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KDnuggets News: 2022 News | Schedule | Archive
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KDnuggets News: 2022 News | Schedule | Archive
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- The Best Python Courses: An Analysis Summary, by Brendan Martin [Tuto] - Jan 24, 2022.
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. - 3 Reasons Why Data Scientists Should Use LightGBM, by Matthew Przybyla [Tuto] - Jan 24, 2022.
There are many great boosting Python libraries for data scientists to reap the benefits of. In this article, the author discusses LightGBM benefits and how they are specific to your data science job. - Why Humbling Yourself Will Improve Your Data Science Skills, by Nisha Arya [Opin] - Jan 21, 2022.
Your first job is always going to be frightening. You will feel anxious and nervous to speak your own opinion. I will go through a few points that I believe everybody should incorporate into their work and personal life. - Explain NLP Models with LIME, by Ayan Kundu [Tuto] - Jan 21, 2022.
It is important to know how LIME reaches to its final outputs for explaining a prediction done for text data. In this article, I have shared that concept by enlightening the components of LIME. - How to Grow as a Data Scientist in an Ever-Changing World, by Nahla Davies [Opin] - Jan 21, 2022.
Just like tradespeople need to grow in their skill sets, data scientists must also grow in the ever-changing world we inhabit. With that said, let’s break down how you can evolve your data science skills while progressing your career. - Artificial Intelligence Project Ideas for 2022, by Natassha Selvaraj [Opin] - Jan 20, 2022.
In this article, I will provide you with a list of artificial intelligence project ideas that would look great on your resume. - How to Answer Data Science Coding Interview Questions, by Nate Rosidi [Opin] - Jan 20, 2022.
Use this checklist to make sure your answer to the data science coding interview questions is on the right track. - The High Paying Side Hustles for Data Scientists, by Abid Ali Awan [Tuto] - Jan 20, 2022.
Learn about some unconventional ways to boost your income by freelancing, contracting, copywriting, career counseling, and consultancy. - 6 Data Science Technologies You Need to Build Your Supply Chain Pipeline, by Zulie Rane [Opin] - Jan 19, 2022.
Here are some of the data science technologies needed to build a comprehensive and smooth supply chain pipeline. - Top Programming Languages and Their Uses, by Claire D. Costa [Tuto] - Jan 19, 2022.
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. - KDnuggets™ News 22:n03, Jan 19: A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; Top Five SQL Window Functions You Should Know For Data Science Interviews, by KDnuggets - Jan 19, 2022.
A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; Top Five SQL Window Functions You Should Know For Data Science Interviews; 5 Things to Keep in Mind Before Selecting Your Next Data Science Job; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership; Running Redis on Google Colab - Demystifying Bad Science, by Kevin Gray [Opin] - Jan 18, 2022.
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. - The Best Learning Resources for Data Science in 2022, by Abid Ali Awan [Opin] - Jan 18, 2022.
Unclutter your space and learn about the best books, free tutorials, courses, platforms, and certifications to start your data science journey. - How to Process a DataFrame with Millions of Rows in Seconds, by Roman Orac [Tuto] - Jan 18, 2022.
TLDR; process it with a new Python Data Processing Engine in the Cloud. - KDnuggets Top Blogs Rewards for December 2021, by KDnuggets [Top ] - Jan 17, 2022.
The December blogs that won KDnuggets Rewards include: Write Clean Python Code Using Pipes; Building a solid data team; How to Get Certified as a Data Scientist; 3 Tools to Track and Visualize the Execution of Your Python Code; and more. - Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership, by Eric Siegel, Ph.D. [Opin] - Jan 17, 2022.
In this article, Eric Siegel summarizes the recent KDnuggets poll results and argues that the pervasive failure of ML projects comes from a lack of prudent leadership. He also argues that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail. - Data Scientist vs Data Analyst vs Data Engineer, by Natassha Selvaraj [Opin] - Jan 17, 2022.
In this article, I will describe three of the most promising career options within the data industry — data analytics, data science, and data engineering. - Top Stories, Jan 10-16: Is Data Science a Dying Career?, by KDnuggets [Top ] - Jan 17, 2022.
