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• The Definitive Guide to Solving the Phantom Read in MySQL

  This article will cover how MySQL developers can troubleshoot the "write" skew that phantom reads can cause.

  https://www.kdnuggets.com/2022/06/definitive-guide-solving-phantom-read-mysql.html

• Python For Machine Learning: eBook Review

  The guide to writing production-ready Python code for machine learning projects.

  https://www.kdnuggets.com/2022/06/python-machine-learning-ebook-review.html

• Deep Learning Key Terms, Explained

  Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.

  https://www.kdnuggets.com/2016/10/deep-learning-key-terms-explained.html

• Publications on Data Science, Machine Learning, AI & Analytics

    Featured Publications The Machine Learning Mastery EBook Catalog Machine Learning Mastery Frustrated with one-off articles and too much math? Take the Next Step and Read more »

  https://www.kdnuggets.com/publication/index.html

• NLP, NLU, and NLG: What’s The Difference? A Comprehensive Guide

  This article aims to quickly cover the similarities and differences between NLP, NLU, and NLG and talk about what the future for NLP holds.

  https://www.kdnuggets.com/2022/06/nlp-nlu-nlg-difference-comprehensive-guide.html

• A Structured Approach To Building a Machine Learning Model

  This article gives you a glimpse of how to approach a machine learning project with a clear outline of an easy-to-implement 5-step process.

  https://www.kdnuggets.com/2022/06/structured-approach-building-machine-learning-model.html

• Scrape Images Easily from Websites in A No-Coding Way

  In the upcoming 8.5.4 version of Octoparse, image download during the data scraping process will be supported. You won’t miss it!

  https://www.kdnuggets.com/2022/06/octoparse-scrape-images-easily-websites-nocoding-way.html

• Understanding Functions for Data Science

  Most data science problems boil down to finding the mathematical function that describes the relationship between feature and target variables.

  https://www.kdnuggets.com/2022/06/understanding-functions-data-science.html

• European AI Act: The Simplified Breakdown

  The AI act aims to ensure excellence in the EU, provide the correct conditions for the development of AI and guarantee that AI systems are beneficial to people.

  https://www.kdnuggets.com/2022/06/european-ai-act-simplified-breakdown.html

• Every Engineer Should and Can Learn Machine Learning

  Read this interview with Sourabh Bajaj of co:rise, discussing the evolution of the ML role, how he designed the course to connect with today’s business needs, and how he thinks students can apply the covered topics at the end of each course!

  https://www.kdnuggets.com/2022/06/corise-every-engineer-learn-machine-learning.html

• How is Data Mining Different from Machine Learning?

  How about we take a closer look at data mining and machine learning so we know how to catch their different ends?

  https://www.kdnuggets.com/2022/06/data-mining-different-machine-learning.html

• Top 18 Data Science Facebook Groups

  Join the best data science groups on Facebook to share insights and experiences, ask for guidance, and build valuable connections.

  https://www.kdnuggets.com/2022/06/top-18-data-science-facebook-groups.html

• KDnuggets News, June 8: 21 Cheat Sheets for Data Science Interviews; Top 18 Data Science Group on LinkedIn

  21 Cheat Sheets for Data Science Interviews; Top 18 Data Science Group on LinkedIn; A Beginner's Guide to Q Learning; 3 Ways Understanding Bayes Theorem Will Improve Your Data Science; Machine Learning Is Not Like Your Brain Part 3: Fundamental Architecture

  https://www.kdnuggets.com/2022/n23.html

• 3 Ways Understanding Bayes Theorem Will Improve Your Data Science

  Mastery of this intuitive statistical concept will advance your credibility as a decision-maker.

  https://www.kdnuggets.com/2022/06/3-ways-understanding-bayes-theorem-improve-data-science.html

• Data Science is Overrated, Here’s Why

  Think twice before jumping on the data science bandwagon.

  https://www.kdnuggets.com/2022/06/data-science-overrated.html

• Genetic Algorithm Key Terms, Explained

  This article presents simple definitions for 12 genetic algorithm key terms, in order to help better introduce the concepts to newcomers.

  https://www.kdnuggets.com/2018/04/genetic-algorithm-key-terms-explained.html

• Python: The programming language of machine learning

  You can't avoid learning Python if you work on machine learning problems. You need to know what other people's code means and you need to convey your ideas to them too.

