key features and how it compares to competition, KNIME business model, Pharma, planned development, and transition from an academic project to a company.https://www.kdnuggets.com/2014/08/interview-michael-berthold-knime-data-mining-startup-visual-workflow-part1.html
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KDnuggets Analytics, Data Mining, Data Science Software Poll – Analyzed
We analyze the results of KDnuggets Software Poll, including correlations between tools, and relationships between commercial, free, and Hadoop/Big Data tools. We identify a potential capability gap. Download anonymized data and analyze it yourself.https://www.kdnuggets.com/2014/06/analytics-data-mining-data-science-software-poll-analyzed.html
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KDnuggets 15th Annual Analytics, Data Mining, Data Science Software Poll: RapidMiner Continues To Lead
With over 3,000 data miners taking part in KDnuggets 15th Annual Software Poll, RapidMiner continues to lead. Free software is used much more outside US, and Hadoop usage grows fastest in Asia.https://www.kdnuggets.com/2014/06/kdnuggets-annual-software-poll-rapidminer-continues-lead.html
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KDnuggets™ News 14:n03, Feb 5
Features (9) | Software (4) | Webcasts (2) | Courses, Events (9) | Meetings (3) | Jobs (9) | Academic (3) | Competitions (1) | Publications (7) | Tweets (7) | NewsBriefs (3) | CFP (14) | Quote Features Top Trends in Analytics and Big Data ahead of Strata 2014 Read more »https://www.kdnuggets.com/2014/n03.html
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2014 Jan: Analytics, Big Data, Data Mining and Data Science News
All (84) | News, Software (26) | Courses, Events (30) | Publications (15) | Top Tweets (13) AltaPlana 2014 Text Analytics Market Study - Read more »https://www.kdnuggets.com/2014/01/index-old.html
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2013 Dec Courses and Events: Analytics, Big Data, Data Mining and Data Science
All (95) | News, Software (27) | Courses, Events (12) | Jobs | Academic | Publications (38) Replay: What Lies Ahead for Big Data and Read more »https://www.kdnuggets.com/2013/12/courses-events.html
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2013 Dec: Analytics, Big Data, Data Mining and Data Science News
All (95) | News, Software (27) | Courses, Events (12) | Jobs | Academic | Publications (38) Unicorn Data Scientists vs Data Science Teams - Read more »https://www.kdnuggets.com/2013/12/index.html
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Where to start with Data Mining and Data Science
Gregory Piatetsky answer: You can best learn data mining and data science by doing, so start analyzing data as soon as you can! However, don't Read more »https://www.kdnuggets.com/faq/learning-data-mining-data-science.html
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Clustering and Segmentation Software
Commercial Clustering Software BayesiaLab, includes Bayesian classification algorithms for data segmentation and uses Bayesian networks to automatically cluster the variables. ClustanGraphics3, hierarchical cluster analysis from Read more »https://www.kdnuggets.com/software/clustering.html
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Libraries and Development Kits for Data Mining
commercial: | free and open-source AC2 (from Isoft), a set of libraries for building data mining solutions on the server side. Analytics1305 Machine Learning Library, Read more »https://www.kdnuggets.com/software/libraries.html
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Are there open-source implementations of stochastic gradient boosting algorithm
described in Friedman, Jerome H. (1999a). Greedy Function Approximation: A Gradient Boosting Machine. Technical report, Dept. of Statistics, Stanford University. Friedman, Jerome H. (1999b). Stochastic Read more »https://www.kdnuggets.com/faq/stochastic-gradient-boosting.html
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KDnuggets™ News 13:n31, Dec 19
Features (8) | Software (3) | Webcasts (2) | Courses, Events (1) | Meetings (1) | Jobs (8) | Academic (1) | Competitions (1) | Publications Read more »https://www.kdnuggets.com/2013/n31.html
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Data Mining, Data Science, and Analytics News, Oct 2013
All (109) | News, Software (30) | Courses, Events (28) | Jobs | Academic | Publications (32) Adjunct Faculty, develop and teach courses Data Mining, Read more »https://www.kdnuggets.com/2013/10/index.html
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Data Mining / Analytic News, Sep 2013
News, Software (28) | Courses, Events (28) | Jobs | Academic | Publications (26) Predixion Launches OEM Predictive Analytics Program - Sep 30, 2013.Predixion enterprise-class, Read more »https://www.kdnuggets.com/2013/09/index.html
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7 Steps for Learning Data Mining and Data Science
[http likes 823] How to learn data mining and data science? I outline seven steps and point you to resources for becoming a data scientist.https://www.kdnuggets.com/2013/10/7-steps-learning-data-mining-data-science.html
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Data Mining / Analytic News, Jul 2013
Features (18) | Software (9) | Courses, Events (25) | Jobs | Academic | Competitions (3) | Publications (32) | News Briefs (5) Poll Results: Online Read more »https://www.kdnuggets.com/2013/07/index.html
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Mikut Data Mining Tools Big List – Update
An update of the Excel table describing 325 recent and historical data mining tools is now online (Excel format), 31 of them were added since the last update in November 2012. These new updated tools include new published tools and some well-established tools with a statistical background.https://www.kdnuggets.com/2013/09/mikut-data-mining-tools-big-list-update.html
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Too slow or out of memory problems in Machine Learning/Data Mining?