Also: Top Five SQL Window Functions You Should Know For Data Science Interviews; A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; SQL Interview Questions for Experienced Professionals; Why Do Machine Learning Models Die In Silence? - Data Quality: The Good, The Bad, and The Ugly, by Nisha Arya [Opin] - Jan 17, 2022.
Incorrect or unclean data leads to false conclusions. The time you take to understand and clean the data is vital to the outcome and quality of the results. Data Quality always takes the win against complex fancy algorithms. - Data Science Web nugget Roundup, Jan 14: Kaggle Datasets & Python Debugging, by KDnuggets [Tuto] - Jan 15, 2022.
In our first weekly roundup of data science nuggets from around the web, check out a list of curated articles on Kaggle datasets, Python debugging tools, what it is data scientists do, an overview of YOLO, 2-dimensional PyTorch tensors, and the secrets of machine learning deployment. - Top December Stories: Write Clean Python Code Using Pipes; Building a solid data team, by KDnuggets [Top ] - Jan 15, 2022.
Write Clean Python Code Using Pipes; Building a solid data team; How to Get Certified as a Data Scientist; 3 Tools to Track and Visualize the Execution of Your Python Code. - Running Redis on Google Colab, by Nava Levy [Tuto] - Jan 14, 2022.
Open source Redis is being increasingly used in Machine Learning, but running it on Colab is different compared to on your local machine or with Docker. Read on for a 2-step tutorial on how to do it. - Transfer Learning for Image Recognition and Natural Language Processing, by Nisha Arya [Tuto] - Jan 14, 2022.
Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing. - Top Five SQL Window Functions You Should Know For Data Science Interviews, by Terence Shin [Tuto] - Jan 13, 2022.
Focusing on the important concepts for data scientists. - Query Your Pandas DataFrames with SQL, by Matthew Mayo [Tuto] - Jan 13, 2022.
Learn how to query your Pandas DataFrames using the standard SQL SELECT statement, seamlessly from within your Python code. - A Deep Look Into 13 Data Scientist Roles and Their Responsibilities, by Nate Rosidi [Opin] - Jan 13, 2022.
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. - New Online MS in Business Analytics for Managers from University of Rochester, by University of Rochester [Prod] - Jan 12, 2022.
The new Online MS in Business Analytics for Managers from Simon Business School is the latest advancement in analytically rigorous, leadership-focused education designed to help managers and aspiring managers prepare for the future of business-wherever it may lead. Applications are being accepted now and the first 14-month class will begin August 2022. - A (Much) Better Approach to Evaluate Your Machine Learning Model, by Olivier Blais [Tuto] - Jan 12, 2022.
Using one or two performance metrics seems sufficient to claim that your ML model is good — chances are that it’s not. - Context, Consistency, And Collaboration Are Essential For Data Science Success, by Nahla Davies [Opin] - Jan 12, 2022.
It’s crucial to investigate the reasons why data science teams require context, consistency, and secure collaboration of their data to ensure data science success. Let's quickly examine each of these requirements so that we can better understand what data science success moving forward may look like. - 5 Things to Keep in Mind Before Selecting Your Next Data Science Job, by Matthew Przybyla [Opin] - Jan 12, 2022.
These are some of the most critical questions that I think are important to consider when selecting the next job. - KDnuggets™ News 22:n02, Jan 12: Is Data Science a Dying Career?; Why Do Machine Learning Models Die In Silence?, by KDnuggets - Jan 12, 2022.
Is Data Science a Dying Career?; Why Do Machine Learning Models Die In Silence?; SQL Interview Questions for Experienced Professionals; Deliver a Killer Presentation in Data Science Interviews; What is Transfer Learning? - Interpretable Neural Networks with PyTorch, by Dr. Robert Kübler [Tuto] - Jan 11, 2022.
Learn how to build feedforward neural networks that are interpretable by design using PyTorch. - A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment, by Graham Harrison [Tuto] - Jan 11, 2022.
How to use scikit-learn, pickle, Flask, Microsoft Azure and ipywidgets to fully deploy a Python machine learning algorithm into a live, production environment. - Fake It Till You Make It: Generating Realistic Synthetic Customer Datasets, by Matthew Mayo [Tuto] - Jan 11, 2022.
Finding the data you need is hard. So why not fake it? - Top Stories, Jan 3-9: Why Do Machine Learning Models Die In Silence?, by KDnuggets [Top ] - Jan 10, 2022.
