Search results for Bayesian Modeling

Found 122 documents, 5934 searched:

• Fast and Intuitive Statistical Modeling with Pomegranate

  Pomegranate is a delicious fruit. It can also be a super useful Python library for statistical analysis. We will show how in this article.

  https://www.kdnuggets.com/2020/12/fast-intuitive-statistical-modeling-pomegranate.html

• Essential Resources to Learn Bayesian Statistics">Essential Resources to Learn Bayesian Statistics

  If you are interesting in becoming better at statistics and machine learning, then some time should be invested in diving deeper into Bayesian Statistics. While the topic is more advanced, applying these fundamentals to your work will advance your understanding and success as an ML expert.

  https://www.kdnuggets.com/2020/07/essential-resources-learn-bayesian-statistics.html

• XGBoost and Random Forest® with Bayesian Optimisation

  This article will explain how to use XGBoost and Random Forest with Bayesian Optimisation, and will discuss the main pros and cons of these methods.

  https://www.kdnuggets.com/2019/07/xgboost-random-forest-bayesian-optimisation.html

• Topic Modeling with LSA, PLSA, LDA & lda2Vec">Topic Modeling with LSA, PLSA, LDA & lda2Vec

  This article is a comprehensive overview of Topic Modeling and its associated techniques.

  https://www.kdnuggets.com/2018/08/topic-modeling-lsa-plsa-lda-lda2vec.html

• How Bayesian Networks Are Superior in Understanding Effects of Variables

  Bayes Nets have remarkable properties that make them better than many traditional methods in determining variables’ effects. This article explains the principle advantages.

  https://www.kdnuggets.com/2017/11/bayesian-networks-understanding-effects-variables.html

• E-learning courses on Advanced Analytics, Credit Risk Modeling, and Fraud Analytics

  These online courses, developed by Prof. Bart Baesens and SAS, include videos, case studies, quizzes, and focus on focusses on the concepts and modeling methodologies and not on specific software.

  https://www.kdnuggets.com/2017/04/sas-elearning-advanced-analytics-credit-risk-modeling-fraud.html

• What is Structural Equation Modeling?">What is Structural Equation Modeling?

  Structural Equation Modeling (SEM) is an extremely broad and flexible framework for data analysis, perhaps better thought of as a family of related methods rather than as a single technique. What is its relevance to Marketing Research?

  https://www.kdnuggets.com/2017/03/structural-equation-modeling.html

• Introduction to Bayesian Inference

  Bayesian inference is a powerful toolbox for modeling uncertainty, combining researcher understanding of a problem with data, and providing a quantitative measure of how plausible various facts are. This overview from Datascience.com introduces Bayesian probability and inference in an intuitive way, and provides examples in Python to help get you started.

  https://www.kdnuggets.com/2016/12/datascience-introduction-bayesian-inference.html

• Bayesian Machine Learning, Explained">Bayesian Machine Learning, Explained

  Want to know about Bayesian machine learning? Sure you do! Get a great introductory explanation here, as well as suggestions where to go for further study.
   
   

  https://www.kdnuggets.com/2016/07/bayesian-machine-learning-explained.html

• Bayesian and Causal Software

  Overview pages | commercial | free Kevin Murphy's Bayesian Network Software Packages page Google's list of Bayes net software. commercial: AgenaRisk, visual tool, combining Bayesian Read more »

  https://www.kdnuggets.com/software/bayesian.html

• Unlocking the Power of Numbers in Health Economics and Outcomes Research

  Learn about the quantitative challenges that are present in HEOR research and how statistics can be used to address these issues.

  https://www.kdnuggets.com/2023/07/unlocking-power-numbers-health-economics-outcomes-research.html

• Want To Get Good At Time Series Forecasting? Predict The Weather

  This article is designed to help the reader understand the components of a time series.

  https://www.kdnuggets.com/2021/04/time-series-forecasting-predict-weather.html

• Working With Time Series Using SQL">Working With Time Series Using SQL

  This article is an overview of using SQL to manipulate time series data.

  https://www.kdnuggets.com/2021/04/time-series-using-sql.html

• Does Your Company Need a Data Scientist?

