Search results for "visualization"

1693 documents found out of 7163 total.

• KDnuggets News 22:n12, March 23: Best Data Science Books for Beginners; Linear vs Logistic Regression: A Succinct Explanation

  Best Data Science Books for Beginners; Linear vs Logistic Regression: A Succinct Explanation; Why Are So Many Data Scientists Quitting Their Jobs?; Feature Stores for Real-time AI & Machine Learning; How to Generate Tabular Synthetic Dataset

  https://www.kdnuggets.com/2022/n12.html

• A Guide On How To Become A Data Scientist (Step By Step Approach)

  Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work. To guide your journey, the skills outlined here are the first you must acquire to become a data scientist.

  https://www.kdnuggets.com/2021/05/guide-become-data-scientist.html

• Top Posts Mar 14-20: Decision Tree Algorithm, Explained

  Also: Best Data Science Books for Beginners; The Complete Collection of Data Science Cheat Sheets – Part 1; Top Programming Languages and Their Uses; The Complete Collection of Data Science Cheat Sheets – Part 2

  https://www.kdnuggets.com/2022/03/top-posts-week-0314-0320.html

• Become a Data Science Professional in Five Steps

  If your new year's resolution was to start a career in data science but you have stalled, simply follow these easy steps to acquire professional certification within a year.

  https://www.kdnuggets.com/2022/03/become-data-science-professional-five-steps.html

• The Significance of Data Quality in Making a Successful Machine Learning Model

  Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.

  https://www.kdnuggets.com/2022/03/significance-data-quality-making-successful-machine-learning-model.html

• Boost Your AI and ML Skills for Free at NVIDIA Conference

  Four-day conference offers hundreds of learning and development opportunities in AI, ML, DL, robotics, data science and high performance computing for developers at all levels.

  https://www.kdnuggets.com/2022/03/nvidia-fourday-conference-offers-hundreds-learning-development-opportunities.html

• How Long Does It Take to Learn Data Science Fundamentals?

  This article discusses 2 levels of data science learning, and the amount of time that will need to go into each. From 6 months to 4 years, this write-up covers a number of skills and how long it takes to acquire them.

  https://www.kdnuggets.com/2022/03/long-take-learn-data-science-fundamentals.html

• 8 Women in AI Who Are Striving to Humanize the World

  Some exceptional female researchers and engineers are working on projects to make the world a better place with the help of AI, data science, and machine learning.

  https://www.kdnuggets.com/2021/03/8-women-ai-striving-humanize-world.html

• 5 Data Science Projects to Learn 5 Critical Data Science Skills

  Learn these to take any data science project idea from brainstorm to deployment.

  https://www.kdnuggets.com/2022/03/5-data-science-projects-learn-5-critical-data-science-skills.html

• Top 3 Free Resources to Learn Linear Algebra for Machine Learning

  This article will solely focus on learning linear algebra, as it forms the backbone of machine learning model implementation.

  https://www.kdnuggets.com/2022/03/top-3-free-resources-learn-linear-algebra-machine-learning.html

• Top Data Science Tools for 2022

  Check out this curated collection for new and popular tools to add to your data stack this year.

  https://www.kdnuggets.com/2022/03/top-data-science-tools-2022.html

• Top 7 YouTube Courses on Data Analytics

  Learn data analytics by taking the best YouTube courses. These courses will cover data analysis with Python, R, SQL, PowerBI, Tableau, Excel, and SPSS.

  https://www.kdnuggets.com/2022/02/top-7-youtube-courses-data-analytics.html

• Orchestrate a Data Science Project in Python With Prefect

  Learn how to optimize your data science workflow in a few lines of code.

  https://www.kdnuggets.com/2022/02/orchestrate-data-science-project-python-prefect.html

• No Brainer AutoML with AutoXGB

  Learn how to train, optimize, and build API with a few lines of code using AutoXGB.

  https://www.kdnuggets.com/2022/02/no-brainer-automl-autoxgb.html

• Decision Tree Algorithm, Explained

  All you need to know about decision trees and how to build and optimize decision tree classifier.

  https://www.kdnuggets.com/2020/01/decision-tree-algorithm-explained.html

• The Not-so-Sexy SQL Concepts to Make You Stand Out

  Databases are the houses of our data and data scientists HAVE TO HAVE A KEY! In this article, I discuss some lesser known concepts of SQL that data scientists do not familiarize themselves with.

  https://www.kdnuggets.com/2022/02/not-so-sexy-sql-concepts-stand-out.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