Also: Why are More Developers Using Python for Their Machine Learning Projects?; 3 Tools to Track and Visualize the Execution of Your Python Code; SQL Interview Questions for Experienced Professionals; Deliver a Killer Presentation in Data Science Interviews - Is Data Science a Dying Career?, by Natassha Selvaraj [Opin] - Jan 10, 2022.
At the end of the day, the value a data scientist provides to an organization lies in their ability to apply data to real-world use cases. - The Story of the Women in Data Science (WiDS) Datathon, by Abid Ali Awan [Opin] - Jan 10, 2022.
The author shares their experience of almost winning the competition and the things they have learned from the failures. Learn more about the WiDS Datathon and tips on winning the next challenge. - SQL Interview Questions for Experienced Professionals, by Nate Rosidi [Tuto] - Jan 7, 2022.
This article will show you what SQL concepts you should know as an experienced professional. - Deliver a Killer Presentation in Data Science Interviews, by Emma Ding [Opin] - Jan 7, 2022.
How to present yourself as a strong candidate in interview presentations. 
Automate Microsoft Excel and Word Using Python, by Mohammad Khorasani [Tuto] - Jan 6, 2022.
Integrate Excel with Word to generate automated reports seamlessly.- Misconceptions About Semantic Segmentation Annotation [Opin] - Jan 6, 2022.
Semantic segmentation is a computer vision problem that entails putting related elements of an image into the same class. Read on to discover more, including the difficulties associated with annotation. - What is Transfer Learning?, by Nisha Arya [Tuto] - Jan 5, 2022.
During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target task. Read on for a deeper dive on the subject. - Why Do Machine Learning Models Die In Silence?, by Thuwarakesh Murallie [Tuto] - Jan 5, 2022.
A critical problem for companies when integrating machine learning in their business processes is not knowing why they don't perform well after a while. The reason is called concept drift. Here's an informational guide to understanding the concept well. - 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, by KDnuggets - Jan 5, 2022.
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 - Data Scientists, You’re Invited: Make 2022 a Year of Continuous Improvement, by Domino [Prod] - Jan 4, 2022.
Join renowned surgeon and author, Atul Gawande, and J&J’s Chief Data Science Officer, Najat Khan, for a special event on driving exceptional performance. - Why are More Developers Using Python for Their Machine Learning Projects?, by Nahla Davies [Opin] - Jan 4, 2022.
To support the creation of new and exciting ML and artificial intelligence (AI) applications, developers need a robust programming language. That's where the Python programming language comes in. - Learn Deep Learning by Building 15 Neural Network Projects in 2022, by Param Raval [Tuto] - Jan 4, 2022.
Here are 15 neural network projects you can take on in 2022 to build your skills, your know-how, and your portfolio. - Top Stories, Dec 20 – Jan 2: 3 Tools to Track and Visualize the Execution of Your Python Code, by KDnuggets [Top ] - Jan 3, 2022.
Also: 6 Predictive Models Every Beginner Data Scientist Should Master; The Best ETL Tools in 2021; Write Clean Python Code Using Pipes; Three R Libraries Every Data Scientist Should Know (Even if You Use Python) 
How I Tripled My Income With Data Science in 18 Months, by Natassha Selvaraj [Tuto] - Jan 3, 2022.
Over a year ago, I lost my job due to the COVID-19 pandemic. During this this, I taught myself data science and tripled my income.- Hands-on Reinforcement Learning Course Part 3: SARSA, by Pau Labarta Bajo [Tuto] - Jan 3, 2022.
This is part 3 of my hands-on course on reinforcement learning, which takes you from zero to HERO . Today we will learn about SARSA, a powerful RL algorithm. 
What Makes Python An Ideal Programming Language For Startups, by Nikita Bajaj [Opin] - Dec 31, 2021.
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.
3 Tools to Track and Visualize the Execution of Your Python Code, by Khuyen Tran [Tuto] - Dec 30, 2021.
Avoid headaches when debugging in one line of code.- 11 Best Companies to Work for as a Data Scientist, by Zulie Rane [Opin] - Dec 30, 2021.
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. - 4 Reasons Why You Shouldn’t Use Machine Learning, by Terence Shin [Opin] - Dec 29, 2021.