  Your company needs a data scientist... doesn't it? It very well may not, but you need to know either way. Read on to determine whether or not your company could benefit from the skills of an on-board data scientist.

  https://www.kdnuggets.com/2016/04/your-company-need-data-scientist.html

• 5 Free Books to Master Statistics for Data Science

  Statistics is a must-have skill for data science. And here are 5 free books that’ll help you learn all the statistics you need as a data professional.

  https://www.kdnuggets.com/5-free-books-to-master-statistics-for-data-science

• Mastering NLP Job Interviews

  What is NLP, and what types of questions related to NLP can you expect at the NLP-related job interviews?

  https://www.kdnuggets.com/2022/10/nlp-interview-questions.html

• 9 Free Harvard Courses to Learn Data Science

  Learn Python programming, statistics, and machine learning online from one of the world’s top universities.

  https://www.kdnuggets.com/2022/05/9-free-harvard-courses-learn-data-science-2022.html

• 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 2

  Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.

  https://www.kdnuggets.com/2023/02/20-questions-detect-fake-data-scientists-chatgpt-2.html

• Top Data Analyst Certification Courses for 2022

  Top certification courses by IBM, Edureka, DataCamp, Udacity, and Google.

  https://www.kdnuggets.com/2022/11/top-data-analyst-certification-courses-2022.html

• The Gap Between Deep Learning and Human Cognitive Abilities

  How do we bridge this gap between deep learning and human cognitive ability?

  https://www.kdnuggets.com/2022/10/gap-deep-learning-human-cognitive-abilities.html

• Data Science, Statistics and Machine Learning Dictionary

  Check out this curated list of the most used data science terminology and get a leg up on your learning.

  https://www.kdnuggets.com/2022/05/data-science-statistics-machine-learning-dictionary.html

• Uncertainty Quantification in Artificial Intelligence-based Systems

  The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain.

  https://www.kdnuggets.com/2022/04/uncertainty-quantification-artificial-intelligencebased-systems.html

• Top 5 Free Machine Learning Courses

  Give a boost to your career and learn job-ready machine learning skills by taking the best free online courses.

  https://www.kdnuggets.com/2022/02/top-5-free-machine-learning-courses.html

• 10 Key AI & Data Analytics Trends for 2022 and Beyond

  What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.

  https://www.kdnuggets.com/2021/12/10-key-ai-trends-for-2022.html

• Feature Selection: Where Science Meets Art

  From heuristic to algorithmic feature selection techniques for data science projects.

  https://www.kdnuggets.com/2021/12/feature-selection-science-meets-art.html

• Inside recommendations: how a recommender system recommends

  We describe types of recommender systems, more specifically, algorithms and methods for content-based systems, collaborative filtering, and hybrid systems.

  https://www.kdnuggets.com/2021/11/recommendations-recommender-system.html

• 7 of The Coolest Machine Learning Topics of 2021 at ODSC West

  At our upcoming event this November 16th-18th in San Francisco, ODSC West 2021 will feature a plethora of talks, workshops, and training sessions on machine learning topics, deep learning, NLP, MLOps, and so on. You can register now for 20% off all ticket types, or register for a free AI Expo Pass to see what some big names in AI are doing now.

  https://www.kdnuggets.com/2021/11/odsc-7-coolest-machine-learning-topics.html

• Most Common Data Science Interview Questions and Answers">Most Common Data Science Interview Questions and Answers

  After analyzing 900+ data science interview questions from companies over the past few years, the most common data science interview question categories are reviewed in this guide, each explained with an example.

  https://www.kdnuggets.com/2021/08/common-data-science-interview-questions-answers.html

• Building Machine Learning Pipelines using Snowflake and Dask

  In this post, I want to share some of the tools that I have been exploring recently and show you how I use them and how they helped improve the efficiency of my workflow. The two I will talk about in particular are Snowflake and Dask. Two very different tools but ones that complement each other well especially as part of the ML Lifecycle.

  https://www.kdnuggets.com/2021/07/building-machine-learning-pipelines-snowflake-dask.html

• Must Know for Data Scientists and Data Analysts: Causal Design Patterns">Must Know for Data Scientists and Data Analysts: Causal Design Patterns

