Search results for dbms

Found 88 documents, 5921 searched:

• 5 Free SQL Courses for Data Science Beginners

  Are you looking to make a career in data science? Start by learning SQL with these free courses.

  https://www.kdnuggets.com/5-free-sql-courses-for-data-science-beginners

• Boost Your Data Science Skills: The Essential SQL Certifications You Need

  If you are a data scientist who works with large amounts of data and hasn’t learned SQL yet - now might be the time.

  https://www.kdnuggets.com/boost-your-data-science-skills-the-essential-sql-certifications-you-need

• 5 Free Courses to Master SQL for Data Science

  Want to become an SQL expert? Check out these free courses to learn and hone your SQL skills for data science.

  https://www.kdnuggets.com/5-free-courses-to-master-sql-for-data-science

• A Step by Step Guide to Reading and Understanding SQL Queries

  Complex queries seem intimidating, but this guide gives you insight into how to work more easily with SQL queries.

  https://www.kdnuggets.com/a-step-by-step-guide-to-reading-and-understanding-sql-queries

• Data Cleaning in SQL: How To Prepare Messy Data for Analysis

  Want to clean your messy data so you can start analyzing it with SQL? Learn how to handle missing values, duplicate records, outliers, and much more.

  https://www.kdnuggets.com/data-cleaning-in-sql-how-to-prepare-messy-data-for-analysis

• Optimizing Data Storage: Exploring Data Types and Normalization in SQL

  Learn about the data types and normalization techniques in SQL, which will be very helpful for optimizing your data storage.

  https://www.kdnuggets.com/optimizing-data-storage-exploring-data-types-and-normalization-in-sql

• Data Management Principles for Data Science

  Back to Basics: Understanding key data management principles that data scientists should know.

  https://www.kdnuggets.com/data-management-principles-for-data-science

• Getting Started with SQL in 5 Steps

  This comprehensive SQL tutorial covers everything from setting up your SQL environment to mastering advanced concepts like joins, subqueries, and optimizing query performance. With step-by-step examples, this guide is perfect for beginners looking to enhance their data management skills.

  https://www.kdnuggets.com/5-steps-getting-started-with-sql

• Introduction to Databases in Data Science

  Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.

  https://www.kdnuggets.com/introduction-to-databases-in-data-science

• Why is DuckDB Getting Popular?

  DuckDB combines the simplicity and ease of use of SQLite with the analytical performance of specialized columnar databases. Learn more with Python examples.

  https://www.kdnuggets.com/2023/07/duckdb-getting-popular.html

• SQL Interviews Preparations Material Resources

  SQL is a must-known programming language for data people, and many modern jobs have SQL as a prerequisite. Here are material collections to prepare for your SQL interview.

  https://www.kdnuggets.com/2023/02/sql-interviews-preparations-material-resources.html

• Free Data Management with Data Science Learning with CS639

  Learn Data Management with Data Science for FREE with CS639.

  https://www.kdnuggets.com/2023/01/free-data-management-data-science-learning-cs639.html

• The Complete Data Engineering Study Roadmap

  Everything you need to know to start your career in Data Engineering.

  https://www.kdnuggets.com/2022/11/complete-data-engineering-study-roadmap.html

• 7 SQL Concepts You Should Know For Data Science

  The post explains all the key elements of SQL that you must know as a data science practitioner.

  https://www.kdnuggets.com/2022/11/7-sql-concepts-needed-data-science.html

• Fake It Till You Make It: Generating Realistic Synthetic Customer Datasets

  Finding the data you need is hard. So why not fake it?

  https://www.kdnuggets.com/2022/01/fake-realistic-synthetic-customer-datasets-projects.html

• Free SQL and Database Course

  Get up to speed on SQL and relational databases with this free video course.

  https://www.kdnuggets.com/2022/09/free-sql-database-course.html

• Everything You Need to Know About Data Lakehouses

  Learn everything you need to know about data lakehouses.

  https://www.kdnuggets.com/2022/09/everything-need-know-data-lakehouses.html

• The Complete Collection of Data Science Projects – Part 1

  The first part covers the list of Programming, Web scraping, Data Analytics, SQL, Business Intelligence, and Time Series projects.

