- The 20 Python Packages You Need For Machine Learning and Data Science - Oct 14, 2021.
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.
- How Hasura Improved Conversion Rates By 20% With PostHog - Oct 13, 2021.
Find out how Hasura increased conversion rates by 10-20% by using PostHog for self-hosted product analytics!
- How to Ace Data Science Interview by Working on Portfolio Projects - Oct 13, 2021.
Recruiters of Data Science professionals around the world focus on portfolio projects rather than resumes and LinkedIn profiles. So, learning early how to contribute and share your work on GitHub, Deepnote, and Kaggle can help you perform your best during data science interviews.
- Choose The Right Job in Data: 5 Signs To Look For In An Engineering Culture - Oct 8, 2021.
Software engineers seeking jobs at data companies face a new problem: choosing the right job out of all the options. Learn the 5 signs that signal an agile and innovative engineering culture.
- Dealing with Data Leakage - Oct 8, 2021.
Target leakage and data leakage represent challenging problems in machine learning. Be prepared to recognize and avoid these potentially messy problems.
- KDnuggets™ News 21:n38, Oct 6: Build a Strong Data Science Portfolio; Surpassing Trillion Parameters with Switch Transformers — a path to AGI? - Oct 6, 2021.
How to Build Strong Data Science Portfolio as a Beginner; Surpassing Trillion Parameters and GPT-3 with Switch Transformers — a path to AGI?; How Deep Is That Data Lake?; Data Science Process Lifecycle; Use These Unique Data Sets to Sharpen Your Data Science Skills; How to Auto-Detect the Date/Datetime Columns and Set Their Datatype When Reading a CSV File in Pandas
- Data science SQL interview questions from top tech firms - Oct 5, 2021.
As a data scientist, there is one thing you really need to understand and know how to handle: data. With SQL being a foundational technical approach for working with data, it should not be surprising that the top tech companies will ask about your SQL skills during an interview. Here, we cover the key concepts tested so you can best prepare for your next data science interview.
- Advanced Statistical Concepts in Data Science - Sep 30, 2021.
The article contains some of the most commonly used advanced statistical concepts along with their Python implementation.
- GitHub Desktop for Data Scientists - Sep 29, 2021.
Less scary than version control in the command line.
- Important Statistics Data Scientists Need to Know - Sep 29, 2021.
Several fundamental statistical concepts must be well appreciated by every data scientist -- from the enthusiast to the professional. Here, we provide code snippets in Python to increase understanding to bring you key tools that bring early insight into your data.
- Data Science Process Lifecycle - Sep 29, 2021.
How would it feel to know that without a doubt, the data projects you were working on would create TRUE ROI for your organization? Stick around until the end to get my data science process lifecycle framework so that each data project you run is a smashing success.
- Path to Full Stack Data Science - Sep 27, 2021.
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.
- Data Analysis Using Scala - Sep 24, 2021.
It is very important to choose the right tool for data analysis. On the Kaggle forums, where international Data Science competitions are held, people often ask which tool is better. R and Python are at the top of the list. In this article we will tell you about an alternative stack of data analysis technologies, based on Scala.
- How Data Scientists Can Compete in the Global Job Market - Sep 24, 2021.
Data scientists wanting to stay competitive or break into the field will need the right approach. These techniques will help them search for and secure a new position.
- Nine Tools I Wish I Mastered Before My PhD in Machine Learning - Sep 22, 2021.
Whether you are building a start up or making scientific breakthroughs these tools will bring your ML pipeline to the next level.
- Paradoxes in Data Science - Sep 17, 2021.
Have a look into some of the main paradoxes associate with Data Science and it’s statistical foundations.
- What 2 years of self-teaching data science taught me - Sep 17, 2021.
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.
- 85% of data science projects fail – here’s how to avoid it - Sep 13, 2021.
Here are a few common traps that data scientists can avoid to NOT be one of the 85% of data science projects that fail.
- 3 Most Important Lessons I’ve Learned 3 Years Into My Data Science Career - Sep 13, 2021.
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.
- Working with Python APIs For Data Science Project - Sep 10, 2021.
In this article, we will work with YouTube Python API to collect video statistics from our channel using the requests python library to make an API call and save it as a Pandas DataFrame.
- A Data Science Portfolio That Will Land You The Job - Sep 10, 2021.