  Industry is a prime setting for observational causal inference, but many companies are blind to causal measurement beyond A/B tests. This formula-free primer illustrates analysis design patterns for measuring causal effects from observational data.

  https://www.kdnuggets.com/2021/03/causal-design-patterns.html

• 10 Underappreciated Python Packages for Machine Learning Practitioners">10 Underappreciated Python Packages for Machine Learning Practitioners

  Here are 10 underappreciated Python packages covering neural architecture design, calibration, UI creation and dissemination.

  https://www.kdnuggets.com/2021/01/10-underappreciated-python-packages-machine-learning-practitioners.html

• Algorithms for Advanced Hyper-Parameter Optimization/Tuning

  In informed search, each iteration learns from the last, whereas in Grid and Random, modelling is all done at once and then the best is picked. In case for small datasets, GridSearch or RandomSearch would be fast and sufficient. AutoML approaches provide a neat solution to properly select the required hyperparameters that improve the model’s performance.

  https://www.kdnuggets.com/2020/11/algorithms-for-advanced-hyper-parameter-optimization-tuning.html

• DeepMind Relies on this Old Statistical Method to Build Fair Machine Learning Models

  Causal Bayesian Networks are used to model the influence of fairness attributes in a dataset.

  https://www.kdnuggets.com/2020/10/deepmind-relies-statistical-method-build-fair-machine-learning-models.html

• Your Guide to Linear Regression Models

  This article explains linear regression and how to program linear regression models in Python.

  https://www.kdnuggets.com/2020/10/guide-linear-regression-models.html

• The Best Free Data Science eBooks: 2020 Update">The Best Free Data Science eBooks: 2020 Update

  The author has updated their list of best free data science books for 2020. Read on to see what books you should grab.

  https://www.kdnuggets.com/2020/09/best-free-data-science-ebooks-2020-update.html

• The Insiders’ Guide to Generative and Discriminative Machine Learning Models

  In this article, we will look at the difference between generative and discriminative models, how they contrast, and one another.

  https://www.kdnuggets.com/2020/09/insiders-guide-generative-discriminative-machine-learning-models.html

• Top Online Masters in Analytics, Business Analytics, Data Science – Updated">Top Online Masters in Analytics, Business Analytics, Data Science – Updated

  We provide an updated list of best online Masters in AI, Analytics, and Data Science, including rankings, tuition, and duration of the education program.

  https://www.kdnuggets.com/2020/09/best-online-masters-data-science-analytics-online.html

• Microsoft’s DoWhy is a Cool Framework for Causal Inference

  Inspired by Judea Pearl’s do-calculus for causal inference, the open source framework provides a programmatic interface for popular causal inference methods.

  https://www.kdnuggets.com/2020/08/microsoft-dowhy-framework-causal-inference.html

• DeepMind’s Three Pillars for Building Robust Machine Learning Systems

  Specification Testing, Robust Training and Formal Verification are three elements that the AI powerhouse believe hold the essence of robust machine learning models.

  https://www.kdnuggets.com/2020/08/deepmind-three-pillars-building-robust-machine-learning-systems.html

• Practical Markov Chain Monte Carlo

  This is a slightly more intricate example of MCMC, compared to many with a fairly simple model, a single predictor (maybe two), and not much else, which highlights a couple of issues and tricks worth noting for a handwritten implementation.

  https://www.kdnuggets.com/2020/06/practical-markov-chain-monte-carlo.html

• Free Economics & Finance Courses for Data Scientists

  Here is a selection of courses for those interested in diversifying their domain knowledge into the related realms of economics and finance, with the goal of being able to apply your data science skills to these domains.

  https://www.kdnuggets.com/2020/06/free-economics-finance-courses-data-scientists.html

• AI and Machine Learning for Healthcare">AI and Machine Learning for Healthcare

  Traditional business and technology sectors are not the only fields being impacted by AI. Healthcare is a field that is thought to be highly suitable for the applications of AI tools and techniques.

  https://www.kdnuggets.com/2020/05/ai-machine-learning-healthcare.html

• Deep Learning: The Free eBook">Deep Learning: The Free eBook

  "Deep Learning" is the quintessential book for understanding deep learning theory, and you can still read it freely online.

