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• The Bias-Variance Trade-off

  Understanding how these prediction errors work and how they can be used will help you build models that are not only accurate and perform well - but also avoid overfitting and underfitting.

  https://www.kdnuggets.com/2022/08/biasvariance-tradeoff.html

• KDnuggets News, August 24: Implementing DBSCAN in Python • How to Avoid Overfitting

  Implementing DBSCAN in Python • How to Avoid Overfitting • Simplify Data Processing with Pandas Pipeline • How to Use Data Visualization to Add Impact to Your Work Reports and Presentations • The Data Quality Hierarchy of Needs

  https://www.kdnuggets.com/2022/n34.html

• Top Posts August 15-21: How to Perform Motion Detection Using Python

  How to Perform Motion Detection Using Python • The Complete Collection of Data Science Projects – Part 2 • Free AI for Beginners Course • Decision Tree Algorithm, Explained • What Does ETL Have to Do with Machine Learning?

  https://www.kdnuggets.com/2022/08/top-posts-week-0815-0821.html

• Customize Your Data Frame Column Names in Python

  This tutorial will explore four scenarios in which you can apply different transformations to all DataFrame columns.

  https://www.kdnuggets.com/2022/08/customize-data-frame-column-names-python.html

• Support Vector Machines: An Intuitive Approach

  This post focuses on building an intuition of the Support Vector Machine algorithm in a classification context and an in-depth understanding of how that graphical intuition can be mathematically represented in the form of a loss function. We will also discuss kernel tricks and a more useful variant of SVM with a soft margin.

  https://www.kdnuggets.com/2022/08/support-vector-machines-intuitive-approach.html

• The 5 Surprising Things You Can Do With R

  This article will dive into R's different uses and demonstrate what you can do with this programming language once you've learned it.

  https://www.kdnuggets.com/2022/08/5-surprising-things-r.html

• KDnuggets Top Posts for July 2022: Machine Learning Algorithms Explained in Less Than 1 Minute Each

  Machine Learning Algorithms Explained in Less Than 1 Minute Each • Free Python Automation Course • Free Python Crash Course • The 5 Hardest Things to Do in SQL • 16 Essential DVC Commands for Data Science • 12 Essential VSCode Extensions for Data Science • Parallel Processing Large • File in Python • Linear Algebra for Data Science

  https://www.kdnuggets.com/2022/08/top-posts-july-2022.html

• Simplify Data Processing with Pandas Pipeline

  Write a single line of code to clean and process the data for analytics and machine learning tasks.

  https://www.kdnuggets.com/2022/08/simplify-data-processing-pandas-pipeline.html

• Tuning Random Forest Hyperparameters

  Hyperparameter tuning is important for algorithms. It improves their overall performance of a machine learning model and is set before the learning process and happens outside of the model.

  https://www.kdnuggets.com/2022/08/tuning-random-forest-hyperparameters.html

• Free Python Project Coding Course

  Learn Python by doing Python. Check out this free project-based course to quickly learn how to program in the high-demand language.

  https://www.kdnuggets.com/2022/08/free-python-project-coding-course.html

• Last call: Stefan Krawcyzk’s ‘Mastering MLOps’ Live Cohort

  This is your last chance to sign up for Stefan Krawczyk's exclusive live cohort, starting August 22. We already have students enrolled from Apple, Amazon, Spotify, Nubank, Workfusion, Glassdoor, ServiceNow, and more.

  https://www.kdnuggets.com/2022/08/sphere-last-call-stefan-krawcyzk-mastering-mlops.html

• How to Use Data Visualization to Add Impact to Your Work Reports and Presentations

  For anyone whose work involves presenting data, understanding the art and science of data visualization — and its emphasis on storytelling — can make or break your ability to communicate key insights.

  https://www.kdnuggets.com/2022/08/data-visualization-add-impact-work-reports-presentations.html

• 5 Tricky SQL Queries Solved

  Explaining the approach to solving a few complex SQL queries.

  https://www.kdnuggets.com/2020/11/5-tricky-sql-queries-solved.html

• Type I and Type II Errors: What’s the Difference?

  Looking to sort out the difference between Type I and Type II errors? Read on for more.

  https://www.kdnuggets.com/2022/08/type-type-ii-errors-difference.html

• How Do Data Scientists and Data Engineers Work Together?