Landing a data science job is no easy feat, especially during the COVID-19 pandemic. This article provides aspiring data scientists with advice on building a data science portfolio that stands out.
- 7 Differences Between a Data Analyst and a Data Scientist - Sep 9, 2021.
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.
- 300 Data Science Leaders Share What’s Holding Their Teams Back - Sep 8, 2021.
Flawed investments in people, processes, and tools are crushing potential business impact.
- KDnuggets™ News 21:n34, Sep 8: Do You Read Excel Files with Python? There is a 1000x Faster Way; Hypothesis Testing Explained - Sep 8, 2021.
Do You Read Excel Files with Python? There is a 1000x Faster Way; Hypothesis Testing Explained; Data Science Cheat Sheet 2.0; 6 Cool Python Libraries That I Came Across Recently; Best Resources to Learn Natural Language Processing in 2021
- How Machine Learning Leverages Linear Algebra to Solve Data Problems - Sep 7, 2021.
Why you should learn the fundamentals of linear algebra.
- ebook: Learn Data Science with R – free download - Sep 7, 2021.
Check out this new book for data science beginners with many practical examples that covers statistics, R, graphing, and machine learning. As a source to learn the full breadth of data science foundations, "Learn Data Science with R" starts at the beginner level and gradually progresses into expert content.
- How to Create Stunning Web Apps for your Data Science Projects - Sep 7, 2021.
- 6 Cool Python Libraries That I Came Across Recently - Sep 3, 2021.
Check out these awesome Python libraries for Machine Learning.
- Data Science Cheat Sheet 2.0 - Sep 1, 2021.
Check out this helpful, 5-page data science cheat sheet to assist with your exam reviews, interview prep, and anything in-between.
- KDnuggets™ News 21:n33, Sep 1: Top Industries Hiring Data Scientists; The Most Important Tool for Data Engineers - Sep 1, 2021.
The top industries hiring Data Scientists; The most important tool for data engineers (hint - it is not technical); How to Engineer Date Features in Python; 15 Python Snippets to Optimize your Data Science Pipeline
- Data Science Project Infrastructure: How To Create It - Aug 30, 2021.
The intension for most data science projects is to build something that people use. Creating something purposeful requires a solid infrastructure and processes that keeps problem-solving front-and-center for your audience.
- How causal inference lifts augmented analytics beyond flatland - Aug 27, 2021.
In our quest to better understand and predict business outcomes, traditional predictive modeling tends to fall flat. However, causal inference techniques along with business analytics approaches can unravel what truly changes your KPIs.
- 15 Python Snippets to Optimize your Data Science Pipeline - Aug 25, 2021.
Quick Python solutions to help your data science cycle.
- Learning Data Science and Machine Learning: First Steps After The Roadmap - Aug 24, 2021.
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.
- 5 Things That Make My Job as a Data Scientist Easier - Aug 23, 2021.
After working as a Data Scientist for a year, I am here to share some things I learnt along the way that I feel are helpful and have increased my efficiency. Hopefully some of these tips can help you in your journey :)
- Stack Overflow Survey Data Science Highlights - Aug 20, 2021.
The results of the 2021 Stack Overflow Developer Survey were recently released, which is a fascinating snapshot of today's developers and the tools they are using. Have a look at some selections from the report, particularly those which may be of interest to data professionals.
- How to Select an Initial Model for your Data Science Problem - Aug 20, 2021.
Save yourself some time and headaches and start simple.
- 5 Data Science Career Mistakes To Avoid - Aug 19, 2021.
Everyone makes mistakes, which can be a good thing when they lead to learning and improvements over time. But, we can also try to first learn from others to expedite our personal growth. To get started, consider these lessons learned the hard way, so you don’t have to.
- 15 Things I Look for in Data Science Candidates - Aug 19, 2021.
This article presents advice for anyone looking or hiring for data science jobs, written by someone with practical and useful insight.
- When Correlation is Better than Causation - Aug 18, 2021.
Identifying causality in an analysis isn't always practical. We show a heuristic approach for using correlations to inform decisions.
- Leaders at Allstate, eBay & Red Bull Agree: Don’t Miss the Rev 3 Enterprise MLOps Summit - Aug 17, 2021.
Join data science and MLOps leaders in-person in Chicago this November.
- What I Learned From “Women in Data Science” Conferences - Aug 17, 2021.
