Search results for "RStudio"

92 documents found out of 7025 total.

• The 5 FREE Must-Read Books for Every Data Scientist

  Want to level up your data skills? Check out these 5 free books that explain data science clearly and practically.

  https://www.kdnuggets.com/the-5-free-must-read-books-for-every-data-scientist

• Top 5 Alternative Data Career Paths and How to Learn Them for Free

  How about some alternative options for a data career? Learn about five non-standard career paths, required skills, and how to learn them for free.

  https://www.kdnuggets.com/top-5-alternative-data-career-paths-and-how-to-learn-them-for-free

• Getting Started With a Career in Data Science

  Breaking into data science has never been easy. In this tutorial, we’ll make your life easier by providing you with a step-by-step roadmap for data science beginners.

  https://www.kdnuggets.com/getting-started-with-a-career-in-data-science

• Interested in Learning How to Code?

  Continue reading to learn about some beginner-friendly courses to kickstart your coding career.

  https://www.kdnuggets.com/interested-in-learning-how-to-code

• Save Big with This Popular IBM Data Science Course

  Pursue career success with big savings on edX programs using code EDXSUCCESS24 at checkout.

  https://www.kdnuggets.com/save-big-popular-ibm-data-science-course

• Free Courses That Are Actually Free: Programming Edition

  Learn how to program for free and at your own pace, with these curated free programming courses.

  https://www.kdnuggets.com/free-courses-that-are-actually-free-programming-edition

• 5 Must-Know R Packages for Data Analysis

  Here are five must-know R packages for data analysis in R.

  https://www.kdnuggets.com/5-must-know-r-packages-for-data-analysis

• Top 7 Alternatives to VSCode for Data Science

  This article introduces some local and cloud-based alternatives to Visual Studio Code tailored for data science needs.

  https://www.kdnuggets.com/top-7-alternatives-to-vscode-for-data-science

• Introduction to Cloud Computing for Data Science

  And the Power Duo of Modern Tech.

  https://www.kdnuggets.com/introduction-to-cloud-computing-for-data-science

• Want to Become a Data Scientist? Part 1: 10 Hard Skills You Need

  A quick 10-step hard skill guide on what you need to become a Data Scientist.

  https://www.kdnuggets.com/want-to-become-a-data-scientist-part-1-10-hard-skills-you-need

• 21 Must-Have Cheat Sheets for Data Science Interviews: Unlocking Your Path to Success

  This article has researched and presents the best data science cheat sheets from around the internet, so you don’t have to do it yourself.

  https://www.kdnuggets.com/2022/06/21-cheat-sheets-data-science-interviews.html

• Google Data Analytics Certification Review for 2023

  What is the Google Data Analytics Certification? And, more importantly, is it still worth getting it in 2023?

  https://www.kdnuggets.com/2023/01/google-data-analytics-certification-review-2023.html

• Put your deep learning skills with R into action!

  Sponsored Post     Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow Read more »

  https://www.kdnuggets.com/2022/08/manning-deep-learning-skills-r-action.html

• Best Data Science Career Tracks of 2022

  Top-rated data science tracks consist of multiple project-based courses covering all aspects of data. It includes an introduction to Python/R, data ingestion & manipulation, data visualization, machine learning, and reporting.

  https://www.kdnuggets.com/2022/04/best-data-science-career-tracks-2022.html

• The Complete Collection of Data Science Cheat Sheets – Part 2

  A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

  https://www.kdnuggets.com/2022/02/complete-collection-data-science-cheat-sheets-part-2.html

• The Complete Collection of Data Science Cheat Sheets – Part 1

  A collection of cheat sheets that will help you prepare for a technical interview, assessment tests, class presentation, and help you revise core data science concepts.

  https://www.kdnuggets.com/2022/02/complete-collection-data-science-cheat-sheets-part-1.html

• Path to Full Stack Data Science">Path to Full Stack Data Science

  Start your journey toward mastering all aspects of the field of Data Science with this focused list of in-depth self-learning resources. Curated with the beginner in mind, these recommendations will help you learn efficiently, and can also offer existing professionals useful highlights for review or help filling in any gaps in skills.