• 19 Data Science Project Ideas for Beginners

  This article features 19 data science projects for beginners, categorized into 7 full project tutorials, 5 places to come up with your own data science projects using data, and 7 skills-based data science projects.

  https://www.kdnuggets.com/2021/11/19-data-science-project-ideas-beginners.html

• Data Science Programming Languages and When To Use Them

  Read this guide through the most common data science programming languages and when to use them in data science.

  https://www.kdnuggets.com/2022/02/data-science-programming-languages.html

• 8 Best Data Science Courses to Enroll in 2022 For Steep Career Advancement

  Here is the list of the top 8 data science courses and programs that you can consider for upskilling yourself and get the best data scientist job in 2022.

  https://www.kdnuggets.com/2022/02/scaler-8-best-data-science-courses-enroll-2022-steep-career-advancement.html

• 5 Ways To Use AI For Supply Chain Management

  Using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.

  https://www.kdnuggets.com/2022/02/5-ways-ai-supply-chain-management.html

• How To Design Your Data Science Portfolio

  Read this overview of how the author created a data science portfolio that stands out and gets noticed.

  https://www.kdnuggets.com/2022/01/design-data-science-portfolio.html

• What to Expect From Your Career Path as a Data Scientist

  Learn about the roles between you and the Director of Data Science.

  https://www.kdnuggets.com/2022/01/expect-career-path-data-scientist.html

• Unable to Land a Data Science Job? Here’s Why

  You’ve been taking the wrong advice.

  https://www.kdnuggets.com/2022/01/unable-land-data-science-job.html

• The Best Python Courses: An Analysis Summary

  What does the data reveal if we ask: "What are the 10 Best Python Courses?". Collecting almost all of the courses from top platforms shows there are plenty to choose from, with over 3000 offerings. This article summarizes my analysis and presents the top three courses.

  https://www.kdnuggets.com/2022/01/best-python-courses-analysis-summary.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

• Demystifying Bad Science

  Rigorous science is challenging and any study can be questioned. Deception is part of human nature and scientists are human, as are journalists and policymakers. We are too and must be careful not to trust a study just because we find it exciting, or because it comforts us or conforms to our beliefs.

  https://www.kdnuggets.com/2022/01/demystifying-bad-science.html

• The Best Learning Resources for Data Science in 2022

  Unclutter your space and learn about the best books, free tutorials, courses, platforms, and certifications to start your data science journey.

  https://www.kdnuggets.com/2022/01/best-learning-resources-data-science-2022.html

• Data Scientist vs Data Analyst vs Data Engineer

  In this article, I will describe three of the most promising career options within the data industry  — data analytics, data science, and data engineering.

  https://www.kdnuggets.com/2022/01/data-scientist-data-analyst-data-engineer.html

• Transfer Learning for Image Recognition and Natural Language Processing

  Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing.

  https://www.kdnuggets.com/2022/01/transfer-learning-image-recognition-natural-language-processing.html

• A Deep Look Into 13 Data Scientist Roles and Their Responsibilities

  Any modern company of any significant size around the world has a data science department, and a data engineer at one company might have the same responsibilities as a marketing scientist at another company. Data science jobs are not well-labeled, so make sure to cast a wide net.

  https://www.kdnuggets.com/2022/01/deep-look-13-data-scientist-roles-responsibilities.html

• Automate Microsoft Excel and Word Using Python

  Integrate Excel with Word to generate automated reports seamlessly.

  https://www.kdnuggets.com/2021/08/automate-microsoft-excel-word-python.html

• KDnuggets™ News 22:n01, Jan 5: 3 Tools to Track and Visualize the Execution of Your Python Code; 6 Predictive Models Every Beginner Data Scientist Should Master

  3 Tools to Track and Visualize the Execution of Your Python Code; 6 Predictive Models Every Beginner Data Scientist Should Master; What Makes Python An Ideal Programming Language For Startups; Alternative Feature Selection Methods in Machine Learning; Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model

  https://www.kdnuggets.com/2022/n01.html

• Learn Deep Learning by Building 15 Neural Network Projects in 2022

  Here are 15 neural network projects you can take on in 2022 to build your skills, your know-how, and your portfolio.

  https://www.kdnuggets.com/2022/01/15-neural-network-projects-build-2022.html

• What Makes Python An Ideal Programming Language For Startups">What Makes Python An Ideal Programming Language For Startups

  In this blog, we will discuss what makes Python so popular, its features, and why you should consider Python as a programming language for your startup.

  https://www.kdnuggets.com/2021/12/makes-python-ideal-programming-language-startups.html

