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Found 13134 documents, 12864 searched:

• An Overview of Logistic Regression

  Logistic regression is an extension of linear regression to solve classification problems. Read more on the specifics of this algorithm here.

  https://www.kdnuggets.com/2022/02/overview-logistic-regression.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

• Artificial Intelligence and the Metaverse

  For those of you who don’t know, Artificial intelligence (AI) is the ability of a computer or a computer-controlled robot to perform tasks that are usually done by humans as they require human intelligence. Metaverse’s AI research and usage include content analysis, supervised speech processing, computer vision, and much more. 

  https://www.kdnuggets.com/2022/02/artificial-intelligence-metaverse.html

• Data Warehousing with Snowflake for Beginners

  This tutorial provides only a brief synopsis of the data warehouse in Snowflake, which we will go through in more detail.

  https://www.kdnuggets.com/2022/02/data-warehousing-snowflake-beginners.html

• Classifying Long Text Documents Using BERT

  Transformer based language models such as BERT are really good at understanding the semantic context because they were designed specifically for that purpose. BERT outperforms all NLP baselines, but as we say in the scientific community, “no free lunch”. How can we use BERT to classify long text documents?

  https://www.kdnuggets.com/2022/02/classifying-long-text-documents-bert.html

• Free 4 Week Data Science Course on AI Quality Management

  Are you interested in learning more about how to analyze and improve the performance and trustworthiness of your machine learning models? Then this 4-week, live online course is for you.

  https://www.kdnuggets.com/2022/02/truera-free-4-week-data-science-course-ai-quality-management.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

• Baidu Research Unveils Top 10 Tech Trends Forecast for 2022

  These are Baidu's top 10 tech trends for 2022, which center on three key pillars: AI core technologies, interdisciplinary & cross-domain research, and industrial & social values.

  https://www.kdnuggets.com/2022/02/baidu-research-unveils-top-10-tech-trends-forecast-2022.html

• KDnuggets™ News 22:n05, Feb 2: 7 Steps to Mastering Machine Learning with Python in 2022; Unable to Land a Data Science Job? Here’s Why

  7 Steps to Mastering Machine Learning with Python in 2022; Unable to Land a Data Science Job? Here’s Why; R vs Python (Again): A Human Factor Perspective; How To Design Your Data Science Portfolio; Experience the best of both Windows and Ubuntu

  https://www.kdnuggets.com/2022/n05.html

• How to Write SQL in Native Python

  If the idea of being able to link with SQL databases and define, manipulate, and query using Python sounds appealing, check out the SQLModel library.

  https://www.kdnuggets.com/2022/02/easy-sql-native-python.html

• How to Build Your Career in Data Science

  If you’re a Data Scientist and you’re setting your 2022 goals to improve and build your career, you’ve landed on the right page.

  https://www.kdnuggets.com/2022/02/build-career-data-science.html

• Top Posts Jan 24-30: The High Paying Side Hustles for Data Scientists

  Also: Top Programming Languages and Their Uses; The Best Python Courses: An Analysis Summary; Is Data Science a Dying Career?; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership

  https://www.kdnuggets.com/2022/02/top-news-week-0124-0130.html

• 7 Steps to Mastering Machine Learning with Python in 2022

  Are you trying to teach yourself machine learning from scratch, but aren’t sure where to start? I will attempt to condense all the resources I’ve used over the years into 7 steps that you can follow to teach yourself machine learning.

  https://www.kdnuggets.com/2022/02/7-steps-mastering-machine-learning-python.html

• Effective Testing for Machine Learning

  Given how uncertain ML projects are, this is an incremental strategy that you can adopt as your project matures; it includes test examples to provide a clear idea of how these tests look in practice, and a complete project implementation is available on GitHub. By the end of the post, you’ll be able to develop more robust ML pipelines.

  https://www.kdnuggets.com/2022/01/effective-testing-machine-learning.html

• How to Successfully Deploy Data Science Projects

  This guide will provide detailed insight into the steps you can take to successfully manage your data science projects.

  https://www.kdnuggets.com/2022/01/successfully-deploy-data-science-projects.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

• Data Science Web nugget Roundup, Jan 29: Calculating Derivatives in PyTorch; Hacking Wordle

  In this week's data science web nugget roundup, see articles from around the web on using PyTorch to calculate derivatives, using data science to find the best start words for Wordle, why math poses a problem for data science newbies, using breakpoints for debugging in Python, and software engineering skills that data scientists.

  https://www.kdnuggets.com/2022/01/weekly-web-nugget-roundup-0129.html

• Fine-Tuning BERT for Tweets Classification with HuggingFace

  In this blog, we used the Hugging Face library to fine-tune BERT on the classification task. We classified tweets related to COVID.