  https://www.kdnuggets.com/2021/09/path-full-stack-data-science.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

• Start a Career in a Growing Field with Google’s Data Analytics Professional Certificate

  Google's recently launched Data Analytics Professional Certificate on Coursera is great for anyone, regardless of background or experience. The program is completely online, self-paced, and costs $39 per month. Interested in preparing for a new career in a high-growth field?

  https://www.kdnuggets.com/2021/04/coursera-career-growing-field-google-data-analytics-certificate.html

• Data Science Curriculum for Professionals

  If you are looking to expand or transition your current professional career that is buried in spreadsheet analysis into one powered by data science, then you are in for an exciting but complex journey with much to explore and master. To begin your adventure, following this complete road map to guide you from a gnome in the forest of spreadsheets to an AI wizard known far and wide throughout the kingdom.

  https://www.kdnuggets.com/2021/03/data-science-curriculum-professionals.html

• Support Vector Machine for Hand Written Alphabet Recognition in R

  We attempt to break down a problem of hand written alphabet image recognition into a simple process rather than using heavy packages. This is an attempt to create the data and then build a model using Support Vector Machines for Classification.

  https://www.kdnuggets.com/2021/01/support-vector-machine-hand-written-alphabet-r.html

• Creating Good Meaningful Plots: Some Principles

  Hera are some thought starters to help you create meaningful plots.

  https://www.kdnuggets.com/2021/01/creating-good-meaningful-plots-principles.html

• Model Experiments, Tracking and Registration using MLflow on Databricks

  This post covers how StreamSets can help expedite operations at some of the most crucial stages of Machine Learning Lifecycle and MLOps, and demonstrates integration with Databricks and MLflow.

  https://www.kdnuggets.com/2021/01/model-experiments-tracking-registration-mlflow-databricks.html

• State of Data Science and Machine Learning 2020: 3 Key Findings">State of Data Science and Machine Learning 2020: 3 Key Findings

  Kaggle recently released its State of Data Science and Machine Learning report for 2020, based on compiled results of its annual survey. Read about 3 key findings in the report here.

  https://www.kdnuggets.com/2020/12/kaggle-survey-2020-data-science-machine-learning.html

• 20 Core Data Science Concepts for Beginners">20 Core Data Science Concepts for Beginners

  With so much to learn and so many advancements to follow in the field of data science, there are a core set of foundational concepts that remain essential. Twenty of these ideas are highlighted here that are key to review when preparing for a job interview or just to refresh your appreciation of the basics.

  https://www.kdnuggets.com/2020/12/20-core-data-science-concepts-beginners.html

• MathWorks Deep learning workflow: tips, tricks, and often forgotten steps

  Getting started in deep learning – and adopting an organized, sustainable, and reproducible workflow – can be challenging. This blog post will share some tips and tricks to help you develop a systematic, effective, attainable, and scalable deep learning workflow as you experiment with different deep learning models, datasets, and applications.

  https://www.kdnuggets.com/2020/09/mathworks-deep-learning-workflow.html

• Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities">Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities

  We present the online courses and certificates in AI, Data Science, Machine Learning, and related topics from the top 20 universities in the world.

  https://www.kdnuggets.com/2020/09/online-certificates-ai-data-science-machine-learning-top.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

• Wrapping Machine Learning Techniques Within AI-JACK Library in R">Wrapping Machine Learning Techniques Within AI-JACK Library in R

  The article shows an approach to solving problem of selecting best technique in machine learning. This can be done in R using just one library called AI-JACK and the article shows how to use this tool.

  https://www.kdnuggets.com/2020/07/wrapping-machine-learning-techniques-ai-jack-library-r.html

• Build a Branded Web Based GIS Application Using R, Leaflet and Flexdashboard

  By using R, Flexdashboard and Leaflet, we can build a customized and branded web application to showcase location based data interactively across the organization. Instead of crowding the application with many widgets, we use menu tabs and pages to separate the interactive aspects.