Read the author's perspective after attending 3 "Women in Data Science" conferences.
- Introduction to Statistical Learning Second Edition - Aug 13, 2021.
The second edition of the classic "An Introduction to Statistical Learning, with Applications in R" was published very recently, and is now freely-available via PDF on the book's website.
- KDnuggets™ News 21:n30, Aug 11: Most Common Data Science Interview Questions and Answers; How Visualization is Transforming Exploratory Data Analysis - Aug 11, 2021.
Most Common Data Science Interview Questions and Answers; How Visualization is Transforming Exploratory Data Analysis; How To Become A Freelance Data Scientist – 4 Practical Tips; How to Query Your Pandas Dataframe; Essential Math for Data Science: Introduction to Systems of Linear Equations
- How My Learning Path Changed After Becoming a Data Scientist - Aug 10, 2021.
I keep learning but in a different way.
- Using Twitter to Understand Pizza Delivery Apprehension During COVID - Aug 6, 2021.
Analyzing customer sentiments and capturing any specific difference in emotion to order Dominos pizza in India during lockdown.
- Essential Math for Data Science: Introduction to Systems of Linear Equations - Aug 6, 2021.
In this post, you’ll see how you can use systems of equations and linear algebra to solve a linear regression problem.
- Most Common Data Science Interview Questions and Answers - Aug 5, 2021.
After analyzing 900+ data science interview questions from companies over the past few years, the most common data science interview question categories are reviewed in this guide, each explained with an example.
- How To 2x Your Data Analytics Consulting Rates (Overnight) - Aug 3, 2021.
Looking to up your data analytics consulting rates? Learn exactly what most freelancers are charging, and the rates you SHOULD be charging as a business intelligence and analytics consultant. This post will show you what you need to know to achieve maximum results for your data consulting career.
- GPU-Powered Data Science (NOT Deep Learning) with RAPIDS - Aug 2, 2021.
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.
- Online Master’s in Data Science from Northwestern - Jul 29, 2021.
Build statistical and analytical expertise as well as the management and leadership skills necessary to implement high-level, data-driven decisions in Northwestern's online Master of Science in Data Science program. Apply now!
- A Brief Introduction to the Concept of Data - Jul 29, 2021.
Every aspiring data scientist must know the concept of data and the kind of analysis they can run. This article introduces the concept of data (quantitative and qualitative) and the types of analysis.
- The Brutal Truth About Data Science - Jul 28, 2021.
Many organizations approach data science as though it was a marketing tool — relabeling things that they already do as ‘data science’ as it involves the use of data. That is not real data science, and it completely misses the point of engaging in data science.
- Python Data Structures Compared - Jul 27, 2021.
Let's take a look at 5 different Python data structures and see how they could be used to store data we might be processing in our everyday tasks, as well as the relative memory they use for storage and time they take to create and access.
- Not Only for Deep Learning: How GPUs Accelerate Data Science & Data Analytics - Jul 26, 2021.
Modern AI/ML systems’ success has been critically dependent on their ability to process massive amounts of raw data in a parallel fashion using task-optimized hardware. Can we leverage the power of GPU and distributed computing for regular data processing jobs too?
- 5 Mistakes I Wish I Had Avoided in My Data Science Career - Jul 26, 2021.
Everyone makes mistakes, which can be a good thing when they lead to learning and improvements over time. But, we can also try to first learn from others to expedite our personal growth. To get started, consider these lessons learned the hard way, so you don’t have to.
- Why and how should you learn “Productive Data Science”? - Jul 26, 2021.
What is Productive Data Science and what are some of its components?
- Top Python Data Science Interview Questions - Jul 23, 2021.
Six must-know technical concepts and two types of questions to test them.
- KDnuggets™ News 21:n27, Jul 21: Top 6 Data Science Online Courses in 2021; Geometric Foundations of Deep Learning - Jul 21, 2021.
Top 6 Data Science Online Courses in 2021; Geometric foundations of Deep Learning; Google’s Director of Research Advice for Learning Data Science; SQL, Syllogisms, and Explanations; How to Create Unbiased Machine Learning Models
- When to Retrain an Machine Learning Model? Run these 5 checks to decide on the schedule - Jul 20, 2021.
Machine learning models degrade with time, and need to be regularly updated. In the article, we suggest how to approach retraining and plan for it in advance.
