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• The Resilient ML Stack is Modular

  So how can an organization stay agile within an ever-shifting ML landscape? Part of the answer lies with establishing a modular ML architecture. Comet will be joined on July 6th in a live webinar by the AI Infrastructure Alliance and Superb AI to discuss how to accelerate AI value with modular MLOps. Register now.

  https://www.kdnuggets.com/2022/06/comet-resilient-ml-stack-modular.html

• Top 5 Data Management Platforms

  This article presents the top 5 data management platforms, in order to help you choose which might be best for you.

  https://www.kdnuggets.com/2022/06/top-5-data-management-platforms.html

• Statistics and Probability for Data Science

  In this article, we discuss the importance of statistics and probability in data science and machine learning.

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

• KDnuggets News, June 29: 20 Basic Linux Commands for Data Science Beginners; Market Data and News: A Time Series Analysis

  20 Basic Linux Commands for Data Science Beginners; Market Data and News: A Time Series Analysis; Data Science Career: 7 Expectations vs Reality; Machine Learning Is Not Like Your Brain Part 4: The Neuron’s Limited Ability to Represent Precise Values; Comprehensive Guide to the Normal Distribution

  https://www.kdnuggets.com/2022/n26.html

• Step up your Python game with Fast Python for Data Science!

  Fast Python for Data Science by Tiago Antao is a hands-on guide to writing Python code that can process more data, faster, and with less resources.

  https://www.kdnuggets.com/2022/06/manning-step-python-game-fast-python-data-science.html

• Essential Math for Data Science: Eigenvectors and Application to PCA

  In this article, you’ll learn about the eigendecomposition of a matrix.

  https://www.kdnuggets.com/2022/06/essential-math-data-science-eigenvectors-application-pca.html

• 24 SQL Questions You Might See on Your Next Interview

  Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview.

  https://www.kdnuggets.com/2022/06/24-sql-questions-might-see-next-interview.html

• Data Preparation with SQL Cheatsheet

  If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?

  https://www.kdnuggets.com/2021/05/data-preparation-sql-cheat-sheet.html

• How to Stay Current in Python

  Staying current with Python will help maintain your hireability, get new opportunities, and continue to grow your knowledge.

  https://www.kdnuggets.com/2022/06/stay-current-python.html

• Top Posts June 20-26: 20 Basic Linux Commands for Data Science Beginners

  Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022

  https://www.kdnuggets.com/2022/06/top-posts-week-0620-0626.html

• The Complete Collection of Data Science Interviews – Part 2

  The second part covers the list of Data Management, Data Engineering, Machine Learning, Deep Learning, Natural Language Processing, MLOps, Cloud Computing, and AI Manager interview questions.

  https://www.kdnuggets.com/2022/06/complete-collection-data-science-interviews-part-2.html

• Market Data and News: A Time Series Analysis

  In this article we introduce a few tools and techniques for studying relationships between the stock market and the news. We explore time series processing, anomaly detection, and an event-based view of the news. We also generate intuitive charts to demonstrate some of these concepts, and share the code behind all of this in a notebook.

  https://www.kdnuggets.com/2022/06/market-data-news-time-series-analysis.html

• Why You Need To Learn More Than One Programming Language!

  Will your skills get outdated if you survive on one programming language for your career? Read on to find out.

  https://www.kdnuggets.com/2022/06/need-learn-one-programming-language.html

• Comprehensive Guide to the Normal Distribution

  Drop in for some tips on how this fundamental statistics concept can improve your data science.

  https://www.kdnuggets.com/2022/06/comprehensive-guide-normal-distribution.html

• 20 Basic Linux Commands for Data Science Beginners

  Essential Linux commands to improve the data science workflow. It will give you the power to automate tasks, build pipelines, access file systems, and enhance development operations.

  https://www.kdnuggets.com/2022/06/20-basic-linux-commands-data-science-beginners.html

• Speed up Machine Learning with Fast Kriging (FKR)

  Machine Learning has revolutionized the world, yet expensive computation costs on model trainings are often a large limitation, especially for large data sets or elevated precisions. VMC Consulting offers a new algorithm called Fast Kriging (FKR), which allows to train models with the high precision of Kriging at a speed 100+ times faster, without compromising precision, for any data set size.

  https://www.kdnuggets.com/2022/06/vmc-speed-machine-learning-fast-kriging.html

• Machine Learning Is Not Like Your Brain Part 4: The Neuron’s Limited Ability to Represent Precise Values

  In the fourth installment, we focus on a fundamental issue: it is difficult to represent numerical values in neurons and impractical to represent them with precision.

  https://www.kdnuggets.com/2022/06/machine-learning-like-brain-part-4-neuron-limited-ability-represent-precise-values.html