  https://www.kdnuggets.com/2022/08/complete-collection-data-science-projects-part-1.html

• The Evolution of Apache Druid

  And so true to the origins of its name, Apache Druid is shapeshifting - with the addition of a new multi-stage query engine.

  https://www.kdnuggets.com/2022/07/evolution-apache-druid.html

• The Definitive Guide to Solving the Phantom Read in MySQL

  This article will cover how MySQL developers can troubleshoot the "write" skew that phantom reads can cause.

  https://www.kdnuggets.com/2022/06/definitive-guide-solving-phantom-read-mysql.html

• Database Key Terms, Explained

  Interested in a survey of important database concepts and terminology? This post concisely defines 16 essential database key terms.

  https://www.kdnuggets.com/2016/07/database-key-terms-explained.html

• 7 Steps to Mastering SQL for Data Science

  SQL is a must-know for anyone working in the data industry. Here’s how you can learn it from scratch

  https://www.kdnuggets.com/2022/04/7-steps-mastering-sql-data-science.html

• How to Answer Data Science Coding Interview Questions

  Use this checklist to make sure your answer to the data science coding interview questions is on the right track.

  https://www.kdnuggets.com/2022/01/answer-data-science-coding-interview-questions.html

• Top Programming Languages and Their Uses

  The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.

  https://www.kdnuggets.com/2021/05/top-programming-languages.html

• How To Build A Database Using Python">How To Build A Database Using Python

  Implement your database without handling the SQL using the Flask-SQLAlchemy library.

  https://www.kdnuggets.com/2021/09/build-database-using-python.html

• Build an Effective Data Analytics Team and Project Ecosystem for Success

  Apply these techniques to create a data analytics program that delivers solutions that delight end-users and meet their needs.

  https://www.kdnuggets.com/2021/04/build-effective-data-analytics-team-project-ecosystem-success.html

• Feature Store as a Foundation for Machine Learning

  With so many organizations now taking the leap into building production-level machine learning models, many lessons learned are coming to light about the supporting infrastructure. For a variety of important types of use cases, maintaining a centralized feature store is essential for higher ROI and faster delivery to market. In this review, the current feature store landscape is described, and you can learn how to architect one into your MLOps pipeline.

  https://www.kdnuggets.com/2021/02/feature-store-foundation-machine-learning.html

• Column-Oriented Databases, Explained

  NoSQL Databases have four distinct types. Key-value stores, document-stores, graph databases, and column-oriented databases. In this article, we’ll explore column-oriented databases, also known simply as “NoSQL columns”.

  https://www.kdnuggets.com/2021/02/understanding-nosql-database-types-column-oriented-databases.html

• Cloud Computing, Data Science and ML Trends in 2020–2022: The battle of giants">Cloud Computing, Data Science and ML Trends in 2020–2022: The battle of giants

  Kaggle’s survey of ‘State of Data Science and Machine Learning 2020’ covers a lot of diverse topics. In this post, we are going to look at the popularity of cloud computing platforms and products among the data science and ML professionals participated in the survey.

  https://www.kdnuggets.com/2021/01/cloud-computing-data-science-ml-trends-2020-2022-battle-giants.html

• Introduction to Data Engineering">Introduction to Data Engineering

  The Q&A for the most frequently asked questions about Data Engineering: What does a data engineer do? What is a data pipeline? What is a data warehouse? How is a data engineer different from a data scientist? What skills and programming languages do you need to learn to become a data engineer?

  https://www.kdnuggets.com/2020/12/introduction-data-engineering.html

• AI and Automation meets BI">AI and Automation meets BI

  Organizations use a variety of BI tools to analyze structured data. These tools are used for ad-hoc analysis, and for dashboards and reports that are essential for decision making. In this post, we describe a new set of BI tools that continue this trend.

  https://www.kdnuggets.com/2020/11/ai-automation-meets-bi.html

• 5 Most Useful Machine Learning Tools every lazy full-stack data scientist should use