It's time to learn: machine learning is not a Swiss Army knife. - How AI/ML Technology Integration Will Help Business in Achieving Goals in 2022, by Sudeep Srivastava [Opin] - Dec 29, 2021.
AI/ML systems have a wide range of applications in a variety of industries and sectors, and this article highlights the top ways AI/ML will impact your small business in 2022. - Hands-On Reinforcement Learning Course, Part 2, by Pau Labarta Bajo [Tuto] - Dec 28, 2021.
Continue your learning journey in Reinforcement Learning with this second of two part tutorial that covers the foundations of the technique with examples and Python code. - The Easiest Way to Make Beautiful Interactive Visualizations With Pandas, by Frank Andrade [Tuto] - Dec 28, 2021.
Check out these one-liner interactive visualization with Pandas in Python. - Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model, by Ajay Arunachalam [Tuto] - Dec 27, 2021.
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? - Versioning Machine Learning Experiments vs Tracking Them, by Maria Khalusova [Tuto] - Dec 27, 2021.
Learn how to improve ML reproducibility by treating experiments as code. - Tips & Tricks of Deploying Deep Learning Webapp on Heroku Cloud, by Abid Ali Awan [Tuto] - Dec 24, 2021.
Learn model deployment issues and solutions on deploying a TensorFlow-based image classifier Streamlit app on a Heroku server. - Alternative Feature Selection Methods in Machine Learning, by Soledad Galli, PhD [Tuto] - Dec 24, 2021.
Feature selection methodologies go beyond filter, wrapper and embedded methods. In this article, I describe 3 alternative algorithms to select predictive features based on a feature importance score. - Cutting Down Implementation Time by Integrating Jupyter and KNIME, by Mahantesh Pattadkal [Tuto] - Dec 23, 2021.
Are you a KNIME fan or a Jupyter fan? Well, here you don’t have to choose. - AI and climate change have a complicated relationship, by Lewis Lovejoy [Opin] - Dec 23, 2021.
Learn about the importance of environmental AI and its carbon impact in this comprehensive review. - 6 Predictive Models Every Beginner Data Scientist Should Master, by Ivo Bernardo [Tuto] - Dec 23, 2021.
Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely used in the industry, either in standalone form or as a building block for other advanced techniques. - Hands-On Reinforcement Learning Course, Part 1, by Pau Labarta Bajo [Tuto] - Dec 22, 2021.
Start your learning journey in Reinforcement Learning with this first of two part tutorial that covers the foundations of the technique with examples and Python code. - Machine learning does not produce value for my business. Why?, by Necati Demir [Opin] - Dec 22, 2021.
What is going on when machine learning can't make the jump from testing to production, and so doesn't add any business value? - KDnuggets™ News 21:n48, Dec 22: Write Clean Python Code Using Pipes; 5 Key Skills Needed To Become a Great Data Scientist, by KDnuggets - Dec 22, 2021.
Write Clean Python Code Using Pipes; 5 Key Skills Needed To Become a Great Data Scientist; A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment; The 5 Characteristics of a Successful Data Scientist; Top Resources for Learning Statistics for Data Science - The Best ETL Tools in 2021, by Mozart Data [Prod] - Dec 21, 2021.
If you have clear, well-defined objectives, it won’t be hard to identify the ETL technology that best meets your needs. Here are some of the best ETL tools you can use in your business. - Federated Learning: Collaborative Machine Learning with a Tutorial on How to Get Started, by Kevin Vu [Tuto] - Dec 21, 2021.
Read on to learn more about the intricacies of federated learning and what it can do for machine learning on sensitive data. - Why we will always need humans to train AI — sometimes in real-time, by Shoma Kimura [Opin] - Dec 21, 2021.
Customizable, real-time data labeling pipelines that can continuously receive and process unlabeled data are necessary to train and perfect the AI that impacts our lives and daily conveniences. - The Chatbot Transformation: From Failure to the Future, by Lubo Smid [Opin] - Dec 21, 2021.
The all-knowing chatbots we once thought to be the future have been replaced by specialized bots, and the results are outstanding. - A Faster Way to Prepare Time-Series Data with the AI & Analytics Engine, by PI.EXCHANGE [Prod] - Dec 20, 2021.