  https://www.kdnuggets.com/2022/06/mlm-python-programming-language-machine-learning.html

• Must-haves on Your Data Science Resume

  Recruiters look at a resume for 7.4 seconds before making a decision on the candidate. So that means you have basically less than 10 seconds to make a good impression. 10 seconds is not a lot of time; especially when you really want this job.

  https://www.kdnuggets.com/2022/06/musthaves-data-science-resume.html

• Learn MLOps with This Free Course

  Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.

  https://www.kdnuggets.com/2022/06/learn-mlops-free-course.html

• How Activation Functions Work in Deep Learning

  Check out a this article for a better understanding of activation functions.

  https://www.kdnuggets.com/2022/06/activation-functions-work-deep-learning.html

• A Beginner’s Guide to Q Learning

  Learn the basics of Q-learning in this article, a model-free reinforcement learning algorithm.

  https://www.kdnuggets.com/2022/06/beginner-guide-q-learning.html

• Five Signs of an Effective Data Science Manager

  In this article, we will go beyond the theoretical realm of what a data science manager does and focus more on how to become an “effective” data science manager.

  https://www.kdnuggets.com/2022/06/five-signs-effective-data-science-manager.html

• Machine Learning Is Not Like Your Brain Part 3: Fundamental Architecture

  Part three of this series examines the fundamental architecture underlying machine learning and the brain.

  https://www.kdnuggets.com/2022/06/machine-learning-like-brain-part-3-fundamental-architecture.html

• Top Industries and Employers Hiring Data Scientists in 2022

  This article presents the top industries and companies that are currently actively hiring data scientists.

  https://www.kdnuggets.com/2022/06/top-industries-employers-hiring-data-scientists-2022.html

• KDnuggets News, June 1: The Complete Collection of Data Science Books; Projects That Will Land You The Job in 2022

  The Complete Collection of Data Science Books - Part 2; Data Science Projects That Will Land You The Job in 2022; How to Become a Machine Learning Engineer; Dynamic Time Warping Algorithm in Time Series, Explained; Free Data Engineering Courses

  https://www.kdnuggets.com/2022/n22.html

• KDnuggets Top Posts for April 2022: 15 Python Coding Interview Questions You Must Know For Data Science

  Also: Python Libraries Data Scientists Should Know in 2022; The Complete Collection Of Data Repositories - Part 1; Top YouTube Channels for Learning Data Science; 7 Steps to Mastering SQL for Data Science; A Brief Introduction to Papers With Code

  https://www.kdnuggets.com/2022/06/top-posts-apr-2022.html

• Top 18 Data Science Groups on LinkedIn

  Join the best data science professional groups on LinkedIn to share insights and experiences, ask for guidance, and build valuable connections.

  https://www.kdnuggets.com/2022/06/top-18-data-science-group-linkedin.html

• Metadata Store for Production ML!

  Add Layer to your existing ML code and quickly get a rich model and data registry with experiment tracking!

  https://www.kdnuggets.com/2022/05/layer-metadata-store-production-ml.html

• 6 Things You Need To Know About Data Management And Why It Matters For Computer Vision

  This article will explore a few areas that we feel are essential when assessing data management solutions for computer vision.

  https://www.kdnuggets.com/2022/05/6-things-need-know-data-management-matters-computer-vision.html

• Top Posts May 23-29: The Complete Collection of Data Science Books – Part 2

  Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know

  https://www.kdnuggets.com/2022/05/top-posts-week-0523-0529.html

• Database Key Terms, Explained

  Interested in a survey of important database concepts and terminology? This post concisely defines 16 essential database key terms.

  https://www.kdnuggets.com/2016/07/database-key-terms-explained.html

• How to Become a Machine Learning Engineer

  A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to data scientists.

  https://www.kdnuggets.com/2022/05/become-machine-learning-engineer.html

• Free Data Engineering Courses

  Get into the highly in-demand world of data engineering for free and earn 6 figures salary.

  https://www.kdnuggets.com/2022/05/free-data-engineering-courses.html

• Predicting Cryptocurrency Prices Using Regression Models

  In this article, we explore how to get started with the prediction of cryptocurrency prices using multiple linear regression. The factors investigated include predictions on various time intervals as well as the use of various features in the models such as opening price, high price, low price and volume.

