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• 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

• Top Posts April 25 – May 1: 15 Python Coding Interview Questions You Must Know For Data Science

  Also: Decision Tree Algorithm, Explained; Naïve Bayes Algorithm: Everything You Need to Know; Top Programming Languages and Their Uses; 5 Different Ways to Load Data in Python

  https://www.kdnuggets.com/2022/05/top-posts-week-0425-0501.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

• 9 Free Harvard Courses to Learn Data Science in 2022

  Learn Python programming, statistics, and machine learning online from one of the world’s top universities.

  https://www.kdnuggets.com/2022/05/9-free-harvard-courses-learn-data-science-2022.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

• Connecting the Knowledge Ecosystem

  We’re proud to announce that the 4th annual Knowledge Graph Conference is taking place on May 2-6 at Cornell Tech, NYC and virtually on Airmeet.

  https://www.kdnuggets.com/2022/knowledge-graph-connecting-knowledge-ecosystem.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 Posts April 18-24: Decision Tree Algorithm, Explained

  Also: Top YouTube Channels for Learning Data Science; Naïve Bayes Algorithm: Everything You Need to Know; Top Programming Languages and Their Uses; A Brief Introduction to Papers With Code

  https://www.kdnuggets.com/2022/04/top-posts-week-0418-0424.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

• AI Governance: Trends in Regulation, Soft Governance, and Industry Initiatives

  Are you ready for where AI is going? Get the latest on AI regulation and governance from two experts. Join this live webinar on May 5th at 9AM Pacific/Noon Eastern Time.

  https://www.kdnuggets.com/2022/04/truera-ai-governance-trends-regulation-soft-governance-industry-initiatives.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

• Join Cassie Kozyrkov, Jim Swanson, Linda Avery & other data science leaders at Rev 3

  Meet Cassie Kozyrkov — Chief Decision Scientist at Google and the latest addition to the epic speaker lineup at Rev. Use promo code “KDN” for 50% off!

  https://www.kdnuggets.com/2022/04/domino-join-data-science-leaders-rev-3.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

• 5 Different Ways to Load Data in Python

  Data is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial. Here, five Python techniques to bring in your data are reviewed with code examples for you to follow.

  https://www.kdnuggets.com/2020/08/5-different-ways-load-data-python.html

• How to Write Engaging Technical Blogs

  Learn the rules for writing technical blogs, and increase unique views tenfold. Focusing on title, images, vocabulary, code blocks, writing style, and social media promotion can help you build a solid brand.

  https://www.kdnuggets.com/2022/04/write-engaging-technical-blogs.html

• With Data Privacy learn to implement technical privacy solutions and tools at scale

  Data Privacy: A runbook for engineers, teaches you to implement technical privacy solutions and tools at scale. Master methods that can be instantly applied to almost any system, and rapidly improve your user privacy saving time and resource costs!

  https://www.kdnuggets.com/2022/04/manning-data-privacy-learn-implement-technical-privacy-solutions-tools-scale.html

• Data Science Interview Guide – Part 2: Interview Resources

  Check out these resources to help you prepare for your data science Interview, or for those who are brushing up on their technical skills or who want to start learning data science.

  https://www.kdnuggets.com/2022/04/data-science-interview-guide-part-2-interview-resources.html

• Answering Questions with HuggingFace Pipelines and Streamlit

  See how easy it can be to build a simple web app for question answering from text using Streamlit and HuggingFace pipelines.

  https://www.kdnuggets.com/2021/10/simple-question-answering-web-app-hugging-face-pipelines.html

• How to Ace Data Science Assessment Test by Using Automatic EDA Tools

  By using a few lines of code, you can understand key aspects of a given dataset. These tools have helped me answer business-related questions during the data assessment test by Alooba.

  https://www.kdnuggets.com/2022/04/ace-data-science-assessment-test-automatic-eda-tools.html

• Launch your career with a Northwestern data science degree

  Build the essential technical, analytical, and leadership skills needed for careers in today's data-driven world in Northwestern’s Master of Science in Data Science program.

  https://www.kdnuggets.com/2022/04/nwu-launch-career-northwestern-data-science-degree.html

• 5 Things That Set a Data Scientist Apart From Other Professions

  Here are five things that help set the data scientist apart from other professions.