  https://www.kdnuggets.com/2020/05/deep-learning-free-ebook.html

• 10 Best Machine Learning Textbooks that All Data Scientists Should Read

  Check out these 10 books that can help data scientists and aspiring data scientists learn machine learning today.

  https://www.kdnuggets.com/2020/04/10-best-machine-learning-textbooks-data-scientists.html

• State of the Machine Learning and AI Industry

  Enterprises are struggling to launch machine learning models that encapsulate the optimization of business processes. These are now the essential components of data-driven applications and AI services that can improve legacy rule-based business processes, increase productivity, and deliver results. In the current state of the industry, many companies are turning to off-the-shelf platforms to increase expectations for success in applying machine learning.

  https://www.kdnuggets.com/2020/04/machine-learning-ai-industry.html

• Free Mathematics Courses for Data Science & Machine Learning">Free Mathematics Courses for Data Science & Machine Learning

  It's no secret that mathematics is the foundation of data science. Here are a selection of courses to help increase your maths skills to excel in data science, machine learning, and beyond.

  https://www.kdnuggets.com/2020/02/free-mathematics-courses-data-science-machine-learning.html

• NLP Year in Review — 2019

  In this blog post, I want to highlight some of the most important stories related to machine learning and NLP that I came across in 2019.

  https://www.kdnuggets.com/2020/01/nlp-year-review-2019.html

• The Data Science Interview Study Guide

  Preparing for a job interview can be a full-time job, and Data Science interviews are no different. Here are 121 resources that can help you study and quiz your way to landing your dream data science job.

  https://www.kdnuggets.com/2020/01/data-science-interview-study-guide.html

• Automated Machine Learning: How do teams work together on an AutoML project?">Automated Machine Learning: How do teams work together on an AutoML project?

  In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.

  https://www.kdnuggets.com/2020/01/teams-work-together-automl-project.html

• Artificial Friend or Virtual Foe

  Is AI making more good than harm?

  https://www.kdnuggets.com/2019/12/artificial-friend-virtual-foe.html

• Data Science Curriculum Roadmap">Data Science Curriculum Roadmap

  What follows is a set of broad recommendations, and it will inevitably require a lot of adjustments in each implementation. Given that caveat, here are our curriculum recommendations.

  https://www.kdnuggets.com/2019/12/data-science-curriculum-roadmap.html

• DeepMind is Using This Old Technique to Evaluate Fairness in Machine Learning Models

  Visualizing the datasets is an essential component to identify potential sources of bias and unfairness. DeepMind relied on a method called Causal Bayesian networks (CBNs) to represent and estimate unfairness in a dataset.

  https://www.kdnuggets.com/2019/10/deepmind-using-old-technique-evaluate-fairness-machine-learning-models.html

• Artificial Intelligence: Salaries Heading Skyward

  While the average salary for a Software Engineer is around $100,000 to $150,000, to make the big bucks you want to be an AI or Machine Learning (Specialist/Scientist/Engineer.)

  https://www.kdnuggets.com/2019/10/artificial-intelligence-salaries-heading-skyward.html

• 10 Free Top Notch Natural Language Processing Courses">10 Free Top Notch Natural Language Processing Courses

  Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics.

  https://www.kdnuggets.com/2019/10/10-free-top-notch-courses-natural-language-processing.html

• 12 Deep Learning Researchers and Leaders">12 Deep Learning Researchers and Leaders

  Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.

  https://www.kdnuggets.com/2019/09/12-deep-learning-research-leaders.html

• Explore the world of Bioinformatics with Machine Learning">Explore the world of Bioinformatics with Machine Learning

  The article contains a brief introduction of Bioinformatics and how a machine learning classification algorithm can be used to classify the type of cancer in each patient by their gene expressions.

  https://www.kdnuggets.com/2019/09/explore-world-bioinformatics-machine-learning.html

• BERT, RoBERTa, DistilBERT, XLNet: Which one to use?