  https://www.kdnuggets.com/2022/05/predicting-cryptocurrency-prices-regression-models.html

• Weak Supervision Modeling, Explained

  This article dives into weak supervision modeling and truly understanding the label model.

  https://www.kdnuggets.com/2022/05/weak-supervision-modeling-explained.html

• The Definitive Guide To Switching Your Career Into Data Science

  Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.

  https://www.kdnuggets.com/2022/05/definitive-guide-switching-career-data-science.html

• Free Workshop on AI Quality, Back By Popular Demand

  AI Quality: Driving ML Performance and Trustworthiness is a free course taught live by five experts from leading universities, including a professor from Carnegie Mellon University and Stanford University. Register today as space is limited!

  https://www.kdnuggets.com/2022/05/truera-free-workshop-ai-quality-back-popular-demand.html

• Data Science Projects That Will Land You The Job in 2022

  Project ideas and portfolio tips from a self-taught data scientist.

  https://www.kdnuggets.com/2022/05/data-science-projects-land-job-2022.html

• The Complete Collection of Data Science Books – Part 2

  Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-2.html

• Descriptive Statistics Key Terms, Explained

  This is a collection of 15 basic descriptive statistics key terms, explained in easy to understand language, along with an example and some Python code for computing simple descriptive statistics.

  https://www.kdnuggets.com/2017/05/descriptive-statistics-key-terms-explained.html

• Understanding Agent Environment in AI

  The role of the agent is always very important in artificial intelligence, machine learning, and deep learning. Learn more about agents here.

  https://www.kdnuggets.com/2022/05/understanding-agent-environment-ai.html

• Data Science, Statistics and Machine Learning Dictionary

  Check out this curated list of the most used data science terminology and get a leg up on your learning.

  https://www.kdnuggets.com/2022/05/data-science-statistics-machine-learning-dictionary.html

• KDnuggets News, May 25: The 6 Python Machine Learning Tools Every Data Scientist Should Know About; The Complete Collection of Data Science Books

  The 6 Python Machine Learning Tools Every Data Scientist Should Know About; The Complete Collection of Data Science Books - Part 1; Finding the Best IDE Software; 5 Ways to Double Your Income with Data Science; Operationalizing Machine Learning from PoC to Production

  https://www.kdnuggets.com/2022/n21.html

• 7 Unique Skills That Set Data Scientists Apart From Other Professions

  To be a data scientist, and especially to be a good one, you need these seven skills to do your job and stand out. These seven skills also transfer really well to other professions.

  https://www.kdnuggets.com/2022/05/7-unique-skills-set-data-scientists-apart-professions.html

• Machine Learning Is Not Like Your Brain Part Two: Perceptrons vs Neurons

  An ML system requiring thousands of tagged samples is fundamentally different from the mind of a child, which can learn from just a few experiences of untagged data.

  https://www.kdnuggets.com/2022/05/machine-learning-like-brain-part-two-perceptrons-neurons.html

• 3 Reasons Why Teamwork is an Essential Skill in Data Science

  This article will discuss 3 important reasons why teamwork is so crucial in real-world data science projects.

  https://www.kdnuggets.com/2022/05/3-reasons-teamwork-essential-skill-data-science.html

• Top Jobs and Salaries in Data Science in 2022

  If you are looking to get into the field, you are probably looking for something that you are interested in, but also know that you have a nicely compensated salary. Read more here.

  https://www.kdnuggets.com/2022/05/top-jobs-salaries-data-science-2022.html

• Pydon’ts – Write elegant Python code: Free Book Review

  The book consists of 200 actionable Python insights with a detailed explanation of how to write elegant, compelling, and expressive code.

  https://www.kdnuggets.com/2022/05/pydonts-write-elegant-python-code-free-book-review.html

• Operationalizing Machine Learning from PoC to Production

  Most companies haven’t seen ROI from machine learning since the benefit is only realized when the models are in production. Here’s how to make sure your ML project works.

  https://www.kdnuggets.com/2022/05/operationalizing-machine-learning-poc-production.html

• The 6 Python Machine Learning Tools Every Data Scientist Should Know About

  Let's look at six must-have tools every data scientist should use.

  https://www.kdnuggets.com/2022/05/6-python-machine-learning-tools-every-data-scientist-know.html

