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• What certification are you adding to your toolkit in 2022?

  Learn more about the popular certifications that will validate your data and analytics skills.

  https://www.kdnuggets.com/2022/03/sas-certification-adding-toolkit-2022.html

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

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

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

• Data Science: Reality vs Expectations

  In the majority of companies, the executives in charge of data science and the decision-making process using data science, have little or no education or understanding in actual data science. Where does this leave you, the data scientist?

  https://www.kdnuggets.com/2022/03/data-science-reality-expectations.html

• Building a Tractable, Feature Engineering Pipeline for Multivariate Time Series

  A time series feature engineering pipeline requires different transformations such as imputation and window aggregation, which follows a sequence of stages. This article demonstrates the building of a pipeline to derive multivariate time series features such that the features can then be easily tracked and validated.

  https://www.kdnuggets.com/2022/03/building-tractable-feature-engineering-pipeline-multivariate-time-series.html

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

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

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

• Build a Machine Learning Web App in 5 Minutes

  In this article, you will learn to export your models and use them outside a Jupyter Notebook environment. You will build a simple web application that is able to feed user input into a machine learning model, and display an output prediction to the user.

  https://www.kdnuggets.com/2022/03/build-machine-learning-web-app-5-minutes.html

• Open Data and Why it is Necessary

  Open data improves accessibility and encourages universal participation, which allows companies to create cutting-edge, data-driven technologies and make the world a better place.

  https://www.kdnuggets.com/2022/03/open-data-necessary.html

• How to Stay on Top of What’s Going on in the AI World

  How do you keep up with all the news and trends, and navigate through the endless stream of AI information? Check out this author's list of favorite AI papers sources that help you float effortlessly in the info ocean.

  https://www.kdnuggets.com/2022/03/stay-top-going-ai-world.html

• 3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks

  While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems.

  https://www.kdnuggets.com/2021/08/3-reasons-linear-regression-instead-neural-networks.html

• 5 Applications of Computer Vision

  CV has the potential to transform industries and how they operate. Here are some of the most notable applications worth exploring.

  https://www.kdnuggets.com/2022/03/5-applications-computer-vision.html

• What is Adversarial Machine Learning?

  In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a malfunction in the model. 

  https://www.kdnuggets.com/2022/03/adversarial-machine-learning.html

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

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

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

• 3 Possible Ways to Get into Data Science

  This article will discuss 3 possible ways of getting into the field of data science.

  https://www.kdnuggets.com/2022/03/3-possible-ways-get-data-science.html

• Hybrid AI Will Go Mainstream in 2022

  Analysts predict an AI boom, driven by possibilities and record funding. While challenges remain, a hybrid approach combining the best of the realm may finally send it sailing into the mainstream.

  https://www.kdnuggets.com/2022/03/hybrid-ai-go-mainstream-2022.html

• Women in the World of Data

  When it comes to Data Science, many people affiliate the career path as being ‘nerdy’. An industry for men, smart men; pushing women further and further away from the career. What can be done about this, and why is it important?

  https://www.kdnuggets.com/2022/03/women-world-data.html

• KDnuggets™ News 22:n09, Mar 2: Telling a Great Data Story: A Visualization Decision Tree; SQL vs. Object-Relational Mapping (ORM)

  Telling a Great Data Story: A Visualization Decision Tree; What Is the Difference Between SQL and Object-Relational Mapping (ORM)?; Top 7 YouTube Courses on Data Analytics ; How Much Do Data Scientists Make in 2022?; Design Patterns in Machine Learning for MLOps

  https://www.kdnuggets.com/2022/n09.html

• Data: The Most Valuable Commodity for Businesses

  Many companies have been capturing customer data in some form or another for decades. Petabytes of data are traversing networks worldwide every day, and all of that data means big money. Here's how companies can best utilize this data to influence positive outcomes.

  https://www.kdnuggets.com/2022/03/data-valuable-commodity-businesses.html

• Top Data Science Tools for 2022

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

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

• Calculus: The hidden building block of machine learning

  Unless you have a basic knowledge of calculus, you cannot understand how machine learning algorithms are developed. Calculus for Machine Learning is designed for developers to get you up to speed on the calculus that you need for applied machine learning. The book has more math than our other books and over 85 code examples to help you understand the concepts.

  https://www.kdnuggets.com/2022/02/mlm-hidden-building-block-machine-learning.html

• How to Create a Dataset for Machine Learning

  Datasets - properly curated and labeled - remain a scarce resource. What can be done about this?

  https://www.kdnuggets.com/2022/02/create-dataset-machine-learning.html

• Analyzing the Probability of Future Success with Intelligence Node’s Attributes Evolution Model

  The analytics team at Intelligence Node have been working on developing a Limited Memory model (which first started as a Reactive model) aka the 'The Probability of Future Success' model. This model explores a new market driven approach to identifying future trends and probability of success for specific product attributes based on a series of dynamic metrics and attributes. Read this article to know more.

  https://www.kdnuggets.com/2022/02/analyzing-probability-future-success-intelligence-node-attributes-evolution-model.html

• 6 Data Science Startups To Work For In 2022

  If you’re looking to put your skills to the test, here are the top six startups you should consider working for in 2022.

  https://www.kdnuggets.com/2022/02/6-data-science-startups-work-2022.html

• Top 7 YouTube Courses on Data Analytics

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

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

• How Much Do Data Scientists Make in 2022?