What are some of the problems in machine learning, data mining and related fields that you have difficulties with because they are too slow or need excessively large memory?https://www.kdnuggets.com/2013/03/too-slow-or-out-memory-problems-machine-learning-data-mining.html
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KDnuggets™ News 13:n24, Oct 8
Features (10) | Software (3) | Webcasts (4) | Courses, Events (4) | Meetings (2) | Jobs (7) | Academic (4) | Competitions (1) | Publications Read more »https://www.kdnuggets.com/2013/n24.html
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KDnuggets™ News 13:n23, Sep 24
Features (8) | Software (3) | Webcasts (2) | Courses, Events (4) | Meetings (3) | Jobs (10) | Academic (3) | Competitions (1) | Publications Read more »https://www.kdnuggets.com/2013/n23.html
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KDnuggets™ News 13:n21, Aug 28
Features (9) | Software (1) | Webcasts (2) | Courses, Events (3) | Meetings (4) | Jobs (5) | Academic (3) | Competitions (1) | Publications Read more »https://www.kdnuggets.com/2013/n21.html
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KDnuggets™ News 13:n17, July 17
Features (10) | Software (2) | Webcasts (3) | Courses, Events (3) | Meetings (4) | Jobs (4) | Academic (4) | Competitions (1) | Publications Read more »https://www.kdnuggets.com/2013/n17.html
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KDnuggets Annual Software Poll:RapidMiner and R vie for first place
The 2013 KDnuggets Software Poll was marked by a battle between RapidMiner and R for the first place. Surprisingly, commercial and free software maintained parity, with about 30% using each exclusively, and 40% using both. Only 10% used their own code - is analytics software maturing? Real Big Data is still done by a minority - only 1 in 7 used Hadoop or similar tools, same as last year.https://www.kdnuggets.com/2013/06/kdnuggets-annual-software-poll-rapidminer-r-vie-for-first-place.html
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Education in Analytics and Data Mining
Australia Deakin University Master of Business Analytics, Melbourne, Australia. James Cook University Master of Data Science Course, innovative, fully online course for professionals who recognise Read more »
in Australia and Pacifichttps://www.kdnuggets.com/education/australia-pacific.html
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Software Suites/Platforms for Analytics, Data Mining, Data Science, and Machine Learning
commercial | free/open source A B C D E F G H I J K L M N O PQ R S T U V Read more »https://www.kdnuggets.com/software/suites.html
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KDnuggets™ News 13:n10, Apr 17
Features (6) | Software (3) | Webcasts (1) | Courses, Events (1) | Meetings (3) | Jobs (4) | Competitions (1) | Publications (2) | Tweets Read more »https://www.kdnuggets.com/2013/n10.html
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3 Generations of Machine Learning and Data Mining Tools
Three different paradigms available for implementing Machine Learning (ML) algorithms both from the literature and from the open source community.https://www.kdnuggets.com/2013/02/3-generations-machine-learning-data-mining-tools.html