  Lately, varying improvements over BERT have been shown — and here I will contrast the main similarities and differences so you can choose which one to use in your research or application.

  https://www.kdnuggets.com/2019/09/bert-roberta-distilbert-xlnet-one-use.html

• Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference">Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference

  Researchers from MIT recently unveiled a new probabilistic programming language named Gen, a language which allow researchers to write models and algorithms from multiple fields where AI techniques are applied without having to deal with equations or manually write high-performance code.

  https://www.kdnuggets.com/2019/07/introducing-gen-language-progammable-inference.html

• Why you’re not a job-ready data scientist (yet)">Why you’re not a job-ready data scientist (yet)

  Trying to snag a dream Data Science job, but can't seem to land one? Check out these four skills that companies really want and be prepared for your next interview.

  https://www.kdnuggets.com/2019/07/not-job-ready-data-scientist-yet.html

• If you’re a developer transitioning into data science, here are your best resources"> If you’re a developer transitioning into data science, here are your best resources

  This article will provide a background on the data scientist role and why your background might be a good fit for data science, plus tangible stepwise actions that you, as a developer, can take to ramp up on data science.

  https://www.kdnuggets.com/2019/06/developer-transitioning-data-science-best-resources.html

• 2019 Best Masters in Data Science and Analytics – Online

  We provide an updated comprehensive and objective survey of online Masters in Analytics and Data Science, including rankings, tuition, and duration of the education program.

  https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-online.html

• Why Data Scientists Need To Work In Groups">Why Data Scientists Need To Work In Groups

  If you read this article you will see that the job of data scientist is NOT listed. The rest of this article will explore why it is true that data scientists need to work in groups.

  https://www.kdnuggets.com/2019/04/why-data-scientists-need-work-groups.html

• Spatio-Temporal Statistics: A Primer

  Marketing scientist Kevin Gray asks University of Missouri Professor Chris Wikle about Spatio-Temporal Statistics and how it can be used in science and business.

  https://www.kdnuggets.com/2019/04/spatio-temporal-statistics-primer.html

• Towards Automatic Text Summarization: Extractive Methods

  The basic idea looks simple: find the gist, cut off all opinions and detail, and write a couple of perfect sentences, the task inevitably ended up in toil and turmoil. Here is a short overview of traditional approaches that have beaten a path to advanced deep learning techniques.

  https://www.kdnuggets.com/2019/03/towards-automatic-text-summarization.html

• Cracking the Data Scientist Interview

  After interviewing with over 50 companies for Data Scientist/Machine Learning Engineer, I am going to frame my experiences in the Q&A format and try to debunk any myths that beginners may have in their quest for becoming a Data Scientist.

  https://www.kdnuggets.com/2019/01/cracking-data-scientist-interview.html

• Building AI to Build AI: The Project That Won the NeurIPS AutoML Challenge

  This is an overview of designing a computer program capable of developing predictive models without any manual intervention that are trained & evaluated in a lifelong machine learning setting in NeurIPS 2018 AutoML3 Challenge.

  https://www.kdnuggets.com/2019/01/building-ai-to-build-ai-neurips-automl-challenge.html

• Top Active Blogs on AI, Analytics, Big Data, Data Science, Machine Learning – updated

  Stay up-to-date with the latest technological advancements using our extensive list of active blogs; this is a list of 100 recently active blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence.

  https://www.kdnuggets.com/2019/01/active-blogs-ai-analytics-data-science.html

• A comprehensive list of Machine Learning Resources: Open Courses, Textbooks, Tutorials, Cheat Sheets and more

  A thorough collection of useful resources covering statistics, classic machine learning, deep learning, probability, reinforcement learning, and more.

  https://www.kdnuggets.com/2018/12/finlayson-machine-learning-resources.html

• AI Knowledge Map: How To Classify AI Technologies">AI Knowledge Map: How To Classify AI Technologies

  What follows is then an effort to draw an architecture to access knowledge on AI and follow emergent dynamics, a gateway of pre-existing knowledge on the topic that will allow you to scout around for additional information and eventually create new knowledge on AI.

  https://www.kdnuggets.com/2018/08/ai-knowledge-map-classify-ai-technologies.html

• Interpreting a data set, beginning to end

  Detailed knowledge of your data is key to understanding it! We review several important methods that to understand the data, including summary statistics with visualization, embedding methods like PCA and t-SNE, and Topological Data Analysis.