• Data Science Career: 7 Expectations vs Reality

  Let’s get into some of the expectations of data scientists – and the reality they face.

  https://www.kdnuggets.com/2022/06/data-science-career-7-expectations-reality.html

• KDnuggets News, June 22: Primary Supervised Learning Algorithms Used in Machine Learning; Top 15 Books to Master Data Strategy

  Primary Supervised Learning Algorithms Used in Machine Learning; Top 15 Books to Master Data Strategy; Top Data Science Podcasts for 2022; Prepare Your Data for Effective Tableau & Power BI Dashboards; Generate Synthetic Time-series Data with Open-source Tools

  https://www.kdnuggets.com/2022/n25.html

• Introducing Objectiv: Open-source product analytics infrastructure

  Collect validated user behavior data that’s ready to model on without prepwork. Take models built on one dataset and deploy & run them on another.

  https://www.kdnuggets.com/2022/06/objectiv-introducing-objectiv-opensource-product-analytics-infrastructure.html

• Essential Math for Data Science: Visual Introduction to Singular Value Decomposition

  This article will cover singular value decomposition (SVD), which is a major topic of linear algebra, data science, and machine learning.

  https://www.kdnuggets.com/2022/06/essential-math-data-science-visual-introduction-singular-value-decomposition.html

• Plotting and Data Visualization for Data Science

  In this article, we examine various types of plots used in data science and machine learning.

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

• KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022

  Also: The Complete Collection of Data Science Books - Part 2; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; The Complete Collection of Data Science Books - Part 1; Data Science Projects That Will Land You The Job in 2022; Software Developer vs Software Engineer

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

• Super Study Guide: A Free Algorithms and Data Structures eBook

  Check out Super Study Guide: Algorithms and Data Structures, a free ebook covering foundations, data structures, graphs, and trees, sorting and searching.

  https://www.kdnuggets.com/2022/06/super-study-guide-free-algorithms-data-structures-ebook.html

• Top Posts June 13-19: 14 Essential Git Commands for Data Scientists

  Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; Primary Supervised Learning Algorithms Used in Machine Learning

  https://www.kdnuggets.com/2022/06/top-posts-week-0613-0619.html

• The Complete Collection of Data Science Interviews – Part 1

  The first part covers the list of Behavioral, Situational, Statistics, Python, R, SQL, Data Analytics, and Business Intelligence interview questions.

  https://www.kdnuggets.com/2022/06/complete-collection-data-science-interviews-part-1.html

• A Gentle Introduction to Natural Language Processing

  This gentle introduction to NLP covers the basics, and will help you move along to more advanced topics ASAP.

  https://www.kdnuggets.com/2022/06/gentle-introduction-natural-language-processing.html

• Primary Supervised Learning Algorithms Used in Machine Learning

  In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.

  https://www.kdnuggets.com/2022/06/primary-supervised-learning-algorithms-used-machine-learning.html

• Prepare Your Data for Effective Tableau & Power BI Dashboards

  Although dashboards have become quite an integral part of performance tracking in organizations, implementing them can be tricky even for the most experienced analysts. This guide walks you through the steps that will allow you to create easily updatable, automated and scalable Power BI / Tableau dashboards.

  https://www.kdnuggets.com/2022/06/prepare-data-effective-tableau-power-bi-dashboards.html

• Top 15 Books to Master Data Strategy

  In this article, we outline 15 books on topics ranging from the technical to the non-technical, to help you improve your understanding of end-to-end best practices related to data.

  https://www.kdnuggets.com/2022/06/top-15-books-master-data-strategy.html

• Generate Synthetic Time-series Data with Open-source Tools

  An introduction to the generative adversarial network model DoppelGANger, and how you can use a new open-source PyTorch implementation of it to create high-quality synthetic time-series data.

  https://www.kdnuggets.com/2022/06/generate-synthetic-timeseries-data-opensource-tools.html

• Top Data Science Podcasts for 2022

  Here are some data science related podcasts to help you either grow your interest in the field, increase your current knowledge, or help you develop yourself.

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

• KDnuggets News, June 15: 14 Essential Git Commands for Data Scientists; A Structured Approach To Building a Machine Learning Model

  14 Essential Git Commands for Data Scientists; A Structured Approach To Building a Machine Learning Model; How is Data Mining Different from Machine Learning?; Understanding Functions for Data Science; Top 18 Data Science Facebook Groups

  https://www.kdnuggets.com/2022/n24.html

• 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

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

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

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

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  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

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

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

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

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

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

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

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

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

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

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• Image Classification with Convolutional Neural Networks (CNNs)

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

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  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

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

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

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

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

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

• Best Data Science Career Tracks of 2022

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

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