• A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

  We give a taxonomy of the trustworthy GNNs in privacy, robustness, fairness, and explainability. For each aspect, we categorize existing works into various categories, give general frameworks in each category, and more.

  https://www.kdnuggets.com/2022/05/comprehensive-survey-trustworthy-graph-neural-networks-privacy-robustness-fairness-explainability.html

• The Complete Collection of Data Science Books – Part 1

  Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-1.html

• Finding the Best IDE Software

  What should you be looking for in an IDE? Find out here.

  https://www.kdnuggets.com/2022/05/finding-best-ide-software.html

• How to Manage Your Complex IT Landscape with AIOps

  Complete guide and blog post series on IT Operations Management with AIOps. Using AI and Machine Learning to manage IT complexity to deliver world class IT service while keeping the lights on.

  https://www.kdnuggets.com/2022/05/manage-complex-landscape-aiops.html

• KDnuggets News, May 18: 5 Free Hosting Platform For Machine Learning Applications; Data Mesh Architecture: Reimagining Data Management

  5 Free Hosting Platform For Machine Learning Applications; Data Mesh Architecture: Reimagining Data Management; Popular Machine Learning Algorithms; Reinforcement Learning for Newbies ; Deep Learning For Compliance Checks: What's New?

  https://www.kdnuggets.com/2022/n20.html

• 5 Ways to Double Your Income with Data Science

  Here’s how you can use your data skills to generate side income from home.

  https://www.kdnuggets.com/2022/05/5-ways-double-income-data-science.html

• Top Posts May 9-15: Decision Tree Algorithm, Explained

  Also: 9 Free Harvard Courses to Learn Data Science in 2022; Free University Data Science Resources; Top Programming Languages and Their Uses; Naïve Bayes Algorithm: Everything You Need to Know

  https://www.kdnuggets.com/2022/05/top-posts-week-0509-0515.html

• HuggingFace Has Launched a Free Deep Reinforcement Learning Course

  Hugging Face has released a free course on Deep RL. It is self-paced and shares a lot of pointers on theory, tutorials, and hands-on guides.

  https://www.kdnuggets.com/2022/05/huggingface-launched-free-deep-reinforcement-learning-course.html

• 6 Soft Skills for Data Scientists Working Remotely

  As a data scientist, you might have a great portfolio of technical skills, but if you can’t communicate effectively, you won’t be able to convey your ideas clearly during virtual meetings

  https://www.kdnuggets.com/2022/05/6-soft-skills-data-scientists-working-remotely.html

• Should The Data Warehouse Be Immutable?

  Is the data warehouse broken? Is the "immutable data warehouse" the right path for your data team? Learn more here.

  https://www.kdnuggets.com/2022/05/data-warehouse-immutable.html

• Natural Language Processing Key Terms, Explained

  This post provides a concise overview of 18 natural language processing terms, intended as an entry point for the beginner looking for some orientation on the topic.

  https://www.kdnuggets.com/2017/02/natural-language-processing-key-terms-explained.html

• Popular Machine Learning Algorithms

  This guide will help aspiring data scientists and machine learning engineers gain better knowledge and experience. I will list different types of machine learning algorithms, which can be used with both Python and R.

  https://www.kdnuggets.com/2022/05/popular-machine-learning-algorithms.html

• Reinforcement Learning for Newbies

  A simple guide to reinforcement learning for a complete beginner. The blog includes definitions with examples, real-life applications, key concepts, and various types of learning resources.

  https://www.kdnuggets.com/2022/05/reinforcement-learning-newbies.html

• The Curse of Delayed Performance

  Predict the performance of your model -  before the ground truth is available.

  https://www.kdnuggets.com/2022/05/nannyml-curse-delayed-performance.html

• Centroid Initialization Methods for k-means Clustering

  This article is the first in a series of articles looking at the different aspects of k-means clustering, beginning with a discussion on centroid initialization.

  https://www.kdnuggets.com/2020/06/centroid-initialization-k-means-clustering.html

• oBERT: Compound Sparsification Delivers Faster Accurate Models for NLP

  Discover "compound sparsification" and how to apply it to BERT models for 10x compression and GPU-level latency on commodity CPUs.

  https://www.kdnuggets.com/2022/05/obert-compound-sparsification-delivers-faster-accurate-models-nlp.html

• The “Hello World” of Tensorflow

  In this article, we will build a beginner-friendly machine learning model using TensorFlow.

  https://www.kdnuggets.com/2022/05/hello-world-tensorflow.html

• Deep Learning For Compliance Checks: What’s New?