  https://www.kdnuggets.com/2018/08/interpreting-data-set.html

• Key Algorithms and Statistical Models for Aspiring Data Scientists">Key Algorithms and Statistical Models for Aspiring Data Scientists

  This article provides a summary of key algorithms and statistical techniques commonly used in industry, along with a short resource related to these techniques.

  https://www.kdnuggets.com/2018/04/key-algorithms-statistical-models-aspiring-data-scientists.html

• A Guide to Hiring Data Scientists

  This article provides a short overview of emerging data scientist types and their unique skillsets, as well as a guide for HR professionals and analytics managers who are looking to hire their first data scientists or build a data science team. Included are an overview of skills for each type and specific questions that can be asked to assess candidates.

  https://www.kdnuggets.com/2018/02/guide-hiring-data-scientists.html

• 5 Things You Need To Know About Data Science

  Here are 5 useful things to know about Data Science, including its relationship to BI, Data Mining, Predictive Analytics, and Machine Learning; Data Scientist job prospects; where to learn Data Science; and which algorithms/methods are used by Data Scientists

  https://www.kdnuggets.com/2018/02/5-things-about-data-science.html

• 5 Machine Learning Projects You Should Not Overlook">5 Machine Learning Projects You Should Not Overlook

  It's about that time again... 5 more machine learning or machine learning-related projects you may not yet have heard of, but may want to consider checking out!

  https://www.kdnuggets.com/2018/02/5-machine-learning-projects-overlook-feb-2018.html

• The 10 Statistical Techniques Data Scientists Need to Master">The 10 Statistical Techniques Data Scientists Need to Master

  The author presents 10 statistical techniques which a data scientist needs to master. Build up your toolbox of data science tools by having a look at this great overview post.

  https://www.kdnuggets.com/2017/11/10-statistical-techniques-data-scientists-need-master.html

• Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey">Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey

  The first comprehensive and objective survey of online Masters in Analytics / Data Science, including rankings, tuition, and duration of the education program.

  https://www.kdnuggets.com/2017/11/best-online-masters-analytics-data-science.html

• Statistical Mistakes Even Scientists Make

  Scientists are all experts in statistics, right? Wrong.

  https://www.kdnuggets.com/2017/10/statistical-mistakes-even-scientists-make.html

• How To Lie With Numbers

  It takes less effort to lie without numbers, but there are now more numbers and more ways to lie with them than ever before. Poor Reverend Bayes, who understood the true meaning of "evidence".

  https://www.kdnuggets.com/2017/09/how-lie-with-numbers.html

• Vital Statistics You Never Learned… Because They’re Never Taught

  Marketing scientist Kevin Gray asks Professor Frank Harrell about some important things we often get wrong about statistics.

  https://www.kdnuggets.com/2017/08/vital-statistics-never-learned-never-taught.html

• Machine Learning vs. Statistics: The Texas Death Match of Data Science">Machine Learning vs. Statistics: The Texas Death Match of Data Science

  Throughout its history, Machine Learning (ML) has coexisted with Statistics uneasily, like an ex-boyfriend accidentally seated with the groom’s family at a wedding reception: both uncertain where to lead the conversation, but painfully aware of the potential for awkwardness.

  https://www.kdnuggets.com/2017/08/machine-learning-vs-statistics.html

• The Machine Learning Algorithms Used in Self-Driving Cars">The Machine Learning Algorithms Used in Self-Driving Cars

  Machine Learning applications include evaluation of driver condition or driving scenario classification through data fusion from different external and internal sensors. We examine different algorithms used for self-driving cars.

  https://www.kdnuggets.com/2017/06/machine-learning-algorithms-used-self-driving-cars.html

• Which Machine Learning Algorithm Should I Use?">Which Machine Learning Algorithm Should I Use?