- Advice for Learning Data Science from Google’s Director of Research - Jul 19, 2021.
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.
- Why Saying “We Accept the Null Hypothesis” is Wrong: An Intuitive Explanation - Jul 19, 2021.
“The opposite of ‘Rejecting the Null’ is ‘Accepting’ isn’t it?”. Well, it is not so simple as it is construed. We need to rise above antonyms and understand one crucial concept.
- SQL, Syllogisms, and Explanations - Jul 14, 2021.
Check out the Executable English Platform, for self-explaining applications written in English that you can run in your browser.
- Streamlit Tips, Tricks, and Hacks for Data Scientists - Jul 13, 2021.
Today, I am going to talk about a few tips that I learned within more than a year of using Streamlit, that you can also use to unleash your powerful DS/AI/ML (whatever they may be) applications.
- Abstraction and Data Science: Not a great combination - Jul 12, 2021.
The article is about too much abstraction and how this programming concept when extended to Data Science makes Data Science non-intuitive.
- A Lightning Fast Look at Single Line Exploratory Data Analysis - Jul 8, 2021.
Here's a very quick look at how you can perform EDA with a single line of code using D-Tale.
- How To Transition From Data Freelancer to Data Entrepreneur (Almost Overnight) - Jul 6, 2021.
Data freelancers trade hours for dollars while data entrepreneurs have found a way to make money while they sleep. Ready to make the transition? Keep reading to learn how to do it as SEAMLESSLY and PROFITABLY as possible.
- Prepare Behavioral Questions for Data Science Interviews - Jul 2, 2021.
This is part 5 of a series by the author which helps readers nail the data science interviews with confidence.
- Learning Data Science Through Social Media - Jul 1, 2021.
Want your social media algorithms to show you actual algorithms? Spare a moment during your social media scrolling to learn a bit of data science. Here are suggestions for at-a-glance access to good ideas and tips on your favorite platforms.
- 5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist - Jul 1, 2021.
How to stand out from your peers in the data world.
- KDnuggets™ News 21:n24, Jun 30: What will the demand for Data Scientists be in 10 years?; Add A New Dimension To Your Photos Using Python - Jun 30, 2021.
What will the demand for Data Scientists be in 10 years? Will Data Scientists be extinct?; Add A New Dimension To Your Photos Using Python; Data Scientists are from Mars and Software Developers are from Venus; How to Train a Joint Entities and Relation Extraction Classifier using BERT Transformer with spaCy 3; In-Warehouse Machine Learning and the Modern Data Science Stack
- Unleashing the Power of MLOps and DataOps in Data Science - Jun 29, 2021.
Organizations trying to move forward with analytics and data science initiatives -- while floating in an ocean of data -- must enhance their overall approach and culture to embrace a foundation on DataOps and MLOps. Leveraging these operational frameworks are necessary to enable the data to generate real business value.
- 10 Mistakes You Should Avoid as a Data Science Beginner - Jun 29, 2021.
Read this article on how to gain a competitive advantage in the data science job market.
- Season 1 Of Data Science Perspectives Webcast Released - Jun 24, 2021.
Season 1 of Data Science Perspectives is now live and ready for viewing, where I interview many of the executives and professionals I’ve met to enable viewers to learn about how their careers unfolded, what skills they look for when hiring, what trends they think are coming next, and more.
- What will the demand for Data Scientists be in 10 years? Will Data Scientists be extinct? - Jun 24, 2021.
Participate in the latest KDnuggets survey and share your opinion: what does the next decade have in store for data scientist demand?
- In-Warehouse Machine Learning and the Modern Data Science Stack - Jun 24, 2021.
As your organization matures its data science portfolio and capabilities, establishing a modern data stack is vital to enabling such growth. Here, we overview various in-data warehouse machine learning services, and discuss each of their benefits and requirements.
- Create and Deploy Dashboards using Voila and Saturn Cloud - Jun 23, 2021.
Working with and training large datasets, maintaining them all in one place, and deploying them to production is a challenging job. In this article, we covered what Saturn Cloud is and how it can speed up your end-to-end pipeline, how to create dashboards using Voila and Python and publish them to production in just a few easy steps.
- Data Science is Not Becoming Extinct in 10 Years, Your Skills Might - Jun 18, 2021.
4 reasons why data science is here to stay and what you need to do to ensure that your skillset stays in demand.