  By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands.

  https://www.kdnuggets.com/2022/05/deep-learning-compliance-checks-new.html

• Can We Query a Table with T5?

  Learn how to tune a large language model.

  https://www.kdnuggets.com/2022/05/query-table-t5.html

• 5 Free Hosting Platform For Machine Learning Applications

  Learn about the free and easy-to-deploy hosting platform for your machine learning projects.

  https://www.kdnuggets.com/2022/05/5-free-hosting-platform-machine-learning-applications.html

• Top 4 tricks for competing on Kaggle and why you should start

  If you aren't familiar with Kaggle, you should be. Hear why from two expert Kagglers in this article.

  https://www.kdnuggets.com/2022/05/packt-top-4-tricks-competing-kaggle-start.html

• Create Efficient Combined Data Sources with Tableau

  Save time and effort with this guide, which will show you how to do data join operations in Tableau.

  https://www.kdnuggets.com/2022/05/create-efficient-combined-data-sources-tableau.html

• Data Mesh Architecture: Reimagining Data Management

  The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.

  https://www.kdnuggets.com/2022/05/data-mesh-architecture-reimagining-data-management.html

• KDnuggets News, May 11: SQL Notes for Professionals; How To Structure a Data Science Project

  SQL Notes for Professionals: The Free eBook Review; How To Structure a Data Science Project: A Step-by-Step Guide; Everything You Need to Know About Tensors; Free University Data Science Resources; Image Classification with Convolutional Neural Networks (CNNs)

  https://www.kdnuggets.com/2022/n19.html

• Quick Data Science Tips and Tricks to Learn SAS

  How To Tutorials with SAS data scientists and analytics instructors.

  https://www.kdnuggets.com/2022/05/sas-quick-data-science-tips-tricks-learn.html

• 4 Steps for Managing a Data Science Project

  Good planning and preparation will not only improve productivity, but it will help avoid potential pitfalls and roadblocks that could be encountered during project execution.

  https://www.kdnuggets.com/2022/05/4-steps-managing-data-science-project.html

• Machine Learning’s Sweet Spot: Pure Approaches in NLP and Document Analysis

  While it is true that Machine Learning today isn’t ready for prime time in many business cases that revolve around Document Analysis, there are indeed scenarios where a pure ML approach can be considered.

  https://www.kdnuggets.com/2022/05/machine-learning-sweet-spot-pure-approaches-nlp-document-analysis.html

• Free University Data Science Resources

  This is a list of FREE data science resources and notes that are available online, some of which are provided by universities.

  https://www.kdnuggets.com/2022/05/free-university-data-science-resources.html

• Machine Learning Key Terms, Explained

  Read this overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style.

  https://www.kdnuggets.com/2016/05/machine-learning-key-terms-explained.html

• An Overview of Mercury: Creating Data Science Portfolio and Notebook Based WebApps

  Turn your dull Jupyter notebooks into interactive web apps by adding a YAML header and sharing it with your friends and colleagues. You can also use Mercury to create your data science portfolio, which consists of a resume and projects.

  https://www.kdnuggets.com/2022/05/overview-mercury-creating-data-science-portfolio-notebook-based-webapps.html

• Does AI Get its Own Batman?

  AI is sending up the Bat-signal and synthetic data is answering the call for more robust, powerful, and less-biased AI systems.

  https://www.kdnuggets.com/2022/05/ai-get-batman.html

• Everything You Need to Know About Tensors

  In this article, we will cover the basics of the tensors.

  https://www.kdnuggets.com/2022/05/everything-need-know-tensors.html

• How to Build Strong Data Science Portfolio as a Beginner

  After learning the basics of data science, you can start to work on real-world problems. But how do you showcase your work? In this article, we are going to learn a unique way to create a data science portfolio.

  https://www.kdnuggets.com/2021/10/strong-data-science-portfolio-as-beginner.html

• Hypothesis Testing Explained

  This brief overview of the concept of Hypothesis Testing covers its classification in parametric and non-parametric tests, and when to use the most popular ones, including means, correlation, and distribution, in the case of one sample and two samples.