  The data scientist salary - the past, the present, and a little bit of the future.

  https://www.kdnuggets.com/2022/02/much-data-scientists-make-2022.html

• PyTorch or TensorFlow? Comparing popular Machine Learning frameworks

  Machine Learning with PyTorch and Scikit-learn is the PyTorch book from the widely acclaimed and bestselling Python Machine Learning series, fully updated and expanded to cover PyTorch, transformers, graph neural networks, and best practices.

  https://www.kdnuggets.com/2022/02/packt-pytorch-tensorflow-comparing-popular-machine-learning-frameworks.html

• Data-Centric AI: The Latest Research You Need to Know

  While a vast majority of research efforts today are preoccupied solely with ML models and algorithms, the data itself tends to be secondary and is treated as fixed. This claim is potentially detrimental.

  https://www.kdnuggets.com/2022/02/datacentric-ai-latest-research-need-know.html

• What Is the Difference Between SQL and Object-Relational Mapping (ORM)?

  Object-relational mapping, or ORM, is a technique that allows you to interact with databases using the object-oriented paradigm of the programming language of your choosing. How is that different from structured query language, though, and when do you use them?

  https://www.kdnuggets.com/2022/02/difference-sql-object-relational-mapping-orm.html

• Design Patterns in Machine Learning for MLOps

  This article outlines some of the most common design patterns encountered when creating successful Machine Learning solutions.

  https://www.kdnuggets.com/2022/02/design-patterns-machine-learning-mlops.html

• Cloud Storage Adoption is the Need of the Hour for Business

  The rush towards cloud storage means that the cloud has to offer a valuable proposition to businesses. Let’s explore why businesses regardless of their size should consider moving to the cloud.

  https://www.kdnuggets.com/2022/02/cloud-storage-adoption-need-hour-business.html

• How to Filter Data with Python

  Let’s dive a little deeper into some simple operations that might make your everyday work a little easier.

  https://www.kdnuggets.com/2022/02/filter-data-python.html

• Essential Machine Learning Algorithms: A Beginner’s Guide

  Machine Learning as a technology, ensures that our current gadgets and their software get smarter by the day. Here are the algorithms that you ought to know about to understand Machine Learning’s varied and extensive functionalities and their effectiveness.

  https://www.kdnuggets.com/2021/05/essential-machine-learning-algorithms-beginners.html

• Orchestrate a Data Science Project in Python With Prefect

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

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

• The Challenges of Being a Data Scientist

  According to a Stack Overflow survey, 13.2% of the data scientists are looking for a new job, as they are not satisfied in their current role. So why is this happening? What are the challenges Data Scientists are facing?

  https://www.kdnuggets.com/2022/02/data-scientist-challenges.html

• The Challenges of Creating Features for Machine Learning

  What are the challenges of creating features for machine learning and how can we mitigate them.

  https://www.kdnuggets.com/2022/02/challenges-creating-features-machine-learning.html

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

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

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

• Octoparse 8.5: Empowering Local Scraping and More

  Octoparse 8.5 is now released with game-changing new features and major improvements.

  https://www.kdnuggets.com/2022/02/octoparse-85-empowering-local-scraping.html

• 4 Ways Hackers Are Using Data Science to Steal Billions

  The best way to stop your enemy is to know your enemy. Here are four ways hackers are using data science - and how they can be stopped.

  https://www.kdnuggets.com/2022/02/4-ways-hackers-data-science-steal-billions.html

• How You Can Use Machine Learning to Automatically Label Data

  AI and machine learning can provide us with these tools. This guide will explore how we can use machine learning to label data.

  https://www.kdnuggets.com/2022/02/machine-learning-automatically-label-data.html

• A new book that will revolutionize the way your organization approaches data!

  Data Mesh in Action by Jacek Majchrzak, Sven Balnojan, and Marian Siwiak reveals how this new groundbreaking decentralized architecture looks for both small startups and large enterprises.

  https://www.kdnuggets.com/2022/02/manning-new-book-revolutionize-way-organization-approaches-data.html

• An Easy Guide to Choose the Right Machine Learning Algorithm

  There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

  https://www.kdnuggets.com/2020/05/guide-choose-right-machine-learning-algorithm.html

• No Brainer AutoML with AutoXGB

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

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

• Building a Visual Search Engine – Part 2: The Search Engine

  Ever wonder how Google or Bing finds similar images to your image? The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. In this article, we will explain one such method to build a visual search engine. We will use the Caltech 101 dataset which contains images of common objects used in daily life.

  https://www.kdnuggets.com/2022/02/building-visual-search-engine-part-2.html

• How to Become a Successful Data Science Freelancer in 2022

  In this article, I will walk you through how you can use your data science skills to land freelance gigs.