  https://www.kdnuggets.com/2020/06/branded-web-based-gis-application-r-leaflet-flexdashboard.html

• Exploring the Impact of Geographic Information Systems

  GIS has mostly been behind more popular buzzwords like machine learning and deep learning. GIS has always been around us in the background being used in government, business, medicine, real estate, transport, manufacturing etc.

  https://www.kdnuggets.com/2020/04/impact-geographic-information-systems.html

• Decision Boundary for a Series of Machine Learning Models

  I train a series of Machine Learning models using the iris dataset, construct synthetic data from the extreme points within the data and test a number of Machine Learning models in order to draw the decision boundaries from which the models make predictions in a 2D space, which is useful for illustrative purposes and understanding on how different Machine Learning models make predictions.

  https://www.kdnuggets.com/2020/03/decision-boundary-series-machine-learning-models.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

• Getting Started with R Programming

  An end to end Data Analysis using R, the second most requested programming language in Data Science.

  https://www.kdnuggets.com/2020/02/getting-started-r-programming.html

• Basics of Audio File Processing in R

  This post provides basic information on audio processing using R as the programming language. It also walks through and understands some basics of sound and digital audio.

  https://www.kdnuggets.com/2020/02/basics-audio-file-processing-r.html

• 10 Best and Free Machine Learning Courses, Online

  Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field.

  https://www.kdnuggets.com/2019/12/best-free-machine-learning-courses-online.html

• How to Visualize Data in Python (and R)

  Producing accessible data visualizations is a key data science skill. The following guidelines will help you create the best representations of your data using R and Python's Pandas library.

  https://www.kdnuggets.com/2019/11/visualize-data-python-and-r.html

• Orchestrating Dynamic Reports in Python and R with Rmd Files

  Do you want to extract csv files with Python and visualize them in R? How does preparing everything in R and make conclusions with Python sound? Both are possible if you know the right libraries and techniques. Here, we’ll walk through a use-case using both languages in one analysis

  https://www.kdnuggets.com/2019/11/orchestrating-dynamic-reports-python-r-rmd-files.html

• R Users’ Salaries from the 2019 Stackoverflow Survey

  Let’s take a look on what R users are saying about their salaries. Note that the following results could be biased because of unrepresentative and in some cases small samples.

  https://www.kdnuggets.com/2019/08/r-users-salaries-2019-stackoverflow-survey.html

• Ten more random useful things in R you may not know about

  I had a feeling that R has developed as a language to such a degree that many of us are using it now in completely different ways. This means that there are likely to be numerous tricks, packages, functions, etc that each of us use, but that others are completely unaware of, and would find useful if they knew about them.

  https://www.kdnuggets.com/2019/07/ten-more-random-useful-things-r.html

• Kaggle Kernels Guide for Beginners: A Step by Step Tutorial

  This is an attempt to hold the hands of a complete beginner and walk them through the world of Kaggle Kernels — for them to get started.

  https://www.kdnuggets.com/2019/07/kaggle-kernels-guide-beginners-tutorial.html

• Ten random useful things in R that you might not know about

  Because the R ecosystem is so rich and constantly growing, people can often miss out on knowing about something that can really help them in a task that they have to complete

  https://www.kdnuggets.com/2019/06/ten-useful-things-r.html

• The Whole Data Science World in Your Hands

  Testing MatrixDS capabilities on different languages and tools: Python, R and Julia. If you work with data you have to check this out.

  https://www.kdnuggets.com/2019/06/whole-data-science-world.html

• 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

• Customer Churn Prediction Using Machine Learning: Main Approaches and Models

  We reach out to experts from HubSpot and ScienceSoft to discuss how SaaS companies handle the problem of customer churn prediction using Machine Learning.

  https://www.kdnuggets.com/2019/05/churn-prediction-machine-learning.html

• On Building Effective Data Science Teams

  We take a look at the qualities that make a successful data team in order to help business leaders and executives create better AI strategies.

  https://www.kdnuggets.com/2019/03/building-effective-data-science-teams.html

• 2018’s Top 7 R Packages for Data Science and AI

  This is a list of the best packages that changed our lives this year, compiled from my weekly digests.

  https://www.kdnuggets.com/2019/01/vazquez-2018-top-7-r-packages.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

• Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools">Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools

  We cover a variety of topics, from machine learning to deep learning, from data visualization to data tools, with comments and explanations from experts in the relevant fields.

  https://www.kdnuggets.com/2018/12/machine-learning-data-visualization-deep-learning-tools.html

• What is the Best Python IDE for Data Science?">What is the Best Python IDE for Data Science?