  If you’re considering a career in data science, it’s important to understand how these two fields differ, and which one might be more appropriate for someone with your skills and interests.

  https://www.kdnuggets.com/2022/08/data-scientists-data-engineers-work-together.html

• The Data Quality Hierarchy of Needs

  Just as Maslow identified a hierarchy of needs for people, data teams have a hierarchy of needs, beginning with data freshness; including volumes, schemas, and values; and culminating with lineage.

  https://www.kdnuggets.com/2022/08/data-quality-hierarchy-needs.html

• How CoRise Helped Ben Wilson Land a New Job as a Analytics Engineer (and a Side Gig in Doodling)

  In this practical modern data stack course, you will implement a dbt project on a data warehouse from scratch and with a lot of support along the way!

  https://www.kdnuggets.com/2022/08/corise-land-new-job-analytics-engineer.html

• Implementing DBSCAN in Python

  Density-based clustering algorithm explained with scikit-learn code example.

  https://www.kdnuggets.com/2022/08/implementing-dbscan-python.html

• How to Avoid Overfitting

  Overfitting is when a statistical model fits exactly against its training data. This leads to the model failing to predict future observations accurately.

  https://www.kdnuggets.com/2022/08/avoid-overfitting.html

• KDnuggets News, August 17: How to Perform Motion Detection Using Python • The Complete Collection of Data Science Projects

  How to Perform Motion Detection Using Python • The Complete Collection of Data Science Projects - Part 2 • What Does ETL Have to Do with Machine Learning? • Data Transformation: Standardization vs Normalization • The Evolution From Artificial Intelligence to Machine Learning to Data Science

  https://www.kdnuggets.com/2022/n33.html

• Is There a Way to Bridge the MLOps Tools Gap?

  Converting Jupyter notebooks to a well-designed software system is a mandatory step in every ML project. But there is a notable lack of tooling to assist developers with such translation, beyond the basic nbconvert utility.

  https://www.kdnuggets.com/2022/08/way-bridge-mlops-tools-gap.html

• Machine Learning Over Encrypted Data

  This blog outlines a solution to the Kaggle Titanic challenge that employs Privacy-Preserving Machine Learning (PPML) using the Concrete-ML open-source toolkit.

  https://www.kdnuggets.com/2022/08/machine-learning-encrypted-data.html

• Why is Data Management so Important to Data Science?

  High data availability may help power digital transformation, but data management systems are needed to keep that data organized and make it accessible. Read this article to see why data management is important to data science.

  https://www.kdnuggets.com/2022/08/data-management-important-data-science.html

• Top Posts August 8-14: Free AI for Beginners Course

  Free AI for Beginners Course • How to Perform Motion Detection Using Python • 3 Free Statistics Courses for Data Science • The 5 Hardest Things to Do in SQL • Decision Tree Algorithm, Explained

  https://www.kdnuggets.com/2022/08/top-posts-week-0808-0814.html

• What Does ETL Have to Do with Machine Learning?

  ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning.

  https://www.kdnuggets.com/2022/08/etl-machine-learning.html

• The Complete Collection of Data Science Projects – Part 2

  The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

  https://www.kdnuggets.com/2022/08/complete-collection-data-science-projects-part-2.html

• How to Perform Motion Detection Using Python

  In this article, we will specifically take a look at motion detection using a webcam of a laptop or computer and will create a code script to work on our computer and see its real-time example.

  https://www.kdnuggets.com/2022/08/perform-motion-detection-python.html

• The Importance of Experiment Design in Data Science

  Do you feel overwhelmed by the sheer number of ideas that you could try while building a machine learning pipeline? You can not take the liberty of trying all possible ways to arrive at a solution - hence we discuss the importance of experiment design in data science projects.

  https://www.kdnuggets.com/2022/08/importance-experiment-design-data-science.html

• Data Transformation: Standardization vs Normalization

  Increasing accuracy in your models is often obtained through the first steps of data transformations. This guide explains the difference between the key feature scaling methods of standardization and normalization, and demonstrates when and how to apply each approach.

  https://www.kdnuggets.com/2020/04/data-transformation-standardization-normalization.html

• How to land an ML job: Advice from engineers at Meta, Google Brain, and SAP

  Check out this video, summary and transcript of a discussion between co:rise co-founder Jake Samuelson and three outstanding ML engineers — Kaushik Rangadurai, Shalvi Mahajan, and Frank Chen — to hear their advice on landing a job in machine learning.