  https://www.kdnuggets.com/2022/01/finetuning-bert-tweets-classification-ft-hugging-face.html

• Celebrating Awareness of the Importance of Data Privacy

  January 28 is Data Privacy Day, bringing awareness of the basic foundation and principles of data protection. Read about the day itself, why data privacy is important, and best practices you can adhere to in order to help ensure the privacy of your data.

  https://www.kdnuggets.com/2022/01/celebrating-awareness-importance-data-privacy.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

• Understanding Iterables vs Iterators in Python

  Though often confused with one another, Iterables and Iterators are two distinct concepts. This article will explain the difference between the two, and how they are used.

  https://www.kdnuggets.com/2022/01/understanding-iterables-iterators-python.html

• R vs Python (Again): A Human Factor Perspective

  This post is tentative to explain by "human factor" - a typical Python vs. R user, the widespread opinion that Python is better suited than R for developing production-quality code.

  https://www.kdnuggets.com/2022/01/r-python-human-factor-perspective.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

• Unstructured Data: The Must-Have For Analytics In 2022

  Let's investigate the current need that enterprise organizations have to rapidly parse through unstructured data and examine several data management trends that are highly relevant in 2022.

  https://www.kdnuggets.com/2022/01/unstructured-data-analytics-2022.html

• Getting Started Cleaning Data

  In order to achieve quality data, there is a process that needs to happen. That process is data cleaning. Learn more about the various stages of this process.

  https://www.kdnuggets.com/2022/01/getting-started-cleaning-data.html

• KDnuggets™ News 22:n04, Jan 26: The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses

  The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses; Artificial Intelligence Project Ideas for 2022; The Best Python Courses: An Analysis Summary; Top Stories, Jan 17-23: The High Paying Side Hustles for Data Scientists

  https://www.kdnuggets.com/2022/n04.html

• Top Posts Jan 17-23: The High Paying Side Hustles for Data Scientists

  Also: Is Data Science a Dying Career?; Top Programming Languages and Their Uses; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership; How to Process a DataFrame with Millions of Rows in Seconds

  https://www.kdnuggets.com/2022/01/top-news-week-0117-0123.html

• Deep Learning with Python: Second Edition by François Chollet

  Now in print! New edition of the bestselling original by François Chollet.

  https://www.kdnuggets.com/2022/01/manning-deep-learning-python-second-edition-francois-chollet.html

• TensorFlow for Computer Vision – Transfer Learning Made Easy

  In this article, see how you can get above 90% accuracy on the validation set with a pretty straightforward approach. You'll also see what happens to the validation accuracy if we scale down the amount of training data by a factor of 20. Spoiler alert - it will remain unchanged.

  https://www.kdnuggets.com/2022/01/tensorflow-computer-vision-transfer-learning-made-easy.html

• Learn Machine Learning 4X Faster by Participating in Competitions

  Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.

  https://www.kdnuggets.com/2022/01/learn-machine-learning-4x-faster-participating-competitions.html

• How to Set Up Your Data Science Stack on a Budget

  Whether you’re working independently or setting up a stack for a company, you need an affordable stack option. Here’s how you can set up your stack without spending too much.

  https://www.kdnuggets.com/2022/01/data-science-stack-budget.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

• 3 Reasons Why Data Scientists Should Use LightGBM

  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.

  https://www.kdnuggets.com/2022/01/data-scientists-reasons-lightgbm.html

• Why Humbling Yourself Will Improve Your Data Science Skills

  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.

  https://www.kdnuggets.com/2022/01/humbling-improve-data-science-skills.html

• Explain NLP Models with LIME

  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.

  https://www.kdnuggets.com/2022/01/explain-nlp-models-lime.html

• How to Grow as a Data Scientist in an Ever-Changing World

  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.

  https://www.kdnuggets.com/2022/01/grow-data-scientist-everchanging-world.html

• Artificial Intelligence Project Ideas for 2022

  In this article, I will provide you with a list of artificial intelligence project ideas that would look great on your resume. 

  https://www.kdnuggets.com/2022/01/artificial-intelligence-project-ideas-2022.html

• How to Answer Data Science Coding Interview Questions

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

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

• The High Paying Side Hustles for Data Scientists

  Learn about some unconventional ways to boost your income by freelancing, contracting, copywriting, career counseling, and consultancy.

  https://www.kdnuggets.com/2022/01/high-paying-side-hustles-data-scientists.html

• 6 Data Science Technologies You Need to Build Your Supply Chain Pipeline

  Here are some of the data science technologies needed to build a comprehensive and smooth supply chain pipeline.