  If you consider yourself a Data Scientist who can take any project from data curation to solution deployment, then you know there are many tools available today to help you get the job done. The trouble is that there are too many choices. Here is a review of five sets of tools that should turn you into the most efficient full-stack data scientist possible.

  https://www.kdnuggets.com/2020/11/5-useful-machine-learning-tools.html

• My Data Science Online Learning Journey on Coursera

  Check out the author's informative list of courses and specializations on Coursera taken to get started on their data science and machine learning journey.

  https://www.kdnuggets.com/2020/11/data-science-online-learning-journey-coursera.html

• Powerful CSV processing with kdb+

  This article provides a glimpse into the available tools to work with CSV files and describes how kdb+ and its query language q raise CSV processing to a new level of performance and simplicity.

  https://www.kdnuggets.com/2020/07/powerful-csv-processing-kdb.html

• Skills to Build for Data Engineering">Skills to Build for Data Engineering

  This article jumps into the latest skill set observations in the Data Engineering Job Market which could definitely add a boost to your existing career or assist you in starting off your Data Engineering journey.

  https://www.kdnuggets.com/2020/06/skills-build-data-engineering.html

• The Most Useful Machine Learning Tools of 2020

  This articles outlines 5 sets of tools every lazy full-stack data scientist should use.

  https://www.kdnuggets.com/2020/03/most-useful-machine-learning-tools-2020.html

• Everything a Data Scientist Should Know About Data Management">Everything a Data Scientist Should Know About Data Management

  For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.

  https://www.kdnuggets.com/2019/10/data-scientist-data-management.html

• The Last SQL Guide for Data Analysis You’ll Ever Need">The Last SQL Guide for Data Analysis You’ll Ever Need

  This is it: the last SQL guide for data analysis you'll ever need! OK, maybe it’s actually the first. But it’ll give you a solid head start.

  https://www.kdnuggets.com/2019/10/last-sql-guide-data-analysis-ever-need.html

• Automate your Python Scripts with Task Scheduler: Windows Task Scheduler to Scrape Alternative Data

  In this tutorial, you will learn how to run task scheduler to web scrape data from Lazada (eCommerce) website and dump it into SQLite RDBMS Database.

  https://www.kdnuggets.com/2019/09/automate-python-scripts-task-scheduler.html

• Top Handy SQL Features for Data Scientists">Top Handy SQL Features for Data Scientists

  Whenever we hear "data," the first thing that comes to mind is SQL! SQL comes with easy and quick to learn features to organize and retrieve data, as well as perform actions on it in order to gain useful insights.

  https://www.kdnuggets.com/2019/08/top-handy-sql-feature-data-scientist.html

• Can we trust AutoML to go on full autopilot?

  We put an AutoML tool to the test on a real-world problem, and the results are surprising. Even with automatic machine learning, you still need expert data scientists.

  https://www.kdnuggets.com/2019/07/automl-full-autopilot.html

• Is SQL needed to be a data scientist?

  As long as there is ‘data’ in data scientist, Structured Query Language (or see-quel as we call it) will remain an important part of it. In this blog, let us explore data science and its relationship with SQL.

  https://www.kdnuggets.com/2019/07/sql-needed-data-scientist.html

• Understanding Cloud Data Services">Understanding Cloud Data Services

  Ready to move your systems to a cloud vendor or just learning more about big data services? This overview will help you understand big data system architectures, components, and offerings with an end-to-end taxonomy of what is available from the big three cloud providers.

  https://www.kdnuggets.com/2019/06/understanding-cloud-data-services.html

• Overview of Different Approaches to Deploying Machine Learning Models in Production

  Learn the different methods for putting machine learning models into production, and to determine which method is best for which use case.

  https://www.kdnuggets.com/2019/06/approaches-deploying-machine-learning-production.html

• Mongo DB Basics

  Mongo DB is a document oriented NO SQL database unlike HBASE which has a wide column store. The advantage of Document oriented over relation type is the columns can be changed as an when required for each case as opposed to the same column name for all the rows.