  A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is "which algorithm should I use?” The answer to the question varies depending on many factors, including the size, quality, and nature of data, the available computational time, and more.

  https://www.kdnuggets.com/2017/06/which-machine-learning-algorithm.html

• Regression Analysis: A Primer

  Despite the popularity of Regression, it is also misunderstood. Why? The answer might surprise you: There is no such thing as Regression. Rather, there are a large number of statistical methods that are called Regression, all of which are based on a shared statistical foundation.

  https://www.kdnuggets.com/2017/02/regression-analysis-primer.html

• 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

• 90 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning (updated)

  Stay up-to-date in the data science with active blogs. This is a list of 90 recently active blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence.

  https://www.kdnuggets.com/2017/01/blogs-analytics-big-data-mining-data-science-machine-learning.html

• Academic, Research Positions in Big Data, Data Mining, Data Science, Machine Learning

    To add here a short entry for an academic or research position related to AI, Big Data, Data Science, or Machine Learning, email 5 Read more »

  https://www.kdnuggets.com/academic/index.html

• The Great Algorithm Tutorial Roundup

  This is a collection of tutorials relating to the results of the recent KDnuggets algorithms poll. If you are interested in learning or brushing up on the most used algorithms, as per our readers, look here for suggestions on doing so!

  https://www.kdnuggets.com/2016/09/great-algorithm-tutorial-roundup.html

• Top Algorithms and Methods Used by Data Scientists">Top Algorithms and Methods Used by Data Scientists

  Latest KDnuggets poll identifies the list of top algorithms actually used by Data Scientists, finds surprises including the most academic and most industry-oriented algorithms.

  https://www.kdnuggets.com/2016/09/poll-algorithms-used-data-scientists.html

• The 10 Algorithms Machine Learning Engineers Need to Know">The 10 Algorithms Machine Learning Engineers Need to Know

  Read this introductory list of contemporary machine learning algorithms of importance that every engineer should understand.

  https://www.kdnuggets.com/2016/08/10-algorithms-machine-learning-engineers.html

• What Statistics Topics are Needed for Excelling at Data Science?

  Here is a list of skills and statistical concepts suggested for excelling at data science, roughly in order of increasing complexity.

  https://www.kdnuggets.com/2016/08/statistics-topics-needed-excelling-data-science.html

• Statistical Data Analysis in Python

  This tutorial will introduce the use of Python for statistical data analysis, using data stored as Pandas DataFrame objects, taking the form of a set of IPython notebooks.

  https://www.kdnuggets.com/2016/07/statistical-data-analysis-python.html

• Data Science of Variable Selection: A Review

  There are as many approaches to selecting features as there are statisticians since every statistician and their sibling has a POV or a paper on the subject. This is an overview of some of these approaches.

  https://www.kdnuggets.com/2016/06/data-science-variable-selection-review.html

• 100 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning

  Stay on top of your data science skills game! Here’s a list of about 100 most active and interesting blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence.

  https://www.kdnuggets.com/2016/03/100-active-blogs-analytics-big-data-science-machine-learning.html

• Netflix Prize Analyzed: Movie Ratings and Recommender Systems

  A 195-page monograph by a top-1% Netflix Prize contestant. Learn about the famous machine learning competition. Improve your machine learning skills. Learn how to build recommender systems.

  https://www.kdnuggets.com/2016/03/netflix-prize-analyzed-movie-ratings-recommender-systems.html

• 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

• 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

• Applied Statistics Is A Way Of Thinking, Not Just A Toolbox

  The choice of tools in applied statistics is driven by the objective, the structure of the data, and the nature of the uncertainty in the numbers, whereas in academic statistics its driven by publishing or teaching. Here we provide some of common statistical tools and the overlapping genealogy.

  https://www.kdnuggets.com/2015/05/applied-statistics-thinking-not-toolbox.html

• More Free Data Mining, Data Science Books and Resources

  More free resources and online books by leading authors about data mining, data science, machine learning, predictive analytics and statistics.

  https://www.kdnuggets.com/2015/03/free-data-mining-data-science-books-resources.html

• KDnuggets™ News 14:n23, Sep 3

  Features | Software | News | Opinions | Interviews | Reports | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n23.html

• KDnuggets™ News 14:n08, Apr 3

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  https://www.kdnuggets.com/2014/n08.html