  https://www.kdnuggets.com/2022/01/6-data-science-technologies-need-build-supply-chain-pipeline.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

• 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

  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

  https://www.kdnuggets.com/2022/n03.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

• How to Process a DataFrame with Millions of Rows in Seconds

  TLDR; process it with a new Python Data Processing Engine in the Cloud.

  https://www.kdnuggets.com/2022/01/process-dataframe-millions-rows-seconds.html

• KDnuggets Top Blogs Rewards for December 2021

  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.

  https://www.kdnuggets.com/2022/01/top-blogs-rewards-dec.html

• Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership

  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.

  https://www.kdnuggets.com/2022/01/models-rarely-deployed-industrywide-failure-machine-learning-leadership.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

• Top Posts Jan 10-16: Is Data Science a Dying Career?

  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?

  https://www.kdnuggets.com/2022/01/top-news-week-0110-0116.html

• Data Quality: The Good, The Bad, and The Ugly

  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.

  https://www.kdnuggets.com/2022/01/data-quality-good-bad-ugly.html

• Data Science Web nugget Roundup, Jan 14: Kaggle Datasets & Python Debugging

  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.

  https://www.kdnuggets.com/2022/01/weekly-web-nugget-roundup-0114.html

• Top December Stories: Write Clean Python Code Using Pipes; Building a solid data team

  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.

  https://www.kdnuggets.com/2022/01/top-stories-2021-dec.html

• Running Redis on Google Colab

  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.

  https://www.kdnuggets.com/2022/01/running-redis-google-colab.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

• Top Five SQL Window Functions You Should Know For Data Science Interviews

  Focusing on the important concepts for data scientists.

  https://www.kdnuggets.com/2022/01/top-five-sql-window-functions-know-data-science-interviews.html

• Query Your Pandas DataFrames with SQL

  Learn how to query your Pandas DataFrames using the standard SQL SELECT statement, seamlessly from within your Python code.

  https://www.kdnuggets.com/2021/10/query-pandas-dataframes-sql.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

• New Online MS in Business Analytics for Managers from University of Rochester

  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.

  https://www.kdnuggets.com/2022/01/urochester-online-ms-business-analytics-managers.html

• A (Much) Better Approach to Evaluate Your Machine Learning Model

  Using one or two performance metrics seems sufficient to claim that your ML model is good — chances are that it’s not.

  https://www.kdnuggets.com/2022/01/much-better-approach-evaluate-machine-learning-model.html

• Context, Consistency, And Collaboration Are Essential For Data Science Success

  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.

  https://www.kdnuggets.com/2022/01/context-consistency-collaboration-essential-data-science-success.html

• 5 Things to Keep in Mind Before Selecting Your Next Data Science Job

  These are some of the most critical questions that I think are important to consider when selecting the next job.

  https://www.kdnuggets.com/2022/01/5-things-keep-mind-selecting-next-job.html

• KDnuggets™ News 22:n02, Jan 12: Is Data Science a Dying Career?; Why Do Machine Learning Models Die In Silence?

  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?

  https://www.kdnuggets.com/2022/n02.html

• Interpretable Neural Networks with PyTorch

  Learn how to build feedforward neural networks that are interpretable by design using PyTorch.

  https://www.kdnuggets.com/2022/01/interpretable-neural-networks-pytorch.html

• A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment

  How to use scikit-learn, pickle, Flask, Microsoft Azure and ipywidgets to fully deploy a Python machine learning algorithm into a live, production environment.

  https://www.kdnuggets.com/2021/12/deployment-machine-learning-algorithm-live-production-environment.html

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

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

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

• Top Posts Jan 3-9: Why Do Machine Learning Models Die In Silence?

  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

  https://www.kdnuggets.com/2022/01/top-news-week-0103-0109.html

• Is Data Science a Dying Career?

  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.

  https://www.kdnuggets.com/2022/01/data-science-dying-career.html

• The Story of the Women in Data Science (WiDS) Datathon

  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.

  https://www.kdnuggets.com/2022/01/story-women-data-science-wids-datathon.html

• SQL Interview Questions for Experienced Professionals

  This article will show you what SQL concepts you should know as an experienced professional.

  https://www.kdnuggets.com/2022/01/sql-interview-questions-experienced-professionals.html

• Deliver a Killer Presentation in Data Science Interviews

  How to present yourself as a strong candidate in interview presentations.

  https://www.kdnuggets.com/2022/01/deliver-killer-presentation-data-science-interviews.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

• Misconceptions About Semantic Segmentation Annotation

  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.

  https://www.kdnuggets.com/2022/01/misconceptions-semantic-segmentation-annotation.html

• What is Transfer Learning?