- 7 Data Security Best Practices for 2021 - Jun 15, 2021.
Here are seven data security best practices to adopt this year.
- Data Scientists Will be Extinct in 10 Years - Jun 14, 2021.
And why it’s not a bad thing.
- Top 10 Data Science Projects for Beginners - Jun 11, 2021.
Check out these projects for ideas to strengthen your skills and build a portfolio that stands out.
- Data Scientists, You Need to Know How to Code - Jun 9, 2021.
You need to know how to code — and not just code, but write good code.
- How a Single Mistake Wasted 3 Years of My Data Science Journey - Jun 9, 2021.
Self-paced courses are just sleeping pills; Industry experts are the right choice.
- KDnuggets™ News 21:n21, Jun 9: 5 Tasks To Automate With Python; How I Doubled My Income with Data Science and Machine Learning - Jun 9, 2021.
5 Tasks To Automate With Python; How I Doubled My Income with Data Science and Machine Learning; Will There Be a Shortage of Data Science Jobs in the Next 5 Years?; How to Make Python Code Run Incredibly Fast; Stop (and Start) Hiring Data Scientists
- SAS® Visual Data Science Decisioning powered by SAS® Viya®: Free Trial - Jun 8, 2021.
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.
- 5 Data Science Open-source Projects You Should Consider Contributing to - Jun 7, 2021.
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.
- Will There Be a Shortage of Data Science Jobs in the Next 5 Years? - Jun 3, 2021.
The data science workflow is getting automated day by day.
- How I Doubled My Income with Data Science and Machine Learning - Jun 1, 2021.
Many career opportunities exist in the ever-expanding domain of data. Finding your place -- and finding your salary -- is largely up to your dedication, focus, and drive to learn. If you are an aspiring Data Scientist or have already started your professional journey, there are multiple strategies for maximizing your earning potential.
- Essential Math for Data Science: Basis and Change of Basis - May 28, 2021.
In this article, you will learn what the basis of a vector space is, see that any vectors of the space are linear combinations of the basis vectors, and see how to change the basis using change of basis matrices.
- KDnuggets™ News 21:n20, May 26: Data Engineer, Data Scientists & Other Data Careers, Explained; Where Did You Apply Analytics & Data Science Recently? - May 26, 2021.
Data Scientist, Data Engineer & Other Data Careers, Explained; A Guide On How To Become A Data Scientist (Step By Step Approach); A checklist to track your Data Science progress; How to Determine if Your Machine Learning Model is Overtrained; Differentiable Programming from Scratch
- Where Did You Apply Analytics, Data Science, Machine Learning in 2020/2021? - May 25, 2021.
Take part in the latest KDnuggets survey, and let us know where you have been applying Analytics, Data Science, Machine Learning in 2020/2021.
- These Soft Skills Can Make or Break Your Data Science Career - May 25, 2021.
In an industry long ruled by hard skills, the future career success of tomorrow’s data scientists might well depend on their ability to deploy a variety of soft skills into the workplace.
- 6 Business Trends Benefiting Data Scientists - May 21, 2021.
Here are six business trends making data scientists even more in-demand.
- Awesome list of datasets in 100+ categories - May 20, 2021.
With an estimated 44 zettabytes of data in existence in our digital world today and approximately 2.5 quintillion bytes of new data generated daily, there is a lot of data out there you could tap into for your data science projects. It's pretty hard to curate through such a massive universe of data, but this collection is a great start. Here, you can find data from cancer genomes to UFO reports, as well as years of air quality data to 200,000 jokes. Dive into this ocean of data to explore as you learn how to apply data science techniques or leverage your expertise to discover something new.
- A checklist to track your Data Science progress - May 19, 2021.
Whether you are just starting out in data science or already a gainfully-employed professional, always learning more to advance through state-of-the-art techniques is part of the adventure. But, it can be challenging to track of your progress and keep an eye on what's next. Follow this checklist to help you scale your expertise from entry-level to advanced.
- Data Practitioner Survey: Want to know what you’re worth? - May 18, 2021.
Want to know what you’re worth? The AI Summit is compiling a 2021 Data Practitioner Salary Report. We would love your input if you are involved with machine learning in a business context, whether as a software architect, data scientist, engineer, developer, modeller, administrator, or analyst.
- Animated Bar Chart Races in Python - May 18, 2021.