  https://www.kdnuggets.com/2021/11/5-things-set-data-scientist-apart-other-professions.html

• Data Visualization in Python with Seaborn

  Learn to create beautiful charts in Python using the Seaborn library.

  https://www.kdnuggets.com/2022/04/data-visualization-python-seaborn.html

• How to Start Using Natural Language Processing With PyTorch

  In this guide, we will address some of the obvious questions that may arise when starting to dive into natural language processing, but we will also engage with deeper questions and give you the right steps to get started working on your own NLP programs.

  https://www.kdnuggets.com/2022/04/start-natural-language-processing-pytorch.html

• KDnuggets News, April 13: Python Libraries Data Scientists Should Know in 2022; Naïve Bayes Algorithm: Everything You Need to Know

  Python Libraries Data Scientists Should Know in 2022; Naïve Bayes Algorithm: Everything You Need to Know; Data Ingestion with Pandas: A Beginner Tutorial; Data Science Interview Guide - Part 1: The Structure; 5 Ways to Expand Your Knowledge in Data Science Beyond Online Courses

  https://www.kdnuggets.com/2022/n15.html

• Driving Better Business Decisions

  Analytics-magazine.org and the monthly Analytics eNewsletter deliver the latest information on the impact and role analytics plays in business decision-making. Get in-depth knowledge on the trends that are shaping the future of advanced analytics, data science, AI, machine learning, operation research, and more.

  https://www.kdnuggets.com/2022/04/informs-driving-better-business-decisions.html

• Top Posts April 4-10: The Complete Collection Of Data Repositories – Part 1

  Also: Decision Tree Algorithm, Explained; 8 Free MIT Courses to Learn Data Science Online; Why Are So Many Data Scientists Quitting Their Jobs?; Top Programming Languages and Their Uses

  https://www.kdnuggets.com/2022/04/top-posts-week-0404-0410.html

• Nearest Neighbors for Classification

  Learn about the K-Nearest Neighbors machine learning algorithm for classification.

  https://www.kdnuggets.com/2022/04/nearest-neighbors-classification.html

• Top 5 Reasons Why You Should Avoid a Data Science Career

  The intent of this article is to give you a reality check of what are the personality traits of a typical data scientist before you dip your feet in the ocean of the big shiny world of data science.

  https://www.kdnuggets.com/2022/04/top-5-reasons-avoid-data-science-career.html

• Summarization with GPT-3

  GPT-3 models are quite convincing and represent the rising power of Cloud AI. Read this excerpt from the book Transformers for Natural Language Processing, Second Edition to see how easy getting started with summarization with GPT-3 can be.

  https://www.kdnuggets.com/2022/04/packt-summarization-gpt3.html

• Python Libraries Data Scientists Should Know in 2022

  Let’s have a look at the Python libraries that every data scientist should know in 2022, to maintain and improve their coding journey.

  https://www.kdnuggets.com/2022/04/python-libraries-data-scientists-know-2022.html

• The Complete Collection Of Data Repositories – Part 2

  Check out the collection of the best data repositories on healthcare, natural language, neuroscience, physics, social network, sports, time series, transportation, miscellaneous, and super data repositories.

  https://www.kdnuggets.com/2022/04/complete-collection-data-repositories-part-2.html

• A Quick Guide to Find the Right Minds for Annotation

  Let's look through the points below for useful tips on how to choose the proper outsourcing partner to handle the labeling for your next AI model.

  https://www.kdnuggets.com/2022/04/quick-guide-find-right-minds-annotation.html

• Naïve Bayes Algorithm: Everything You Need to Know

  Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.

  https://www.kdnuggets.com/2020/06/naive-bayes-algorithm-everything.html

• Low Code: Are Developers Still Needed?