  https://www.kdnuggets.com/2022/08/corise-land-ml-job-advice-engineers-meta-google-brain-sap.html

• 5 Key Data Science Trends & Analytics Trends

  Let’s have a look at some of the key tech trends on the horizon right now.

  https://www.kdnuggets.com/2022/08/5-key-data-science-trends-analytics-trends.html

• AI for Ukraine is a new educational project from AI HOUSE to support the Ukrainian tech community

  “AI for Ukraine” is a series of workshops and lectures held by international artificial intelligence experts to support the development of Ukraine’s tech community during the war. This is a non-commercial educational project by AI HOUSE – a company focused on building the AI/ML community in Ukraine and is part of the Roosh tech ecosystem.

  https://www.kdnuggets.com/2022/08/ai-house-ai-ukraine-new-educational-project-support-ukrainian-tech-community.html

• Tuning XGBoost Hyperparameters

  Hyperparameter tuning is about finding a set of optimal hyperparameter values which maximizes the model's performance, minimizes loss, and produces better outputs.

  https://www.kdnuggets.com/2022/08/tuning-xgboost-hyperparameters.html

• September 26-30: SIAM Conference on Mathematics of Data Science (Hybrid)

  Join researchers, practitioners, educators, and students from around the world working in industry, government, laboratories, and academia for this thought-provoking conference.

  https://www.kdnuggets.com/2022/08/siam-conference-mathematics-data-science-hybrid.html

• The Difference Between L1 and L2 Regularization

  Two types of regularized regression models are discussed here: Ridge Regression (L2 Regularization), and Lasso Regression (L1 Regularization)

  https://www.kdnuggets.com/2022/08/difference-l1-l2-regularization.html

• The Evolution From Artificial Intelligence to Machine Learning to Data Science

  By the end of this article, you should be able to distinguish between these concepts.

  https://www.kdnuggets.com/2022/08/evolution-artificial-intelligence-machine-learning-data-science.html

• 3 Benefits to A/B Testing (+ Where to Get Started)

  Let’s look at 3 concrete benefits that demonstrate why A/B testing is worth your time and effort. Then learn more about Ronny’s upcoming course, "Accelerating Innovation with A/B Testing."

  https://www.kdnuggets.com/2022/08/sphere-3-benefits-ab-testing-get-started.html

• 6 Ways Businesses Can Benefit From Machine Learning

  Machine learning is gaining popularity rapidly in the business world. Discover the ways that your business can benefit from machine learning.

  https://www.kdnuggets.com/2022/08/6-ways-businesses-benefit-machine-learning.html

• 3 Free Statistics Courses for Data Science

  Statistics is one of the most in-demand data science skills. Master it for free with these online courses.

  https://www.kdnuggets.com/2022/08/3-free-statistics-courses-data-science.html

• Top Posts August 1-7: Most In-demand Artificial Intelligence Skills To Learn In 2022

  Most In-demand Artificial Intelligence Skills To Learn In 2022 • The 5 Hardest Things to Do in SQL • 10 Most Used Tableau Functions • Decision Trees vs Random Forests, Explained • Decision Tree Algorithm, Explained

  https://www.kdnuggets.com/2022/08/top-posts-week-0801-0807.html

• Best Instagram Accounts to Follow for Data Science, Machine Learning & AI

  I have put this blog together to help you figure out what Instagram accounts you should follow to get the best Data Science, Machine Learning, and Artificial Intelligence content.

  https://www.kdnuggets.com/2022/08/best-instagram-accounts-follow-data-science-machine-learning-ai.html

• The Complete Collection of Data Science Projects – Part 1

  The first part covers the list of Programming, Web scraping, Data Analytics, SQL, Business Intelligence, and Time Series projects.

  https://www.kdnuggets.com/2022/08/complete-collection-data-science-projects-part-1.html

• Free AI for Beginners Course

  Microsoft has put together an AI course for beginners, consisting of a 12 week, 24 lesson curriculum, available for free to all.

  https://www.kdnuggets.com/2022/08/free-ai-beginners-course.html

• Machine Learning Is Not Like Your Brain Part 6: The Importance of Precise Synapse Weights and the Ability to Set Them Quickly

  In Part Six, I’ll show how limitations in synapses are even more of a problem. Precise synapse weights and the ability to set them quickly to a specific value are crucial to ML and biological neurons offer neither.

  https://www.kdnuggets.com/2022/08/machine-learning-like-brain-part-6-importance-precise-synapse-weights-ability-set-quickly.html

• Where Does Data Come From?