  https://www.kdnuggets.com/2021/09/hypothesis-testing-explained.html

• SQL Notes for Professionals: The Free eBook Review

  The free book is a combination of SQL cheat sheets and practical database examples. It provided bite-size information about every SQL function and attribute with coding samples.

  https://www.kdnuggets.com/2022/05/sql-notes-professionals-free-ebook-review.html

• Machine Learning Is Not Like Your Brain Part One: Neurons Are Slow, Slow, Slow

  Artificial intelligence is not all that intelligent. While today’s AI can do some extraordinary things, the functionality underlying its accomplishments has very little to do with the way in which a human brain works to achieve the same tasks.

  https://www.kdnuggets.com/2022/04/machine-learning-like-brain-part-one-neurons-slow-slow-slow.html

• Image Classification with Convolutional Neural Networks (CNNs)

  In this article, we’ll look at what Convolutional Neural Networks are and how they work.

  https://www.kdnuggets.com/2022/05/image-classification-convolutional-neural-networks-cnns.html

• 3 Steps for Harnessing the Power of Data

  Even though data is now produced at an unprecedented amount, data must be collected, processed, transformed, and analyzed to harness its power. Read more about the 3 main stages involved.

  https://www.kdnuggets.com/2022/05/3-steps-harnessing-power-data.html

• How To Structure a Data Science Project: A Step-by-Step Guide

  Check out all the necessary steps to successfully structure your data science projects leveraging data science templates.

  https://www.kdnuggets.com/2022/05/structure-data-science-project-stepbystep-guide.html

• KDnuggets News, May 4: 9 Free Harvard Courses to Learn Data Science; 15 Python Coding Interview Questions You Must Know For Data Science

  9 Free Harvard Courses to Learn Data Science in 2022; 15 Python Coding Interview Questions You Must Know For Data Science; Best Data Science Career Tracks of 2022; 6 Highest Paying Companies for Data Scientists; Why You Need To Learn Python In 2022

  https://www.kdnuggets.com/2022/n18.html

• 5 Key Components of a Data Sharing Platform

  Read this article for an overview of what the components of a data-sharing platform are.

  https://www.kdnuggets.com/2022/05/5-key-components-data-sharing-platform.html

• Software Developer vs Software Engineer

  The terms developer and engineer are used synonymously, making it difficult to understand the difference between the two in the midst of a conversation.

  https://www.kdnuggets.com/2022/05/software-developer-software-engineer.html

• 6 Highest Paying Companies for Data Scientists

  These are the six top paying companies for data scientists. I’ve looked at absolute salary, but I’ll fill you in on other factors you should consider as well when it comes to picking a data science job for money.

  https://www.kdnuggets.com/2022/05/6-highest-paying-companies-data-scientists.html

• Top 10 Machine Learning Demos: Hugging Face Spaces Edition

  Hugging Face Spaces allows you to have an interactive experience with the machine learning models, and we will be discovering the best application to get some inspiration.

  https://www.kdnuggets.com/2022/05/top-10-machine-learning-demos-hugging-face-spaces-edition.html

• Data Management: How to Stay on Top of Your Customer’s Mind?

  Extract, profile, and manage your customer data in a flash with customer data management solutions, and achieve a customer-centric culture.

  https://www.kdnuggets.com/2022/04/data-management-stay-top-customer-mind.html

• Best Data Science Career Tracks of 2022

  Top-rated data science tracks consist of multiple project-based courses covering all aspects of data. It includes an introduction to Python/R, data ingestion & manipulation, data visualization, machine learning, and reporting.

  https://www.kdnuggets.com/2022/04/best-data-science-career-tracks-2022.html

• High Availability SQL Server Docker Containers in Kubernetes

  Need high availability for SQL Server Docker containers in Kubernetes? Here’s how to get it.

  https://www.kdnuggets.com/2022/04/high-availability-sql-server-docker-containers-kubernetes.html

• Why You Need To Learn Python In 2022

  If you don’t already know a programming language, or if you’re deciding to choose another language, have a read and see if Python is for you.

  https://www.kdnuggets.com/2022/04/need-learn-python-2022.html

• MLOps: The Best Practices and How To Apply Them

  Here are some of the best practices for implementing MLOps successfully.

  https://www.kdnuggets.com/2022/04/mlops-best-practices-apply.html

• KDnuggets News, April 27: A Brief Introduction to Papers With Code; Machine Learning Books You Need To Read In 2022