• KDnuggets™ News 14:n06, Mar 19

  Features (11) | News (3) | Software (6) | Webcasts (3) | Courses (5) | Competitions (3) | Meetings (6) | Jobs (3) | Academic Read more »

  https://www.kdnuggets.com/2014/n06.html

• Unicorn Data Scientists vs Data Science Teams

  A recent post has generated an intense discussion about finding "unicorn" data scientists with a combination of all the needed skills, or whether that skillset is best filled by a team. Here are the highlights, including a proposal how to train well-rounded data scientists.

  https://www.kdnuggets.com/2013/12/unicorn-data-scientists-vs-data-science-teams-discussion.html

• 2013 Dec Publications: Analytics, Big Data, Data Mining and Data Science

  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/publications.html

• 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

• 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

• Genetic Programming, Rough Sets, Fuzzy Logic, and other classification software

  commercial: BLIASoft Knowledge Discovery software, for building models from data based mainly on fuzzy logic. Datalogic, professional tool for knowledge acquisition, classification, predictive modelling based Read more »

  https://www.kdnuggets.com/software/classification-other.html

• 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

• Blogs on AI, Analytics, Data Science, Machine Learning

  Here are some of the most interesting and regularly-updated blogs on Analytics, Big Data, Data Science, Data Mining, and Machine Learning, in alphabetical order. Blog Read more »

  https://www.kdnuggets.com/websites/blogs.html

• Neural Network Software for Classification

  Neural Network Sites Neural Network FAQ list, includes free and commercial software, maintained by Warren Sarle of SAS. Portal for Forecasting with neural networks, including Read more »

  https://www.kdnuggets.com/software/classification-neural.html

• 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

• Open Source Data Science Masters Curriculum

  A good collection of open source resources for Data Science Masters Curriculum, covering Math, Algorithms, Databases, Data Mining, Machine Learning, Natural Language Processing, Data Analysis and Visualization, and Python.

  https://www.kdnuggets.com/2013/12/open-source-data-science-masters-curriculum.html

• Fraud Detection Solutions

  AccessPay fraud detection software alerts businesses to fraudulent activity before payments are sent. Alaric Systems "Fractals" card fraud detection and prevention systems using proprietary inference Read more »

  https://www.kdnuggets.com/solutions/fraud-detection.html

• Data Providers, Data Cleansing, Data Cleaning

  The following companies provide customer-oriented data as well as data cleansing (cleaning) and matching services. Acxiom, leading provider of data content and data management services. Read more »

  https://www.kdnuggets.com/solutions/data-cleaning.html

• 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

• Is Data Science The End of Statistics? A Discussion

  Here is an interesting discussion on LinkedIn, started by a provocative post "Data Science: The End of Statistics?" What is the relationship between Data Science and Statistics and in what sense are "Statistics" ending?

  https://www.kdnuggets.com/2013/04/data-science-end-statistics-discussion.html

• 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

• Rules-based Software for Classification

  commercial Compumine Rule Discovery System, has a complete coverage of rule-based predictive modeling methods for both classification and regression, with a user-friendly interface. Datamite, enables Read more »

  https://www.kdnuggets.com/software/classification-rules.html

• Decision Tree Software for Classification

  commercial | free AC2, provides graphical tools for data preparation and builing decision trees. Alice d'Isoft 6.0, a streamlined version of ISoft's decision-tree-based AC2 data-mining Read more »

  https://www.kdnuggets.com/software/classification-decision-tree.html

• Software for Classification using multiple approaches

  commercial: | free 11Ants Model Builder, upgrades Microsoft Excel into a powerful, simple to use data mining / predictive analytics tool, with regression, classification and Read more »

  https://www.kdnuggets.com/software/classification-multi.html

• 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

• Companies with Analytics, Data Mining, Data Science, and Machine Learning Products

  A B C D E F G H I J K L M N O P Q R S T U V W XYZ Advanced Read more »

  https://www.kdnuggets.com/companies/products.html

• Consulting Companies in AI, Analytics, Data Science, and Machine Learning

  A B C D E F G H I J K L M N O P Q R S T U V W XYZ 4i, Read more »

  https://www.kdnuggets.com/companies/consulting.html