• 11 Best Companies to Work for as a Data Scientist

  This list of best data science companies aims to go beyond the usual and expected. Some great and perhaps underrated options to get a job as a data scientist.

  https://www.kdnuggets.com/2021/12/11-best-companies-work-data-scientist.html

• Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model

  Review this detailed tutorial with code and revisit the decades-long old problem using a democratized and interpretable AI framework of how precisely can we anticipate the future and understand its causal factors?

  https://www.kdnuggets.com/2021/12/sota-explainable-forecasting-and-nowcasting.html

• Versioning Machine Learning Experiments vs Tracking Them

  Learn how to improve ML reproducibility by treating experiments as code.

  https://www.kdnuggets.com/2021/12/versioning-machine-learning-experiments-tracking.html

• A Faster Way to Prepare Time-Series Data with the AI & Analytics Engine

  Many real-world datasets consist of records of events that occur at arbitrary and irregular intervals. These datasets then need to be processed into regular time series for further analysis. We will use the AI & Analytics Engine to illustrate how you can prepare your time-series data in just 1 step.

  https://www.kdnuggets.com/2021/12/piexchange-faster-way-prepare-timeseries-data-ai-analytics-engine.html

• Three R Libraries Every Data Scientist Should Know (Even if You Use Python)">Three R Libraries Every Data Scientist Should Know (Even if You Use Python)

  Check out these powerful R libraries built by the world’s biggest tech companies.

  https://www.kdnuggets.com/2021/12/three-r-libraries-every-data-scientist-know-even-python.html

• How to Get Into Data Analytics If You Don’t Have the Right Degree

  So, is a career in data analytics a good fit for you?

  https://www.kdnuggets.com/2021/12/how-to-get-into-data-analytics.html

• Top 2021 Stories: We Don’t Need Data Scientists, We Need Data Engineers; A Guide On How To Become A Data Scientist (Step By Step Approach); How I Tripled My Income With Data Science in 18 Months

  Most viewed KDnuggets stories in 2021 focused on Data Scientists vs Data Engineers; How to become a Data Scientist; Increase income with Data Science; Stunning visualizations using python; and more.

  https://www.kdnuggets.com/2021/12/top-stories-2021.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

• My First Six Months as a Data Scientist

  The technical and non-technical lessons I’ve learned.

  https://www.kdnuggets.com/2021/12/first-six-months-data-scientist.html

• Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science">Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science

  How I flipped the educational model to become a more effective data scientist.

  https://www.kdnuggets.com/2021/12/stop-learning-data-science-find-purpose.html

• Should You Become a Freelance Artificial Intelligence Engineer?

  Take the first step towards your machine learning engineering career and explore the UC San Diego Extension Machine Learning Engineering Bootcamp today. Those with prior software engineering or data science experience are encouraged to apply.

  https://www.kdnuggets.com/2021/12/ucsd-become-freelance-artificial-intelligence-engineer.html

• What Does a Data Scientist Do?

  This guide provides you with the best possible, most direct, and clear answers to "What is data science?" and "What does a data scientist do?".

  https://www.kdnuggets.com/2021/12/what-does-a-data-scientist-do.html

• How to Get Certified as a Data Scientist">How to Get Certified as a Data Scientist

  If you are early in your journey to becoming a Data Scientist, an interesting option is to earn certification by DataCamp, and this guide offers tips that will help beginners complete the challenges.

  https://www.kdnuggets.com/2021/12/get-certified-data-science.html

• How to Use Permutation Tests

  A walkthrough of permutation tests and how they can be applied to time series data.

  https://www.kdnuggets.com/2021/12/use-permutation-tests.html

• A Spreadsheet that Generates Python: The Mito JupyterLab Extension

  You can call Mito into your Jupyter Environment and each edit you make will generate the equivalent Python in the code cell below.

  https://www.kdnuggets.com/2021/11/spreadsheet-generates-python-mito-jupyterlab-extension.html

• What’s the difference between a Data Scientist and a Data Analyst?