  A Brief Introduction to Papers With Code; Machine Learning Books You Need To Read In 2022; Building a Scalable ETL with SQL + Python; 7 Steps to Mastering SQL for Data Science; Top Data Science Projects to Build Your Skills

  https://www.kdnuggets.com/2022/n17.html

• Getting Deep Learning working in the wild: A Data-Centric Course

  Data-centric learning resources are somewhat scattered today, and that’s why we developed a new Data Centric Deep Learning course on the co:rise education platform. It is an introduction to a set of approaches and best practices, for people who are trying to do deep learning in the wild.

  https://www.kdnuggets.com/2022/04/corise-deep-learning-wild-data-centric-course.html

• Data Scientist, Data Engineer & Other Data Careers, Explained

  In this article, we will have a look at five distinct data careers, and hopefully provide some advice on how to get one's feet wet in this convoluted field.

  https://www.kdnuggets.com/2021/05/data-scientist-data-engineer-data-careers-explained.html

• How Fast Can BERT Go With Sparsity?

  How much impact does sparsity have on model performance?

  https://www.kdnuggets.com/2022/04/fast-bert-go-sparsity.html

• 15 Python Coding Interview Questions You Must Know For Data Science

  Solving the Python coding interview questions is the best way to get ready for an interview. That’s why we’ll lead you through 15 examples and five concepts these questions cover.

  https://www.kdnuggets.com/2022/04/15-python-coding-interview-questions-must-know-data-science.html

• Want to Use Your Data Skills to Solve Global Problems? Here’s What You Need to Know

  Global risk management is an arena where data brings order to an unpredictable world. Johns Hopkins University’s part-time Master of Arts in Global Risk (online) takes just 18 to 21 months to complete. This multidisciplinary program helps professionals develop the skills to make forward-looking decisions that contribute to risk management.

  https://www.kdnuggets.com/2022/04/jhu-want-data-skills-solve-global-problems.html

• A Simple Guide to Machine Learning Visualisations

  Create simple, effective machine learning plots with Yellowbrick

  https://www.kdnuggets.com/2022/04/simple-guide-machine-learning-visualisations.html

• 7 Steps to Mastering SQL for Data Science

  SQL is a must-know for anyone working in the data industry. Here’s how you can learn it from scratch

  https://www.kdnuggets.com/2022/04/7-steps-mastering-sql-data-science.html

• KDnuggets Top Posts for March 2022: Why Are So Many Data Scientists Quitting Their Jobs?

  Also: 8 Free MIT Courses to Learn Data Science Online; Build a Machine Learning Web App in 5 Minutes; Best Data Science Books for Beginners; Linear vs Logistic Regression; and more!

  https://www.kdnuggets.com/2022/03/top-posts-mar-2022.html

• How Metadata Improves Security, Quality, and Transparency

  Metadata is the data providing context about the data, more than what you see in the rows and columns. By managing your metadata, you're effectively creating an encyclopedia of your data assets.

  https://www.kdnuggets.com/2022/04/metadata-improves-security-quality-transparency.html

• Top Data Science Projects to Build Your Skills

  Check out this list of data science project ideas that you can use to boost your skills, organized by level of expertise.

  https://www.kdnuggets.com/2022/04/top-data-science-projects-build-skills.html

• Top 5 Free Cloud Notebooks in 2022

  Create and collaborate on data science projects or train machine learning models using free cloud Jupyter notebook platforms. You get a hassle-free IDE experience and free compute resources.

  https://www.kdnuggets.com/2022/04/top-5-free-cloud-notebooks-2022.html

• Optimizing Genes with a Genetic Algorithm

  In the simplest terms genetic algorithms simulate a population where each individual is a possible “solution” and let survival of the fittest do its thing.

  https://www.kdnuggets.com/2022/04/optimizing-genes-genetic-algorithm.html

• A Community for Synthetic Data is Here and This is Why We Need It

  The first open-source platform for synthetic data is here to help educate the broader machine learning and computer vision communities on the emerging technology.

  https://www.kdnuggets.com/2022/04/community-synthetic-data-need.html

• Qualities Hiring Managers Are Looking For in Data Scientists

  Soft skills are just as important to hiring data science managers as hard skills.

  https://www.kdnuggets.com/2022/04/qualities-hiring-managers-looking-data-scientists.html