  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.

  https://www.kdnuggets.com/2022/01/transfer-learning.html

• Why Do Machine Learning Models Die In Silence?

  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.

  https://www.kdnuggets.com/2022/01/machine-learning-models-die-silence.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

• Data Scientists, You’re Invited: Make 2022 a Year of Continuous Improvement

  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.

  https://www.kdnuggets.com/2022/01/domino-data-scientists-invited-make-2022-year-continuous-improvement.html

• Why are More Developers Using Python for Their Machine Learning Projects?

  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.

  https://www.kdnuggets.com/2022/01/developers-python-machine-learning-projects.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

• Top Posts Dec 20 – Jan 2: 3 Tools to Track and Visualize the Execution of Your Python Code

  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)

  https://www.kdnuggets.com/2022/01/top-news-week-1220-0102.html

• How I Tripled My Income With Data Science in 18 Months

  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.

  https://www.kdnuggets.com/2021/10/tripled-my-income-data-science-18-months.html

• Hands-on Reinforcement Learning Course Part 3: SARSA

  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.

  https://www.kdnuggets.com/2022/01/handson-reinforcement-learning-course-part-3-sarsa.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

• 3 Tools to Track and Visualize the Execution of Your Python Code">3 Tools to Track and Visualize the Execution of Your Python Code

  Avoid headaches when debugging in one line of code.

  https://www.kdnuggets.com/2021/12/3-tools-track-visualize-execution-python-code.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

• 4 Reasons Why You Shouldn’t Use Machine Learning

  It's time to learn: machine learning is not a Swiss Army knife.

  https://www.kdnuggets.com/2021/12/4-reasons-shouldnt-machine-learning.html

• How AI/ML Technology Integration Will Help Business in Achieving Goals in 2022

  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.

  https://www.kdnuggets.com/2021/12/aiml-technology-integration-help-business-achieving-goals-2022.html

• Hands-On Reinforcement Learning Course, Part 2

  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.

  https://www.kdnuggets.com/2021/12/hands-on-reinforcement-learning-part-2.html

• The Easiest Way to Make Beautiful Interactive Visualizations With Pandas

  Check out these one-liner interactive visualization with Pandas in Python.

  https://www.kdnuggets.com/2021/12/easiest-way-make-beautiful-interactive-visualizations-pandas.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

• Tips & Tricks of Deploying Deep Learning Webapp on Heroku Cloud

  Learn model deployment issues and solutions on deploying a TensorFlow-based image classifier Streamlit app on a Heroku server.

  https://www.kdnuggets.com/2021/12/tips-tricks-deploying-dl-webapps-heroku.html

• Alternative Feature Selection Methods in Machine Learning

  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.

  https://www.kdnuggets.com/2021/12/alternative-feature-selection-methods-machine-learning.html

• Cutting Down Implementation Time by Integrating Jupyter and KNIME

  Are you a KNIME fan or a Jupyter fan? Well, here you don’t have to choose.

  https://www.kdnuggets.com/2021/12/cutting-implementation-time-integrating-jupyter-knime.html

• AI and climate change have a complicated relationship

  Learn about the importance of environmental AI and its carbon impact in this comprehensive review.

  https://www.kdnuggets.com/2021/12/ai-climate-change-is-complicated.html

• 6 Predictive Models Every Beginner Data Scientist Should Master">6 Predictive Models Every Beginner Data Scientist Should Master

  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.

  https://www.kdnuggets.com/2021/12/6-predictive-models-every-beginner-data-scientist-master.html

• Hands-On Reinforcement Learning Course, Part 1

  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.

  https://www.kdnuggets.com/2021/12/hands-on-reinforcement-learning-course-part-1.html

• Machine learning does not produce value for my business. Why?

  What is going on when machine learning can't make the jump from testing to production, and so doesn't add any business value?

  https://www.kdnuggets.com/2021/12/machine-learning-produce-value-business.html

• KDnuggets™ News 21:n48, Dec 22: Write Clean Python Code Using Pipes; 5 Key Skills Needed To Become a Great Data Scientist

  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

  https://www.kdnuggets.com/2021/n48.html

• The Best ETL Tools in 2021">The Best ETL Tools in 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.

  https://www.kdnuggets.com/2021/12/mozart-best-etl-tools-2021.html

• Federated Learning: Collaborative Machine Learning with a Tutorial on How to Get Started

  Read on to learn more about the intricacies of federated learning and what it can do for machine learning on sensitive data.

  https://www.kdnuggets.com/2021/12/federated-learning-collaborative-machine-learning-tutorial-get-started.html