  Before you start learning Python, choose the IDE that suits you the best. We examine many available tools, their pros and cons, and suggest how to choose the best Python IDE for you.

  https://www.kdnuggets.com/2018/11/best-python-ide-data-science.html

• Deep Learning Framework Power Scores 2018

  Who’s on top in usage, interest, and popularity?

  https://www.kdnuggets.com/2018/09/deep-learning-framework-power-scores-2018.html

• Setting up your AI Dev Environment in 5 Minutes

  Whether you're a novice data science enthusiast setting up TensorFlow for the first time, or a seasoned AI engineer working with terabytes of data, getting your libraries, packages, and frameworks installed is always a struggle. Learn how datmo, an open source python package, helps you get started in minutes.

  https://www.kdnuggets.com/2018/08/ai-dev-environment.html

• Remote Data Science: How to Send R and Python Execution to SQL Server from Jupyter Notebooks

  Did you know that you can execute R and Python code remotely in SQL Server from Jupyter Notebooks or any IDE? Machine Learning Services in SQL Server eliminates the need to move data around.

  https://www.kdnuggets.com/2018/07/r-python-execution-sql-server-jupyter.html

• 5 of Our Favorite Free Visualization Tools">5 of Our Favorite Free Visualization Tools

  5 key free data visualization tools that can provide flexible and effective data presentation.

  https://www.kdnuggets.com/2018/07/5-favorite-open-source-visualization-tools.html

• 5 Data Science Projects That Will Get You Hired in 2018">5 Data Science Projects That Will Get You Hired in 2018

  A portfolio of real-world projects is the best way to break into data science. This article highlights the 5 types of projects that will help land you a job and improve your career.

  https://www.kdnuggets.com/2018/06/5-data-science-projects-hired.html

• How to Execute R and Python in SQL Server with Machine Learning Services

  Machine Learning Services in SQL Server eliminates the need for data movement - you can install and run R/Python packages to build Deep Learning and AI applications on data in SQL Server.

  https://www.kdnuggets.com/2018/06/microsoft-azure-machine-learning-r-python-sql-server.html

• 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

• Control Structures in R: Using If-Else Statements and Loops

  Control structures allow you to specify the execution of your code. They are extremely useful if you want to run a piece of code multiple times, or if you want to run a piece a code if a certain condition is met.

  https://www.kdnuggets.com/2018/02/control-structures-r-using-if-else-statements-loops.html

• Propensity Score Matching in R

  Propensity scores are an alternative method to estimate the effect of receiving treatment when random assignment of treatments to subjects is not feasible.

  https://www.kdnuggets.com/2018/01/propensity-score-matching-r.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

• Extracting Tweets With R

  This article will give you a great, brief overview for extracting Tweets using R.

  https://www.kdnuggets.com/2017/11/extracting-tweets-r.html

• Top 10 Machine Learning with R Videos

  A complete video guide to Machine Learning in R! This great compilation of tutorials and lectures is an amazing recipe to start developing your own Machine Learning projects.

  https://www.kdnuggets.com/2017/10/top-10-machine-learning-r-videos.html

• Ranking Popular Deep Learning Libraries for Data Science">Ranking Popular Deep Learning Libraries for Data Science

  We rank 23 open-source deep learning libraries that are useful for Data Science. The ranking is based on equally weighing its three components: Github and Stack Overflow activity, as well as Google search results.

  https://www.kdnuggets.com/2017/10/ranking-popular-deep-learning-libraries-data-science.html