• The 8 Basic Statistics Concepts for Data Science

  Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field.

  https://www.kdnuggets.com/2020/06/8-basic-statistics-concepts.html

• Building a Scalable ETL with SQL + Python

  This post will look at building a modular ETL pipeline that transforms data with SQL and visualizes it with Python and R.

  https://www.kdnuggets.com/2022/04/building-scalable-etl-sql-python.html

• Nota AI releases beta version of NetPresso Model Search, their hardware-aware autoML tool

  Nota AI has launched the beta testing for NetsPresso Model Search, a hardware-aware autoML tool which searches and finds optimized models for a target device.

  https://www.kdnuggets.com/2022/04/nota-ai-releases-beta-version-netpresso-model-search-hardwareaware-automl-tool.html

• Machine Learning Books You Need To Read In 2022

  I have a list of Machine Learning books you need to read in 2022; beginner, intermediate, expert, and for everybody.

  https://www.kdnuggets.com/2022/04/machine-learning-books-need-read-2022.html

• Winning The Room: Creating and Delivering an Effective Data-Driven Presentation

  Don’t miss this practical and eye-opening guide on how to present technical data and analytical results to non-technical audiences in a live setting.

  https://www.kdnuggets.com/2022/04/franks-winning-room-creating-delivering-effective-data-driven-presentation.html

• How Has the Adoption of AI in Algorithmic Trading Affected the Finance Industry?

  Algorithmic trading is the execution of trading operations according to a given algorithm. Read on to find out more.

  https://www.kdnuggets.com/2022/04/adoption-ai-algorithmic-trading-affected-finance-industry.html

• A Brief Introduction to Papers With Code

  One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code.

  https://www.kdnuggets.com/2022/04/brief-introduction-papers-code.html

• KDnuggets News 22:n16, Apr 20: Top YouTube Channels for Learning Data Science; Data Visualization in Python with Seaborn

  Top YouTube Channels for Learning Data Science; Data Visualization in Python with Seaborn; Deploy a Machine Learning Web App with Heroku; How to Ace Data Science Assessment Test by Using Automatic EDA Tools; Will DeepMind’s AlphaCode Replace Programmers?

  https://www.kdnuggets.com/2022/n16.html

• How Artificial Intelligence Can Transform Data Integration

  Let's take a look at what goes into creating a foundation for enterprise-wide data intelligence and how AI and ML can permanently transform data integration.

  https://www.kdnuggets.com/2022/04/artificial-intelligence-transform-data-integration.html

• Prioritizing Data Science Models for Production

  Statistical performance metrics aren’t enough to pick the right models to bring to market.

  https://www.kdnuggets.com/2022/04/prioritizing-data-science-models-production.html

• How to Determine the Best Fitting Data Distribution Using Python

  Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.

  https://www.kdnuggets.com/2021/09/determine-best-fitting-data-distribution-python.html

• Guide to Iteratively Tuning GNNs

  This blog walks through a process for experimenting with hyperparameters, training algorithms and other parameters of Graph Neural Networks.

  https://www.kdnuggets.com/2022/04/sigopt-guide-iteratively-tuning-gnns.html

• Top YouTube Channels for Learning Data Science

  YouTube has become an important element in people's self-development and increase of knowledge. Check out this list of YouTube channels that offer Data Science learning.

  https://www.kdnuggets.com/2022/04/top-youtube-channels-learning-data-science.html

• Will DeepMind’s AlphaCode Replace Programmers?

  New milestone achieved by AlphaCode in competitive programming. Should software engineers fear for their jobs? Will AI replace us or assist us?

  https://www.kdnuggets.com/2022/04/deepmind-alphacode-replace-programmers.html

• Top Posts Apr 11-17: Python Libraries Data Scientists Should Know in 2022

  Also: Decision Tree Algorithm, Explained; Naïve Bayes Algorithm: Everything You Need to Know; Why Are So Many Data Scientists Quitting Their Jobs?; Top Programming Languages and Their Uses

  https://www.kdnuggets.com/2022/04/top-posts-week-0411-0417.html

• Deploy a Machine Learning Web App with Heroku

  In this article, you will learn to deploy a fully functional ML web application in under 3 minutes.

  https://www.kdnuggets.com/2022/04/deploy-machine-learning-web-app-heroku.html