  In this article, we will go over the top five ways to collect or receive data, whether to help optimize an AI-driven machine or simply forecast future consumer demand.

  https://www.kdnuggets.com/2022/08/data-come.html

• Why Emily Ekdahl chose co:rise to level up her job performance as a machine learning engineer

  Find out what one of the first learners to complete the co:rise Machine Learning Foundations track said about her experience in the track and what she’s tackling next when she recently talked to Julia Stiglitz, co:rise co-founder and CEO.

  https://www.kdnuggets.com/2022/08/corise-emily-ekdahl-chose-corise-level-job-performance-machine-learning-engineer.html

• Most In-demand Artificial Intelligence Skills To Learn In 2022

  Artificial Intelligence (AI) is the process of programming a computer that can reason and learn like a human being and make decisions for itself.

  https://www.kdnuggets.com/2022/08/indemand-artificial-intelligence-skills-learn-2022.html

• How to Deal with Categorical Data for Machine Learning

  Check out this guide to implementing different types of encoding for categorical data, including a cheat sheet on when to use what type.

  https://www.kdnuggets.com/2021/05/deal-with-categorical-data-machine-learning.html

• What are the Assumptions of XGBoost?

  In this article, you will learn: how boosting relates to XGBoost; the features of XGBoost; how it reduces the loss function value and overfitting.

  https://www.kdnuggets.com/2022/08/assumptions-xgboost.html

• Getting Started with SQL Cheatsheet

  Want to get started with SQL? Check out the latest cheatsheet from KDnuggets to get up to speed on the basics of one of the most popular, useful, and in-demand languages in the world of data science.

  https://www.kdnuggets.com/2022/08/getting-started-sql-cheatsheet.html

• A community developing a Hugging Face for customer data modeling

  A year ago, Objectiv started a community of 50 companies to develop a Hugging Face like open-source project for customer data modeling. They key objective: enable building data models on one team/company’s dataset, and then run them seamlessly on another.

  https://www.kdnuggets.com/2022/08/objectiv-community-developing-hugging-face-customer-data-modeling.html

• Full Stack Everything? Organizational Intersections Between Data Science, Dev & Tech

  Breakthrough value is found when teams collaborate at their intersections to come up with innovative solutions.

  https://www.kdnuggets.com/2022/08/full-stack-everything-organizational-intersections-data-science-dev-tech.html

• KDnuggets News, August 3: 10 Most Used Tableau Functions • Is Domain Knowledge Important for Machine Learning?

  10 Most Used Tableau Functions • Is Domain Knowledge Important for Machine Learning? • ETL vs ELT: Data Integration Showdown • Free MLOps Crash Course for Beginners • 90% of Today’s Code is Written to Prevent Failure, and That’s a Problem

  https://www.kdnuggets.com/2022/n31.html

• Preparing for a Data Analyst Interview

  The interview process for the job can sometimes be a bit daunting. However, with the right knowledge and preparation, you can make sure you ace the interview and land your dream job. Read this summary of DataCamp’s full article on how to prepare for a data analyst interview, presenting some of the key points. 

  https://www.kdnuggets.com/2022/08/datacamp-preparing-data-analyst-interview.html

• Trust in AI is Priceless

  Many machine learning models fail to deliver. Sadly, it’s often due to a lack of focus on data quality.

  https://www.kdnuggets.com/2022/08/trust-ai-priceless.html

• Decision Trees vs Random Forests, Explained

  A simple, non-math heavy explanation of two popular tree-based machine learning models.

  https://www.kdnuggets.com/2022/08/decision-trees-random-forests-explained.html

• ETL vs ELT: Data Integration Showdown

  Extract-Transform-Load vs Extract-Load-Transform: Data integration methods used to transfer data from one source to a data warehouse. Their aims are similar, but see how they differ.

  https://www.kdnuggets.com/2022/08/etl-elt-data-integration-showdown.html

• 10 Most Used Tableau Functions

  Learn about the most used string, number, date, logical, and aggregation Tableau functions.