• Introducing R-Brain: A New Data Science Platform

  R-Brain is a next generation platform for data science built on top of Jupyterlab with Docker, which supports not only R, but also Python, SQL, has integrated intellisense, debugging, packaging, and publishing capabilities.

  https://www.kdnuggets.com/2017/10/r-brain-new-data-science-platform.html

• An opinionated Data Science Toolbox in R from Hadley Wickham, tidyverse

  Get your productivity boosted with Hadley Wickham's powerful R package, tidyverse. It has all you need to start developing your own data science workflows.

  https://www.kdnuggets.com/2017/10/tidyverse-powerful-r-toolbox.html

• Find Out What Celebrities Tweet About the Most

  Word cloud is a popular data visualisation method. Here we show how to use R to create twitter word cloud of celebrities and politicians.

  https://www.kdnuggets.com/2017/10/what-celebrities-tweet-about-most.html

• 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets">30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets

  This collection of data science cheat sheets is not a cheat sheet dump, but a curated list of reference materials spanning a number of disciplines and tools.

  https://www.kdnuggets.com/2017/09/essential-data-science-machine-learning-deep-learning-cheat-sheets.html

• First Steps of Learning Deep Learning: Image Classification in Keras

  Whether you want to start learning deep learning for you career, to have a nice adventure (e.g. with detecting huggable objects) or to get insight into machines before they take over, this post is for you!

  https://www.kdnuggets.com/2017/08/first-steps-learning-deep-learning-image-classification-keras.html

• For data scientists, now is the time to act; Forrester has insights to help you get started

  IBM, a leader in 2017 Forrester Wave Report for Predictive Analytics and Machine Learning Solutions, offers data scientists a complete toolkit, including predictive analytics and machine learning capabilities and more.

  https://www.kdnuggets.com/2017/06/ibm-forrester-insights.html

• Deep Learning with R + Keras

  Keras has grown in popularity and supported on a wide set of platforms including Tensorflow, CNTK, Apple’s CoreML, and Theano. It is becoming the de factor language for deep learning.

  https://www.kdnuggets.com/2017/06/deep-learning-r-keras.html

• The Guerrilla Guide to Machine Learning with R">The Guerrilla Guide to Machine Learning with R

  This post is a lean look at learning machine learning with R. It is a complete, if very short, course for the quick study hacker with no time (or patience) to spare.

  https://www.kdnuggets.com/2017/05/guerrilla-guide-machine-learning-r.html

• PLOTCON, Largest Data Visualization Event of its kind, Oakland, May 2-5

  For data scientists, journalists, and business analysts, PLOTCON is THE opportunity to meet the creators of the tools you use everyday, ask questions, hear where the future is heading, and be part of the conversation. Use code KDNUGGETS to save.

  https://www.kdnuggets.com/2017/03/plotcon-data-visualization-oakland-may.html

• Gartner Data Science Platforms – A Deeper Look

  Thomas Dinsmore critical examination of Gartner 2017 MQ of Data Science Platforms, including vendors who out, in, have big changes, Hadoop and Spark integration, open source software, and what Data Scientists actually use.

  https://www.kdnuggets.com/2017/03/thomaswdinsmore-gartner-data-science-platforms.html

• Moving from R to Python: The Libraries You Need to Know

  Are you considering making a move from R to Python? Here are the libraries you need to know, how they stack up to their R contemporaries, and why you should learn them.

  https://www.kdnuggets.com/2017/02/moving-r-python-libraries.html

• Making Python Speak SQL with pandasql

  Want to wrangle Pandas data like you would SQL using Python? This post serves as an introduction to pandasql, and details how to get it up and running inside of Rodeo.

  https://www.kdnuggets.com/2017/02/python-speak-sql-pandasql.html

• 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

• 50+ Data Science, Machine Learning Cheat Sheets, updated">50+ Data Science, Machine Learning Cheat Sheets, updated