  Have low-code solutions subverted the need for developers? Are experienced software developers going the way of the dodo? Read on to find out.

  https://www.kdnuggets.com/2022/04/low-code-developers-still-needed.html

• 15 Trending MLOps Talks You can Access for Free at ODSC East 2022

  Covering topics like workflows and full-stack machine learning, these are 15 free MLOps talks coming to #ODSCEast 2022 that you can see with a free Bronze Pass.

  https://www.kdnuggets.com/2022/04/odsc-15-trending-mlops-talks-access-free-odsc-east-2022.html

• Data Science Interview Guide – Part 1: The Structure

  According to one source, the types of questions that will generally be asked in data scientist interviews can be broken down into five categories. Let's take a closer look.

  https://www.kdnuggets.com/2022/04/data-science-interview-guide-part-1-structure.html

• 5 Ways to Expand Your Knowledge in Data Science Beyond Online Courses

  Let's have a look at ways we can expand our data science knowledge that go beyond online courses.

  https://www.kdnuggets.com/2022/04/5-ways-expand-knowledge-data-science-beyond-online-courses.html

• Neural Network Optimization with AIMET

  Using AIMET, developers can incorporate advanced model compression and quantization algorithms into their PyTorch and TensorFlow model-building pipelines for automated post-training optimization, as well as for model fine-tuning.

  https://www.kdnuggets.com/2022/04/qualcomm-neural-network-optimization-aimet.html

• Data Ingestion with Pandas: A Beginner Tutorial

  Learn tricks on importing various data formats using Pandas with a few lines of code. We will be learning to import SQL databases, Excel sheets, HTML tables, CSV, and JSON files with examples.

  https://www.kdnuggets.com/2022/04/data-ingestion-pandas-beginner-tutorial.html

• 4 Factors to Identify Machine Learning Solvable Problems

  The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.

  https://www.kdnuggets.com/2022/04/4-factors-identify-machine-learning-solvable-problems.html

• KDnuggets News, April 6: 8 Free MIT Courses to Learn Data Science Online; The Complete Collection Of Data Repositories – Part 1

  8 Free MIT Courses to Learn Data Science Online; The Complete Collection Of Data Repositories - Part 1; DBSCAN Clustering Algorithm in Machine Learning; Introductory Pandas Tutorial; People Management for AI: Building High-Velocity AI Teams

  https://www.kdnuggets.com/2022/n14.html

• Top Posts March 28 – April 3: Why Are So Many Data Scientists Quitting Their Jobs?

  Also: Decision Tree Algorithm, Explained; 8 Free MIT Courses to Learn Data Science Online; The Most Popular Intro to Programming Course From Harvard is Free!; Top Programming Languages and Their Uses

  https://www.kdnuggets.com/2022/04/top-posts-week-0328-0403.html

• Uncertainty Quantification in Artificial Intelligence-based Systems

  The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain.

  https://www.kdnuggets.com/2022/04/uncertainty-quantification-artificial-intelligencebased-systems.html

• SQL Window Functions

  In this article, we’ll go over SQL window functions and how to use them when writing SQL queries.

  https://www.kdnuggets.com/2022/04/sql-window-functions.html

• Logistic Regression for Classification

  Deep dive into Logistic Regression with practical examples.

  https://www.kdnuggets.com/2022/04/logistic-regression-classification.html

• DBSCAN Clustering Algorithm in Machine Learning

  An introduction to the DBSCAN algorithm and its implementation in Python.

  https://www.kdnuggets.com/2020/04/dbscan-clustering-algorithm-machine-learning.html

• The Complete Collection Of Data Repositories – Part 1

  Check out the collection of the best data repositories on agriculture, audio, biology, climate, computer vision, economics, education, energy, finance, and government.

  https://www.kdnuggets.com/2022/04/complete-collection-data-repositories-part-1.html

• How to Design Experiments for Data Collection

  Several factors must be taken into consideration when designing experiments for data collection.

  https://www.kdnuggets.com/2022/04/design-experiments-data-collection.html

• What is an MLOps Engineer?

  And why you should consider becoming one.

  https://www.kdnuggets.com/2022/03/mlops-engineer.html

• Connect With the Data Science Community at Rev 3 in NYC, the #1 MLOps Conference

  The most ambitious Enterprise MLOps conference is coming to New York City on May 5-6, bringing the data science community together in-person for a one-of-a-kind event. This year, you’ll hear from 30+ speakers across dozens of industries. Save 50% with the promo code KDN. Register now!

  https://www.kdnuggets.com/2022/03/domino-connect-data-science-community-nyc-mlops-conference.html

• A Bug That Can Make You a Data Science Hero

  What if I tell you that there is a bug that can take you on a ride in the world of data science. Yes, if you have the bug of curiosity, consider yourself the best fit for the data science profession.