  Find out the major differences between a Data Analyst and a Data Scientist, and read the author's pointers on what they would recommend you to do if you wish to make that transition from Data Analyst to Data Scientist.

  https://www.kdnuggets.com/2021/11/difference-data-scientist-data-analyst.html

• On-Device Deep Learning: PyTorch Mobile and TensorFlow Lite

  PyTorch and TensorFlow are the two leading AI/ML Frameworks. In this article, we take a look at their on-device counterparts PyTorch Mobile and TensorFlow Lite and examine them more deeply from the perspective of someone who wishes to develop and deploy models for use on mobile platforms.

  https://www.kdnuggets.com/2021/11/on-device-deep-learning-pytorch-mobile-tensorflow-lite.html

• 3 Differences Between Coding in Data Science and Machine Learning

  The terms ‘data science’ and ‘machine learning’ are often used interchangeably. But while they are related, there are some glaring differences, so let’s take a look at the differences between the two disciplines, specifically as it relates to programming.

  https://www.kdnuggets.com/2021/11/3-differences-coding-data-science-machine-learning.html

• Two Simple Things You Need to Steal from Agile for Data and Analytics Work

  Peer Review and Definition of Done: small changes, BIG impact.

  https://www.kdnuggets.com/2021/11/simple-things-steal-agile-data-science-analytics.html

• 25 Github Repositories Every Python Developer Should Know

  Check out these repositories to help you improve your data science skills.

  https://www.kdnuggets.com/2021/11/25-github-repositories-python-developer.html

• SAS Analytics Pro – now available for on-site or containerized cloud-native deployment – providing your entry point into SAS Viya

  Now, SAS Analytics Pro includes a new option for containerized cloud-native deployment. This makes SAS Analytics Pro a perfect entry point into SAS Viya.

  https://www.kdnuggets.com/2021/11/sas-analytics-pro-now-available.html

• Salary Breakdown of the Top Data Science Jobs">Salary Breakdown of the Top Data Science Jobs

  Machine Learning vs NLP vs Data Engineer vs Data Scientist, and what it means to be in each role.

  https://www.kdnuggets.com/2021/11/salary-breakdown-top-data-science-jobs.html

• Top 5 Time Series Methods

  Data that varies in time can offer powerful applications and use cases for data scientists to analyze. This overview considers the top techniques you can learn to understand and gain insight from time-series data.

  https://www.kdnuggets.com/2021/11/top-5-time-series-methods.html

• A Guide to 14 Different Data Science Jobs">A Guide to 14 Different Data Science Jobs

  The field of data science is growing into one that features a variety of job titles This guide reviews different positions available for you to consider if you have a data science background.

  https://www.kdnuggets.com/2021/10/guide-14-different-data-science-jobs.html

• Machine Learning Model Development and Model Operations: Principles and Practices">Machine Learning Model Development and Model Operations: Principles and Practices

  The ML model management and the delivery of highly performing model is as important as the initial build of the model by choosing right dataset. The concepts around model retraining, model versioning, model deployment and model monitoring are the basis for machine learning operations (MLOps) that helps the data science teams deliver highly performing models.

  https://www.kdnuggets.com/2021/10/machine-learning-model-development-operations-principles-practice.html

• Learn To Reproduce Papers: Beginner’s Guide">Learn To Reproduce Papers: Beginner’s Guide

  Step-by-step instructions on how to understand Deep Learning papers and implement the described approaches.

  https://www.kdnuggets.com/2021/10/learn-reproduce-papers-beginners-guide.html

• Exclusive: OpenAI summarizes KDnuggets">Exclusive: OpenAI summarizes KDnuggets

  OpenAI has recently done amazing work summarizing full-length books. We have asked OpenAI to summarize two recent KDnuggets posts, and the results have a very human-like quality. Only the last line betrays the inhuman intelligence at work.

  https://www.kdnuggets.com/2021/10/exclusive-openai-summarizes-kdnuggets.html

• Introduction to AutoEncoder and Variational AutoEncoder (VAE)">Introduction to AutoEncoder and Variational AutoEncoder (VAE)

  Autoencoders and their variants are interesting and powerful artificial neural networks used in unsupervised learning scenarios. Learn how autoencoders perform in their different approaches and how to implement with Keras on the instructional data set of the MNIST digits.

  https://www.kdnuggets.com/2021/10/introduction-autoencoder-variational-autoencoder-vae.html

• Data Science Portfolio Project Ideas That Can Get You Hired (Or Not)">Data Science Portfolio Project Ideas That Can Get You Hired (Or Not)

  Choosing what to include in your data science portfolio during the job search is the most important part of the process. Each project should be well-structured so that a hiring manager can assess your skills quickly. To help you get started, we highlight a few data science project ideas that you should consider for your portfolio.

  https://www.kdnuggets.com/2021/10/data-science-portfolio-project-ideas.html

• How to Create an Interactive Dashboard in Three Steps with KNIME Analytics Platform

  In this blog post I will show you how to build a simple, but useful and good-looking dashboard to present your data - in three simple steps!

  https://www.kdnuggets.com/2021/10/interactive-dashboard-three-steps-knime-analytics-platform.html