  https://www.kdnuggets.com/2019/06/mongo-db-basics.html

• 7 Steps to Mastering SQL for Data Science — 2019 Edition">7 Steps to Mastering SQL for Data Science — 2019 Edition

  Follow these updated 7 steps to go from SQL data science newbie to practitioner in a hurry. We consider only the necessary concepts and skills, and provide quality resources for each.

  https://www.kdnuggets.com/2019/05/7-steps-mastering-sql-data-science-2019-edition.html

• What’s Going to Happen this Year in the Data World

  "If we wish to foresee the future of mathematics, our proper course is to study the history and present condition of the science." Henri Poncairé.

  https://www.kdnuggets.com/2019/05/whats-going-happen-this-year-data-world.html

• Machine Learning and Deep Link Graph Analytics: A Powerful Combination

  We investigate how graphs can help machine learning and how they are related to deep link graph analytics for Big Data.

  https://www.kdnuggets.com/2019/04/machine-learning-graph-analytics.html

• 7 “Gotchas” for Data Engineers New to Google BigQuery

  Here are some things that might take some getting used to when new to Google BigQuery, along with mitigation strategies where I’ve found them.

  https://www.kdnuggets.com/2019/03/7-gotchas-data-engineers-google-bigquery.html

• Data Science Strategy Safari: Aligning Data Science Strategy to Org Strategy

  The title of this post is derived by drawing inspiration from Mintzberg’s seminal work. In this post, I am attempting to take you on a safari through the data science strategy formulation process.

  https://www.kdnuggets.com/2018/11/data-science-strategy-safari-aligning-data-science-strategy.html

• Graphs Are The Next Frontier In Data Science">Graphs Are The Next Frontier In Data Science

  GraphConnect 2018, Neo4j’s bi-annual conference, was held in New York City in mid-September. Read about what happened, and why graphs are the next big thing in data science.

  https://www.kdnuggets.com/2018/10/graphs-next-frontier-data-science.html

• Modern Graph Query Language – GSQL

  This post introduces the prospect of fulfilling the need for a modern graph query language with GSQL

  https://www.kdnuggets.com/2018/06/modern-graph-query-language-gsql.html

• Event Processing: Three Important Open Problems

  This article summarizes the three most important problems to be solved in event processing. The facts in this article are supported by a recent survey and an analysis conducted on the industry trends.

  https://www.kdnuggets.com/2018/05/event-processing-important-open-problems.html

• Presto for Data Scientists – SQL on anything

  Presto enables data scientists to run interactive SQL across multiple data sources. This open source engine supports querying anything, anywhere, and at large scale.

  https://www.kdnuggets.com/2018/04/presto-data-scientists-sql.html

• Graph Databases Burst into the Mainstream

  What do Amazon, Facebook, Google, IBM, Microsoft and Twitter have in common? They're all adopters of graph databases - a hot technology that continues to evolve.

  https://www.kdnuggets.com/2018/02/graph-databases-burst-into-the-mainstream.html

• Elasticsearch for Dummies

  In this blog, you’ll get to know the basics of Elasticsearch, its advantages, how to install it and indexing the documents using Elasticsearch.

  https://www.kdnuggets.com/2018/01/elasticsearch-overview.html

• How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?">How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?

  When I started diving deep into these exciting subjects (by self-study), I discovered quickly that I don’t know/only have a rudimentary idea about/ forgot mostly what I studied in my undergraduate study some essential mathematics.

  https://www.kdnuggets.com/2017/12/mathematics-needed-learn-data-science-machine-learning.html

• A Day in the Life of a Data Scientist">A Day in the Life of a Data Scientist

  Are you interested in what a data scientist does on a typical day of work? Each data science role may be different, but these five individuals provide insight to help those interested in figuring out what a day in the life of a data scientist actually looks like.

  https://www.kdnuggets.com/2017/11/day-life-data-scientist.html

• Are Data Lakes Fake News?">Are Data Lakes Fake News?