  https://www.kdnuggets.com/2022/08/10-used-tableau-functions.html

• Free MLOps Crash Course for Beginners

  Interest in, and demand for, MLOps is growing exponentially. What, exactly, is it? Why is it important? Where should you turn next to learn more? Check out this crash course to find the answers to these questions and more.

  https://www.kdnuggets.com/2022/08/free-mlops-crash-course.html

• Online Training and Workshops with Nvidia

  Learn about the Nvidia Self-Paced Online Training from their Deep Learning Institute.

  https://www.kdnuggets.com/2022/07/online-training-workshops-nvidia.html

• How ML Model Explainability Accelerates the AI Adoption Journey for Financial Services

  Explainability and good model governance reduce risk and create the framework for ethical and transparent AI in financial services that eliminates bias.

  https://www.kdnuggets.com/2022/07/ml-model-explainability-accelerates-ai-adoption-journey-financial-services.html

• Be prepared to manage the threat with an MS in Cybersecurity from Bay Path University

  Bay Path’s Master’s in Cybersecurity prepares students to step into the workforce and assume immediate responsibility for the management and oversight of such systems.

  https://www.kdnuggets.com/2022/07/baypath-prepared-manage-threat-ms-cybersecurity.html

• What is Text Classification?

  We will define text classification, how it works, some of its most known algorithms, and provide data sets that might help start your text classification journey.

  https://www.kdnuggets.com/2022/07/text-classification.html

• 90% of Today’s Code is Written to Prevent Failure, and That’s a Problem

  Trying to anticipate and defend against these failures is the constant uphill battle that today’s engineers are up against. But it doesn’t have to be.

  https://www.kdnuggets.com/2022/07/90-today-code-written-prevent-failure-problem.html

• K-nearest Neighbors in Scikit-learn

  Learn about the k-nearest neighbours algorithm, one of the most prominent workhorse machine learning algorithms there is, and how to implement it using Scikit-learn in Python.

  https://www.kdnuggets.com/2022/07/knearest-neighbors-scikitlearn.html

• Why Upskilling in Data Vis Matters (& How to Get Started)

  How do you condense the information you collect and present it to decision-makers in a clear, concise, and memorable way? This August, Noah Iliinsky will be opening up an intimate cohort and presenting an online course, Effective and Efficient Data Visualization.

  https://www.kdnuggets.com/2022/07/sphere-upskilling-data-vis-matters.html

• Best Practices for Creating Domain-Specific AI Models

  Here are some best practices and techniques for domain-specific model adaptation that worked for us time and again.

  https://www.kdnuggets.com/2022/07/best-practices-creating-domainspecific-ai-models.html

• Is Domain Knowledge Important for Machine Learning?

  If you incorporate domain knowledge into your architecture and your model, it can make it a lot easier to explain the results, both to yourself and to an outside viewer. Every bit of domain knowledge can serve as a stepping stone through the black box of a machine learning model.

  https://www.kdnuggets.com/2022/07/domain-knowledge-important-machine-learning.html

• KDnuggets News, July 27: The AIoT Revolution: How AI and IoT Are Transforming Our World • Introduction to Hill Climbing Algorithm

  Calculus for Data Science • Real-time Translations with AI • Using Numpy's argmax() • Using the apply() Method with Pandas DataFrames • An Introduction to Hill Climbing Algorithm in AI

  https://www.kdnuggets.com/2022/n30.html

• Detecting Data Drift for Ensuring Production ML Model Quality Using Eurybia

  This article will focus on a step-by-step data drift study using Eurybia an open-source python library

  https://www.kdnuggets.com/2022/07/detecting-data-drift-ensuring-production-ml-model-quality-eurybia.html

• Does the Random Forest Algorithm Need Normalization?

  Normalization is a good technique to use when your data consists of being scaled and your choice of machine learning algorithm does not have the ability to make assumptions on the distribution of your data.

  https://www.kdnuggets.com/2022/07/random-forest-algorithm-need-normalization.html

• Using Scikit-learn’s Imputer

  Learn about Scikit-learn’s SimpleImputer, IterativeImputer, KNNImputer, and machine learning pipelines.

  https://www.kdnuggets.com/2022/07/scikitlearn-imputer.html

• Top Posts July 18-24: Free Python Automation Course

  Free Python Automation Course • Machine Learning Algorithms Explained in Less Than 1 Minute Each • Parallel Processing Large File in Python • 12 Most Challenging Data Science Interview Questions • Decision Tree Algorithm, Explained

  https://www.kdnuggets.com/2022/07/top-posts-week-0718-0724.html

• Practical Deep Learning from fast.ai is Back!