• Real Time Image Segmentation Using 5 Lines of Code

  PixelLib Library is a library created to allow easy integration of object segmentation in images and videos using few lines of python code. PixelLib now provides support for PyTorch backend to perform faster, more accurate segmentation and extraction of objects in images and videos using PointRend segmentation architecture.

  https://www.kdnuggets.com/2021/10/real-time-image-segmentation-5-lines-code.html

• Avoid These Five Behaviors That Make You Look Like A Data Novice">Avoid These Five Behaviors That Make You Look Like A Data Novice

  If you are new to the Data Science industry or a well-versed veteran in all things data and analytics, there are always key pitfalls that each of us can easily slide into if we are not careful. These behaviors not only make us appear like novices, but they can risk our position as a trustworthy, likable data partner with stakeholder.

  https://www.kdnuggets.com/2021/10/avoid-five-behaviors-data-novice.html

• The 20 Python Packages You Need For Machine Learning and Data Science">The 20 Python Packages You Need For Machine Learning and Data Science

  Do you do Python? Do you do data science and machine learning? Then, you need to do these crucial Python libraries that enable nearly all you will want to do.

  https://www.kdnuggets.com/2021/10/20-python-packages.html

• Create Synthetic Time-series with Anomaly Signatures in Python

  A simple and intuitive way to create synthetic (artificial) time-series data with customized anomalies — particularly suited to industrial applications.

  https://www.kdnuggets.com/2021/10/synthetic-time-series-anomaly-signatures-python.html

• Step by Step Building a Vacancy Tracker Using Tableau

  Step-by-step explanations of vacancies valued in tens of millions of dollars in the small town of Fitchburg, Massachusetts.

  https://www.kdnuggets.com/2021/10/building-vacancy-tracker-using-tableau.html

• 38 Free Courses on Coursera for Data Science">38 Free Courses on Coursera for Data Science

  There are so many online resources for learning data science, and a great deal of it can be used at no cost. This collection of free courses hosted by Coursera will help you enhance your data science and machine learning skills, no matter your current level of expertise.

  https://www.kdnuggets.com/2021/10/38-free-courses-coursera-datascience.html

• Eight Data Science Specializations, and Why You Should Pick One

  With so many Data Science specializations, where should you focus? The Pace University online Master of Science in Data Science features elective courses which allow you to focus on topics that suit your career path so that you can begin to develop a unique specialization.

  https://www.kdnuggets.com/2021/10/pace-eight-data-science-specializations.html

• Advanced Statistical Concepts in Data Science

  The article contains some of the most commonly used advanced statistical concepts along with their Python implementation.

  https://www.kdnuggets.com/2021/09/advanced-statistical-concepts-data-science.html

• Use These Unique Data Sets to Sharpen Your Data Science Skills

  Want to get your hands on some real-world data sets right now? Kick off your bootcamp prep with this list of hot-button data sets curated to help you hone different data science skills.

  https://www.kdnuggets.com/2021/09/springboard-unique-data-sets-data-science-skills.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

• Real-Time Histogram Plots on Unbounded Data

  Using histograms on real-time data is not possible in most of the popular data science libraries. In this article you will learn how dynamically compute and display a histogram within a Python notebook.

  https://www.kdnuggets.com/2021/09/real-time-histogram-plots-unbounded-data.html

• A Breakdown of Deep Learning Frameworks

  Deep Learning continues to evolve as one of the most powerful techniques in the AI toolbox. Many software packages exist today to support the development of models, and we highlight important options available with key qualities and differentiators to help you select the most appropriate for your needs.

  https://www.kdnuggets.com/2021/09/a-breakdown-deep-learning-frameworks.html

• Nine Tools I Wish I Mastered Before My PhD in Machine Learning">Nine Tools I Wish I Mastered Before My PhD in Machine Learning

  Whether you are building a start up or making scientific breakthroughs these tools will bring your ML pipeline to the next level.

  https://www.kdnuggets.com/2021/09/nine-tools-mastered-before-phd-machine-learning.html

• KDnuggets™ News 21:n36, Sep 22: The Machine & Deep Learning Compendium Open Book; Easy SQL in Native Python

  The Machine & Deep Learning Compendium Open Book; Easy SQL in Native Python; Introduction to Automated Machine Learning; How to be a Data Scientist without a STEM degree; What Is The Real Difference Between Data Engineers and Data Scientists?

  https://www.kdnuggets.com/2021/n36.html

• Data Engineering Technologies 2021

  Emerging technologies supporting the field of data engineering are growing at a rapid clip. This curated list includes the most important offerings available in 2021.