  https://www.kdnuggets.com/2022/02/become-successful-data-science-freelancer-2022.html

• KDnuggets™ News 22:n07, Feb 16: How to Learn Math for Machine Learning; Data Mesh & Its Distributed Data Architecture

  How to Learn Math for Machine Learning; Data Mesh & Its Distributed Data Architecture; 5 Ways to Apply AI to Small Data Sets; Top 5 Free Machine Learning Courses; Junior Data Scientist: The Next Level

  https://www.kdnuggets.com/2022/n07.html

• From Oracle to Databases for AI: The Evolution of Data Storage

  From Oracle, to NoSQL databases, and beyond, read about data management solutions from the early days of the RBDMS to those supporting AI applications.

  https://www.kdnuggets.com/2022/02/oracle-databases-ai-evolution-data-storage.html

• Common Data Problems (and Solutions)

  Let’s have a look into some of the common problems with data and the solutions for them.

  https://www.kdnuggets.com/2022/02/common-data-problems-solutions.html

• Top Posts Feb 7-13: Decision Tree Algorithm, Explained

  Also: How to Learn Math for Machine Learning; 7 Steps to Mastering Machine Learning with Python in 2022; Top Programming Languages and Their Uses; The Complete Collection of Data Science Cheat Sheets – Part 1

  https://www.kdnuggets.com/2022/02/top-news-week-0207-0213.html

• Free MIT Courses on Calculus: The Key to Understanding Deep Learning

  Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.

  https://www.kdnuggets.com/2020/07/free-mit-courses-calculus-key-deep-learning.html

• Ploomber vs Kubeflow: Making MLOps Easier

  This article covers some background on Ploomber, Kubeflow pipelines, and why we need those tools to make our lives easier.

  https://www.kdnuggets.com/2022/02/ploomber-kubeflow-mlops-easier.html

• Top 5 Free Machine Learning Courses

  Give a boost to your career and learn job-ready machine learning skills by taking the best free online courses.

  https://www.kdnuggets.com/2022/02/top-5-free-machine-learning-courses.html

• Managing Your Reusable Python Code as a Data Scientist

  Here are a few approaches that I have settled on for managing my own reusable Python code as a data scientist, presented from most to least general code use, and aimed at beginners.

  https://www.kdnuggets.com/2021/06/managing-reusable-python-code-data-scientist.html

• How to Learn Math for Machine Learning

  So how much math do you need to know in order to work in the data science industry? The answer: Not as much as you think.

  https://www.kdnuggets.com/2022/02/learn-math-machine-learning.html

• Data Mesh & Its Distributed Data Architecture

  Going forward, data professionals have found a new way to address the scalability of sources through data mesh.

  https://www.kdnuggets.com/2022/02/data-mesh-distributed-data-architecture.html

• Data Science Definition Humor: A Collection of Quirky Quotes Related to Data Science Definitions

  Read this collection of humorous, insightful quotes around data science that will hopefully brighten your day and make you laugh!

  https://www.kdnuggets.com/2022/02/data-science-definition-humor.html

• Junior Data Scientist: The Next Level

  There is a difference in the level of experience compared to Junior, Mid-Level, and Senior Data Scientists. This article will go through the expectations for all job roles and what is required to move up the ladder.

  https://www.kdnuggets.com/2022/02/junior-data-scientist-next-level.html

• 5 Ways to Apply AI to Small Data Sets

  It is better to use AI algorithms on small data sets for results free of human errors and false results when applied correctly. Here are some methods to apply AI to small data sets.

  https://www.kdnuggets.com/2022/02/5-ways-apply-ai-small-data-sets.html

• Decision Tree Algorithm, Explained

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

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

• Building a Visual Search Engine – Part 1: Data Exploration

  Ever wonder how Google or Bing finds similar images to your image? The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. In this article, we will explain one such method to build a visual search engine. We will use the Caltech 101 dataset which contains images of common objects used in daily life.

  https://www.kdnuggets.com/2022/02/building-visual-search-engine-part-1.html

• KDnuggets™ News 22:n06, Feb 9: Data Science Programming Languages and When To Use Them; Complete Collection of Data Science Cheat Sheets

  Data Science Programming Languages and When To Use Them; The Complete Collection of Data Science Cheat Sheets – Part 1; Build a Web Scraper with Python in 5 Minutes; 8 Best Data Science Courses to Enroll in 2022 For Steep Career Advancement; Classifying Long Text Documents Using BERT

  https://www.kdnuggets.com/2022/n06.html

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

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

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

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

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

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

• 19 Data Science Project Ideas for Beginners

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

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

• Build a Web Scraper with Python in 5 Minutes

  In this article, I will show you how to create a web scraper from scratch in Python.

  https://www.kdnuggets.com/2022/02/build-web-scraper-python-5-minutes.html

• Deploying a Streamlit WebApp to Heroku using DAGsHub

  Transform your machine learning models into a web app and share them with your friends and colleagues.

  https://www.kdnuggets.com/2022/02/deploying-streamlit-webapp-heroku-dagshub.html

• Data Science Programming Languages and When To Use Them

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

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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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