  Looking for a great course to go from machine learning zero to hero quickly? fast.ai has released the latest version of Practical Deep Learning For Coders. And it won't cost you a thing.

  https://www.kdnuggets.com/2022/07/practical-deep-learning-fastai-2022.html

• The AIoT Revolution: How AI and IoT Are Transforming Our World

  The AIoT has the potential to transform industries and society, and it is already starting to have an impact. This article will explore the principles of AIoT, its benefits, and its current use.

  https://www.kdnuggets.com/2022/07/aiot-revolution-ai-iot-transforming-world.html

• The Difficulty of Estimating the Carbon Footprint of Machine Learning

  Is machine learning killing the planet? Probably not, but let's make sure it doesn't.

  https://www.kdnuggets.com/2022/07/difficulty-estimating-carbon-footprint-machine-learning.html

• Benefits Of Becoming A Data-First Enterprise

  Data is everywhere but only data is not sufficient to reap the benefits that come with it. It needs to be organized to enable the organizations to make more informed business decisions. In this article, we will learn what are the various benefits of being a data-first enterprise and using the data in developing a business intelligence solution.

  https://www.kdnuggets.com/2022/07/benefits-becoming-datafirst-enterprise.html

• An Introduction to Hill Climbing Algorithm in AI

  Hill climbing is basically a search technique or informed search technique having different weights based on real numbers assigned to different nodes, branches, and goals in a path.

  https://www.kdnuggets.com/2022/07/introduction-hill-climbing-algorithm-ai.html

• Using the apply() Method with Pandas Dataframes

  Explore ways in which you can use apply () method to do different activities in a DataFrame.

  https://www.kdnuggets.com/2022/07/apply-method-pandas-dataframes.html

• Using Numpy’s argmax()

  A simple overview of using an often-misunderstood yet useful function in Python: Numpy's argmax(). Read the what, the how, and the why of argmax() here.

  https://www.kdnuggets.com/2022/07/using-numpy-argmax.html

• Real-time Translations with AI

  Language is now less of a barrier than it was in earlier days and the concept of real-time translation is no longer a fantasy with AI. Learn more!

  https://www.kdnuggets.com/2022/07/realtime-translations-ai.html

• Calculus for Data Science

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

  https://www.kdnuggets.com/2022/07/calculus-data-science.html

• KDnuggets News, July 20: Machine Learning Algorithms Explained in Less Than 1 Minute Each; Parallel Processing Large File in Python

  Machine Learning Algorithms Explained in Less Than 1 Minute Each; Parallel Processing Large File in Python; Free Python Automation Course; How Does Logistic Regression Work?; 12 Most Challenging Data Science Interview Questions

  https://www.kdnuggets.com/2022/n29.html

• 5 Project Ideas to Stay Up-To-Date as a Data Scientist

  The skills you have need maintenance and occasional updates. Doing an interesting data science project is what will keep you from getting rusty.

  https://www.kdnuggets.com/2022/07/5-project-ideas-stay-uptodate-data-scientist.html

• The Evolution of Apache Druid

  And so true to the origins of its name, Apache Druid is shapeshifting - with the addition of a new multi-stage query engine.

  https://www.kdnuggets.com/2022/07/evolution-apache-druid.html

• Hone Your Data Skills With Free Access to DataCamp

  DataCamp has launched their Free Week, running now through to 11.59 pm ET on 24 July. For this whole week, anyone, anywhere, and anytime can have unlimited access to their site. Try it out now!

  https://www.kdnuggets.com/2022/07/datacamp-hone-data-skills-free-access-datacamp.html

• When Would Ensemble Techniques be a Good Choice?

  When would ensemble techniques be a good choice? When you want to improve the performance of machine learning models - it’s that simple.

  https://www.kdnuggets.com/2022/07/would-ensemble-techniques-good-choice.html

• 12 Most Challenging Data Science Interview Questions

  The simple but tricky data science questions that most people struggle to answer.

  https://www.kdnuggets.com/2022/07/12-challenging-data-science-interview-questions.html

• Free Python Automation Course

  Who wants to do boring stuff? Learn to automate the mundane with Python thanks to this free course. Set it and forget it!

  https://www.kdnuggets.com/2022/07/free-automate-python-course.html

• How Does Logistic Regression Work?