  https://www.kdnuggets.com/2021/09/data-engineering-technologies-2021.html

• How to label time series efficiently – and boost your AI

  Data labeling is a critical step in building high-quality AI models. This blog explains how to speed up the labeling process of time series data from sensors and IoT devices.

  https://www.kdnuggets.com/2021/09/visplore-label-time-series-efficiently.html

• How to be a Data Scientist without a STEM degree">How to be a Data Scientist without a STEM degree

  Breaking into data science as a professional does require technical skills, a well-honed knack for problem-solving, and a willingness to swim in oceans of data. Maybe you are coming in as a career change or ready to take a new learning path in life--without having previously earned an advanced degree in a STEM field. Follow these tips to find your way into this high-demand and interesting field.

  https://www.kdnuggets.com/2021/09/data-scientist-without-stem-degree.html

• What 2 years of self-teaching data science taught me

  Many of us self-learn data science from the very beginning. While continuing to self-learn on demand is crucial, especially after you become a professional, there can be many pitfalls early on for learning the wrong way or missing out on key ideas that are important for the real-world application of data science.

  https://www.kdnuggets.com/2021/09/2-years-self-teaching-data-science.html

• Introducing TensorFlow Similarity

  TensorFlow Similarity is a newly-released library from Google that facilitates the training, indexing and querying of similarity models. Check out more here.

  https://www.kdnuggets.com/2021/09/introducing-tensorflow-similarity.html

• What Is The Real Difference Between Data Engineers and Data Scientists?

  To launch your data career, you’ll need both theoretical knowledge and applied skills. Bootcamp programs like Springboard’s Data Science Career Track and Data Engineering Career Track can help make you job-ready through hands-on, project-based learning and one-on-one mentorship. Wondering which data career path is right for you? Read on to find out.

  https://www.kdnuggets.com/2021/09/springboard-difference-data-engineers-data-scientists.html

• The Prefect Way to Automate & Orchestrate Data Pipelines

  I am migrating all my ETL work from Airflow to this super-cool framework.

  https://www.kdnuggets.com/2021/09/prefect-way-automate-orchestrate-data-pipelines.html

• 3 Most Important Lessons I’ve Learned 3 Years Into My Data Science Career

  After only 3 years of working as a data professional, many tried-and-true lessons can be learned. Here are 3 of the most important lessons learned with key takeaways and reflections shared.

  https://www.kdnuggets.com/2021/09/3-important-lessons-data-science-career.html

• 7 Differences Between a Data Analyst and a Data Scientist">7 Differences Between a Data Analyst and a Data Scientist

  This article discusses the 7 key differences between data analysts and data scientists with an aim to help potential data analysts/scientists determine which is the right one for them. I touch on day-to-day tasks, skill requirements, typical career progression, and salary and career prospects for both.

  https://www.kdnuggets.com/2021/09/7-differences-between-data-analyst-data-scientist.html

• Top 18 Low-Code and No-Code Machine Learning Platforms">Top 18 Low-Code and No-Code Machine Learning Platforms

  Machine learning becomes more accessible to companies and individuals when there is less coding involved. Especially if you are just starting your path in ML, then check out these low-code and no-code platforms to help expedite your capabilities in learning and applying AI.

  https://www.kdnuggets.com/2021/09/top-18-low-code-no-code-machine-learning-platforms.html

• How Machine Learning Leverages Linear Algebra to Solve Data Problems

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  https://www.kdnuggets.com/2021/09/machine-learning-leverages-linear-algebra-solve-data-problems.html

• ebook: Learn Data Science with R – free download

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  https://www.kdnuggets.com/2021/09/ebook-learn-data-science-r.html

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  Data scientists do not have to learn HTML, CSS, and JavaScript to build web pages.

  https://www.kdnuggets.com/2021/09/create-stunning-web-apps-data-science-projects.html

• 6 Cool Python Libraries That I Came Across Recently

  Check out these awesome Python libraries for Machine Learning.

  https://www.kdnuggets.com/2021/09/6-cool-python-libraries-recently.html

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  https://www.kdnuggets.com/2021/08/multilabel-document-categorization.html

• 11 Best Data Science Education Platforms

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  https://www.kdnuggets.com/2021/08/11-best-data-science-education-platforms.html

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  Just getting into learning data science may seem as daunting as (if not more than) trying to land your first job in the field. With so many options and resources online and in traditional academia to consider, these pre-requisites and pre-work are recommended before diving deep into data science and AI/ML.

  https://www.kdnuggets.com/2021/08/learn-data-science-machine-learning.html

• 5 Things That Make My Job as a Data Scientist Easier

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  https://www.kdnuggets.com/2021/08/5-things-job-data-scientist-easier.html