  https://www.kdnuggets.com/2022/03/bug-make-data-science-hero.html

• Machine Learning Pipeline Optimization with TPOT

  Let's revisit the automated machine learning project TPOT, and get back up to speed on using open source AutoML tools on our way to building a fully-automated prediction pipeline.

  https://www.kdnuggets.com/2021/05/machine-learning-pipeline-optimization-tpot.html

• Loss Functions: An Explainer

  A loss function measures how wrong the model is in terms of its ability to estimate the relationship between x and y. Find out about several common loss functions here.

  https://www.kdnuggets.com/2022/03/loss-functions-explainer.html

• Introductory Pandas Tutorial

  A gentle introduction to data analysis with Pandas.

  https://www.kdnuggets.com/2022/03/introductory-pandas-tutorial.html

• Accelerating Distributed AI Applications

  Let’s take a quick look at some of the key highlights and insights from a recent webinar, Accelerating Distributed AI Applications, with Ziad Asghar, Vice President, Product Management, Qualcomm Technologies, Inc. and resources that developers can use to build distributed AI solutions today.

  https://www.kdnuggets.com/2022/03/qualcomm-accelerating-distributed-ai-applications.html

• People Management for AI: Building High-Velocity AI Teams

  Practical advice for managers and directors who are looking to build AI/ML teams.

  https://www.kdnuggets.com/2022/03/people-management-ai-building-highvelocity-ai-teams.html

• 8 Free MIT Courses to Learn Data Science Online

  Create a data science learning path with courses from the world’s most prestigious university.

  https://www.kdnuggets.com/2022/03/8-free-mit-courses-learn-data-science-online.html

• KDnuggets News March 30: The Most Popular Intro to Programming Course From Harvard is Free!; Top 13 Skills That Every Data Scientist Should Have

  The Most Popular Intro to Programming Course From Harvard is Free!; Top 13 Skills That Every Data Scientist Should Have; Junior vs Senior Data Scientist Salary: What’s the Difference?; MLOps Is a Mess But That's to be Expected; Data Science at the Command Line: The Free eBook

  https://www.kdnuggets.com/2022/n13.html

• Machine Learning Textbook: Stochastic Processes and Simulations

  The 100 page book on stochastic processes. Published in 2022. This off-the-beaten-path machine learning tutorial is designed for busy professionals, researchers and students eager to learn and apply methods ranging from simple to advanced, in a minimum amount of time. Offered with data sets, source code, videos, spreadsheets and solved exercises.

  https://www.kdnuggets.com/2022/03/datashaping-machine-learning-textbook-stochastic-processes-simulations.html

• What’s the Difference Between Data Analysts and Data Scientists?

  This article will help you understand what data analysts and data scientists do with data in detail.

  https://www.kdnuggets.com/2022/03/difference-data-analysts-data-scientists.html

• Time Series Forecasting with Ploomber, Arima, Python, and Slurm

  In this blog you will see how the authors took a raw .ipynb notebook that does time series forecasting with Arima, modularized it into a Ploomber pipeline, and ran parallel jobs on Slurm.

  https://www.kdnuggets.com/2022/03/time-series-forecasting-ploomber-arima-python-slurm.html

• Top Posts March 21-27: Why Are So Many Data Scientists Quitting Their Jobs?

  Also: Decision Tree Algorithm, Explained; Linear vs Logistic Regression: A Succinct Explanation; Best Data Science Books for Beginners; Top Programming Languages and Their Uses

  https://www.kdnuggets.com/2022/03/top-posts-week-0321-0327.html

• Data Science at the Command Line: The Free eBook

  If you are familiar with Python & R, then improve your current data science workflow by integrating Unix power tools.

  https://www.kdnuggets.com/2022/03/data-science-command-line-free-ebook.html

• Top 13 Skills That Every Data Scientist Should Have

  Let me walk you through the top 13 data science skills that you should have to become a successful data scientist. Following this outline, you’ll have a great path of digestible steps to educate yourself and be prepared to apply for data scientist positions.

  https://www.kdnuggets.com/2022/03/top-13-skills-every-data-scientist.html

• MLOps Is a Mess But That’s to be Expected

  In this post, I want to focus the discussion about the state of machine learning operations (MLOps) today, where we are, where we are going.