  Logistic regression is a machine learning classification algorithm that is used to predict the probability of certain classes based on some dependent variables

  https://www.kdnuggets.com/2022/07/logistic-regression-work.html

• Why SQL Will Remain the Data Scientist’s Best Friend

  Machine learning, big data analytics or AI may steal the headlines, but if you want to hone a smart, strategic skill that can elevate your career, look no further than SQL.

  https://www.kdnuggets.com/2022/07/sql-remain-data-scientist-best-friend.html

• The 5 Best Places To Host Your Data Science Portfolio

  How can you showcase your data scientist skills and abilities? The answer to this question is online platforms where you can publish your portfolio and seize opportunities.

  https://www.kdnuggets.com/2022/07/5-best-places-host-data-science-portfolio.html

• Machine Learning Is Not Like Your Brain Part 5: Biological Neurons Can’t Do Summation of Inputs

  See why biological neurons can’t do the most fundamental process of the artificial perceptron, the summation of inputs.

  https://www.kdnuggets.com/2022/07/machine-learning-like-brain-part-5-biological-neurons-cant-summation-inputs.html

• MLOps: The Key To Pushing AI Into The Mainstream

  In this blog, we will aim at discussing the reasons that make MLOps an essential aspect of pushing AI mainstream. Besides, we will highlight the capabilities of MLOps as a catalyst for AI implementation.

  https://www.kdnuggets.com/2022/07/mlops-key-pushing-ai-mainstream.html

• Free Artificial Intelligence And Deep Learning Crash Course

  Deep learning forms the backbone of modern day artificial intelligence. Learn more about the important aspects of this connection with this freely available course.

  https://www.kdnuggets.com/2022/07/free-artificial-intelligence-deep-learning-crash-course.html

• KDnuggets News, July 13: Linear Algebra for Data Science; 10 Modern Data Engineering Tools

  Linear Algebra for Data Science; 10 Modern Data Engineering Tools; Python String Processing Cheatsheet; Simple Salary Guide for Tech Experts 2022; 16 Essential DVC Commands for Data Science

  https://www.kdnuggets.com/2022/n28.html

• 3 things you didn’t know about the SAS Academy for Data Science

  The SAS Academy for Data Science is one of many paths to becoming a data scientist. It is designed for those who have a background in programming and mathematics, who want to upskill as part of a career change or those who want to gain the hands-on practical skills that can advance your professional growth and experience with SAS and data science.

  https://www.kdnuggets.com/2022/07/sas-3-things-didnt-know-sas-academy-data-science.html

• How to Convert an RGB Image to Grayscale

  This post is about working with a mixture of color and grayscale images and needing to transform them into a uniform format - all grayscale. We'll be working in Python using the Pillow, Numpy, and Matplotlib packages.

  https://www.kdnuggets.com/2019/12/convert-rgb-image-grayscale.html

• Data Preparation and Raw Data in Machine Learning

  In this article, I will describe the data preparation techniques for machine learning.

  https://www.kdnuggets.com/2022/07/data-preparation-raw-data-machine-learning.html

• Linear Algebra for Data Science

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

  https://www.kdnuggets.com/2022/07/linear-algebra-data-science.html

• Python String Processing Cheatsheet

  Try this string processing primer cheatsheet to gain an understanding of using Python to manipulate and process strings at a basic level.

  https://www.kdnuggets.com/2020/01/python-string-processing-primer.html

• Why Use k-fold Cross Validation?

  Generalizing things is easy for us humans, however, it can be challenging for Machine Learning models. This is where Cross-Validation comes into the picture.

  https://www.kdnuggets.com/2022/07/kfold-cross-validation.html

• 10 Modern Data Engineering Tools

  Learn about the modern tools for data orchestration, data storage, analytical engineering, batch processing, and data streaming.

  https://www.kdnuggets.com/2022/07/10-modern-data-engineering-tools.html

• Bounding Box Deep Learning: The Future of Video Annotation

  Bounding box deep learning has several benefits that make it well-suited for video annotation.

  https://www.kdnuggets.com/2022/07/bounding-box-deep-learning-future-video-annotation.html