  The quick answer is yes, and the biggest problem is that the term “Data Lakes” has been overloaded by vendors and analysts with different meanings, resulting in an ill-defined and blurry concept.

  https://www.kdnuggets.com/2017/09/data-lakes-fake-news.html

• How To Write Better SQL Queries: The Definitive Guide – Part 2

  Most forget that SQL isn’t just about writing queries, which is just the first step down the road. Ensuring that queries are performant or that they fit the context that you’re working in is a whole other thing. This SQL tutorial will provide you with a small peek at some steps that you can go through to evaluate your query.

  https://www.kdnuggets.com/2017/08/write-better-sql-queries-definitive-guide-part-2.html

• How To Write Better SQL Queries: The Definitive Guide – Part 1

  Most forget that SQL isn’t just about writing queries, which is just the first step down the road. Ensuring that queries are performant or that they fit the context that you’re working in is a whole other thing. This SQL tutorial will provide you with a small peek at some steps that you can go through to evaluate your query.

  https://www.kdnuggets.com/2017/08/write-better-sql-queries-definitive-guide-part-1.html

• 42 Essential Quotes by Data Science Thought Leaders

  42 illuminating quotes you need to read if you’re a data scientist or considering a career in the field – insights from industry experts tackling the tough questions that every data scientist faces.

  https://www.kdnuggets.com/2017/05/42-essential-quotes-data-science-thought-leaders.html

• What Is Data Science, and What Does a Data Scientist Do?">What Is Data Science, and What Does a Data Scientist Do?

  This article is intended to help define the data scientist role, including typical skills, qualifications, education, experience, and responsibilities. This definition is somewhat loose, and given that the ideal experience and skill set is relatively rare to find in one individual.

  https://www.kdnuggets.com/2017/03/data-science-data-scientist-do.html

• Data Science and Big Data, Explained">Data Science and Big Data, Explained

  This article is meant to give the non-data scientist a solid overview of the many concepts and terms behind data science and big data. While related terms will be mentioned at a very high level, the reader is encouraged to explore the references and other resources for additional detail.

  https://www.kdnuggets.com/2016/11/big-data-data-science-explained.html

• Learn Data Science in 8 (Easy) Steps

  Want to learn data science? Check out these 8 (easy) steps to set out in the right direction!

  https://www.kdnuggets.com/2016/10/learn-data-science-8-steps.html

• Embedded Analytics: The Future of Business Intelligence

  An overview of the evolution of Business Intelligence, and some insight into where its future lie: embedded analytics.

  https://www.kdnuggets.com/2016/09/embedded-analytics-future-business-intelligence.html

• 7 Steps to Understanding NoSQL Databases

  Are you a newcomer to NoSQL, interested in gaining a real understanding of the technologies and architectures it includes? This post is for you.

  https://www.kdnuggets.com/2016/07/seven-steps-understanding-nosql-databases.html

• 7 Steps to Mastering SQL for Data Science

  Follow these 7 steps to go from SQL data science newbie to seasoned practitioner quickly. No nonsense, just the necessities.

  https://www.kdnuggets.com/2016/06/seven-steps-mastering-sql-data-science.html

• Top NoSQL Database Engines

  An overview of the top 5 NoSQL database engines in use today, including examples of key-value, column-oriented, graph, and document paradigms.

  https://www.kdnuggets.com/2016/06/top-nosql-database-engines.html

• 5 Reasons Machine Learning Applications Need a Better Lambda Architecture

  The Lambda Architecture enables a continuous processing of real-time data. It is a painful process that gets the job done, but at a great cost. Here is a simplified solution called as Lambda-R (ƛ-R) for the Relational Lambda.

  https://www.kdnuggets.com/2016/05/5-reasons-machine-learning-applications-lambda-architecture.html

• Interview: Thanigai Vellore, Art.com on Delivering Contextually Relevant Search Experience

  We discuss the role of Analytics at Art.com, the polyglot data architecture at Art.com, the use cases for Hadoop, vendor selection, supporting semantic search and experience with Avro.

  https://www.kdnuggets.com/2015/07/interview-thanigai-vellore-art-search-experience.html