• Stack Overflow Survey Data Science Highlights

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  https://www.kdnuggets.com/2021/08/stack-overflow-survey-data-science-highlights.html

• 15 Things I Look for in Data Science Candidates

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  https://www.kdnuggets.com/2021/08/15-things-data-science-candidates.html

• Querying the Most Granular Demographics Dataset

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  https://www.kdnuggets.com/2021/08/querying-granular-demographic-dataset.html

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  https://www.kdnuggets.com/2021/08/visualizing-bias-variance.html

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  https://www.kdnuggets.com/2021/08/bootstrap-modern-data-stack-terraform.html

• How To 2x Your Data Analytics Consulting Rates (Overnight)

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  https://www.kdnuggets.com/2021/08/2x-data-analytics-consulting-rates-overnight.html

• GPU-Powered Data Science (NOT Deep Learning) with RAPIDS">GPU-Powered Data Science (NOT Deep Learning) with RAPIDS

  How to utilize the power of your GPU for regular data science and machine learning even if you do not do a lot of deep learning work.

  https://www.kdnuggets.com/2021/08/gpu-powered-data-science-deep-learning-rapids.html

• Why and how should you learn “Productive Data Science”?">Why and how should you learn “Productive Data Science”?

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  https://www.kdnuggets.com/2021/07/learn-productive-data-science.html

• How to Use Kafka Connect to Create an Open Source Data Pipeline for Processing Real-Time Data

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  https://www.kdnuggets.com/2021/07/kafka-open-source-data-pipeline-processing-real-time-data.html

• Advice for Learning Data Science from Google’s Director of Research">Advice for Learning Data Science from Google’s Director of Research

  Surfing the professional career wave in data science is a hot prospect for many looking to get their start in the world. The digital revolution continues to create many exciting new opportunities. But, jumping in too fast without fully establishing your foundational skills can be detrimental to your success, as is suggested by this advice for data science newbies from Peter Norvig, the Director of Research at Google.

  https://www.kdnuggets.com/2021/07/google-advice-learning-data-science.html

• AWS Webinar: How are data-driven companies using ESG and sustainability data to make actionable decisions?

  In this virtual session, on Jul 29 @ 11AM PT, 2PM ET, our panel of experts will uncover how companies across several verticals use ESG data to move beyond the reporting benchmark, deepen business insights, and create competitive differentiation.

  https://www.kdnuggets.com/2021/07/roidna-aws-webinar-data-driven-esg-sustainability-decisions.html

• Top 6 Data Science Online Courses in 2021">Top 6 Data Science Online Courses in 2021

  As an aspiring data scientist, it is easy to get overwhelmed by the abundance of resources available on the Internet. With these 6 online courses, you can develop yourself from a novice to experienced in less than a year, and prepare you with the skills necessary to land a job in data science.

  https://www.kdnuggets.com/2021/07/top-6-data-science-online-courses.html

• High-Performance Deep Learning: How to train smaller, faster, and better models – Part 4

  With the right software, hardware, and techniques at your fingertips, your capability to effectively develop high-performing models now hinges on leveraging automation to expedite the experimental process and building with the most efficient model architectures for your data.

  https://www.kdnuggets.com/2021/07/high-performance-deep-learning-part4.html

• 5 Python Data Processing Tips & Code Snippets">5 Python Data Processing Tips & Code Snippets

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  https://www.kdnuggets.com/2021/07/python-tips-snippets-data-processing.html

• A Learning Path To Becoming a Data Scientist">A Learning Path To Becoming a Data Scientist

  Becoming a professional data scientist may not be as easy as "1... 2... 3...", but these 10 steps can be your self-learning roadmap to kickstarting your future in the exciting and ever-expanding field of data science.

  https://www.kdnuggets.com/2021/07/learning-path-data-scientist.html

• How To Transition From Data Freelancer to Data Entrepreneur (Almost Overnight)

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  https://www.kdnuggets.com/2021/07/transition-data-freelancer-data-entrepreneur-overnight.html

• From Scratch: Permutation Feature Importance for ML Interpretability

  Use permutation feature importance to discover which features in your dataset are useful for prediction — implemented from scratch in Python.

  https://www.kdnuggets.com/2021/06/from-scratch-permutation-feature-importance-ml-interpretability.html

• 10 Mistakes You Should Avoid as a Data Science Beginner

  Read this article on how to gain a competitive advantage in the data science job market.