• Boosting Machine Learning Algorithms: An Overview

  The combination of several machine learning algorithms is referred to as ensemble learning. There are several ensemble learning techniques. In this article, we will focus on boosting.

  https://www.kdnuggets.com/2022/07/boosting-machine-learning-algorithms-overview.html

• 16 Essential DVC Commands for Data Science

  Learn essential DVC commands to version large datasets and track and manage the machine learning experiments.

  https://www.kdnuggets.com/2022/07/16-essential-dvc-commands-data-science.html

• High-Fidelity Synthetic Data for Data Engineers and Data Scientists Alike

  Take advantage of your existing data whether it be for testing, training ML models, or unlocking data analysis. Answer nuanced scientific questions, enable better testing, and support business decisions with the synthetic data that looks, feels, and behaves like your production data - because it’s made from your production data.

  https://www.kdnuggets.com/2022/tonic-high-fidelity-synthetic-data-engineers-scientists-alike.html

• Ten Key Lessons of Implementing Recommendation Systems in Business

  We've been long working on improving the user experience in UGC products with machine learning. Following this article's advice, you will avoid a lot of mistakes when creating a recommendation system, and it will help to build a really good product.

  https://www.kdnuggets.com/2022/07/ten-key-lessons-implementing-recommendation-systems-business.html

• Hidden Technical Debts Every AI Practitioner Should be Aware of

  Coming to think of technical debt in ML systems leads to the additional overhead of ML-related issues on top of typical software engineering issues.

  https://www.kdnuggets.com/2022/07/hidden-technical-debts-every-ai-practitioner-aware.html

• N-gram Language Modeling in Natural Language Processing

  N-gram is a sequence of n words in the modeling of NLP. How can this technique be useful in language modeling?

  https://www.kdnuggets.com/2022/06/ngram-language-modeling-natural-language-processing.html

• Simple Salary Guide for Tech Experts 2022

  Looking for a straightforward guide to tech title salaries? Look no further!

  https://www.kdnuggets.com/2022/07/simple-salary-guide-tech-experts-2022.html

• KDnuggets News, July 6: 12 Essential Data Science VSCode Extensions; Statistics and Probability for Data Science

  12 Essential VSCode Extensions for Data Science; Statistics and Probability for Data Science; Free Python Crash Course; Linear Machine Learning Algorithms: An Overview; 7 Steps to Mastering Python for Data Science

  https://www.kdnuggets.com/2022/n27.html

• Data Preparation in R Cheatsheet

  Leverage the powerful data wrangling tools in R’s dplyr to clean and prepare your data.

  https://www.kdnuggets.com/2021/10/data-preparation-r-dplyr-cheat-sheet.html

• Developing an Open Standard for Analytics Tracking

  Striving for a new generic way to structure analytics data, so models built on one data set can be deployed and run on another.

  https://www.kdnuggets.com/2022/07/developing-open-standard-analytics-tracking.html

• Linear Regression for Data Science

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

  https://www.kdnuggets.com/2022/07/linear-regression-data-science.html

• Top Posts June 27 – July 3: Statistics and Probability for Data Science

  Also: Decision Tree Algorithm, Explained; 20 Basic Linux Commands for Data Science Beginners; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know

  https://www.kdnuggets.com/2022/07/top-posts-week-0627-0703.html

• Free Python Crash Course

  Python is the most popular programming language in the world. Master it with this free crash course.

  https://www.kdnuggets.com/2022/07/free-python-crash-course.html

• Machine Learning Model Management

  The tools used in the development cycle for Machine Learning and the managing of the models require MLOps - Machine Learning Operations.

  https://www.kdnuggets.com/2022/07/machine-learning-model-management.html

• 12 Essential VSCode Extensions for Data Science

  Learn about the data science VSCode extensions for super productivity and better user experience.

  https://www.kdnuggets.com/2022/07/12-essential-vscode-extensions-data-science.html

• Celebrating Women in Leadership Roles in the Tech Industry

  The technology industry, specifically, has been continuing to close the gender gap.

  https://www.kdnuggets.com/2022/07/celebrating-women-leadership-roles-tech-industry.html

• Linear Machine Learning Algorithms: An Overview

  In this article, we’ll discuss several linear algorithms and their concepts.

  https://www.kdnuggets.com/2022/07/linear-machine-learning-algorithms-overview.html

• 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