A quick and step-by-step beginners project to create an animation bar graph for an amazing Covid dataset.
- Best Python Books for Beginners and Advanced Programmers - May 14, 2021.
Let's take a look at nine of the best Python books for both beginners and advanced programmers, covering topics such as data science, machine learning, deep learning, NLP, and more.
- KDnuggets™ News 21:n18, May 12: Data Preparation in SQL, with Cheat Sheet!; Rebuilding 7 Python Projects - May 12, 2021.
Data Preparation in SQL, with Cheat Sheet!; Rebuilding My 7 Python Projects; Applying Python’s Explode Function to Pandas DataFrames; Essential Linear Algebra for Data Science and Machine Learning; Similarity Metrics in NLP
- Rebuilding My 7 Python Projects - May 5, 2021.
This is how I rebuilt My Python Projects: Data Science, Web Development & Android Apps.
- KDnuggets™ News 21:n17, May 5: Charticulator: Microsoft Research open-source game-changing Data Visualization platform; Data Science to Predict and Prevent Real World Problems - May 5, 2021.
Charticulator: Microsoft Research game-changing Data Visualization platform; How Data Science is used to predict and prevent real world problems; Hilarious Data Science Humor; Neural Networks for Natural Language Processing Now; and more.
- Hilarious Data Science Humor - May 2, 2021.
Data scientists and developers share a goofy sense of humor. Here are some puns that we — data scientists/programmers— can definitely relate to.
- Feature Engineering of DateTime Variables for Data Science, Machine Learning - Apr 29, 2021.
Learn how to make more meaningful features from DateTime type variables to be used by Machine Learning Models.
- The secret to analysing large, complex datasets quickly and productively? - Apr 29, 2021.
Data is beautiful, and lots of data is simply sublime, but be wary of the pitfalls. Sometimes you have so much data you can waste hours exploring without answering the important questions. These 5 tips will show you how to analyse large complex datasets productively by constraining yourself.
- How to Build an Impressive Data Science Resume - Apr 28, 2021.
Every one of us needs a resume to showcase our skills and experience but how much effort are we putting into it to make it impactful. It is undeniable that resumes play a key role in our job application process. This article will explore some simple strategies to significantly improve the presentation as well as the content of data science resumes.
- Best Podcasts for Machine Learning - Apr 28, 2021.
Podcasts, especially those featuring interviews, are great for learning about the subfields and tools of AI, as well as the rock stars and superheroes of the AI world. Here, we highlight some of the best podcasts today that are perfect for both those learning about machine learning and seasoned practitioners.
- Using Data Science to Predict and Prevent Real World Problems - Apr 28, 2021.
Do you have an interest in data science but lack an understanding of what, exactly, it can be used to accomplish in the real world? Read this article for a few examples of just how helpful data science can be for predicting and preventing real world problems.
- KDnuggets™ News 21:n16, Apr 28: Data Science Books You Should Start Reading in 2021; Top 10 Must-Know Machine Learning Algorithms for Data Scientists - Apr 28, 2021.
Data science is not about data – applying Dijkstra principle to data science; Data Science Books You Should Start Reading in 2021; How to ace A/B Testing Data Science Interviews; Top 10 Must-Know Machine Learning Algorithms for Data Scientists – Part 1; Production-Ready Machine Learning NLP API with FastAPI and spaCy
- KDD-2021, The premier Data Science Conference, Aug 14-18, Virtual - Apr 27, 2021.
KDD 2021, the Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) flagship conference, will take place virtually Aug 14-18.
- Why You Should Consider Being a Data Engineer Instead of a Data Scientist - Apr 27, 2021.
A new king of the jungle has emerged.
- Data science is not about data – applying Dijkstra principle to data science - Apr 26, 2021.
What is Data Science really about? Is it the data, or the algorithms, or something else? Similar foundational philosophical struggles exist with other scientific fields, including computer science, and maybe we can look to these resolutions to better understand the true 'meaning' of data science.
- Data careers are NOT one-size fits all! Tips for uncovering your ideal role in the data space - Apr 23, 2021.
Thriving as a data professional is about more than just making good money! It’s about FULFILLMENT & IMPACT. In this article, I will help you discover the BEST data role for you given your unique skill sets, personality & goals.
- Data Science Books You Should Start Reading in 2021 - Apr 23, 2021.
Check out this curated list of the best data science books for any level.