• Why we will always need humans to train AI — sometimes in real-time

  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.

  https://www.kdnuggets.com/2021/12/why-we-need-humans-training-ai.html

• The Chatbot Transformation: From Failure to the Future

  The all-knowing chatbots we once thought to be the future have been replaced by specialized bots, and the results are outstanding.

  https://www.kdnuggets.com/2021/12/chatbot-transformation-failure-future.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

• Top Stories, Dec 13-19: Write Clean Python Code Using Pipes

  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

  https://www.kdnuggets.com/2021/12/top-news-week-1213-1219.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

• How to Speed Up XGBoost Model Training

  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.

  https://www.kdnuggets.com/2021/12/speed-xgboost-model-training.html

• The 5 Characteristics of a Successful Data Scientist">The 5 Characteristics of a Successful Data Scientist

  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?

  https://www.kdnuggets.com/2021/12/5-characteristics-successful-data-scientist.html

• 10 Key AI & Data Analytics Trends for 2022 and Beyond

  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.

  https://www.kdnuggets.com/2021/12/10-key-ai-trends-for-2022.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

• Top Resources for Learning Statistics for Data Science">Top Resources for Learning Statistics for Data Science

  Let’s take a look at the current state of statistics in data science, and what you can do to accelerate your learning.

  https://www.kdnuggets.com/2021/12/springboard-top-resources-learn-data-science-statistics.html

• Cloud ML In Perspective: Surprises of 2021, Projections for 2022

  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.

  https://www.kdnuggets.com/2021/12/cloud-ml-perspective-surprises-2021-projections-2022.html

• How I 14Xed my salary in 14 years as a data analytics/science professional

  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.

  https://www.kdnuggets.com/2021/12/14x-salary-in-14-years-data-professional.html

• 5 Key Skills Needed To Become a Great Data Scientist">5 Key Skills Needed To Become a Great Data Scientist

  Based on 10 years of my experience (learn to build those skills).

  https://www.kdnuggets.com/2021/12/5-key-skills-needed-become-great-data-scientist.html

• Write Clean Python Code Using Pipes">Write Clean Python Code Using Pipes

  A short and clean approach to processing iterables.

  https://www.kdnuggets.com/2021/12/write-clean-python-code-pipes.html

• 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

  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.

  https://www.kdnuggets.com/2021/n47.html

• Top November Stories: Why Machine Learning Engineers are Replacing Data Scientists; 19 Data Science Project Ideas for Beginners

  Also: Data Scientist Career Path from Novice to First Job; Design Patterns for Machine Learning Pipelines

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

• Software Mistakes and Tradeoffs: New book by Tomasz Lelek and StackOverflow guru Jon Skeet

  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).

  https://www.kdnuggets.com/2021/12/manning-software-mistakes-tradeoffs-book.html

• Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022

  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.

  https://www.kdnuggets.com/2021/12/developments-predictions-data-science-analytics-industry.html

• 12 Tips: From Data Analyst to Startup Co-Founder

  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.

  https://www.kdnuggets.com/2021/12/12-tips-data-analyst-to-co-founder.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

• What Is AI Model Governance?

  How exactly does AI model governance help tackle these issues? And how can you ensure you’re using it to best fit your needs? Read on.

  https://www.kdnuggets.com/2021/12/ai-model-governance.html

• Top Stories, Dec 6-12: Building a solid data team

  Also: 5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022; How to Get Certified as a Data Scientist; A $9B AI Failure, Examined; AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2021 and Key Trends for 2022

  https://www.kdnuggets.com/2021/12/top-news-week-1206-1212.html

• Data Labeling for Machine Learning: Market Overview, Approaches, and Tools

  So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever. Here, we highlight many of the top players in this industry and the techniques they use to help you consider which might make a good partner for your needs.

  https://www.kdnuggets.com/2021/12/data-labeling-ml-overview-and-tools.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

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  https://www.kdnuggets.com/test

• Introduction to Clustering in Python with PyCaret

  A step-by-step, beginner-friendly tutorial for unsupervised clustering tasks in Python using PyCaret.

  https://www.kdnuggets.com/2021/12/introduction-clustering-python-pycaret.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

• Main 2021 Developments and Key 2022 Trends in AI, Data Science, Machine Learning Technology

  Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

  https://www.kdnuggets.com/2021/12/trends-ai-data-science-ml-technology.html

• Inside DeepMind’s New Efforts to Use Deep Learning to Advance Mathematics

  Using deep learning techniques can help mathematicians develop intuitions about the toughest problems in the field.

  https://www.kdnuggets.com/2021/12/inside-deepmind-new-efforts-deep-learning-advance-mathematics.html