• Open Source Enabled Interactive Analytics: An Overview

  Explaining the aspects of creating an interactive data driven dashboard using open source technologies i.e. MongoDB, D3.Js, DC.JS and Node JS.

  https://www.kdnuggets.com/2015/06/open-source-interactive-analytics-overview.html

• 16 NoSQL, NewSQL Databases To Watch

  NoSQL and NewSQL databases have become much more important with the proliferation of big, mobile, and networked data, and these sixteen database solutions are some of the biggest up-and-comers.

  https://www.kdnuggets.com/2014/12/16-nosql-newsql-databases-to-watch.html

• SlamData Open Source Analytics Tool for MongoDB

  SlamData is an open source SQL-based tool designed to make accessing data in MongoDB easy for developers and non-developers alike with the goal of making application intelligence easier.

  https://www.kdnuggets.com/2014/12/slamdata-open-source-analytics-tool-mongodb.html

• Interview: Pedro Domingos: the Master Algorithm, new type of Deep Learning, great advice for young researchers

  Top researcher Pedro Domingos on useful maxims for Data Mining, Machine Learning as the Master Algorithm, new type of Deep Learning called sum-product networks, Big Data and startups, and great advice to young researchers.

  https://www.kdnuggets.com/2014/08/interview-pedro-domingos-master-algorithm-new-deep-learning.html

• Do you need a Masters Degree to become a Data Scientist?

  Leading analytics experts answer the question: "Do you need a Masters Degree to become a Data Scientist?" Read practical tips and interesting commentary.

  https://www.kdnuggets.com/2014/06/masters-degree-become-data-scientist.html

• KDnuggets™ News 14:n11, May 7

  Features (7) | Opinions (5) | Software (1) | News (3) | Webcasts (4) | Meetings (2) | Jobs (6) | Publications (1) | Tweets Read more »

  https://www.kdnuggets.com/2014/n11.html

• MADlib: Big Data Machine Learning in SQL for Data Scientists

  MADlib is open source with commercially usable BSD license; supports Postgres and Pivotal Greenplum DBMS, and provides classification, regression, clustering, topic modeling and other analytics for Big Data.

  https://www.kdnuggets.com/2014/01/madlib-big-data-machine-learning-sql-for-data-scientists.html

• 2014 Jan: Features, News, Software: Analytics, Big Data, Data Mining, and Data Science

  All (69) | News, Software (19) | Courses, Events (19) | Publications (15) Split on Data Science Skills: Individual vs Team approach ( comments) - Read more »

  https://www.kdnuggets.com/2014/01/news-software-old.html

• 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

• KDnuggets™ News 14:n01, Jan 8

  coming on Jan 8

  https://www.kdnuggets.com/2014/n01.html

• Data Transformation, Data Cleaning, Data Cleansing Software

  Ab Initio, provides high-performance software library and graphical environment for data transformation AMADEA, data Extraction, Transformation, and Real Time Reporting software AnalyticsCanvas, helps automate Google Read more »

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

• 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

• KDnuggets™ News 13:n27, Nov 13

  Features (10) | Software (4) | Webcasts (3) | Courses, Events (5) | Meetings (3) | Jobs (7) | Academic (4) | Competitions (2) | Publications Read more »

  https://www.kdnuggets.com/2013/n27.html

• Business Intelligence (BI), Analytics, Database and OLAP Software

  BI2M, OLAP and Data Mining, stand alone or with Microsoft Analysis services. Black Box BI, offering analytics, dashboards, and visualizations via the cloud. Business Intelligence Read more »

  https://www.kdnuggets.com/software/bi-db-olap.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

• KDnuggets™ News 13:n12, May 8

  Features (9) | Software (4) | Webcasts (3) | Courses, Events (1) | Meetings (3) | Jobs (9) | Academic (3) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n12.html

• KDnuggets™ News 13:n07, Mar 14

  Features (7) | Software (5) | Webcasts (3) | Courses, Events (2) | Meetings (1) | Jobs (4) | Academic (1) | Publications (5) | Tweets Read more »

  https://www.kdnuggets.com/2013/n07.html