- How to ace A/B Testing Data Science Interviews - Apr 22, 2021.
Understanding the process of A/B testing and knowing how to discuss this approach during data science job interviews can give you a leg up over other candidates. This mock interview provides a step-by-step guide through how to demonstrate your mastery of the key concepts and logical considerations.
- Top 10 Must-Know Machine Learning Algorithms for Data Scientists – Part 1 - Apr 22, 2021.
New to data science? Interested in the must-know machine learning algorithms in the field? Check out the first part of our list and introductory descriptions of the top 10 algorithms for data scientists to know.
- Knowledge Graph Conference, covering tools, techniques, case studies and more, by experts. May 3-6, Virtual - Apr 19, 2021.
"A force to be reckoned with" - the who’s who of knowledge graphs will convene at The Knowledge Graph Conference in May.
- How to organize your data science project in 2021 - Apr 19, 2021.
Maintaining proper organization of all your data science projects will increase your productivity, minimize errors, and increase your development efficiency. This tutorial will guide you through a framework on how to keep everything in order on your local machine and in the cloud.
- Essential Math for Data Science: Linear Transformation with Matrices - Apr 16, 2021.
You’ll start seeing matrices, not only as operations on numbers, but also as a way to transform vector spaces. This conception will give you the foundations needed to understand more complex linear algebra concepts like matrix decomposition.
- Top 3 Statistical Paradoxes in Data Science - Apr 15, 2021.
Observation bias and sub-group differences generate statistical paradoxes.
- Models of Data Science teams: Chess vs Checkers - Apr 14, 2021.
Should we still consider data scientists and data engineers as separate roles? When should a team grow with full-stack data developers? Introducing the Checkers-like data team.
- Why Automated Feature Selection Has Its Risks - Apr 13, 2021.
Theoretical relevance of features must not be ignored.
- Can Robots and Humans Combat Extinction Together? Find Out April 17 - Apr 8, 2021.
Get ready to trade that “Zoom fatigue” for Zoom euphoria at the DataYap Virtual Conference, Apr 17, where you’ll have your pick of 15 panels on some of the hottest topics in the data and technology space led by some of the top names in data science.
- A/B Testing: 7 Common Questions and Answers in Data Science Interviews, Part 2 - Apr 8, 2021.
In this second article in this series, we’ll continue to take an interview-driven approach by linking some of the most commonly asked interview questions to different components of A/B testing, including selecting ideas for testing, designing A/B tests, evaluating test results, and making ship or no ship decisions.
- How to Make Sure Your Analysis Actually Gets Used - Apr 7, 2021.
Few things are as demoralizing as seeing your data analysis tossed aside. Learn from these tips -- assembled from experience, academic research, and industry best practice -- on how to make sure your hard work receives the credit it deserves and delivers the value to your organization that you expect.
- KDnuggets™ News 21:n13, Apr 7: Top 10 Python Libraries Data Scientists should know in 2021; KDnuggets Top Blogs Reward Program; Making Machine Learning Models Understandable - Apr 7, 2021.
Top 10 Python Libraries Data Scientists should know in 2021; KDnuggets Top Blogs Reward Program; Shapash: Making Machine Learning Models Understandable; Easy AutoML in Python; The 8 Most Common Data Scientists; A/B Testing: 7 Common Questions and Answers in Data Science Interviews, Part 1
- Awesome Tricks And Best Practices From Kaggle - Apr 5, 2021.
Easily learn what is only learned by hours of search and exploration.
- What did COVID do to all our models? - Apr 2, 2021.
An interview with Dean Abbott and John Elder about change management, complexity, interpretability, and the risk of AI taking over humanity.
- What’s ETL? - Apr 2, 2021.
Discover what ETL is, and see in what ways it’s critical for data science.
- A/B Testing: 7 Common Questions and Answers in Data Science Interviews, Part 1 - Apr 1, 2021.
In this article, we’ll take an interview-driven approach by linking some of the most commonly asked interview questions to different components of A/B testing, including selecting ideas for testing, designing A/B tests, evaluating test results, and making ship or no ship decisions.
- Data vault: new weaponry in your data science toolkit - Mar 31, 2021.
Data Vault is a modern data modelling approach for capturing (historical) data in a structurally auditable and tractable way. While very helpful for data engineers, the Data Vault also enables Data Science in practice.