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. - Three R Libraries Every Data Scientist Should Know (Even if You Use Python), by Terence Shin [Tuto] - Dec 20, 2021.
Check out these powerful R libraries built by the world’s biggest tech companies. - Top Stories, Dec 13-19: Write Clean Python Code Using Pipes, by KDnuggets [Top ] - Dec 20, 2021.
Also: 5 Key Skills Needed To Become a Great Data Scientist; A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment; The 5 Characteristics of a Successful Data Scientist; Top Resources for Learning Statistics for Data Science - How to Get Into Data Analytics If You Don’t Have the Right Degree, by Zulie Rane [Tuto] - Dec 20, 2021.
So, is a career in data analytics a good fit for you? - How to Speed Up XGBoost Model Training, by Michael Galarnyk [Tuto] - Dec 20, 2021.
XGBoost is an open-source implementation of gradient boosting designed for speed and performance. However, even XGBoost training can sometimes be slow. This article will review the advantages and disadvantages of each approach as well as go over how to get started. - The 5 Characteristics of a Successful Data Scientist, by Matthew Mayo [Opin] - Dec 17, 2021.
I've put some thought into this, and come up with the 5 characteristics of a what I believe define a successful data scientist. Do you agree? - 10 Key AI & Data Analytics Trends for 2022 and Beyond, by David Pool [Opin] - Dec 17, 2021.
What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization. - 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, by Gregory Piatetsky [Top ] - Dec 16, 2021.
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. - Top Resources for Learning Statistics for Data Science, by Springboard [Prod] - Dec 16, 2021.
Let’s take a look at the current state of statistics in data science, and what you can do to accelerate your learning. - Cloud ML In Perspective: Surprises of 2021, Projections for 2022, by George Vyshnya [Tuto] - Dec 16, 2021.
Let’s take a closer look on Cloud ML market in 2021 in retrospective (with occasional drills into realities of 2020, too). Read this in-depth analysis. - How I 14Xed my salary in 14 years as a data analytics/science professional, by Leon Wei [Opin] - Dec 16, 2021.
Learn how one data scientist increased their full-time job salary 14 times in 14 years of a career, with highlights on experiencing an IPO, RSUs, start-ups and working at FAANG companies. - 5 Key Skills Needed To Become a Great Data Scientist, by Sharan Kumar Ravindran [Opin] - Dec 15, 2021.
Based on 10 years of my experience (learn to build those skills). 
Write Clean Python Code Using Pipes, by Khuyen Tran [Tuto] - Dec 15, 2021.
A short and clean approach to processing iterables.- KDnuggets™ News 21:n47, Dec 15: Building a solid data team; Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science; AI, Analytics, Machine Learning, Data Science Main Developments in 2021 and Key Trends for 2022, by KDnuggets - Dec 15, 2021.
In this issue: Building a solid data team; Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science; AI, Analytics, Machine Learning, Data Science, Deep Learning Main Developments in 2021 and Key Trends for 2022 - Research, Technology, and Industry perspectives. - Top November Stories: Why Machine Learning Engineers are Replacing Data Scientists; 19 Data Science Project Ideas for Beginners, by KDnuggets [Top ] - Dec 14, 2021.
Also: Data Scientist Career Path from Novice to First Job; Design Patterns for Machine Learning Pipelines - Software Mistakes and Tradeoffs: New book by Tomasz Lelek and StackOverflow guru Jon Skeet, by Manning [Prod] - Dec 14, 2021.
Flexibility versus maintainability—every decision you make in software engineering involves balancing tradeoffs. Software Mistakes and Tradeoffs is available in early access from its publisher Manning. Pre-order now and start reading immediately as part of the Manning Early Access Program (MEAP). - Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022, by Matthew Mayo [Opin] - Dec 14, 2021.
We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here. - 12 Tips: From Data Analyst to Startup Co-Founder, by Roman Zykov [Opin] - Dec 14, 2021.
Thinking about taking your data science expertise to a new level of creating a start-up company? These tips -- learned from experience -- can help you forge an early path toward success. - Feature Selection: Where Science Meets Art, by Mahbubul Alam [Tuto] - Dec 14, 2021.
From heuristic to algorithmic feature selection techniques for data science projects.