  Gear up to speed and have concepts and commands handy in Data Science, Data Mining, and Machine learning algorithms with these cheat sheets covering R, Python, Django, MySQL, SQL, Hadoop, Apache Spark, Matlab, and Java.

  https://www.kdnuggets.com/2016/12/data-science-machine-learning-cheat-sheets-updated.html

• How to Rank 10% in Your First Kaggle Competition

  This post presents a pathway to achieving success in Kaggle competitions as a beginner. The path generalizes beyond competitions, however. Read on for insight into succeeding while approaching any data science project.

  https://www.kdnuggets.com/2016/11/rank-ten-precent-first-kaggle-competition.html

• Eight Things an R user Will Find Frustrating When Trying to Learn Python">Eight Things an R user Will Find Frustrating When Trying to Learn Python

  Are you an R user considering learning Python? Here's some insight into what you may be up against, and what, specifically, you may find frustrating. But don't worry, it's not all terrible.

  https://www.kdnuggets.com/2016/11/r-user-frustrating-learning-python.html

• Interview: Florian Douetteau, Dataiku Founder, on Empowering Data Scientists

  Here is an interview with Florian Douetteau, founder of Dataiku, on how their tools empower data scientists, and how data science itself is evolving.

  https://www.kdnuggets.com/2016/07/interview-florian-douetteau-dataiku-empowering-data-scientists.html

• Comprehensive Guide to Learning Python for Data Analysis and Data Science

  Want to make a career change to Data Science using python? Well learning anything on your own can be a challenge & a little guidance could be a great help, that is exactly what this article will provide you with.

  https://www.kdnuggets.com/2016/04/datacamp-learning-python-data-analysis-data-science.html

• 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

• 21 Must-Know Data Science Interview Questions and Answers">21 Must-Know Data Science Interview Questions and Answers

  KDnuggets Editors bring you the answers to 20 Questions to Detect Fake Data Scientists, including what is regularization, Data Scientists we admire, model validation, and more.

  https://www.kdnuggets.com/2016/02/21-data-science-interview-questions-answers.html

• Using Python and R together: 3 main approaches

  Well if Data Science and Data Scientists can not decide on what data to choose to help them decide which language to use, here is an article to use BOTH.

  https://www.kdnuggets.com/2015/12/using-python-r-together.html

• 50+ Data Science and Machine Learning Cheat Sheets

  Gear up to speed and have Data Science & Data Mining concepts and commands handy with these cheatsheets covering R, Python, Django, MySQL, SQL, Hadoop, Apache Spark and Machine learning algorithms.

  https://www.kdnuggets.com/2015/07/good-data-science-machine-learning-cheat-sheets.html

• Emacs for Data Science

  Data science nowadays demands a polyglot developer and, choosing a correct code editor would definitely be a worthy investment. Here we provide, important features of Emacs and its advantages over other editors.

  https://www.kdnuggets.com/2015/07/emacs-data-science.html

• Top 20 R packages by popularity

  Wondering which are the most popular R packages? Here's an analysis based on most downloaded R packages from Jan to May 2015 to identify the top trending packages in the R world!

  https://www.kdnuggets.com/2015/06/top-20-r-packages.html

• R vs Python for Data Science: The Winner is …

  In the battle of "best" data science tools, python and R both have their pros and cons. Selecting one over the other will depend on the use-cases, the cost of learning, and other common tools required.

  https://www.kdnuggets.com/2015/05/r-vs-python-data-science.html

• R and Hadoop make Machine Learning Possible for Everyone

  R and Hadoop make machine learning approachable enough for inexperienced users to begin analyzing and visualizing interesting data to start down the path in this lucrative field.

  https://www.kdnuggets.com/2014/11/r-hadoop-make-machine-learning-possible-everyone.html

• KDnuggets™ News 14:n05, Mar 5

  Features (10) | News (6) | Software (5) | Webcasts (1) | Courses (6) | Meetings (5) | Jobs (7) | Academic (1) | Publications Read more »

  https://www.kdnuggets.com/2014/n05.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

• Software Suites/Platforms for Analytics, Data Mining, Data Science, and Machine Learning

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