  https://www.kdnuggets.com/2021/06/10-mistakes-avoid-data-science-beginner.html

• How to create an interactive 3D chart and share it easily with anyone

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  https://www.kdnuggets.com/2021/06/create-interactive-3d-chart-share.html

• Create and Deploy Dashboards using Voila and Saturn Cloud

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  https://www.kdnuggets.com/2021/06/create-deploy-dashboards-voila-saturn-cloud.html

• Amazing Low-Code Machine Learning Capabilities with New Ludwig Update

  Integration with Ray, MLflow and TabNet are among the top features of this release.

  https://www.kdnuggets.com/2021/06/ludwig-update-includes-low-code-machine-learning-capabilities.html

• Data Science is Not Becoming Extinct in 10 Years, Your Skills Might

  4 reasons why data science is here to stay and what you need to do to ensure that your skillset stays in demand.

  https://www.kdnuggets.com/2021/06/data-science-not-becoming-extinct-10-years.html

• How to Land a Data Analytics Job in 6 Months">How to Land a Data Analytics Job in 6 Months

  Go from zero to hero in under six months. Data science has a very high barrier of entry. It is a very competitive field that everybody from different educational backgrounds are looking to get into. Here is useful advice on how to proceed.

  https://www.kdnuggets.com/2021/06/land-data-analytics-job-6-months.html

• Data storytelling: brains are built for visuals, but hearts turn on stories

  Today, we need much more than just numbers about our organization to understand, gain insights, and take relevant actions. While visualizations of the data are important, making an emotional connection with the stories behind the data is key. If you want to sell a story, send a missile to the heart.

  https://www.kdnuggets.com/2021/06/data-storytelling.html

• How a Polytechnic Helps You Make the Tech-Business Connection

  WPI welcomes professionals of all levels to its 100% online MS in Business Analytics — no GRE or GMAT required. Get started here.

  https://www.kdnuggets.com/2021/06/wpi-polytechnic-make-tech-business-connection.html

• Get Interactive Plots Directly With Pandas">Get Interactive Plots Directly With Pandas

  Telling a story with data is a core function for any Data Scientist, and creating data visualizations that are simultaneously illuminating and appealing can be challenging. This tutorial reviews how to create Plotly and Bokeh plots directly through Pandas plotting syntax, which will help you convert static visualizations into interactive counterparts -- and take your analysis to the next level.

  https://www.kdnuggets.com/2021/06/interactive-plots-directly-pandas.html

• Top 10 Data Science Projects for Beginners">Top 10 Data Science Projects for Beginners

  Check out these projects for ideas to strengthen your skills and build a portfolio that stands out.

  https://www.kdnuggets.com/2021/06/top-10-data-science-projects-beginners.html

• Feature Selection – All You Ever Wanted To Know

  Although your data set may contain a lot of information about many different features, selecting only the "best" of these to be considered by a machine learning model can mean the difference between a model that performs well--with better performance, higher accuracy, and more computational efficiency--and one that falls flat. The process of feature selection guides you toward working with only the data that may be the most meaningful, and to accomplish this, a variety of feature selection types, methodologies, and techniques exist for you to explore.

  https://www.kdnuggets.com/2021/06/feature-selection-overview.html

• How to Generate Automated PDF Documents with Python">How to Generate Automated PDF Documents with Python

  Discover how to leverage automation to create dazzling PDF documents effortlessly.

  https://www.kdnuggets.com/2021/06/generate-automated-pdf-documents-python.html

• SAS® Visual Data Science Decisioning powered by SAS® Viya®: Free Trial

  SAS® Visual Data Science Decisioning provides the ultimate analytics experience. Start your free trial and get access to the latest in data visualization, machine learning, forecasting, model deployment and more.

  https://www.kdnuggets.com/2021/06/sas-viya-visual-data-science-free-trial.html

• 5 Data Science Open-source Projects You Should Consider Contributing to

  As you prepare to interview for a position in data science or are looking to jump to the next level, now is the time to enhance your skills and your resume with by working on rea, open-source projects. Here, we suggest a great selection of projects you can contribute to and help build something awesome, so, all you need to do choose one and tackle it head on.

  https://www.kdnuggets.com/2021/06/5-data-science-open-source-projects-contribute.html

• PyCaret 101: An introduction for beginners

  This article is a great overview of how to get started with PyCaret for all your machine learning projects.

  https://www.kdnuggets.com/2021/06/pycaret-101-introduction-beginners.html

• Machine Learning Model Interpretation

  Read this overview of using Skater to build machine learning visualizations.

  https://www.kdnuggets.com/2021/06/machine-learning-model-interpretation.html