  https://www.kdnuggets.com/2022/03/mlops-mess-expected.html

• GitHub Copilot Open Source Alternatives

  GitHub's Copilot code generation tool is currently only available via approved request. Here are 4 Copilot alternatives that you can use in your programming today.

  https://www.kdnuggets.com/2021/07/github-copilot-open-source-alternatives-code-generation.html

• The Range of NLP Applications in the Real World: A Different Solution To Each Problem

  Most companies look at it like it’s one big technology, and assume the vendors’ offerings might differ in product quality and price but ultimately be largely the same. Truth is, NLP is not one thing; it’s not one tool, but rather a toolbox.

  https://www.kdnuggets.com/2022/03/different-solution-problem-range-nlp-applications-real-world.html

• Your NVIDIA Systems Just Got Faster

  NVIDIA introduces over 60 updates to its CUDA-X libraries, tools and technologies.

  https://www.kdnuggets.com/2022/03/nvidia-systems-got-faster.html

• Junior vs Senior Data Scientist Salary: What’s the Difference?

  Check out this US salary deep dive for 2022 career decisions, work, & interests.

  https://www.kdnuggets.com/2022/03/junior-senior-data-scientist-salary-difference.html

• WTF is a Tensor?!?

  A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice.

  https://www.kdnuggets.com/2018/05/wtf-tensor.html

• 5 Reasons to Reconnect at ODSC East 2022

  ODSC East is less than a month away - here are five reasons why you should attend, such as learning about trending topics, amazing Keynotes, and the AI Expo Hall.

  https://www.kdnuggets.com/2022/03/odsc-5-reasons-reconnect-odsc-east-2022.html

• A New Way of Managing Deep Learning Datasets

  Create, version-control, query, and visualize image, audio, and video datasets using Hub 2.0 by Activeloop.

  https://www.kdnuggets.com/2022/03/new-way-managing-deep-learning-datasets.html

• The Most Popular Intro to Programming Course From Harvard is Free!

  CS50's Introduction to Computer Science has the highest enrollment on Harvard's campus... and is free to anyone interested in taking it!

  https://www.kdnuggets.com/2022/03/popular-intro-programming-course-harvard-free.html

• Risk Management Framework for AI/ML Models

  How sound risk management acts as a catalyst to building successful AI/ML models.

  https://www.kdnuggets.com/2022/03/risk-management-framework-aiml-models.html

• KDnuggets News 22:n12, March 23: Best Data Science Books for Beginners; Linear vs Logistic Regression: A Succinct Explanation

  Best Data Science Books for Beginners; Linear vs Logistic Regression: A Succinct Explanation; Why Are So Many Data Scientists Quitting Their Jobs?; Feature Stores for Real-time AI & Machine Learning; How to Generate Tabular Synthetic Dataset

  https://www.kdnuggets.com/2022/n12.html

• Ready for #2022Analytics in Houston? The Networking, Connections, and Celebration You Do Not Want to Miss

  Register for the in-person 2022 INFORMS Business Analytics Conference in Houston, TX on April 3-5. Gain access to more than 100 speakers across 18 unique tracks, and countless opportunities, both formal and informal, to make lasting connections with fellow attendees and take that next significant step in your analytics career.

  https://www.kdnuggets.com/2022/03/informs-2022analytics-houston-networking-connections-celebration.html

• Data-Centric AI: Is it Real? For Everyone? Are We Ready?

  Check out this deep dive into Data-Centric AI.

  https://www.kdnuggets.com/2022/03/data-centric-ai-real-everyone-ready.html

• DIY Automated Machine Learning with Streamlit

  In this article, we will create an automated machine learning web app you can actually use.

  https://www.kdnuggets.com/2021/11/diy-automated-machine-learning-app.html

• A Guide On How To Become A Data Scientist (Step By Step Approach)

  Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work. To guide your journey, the skills outlined here are the first you must acquire to become a data scientist.

  https://www.kdnuggets.com/2021/05/guide-become-data-scientist.html

• KDnuggets Top Posts for February 2022: The Complete Collection of Data Science Cheat Sheets

  Also: 7 Steps to Mastering Machine Learning with Python; How to Learn Math for Machine Learning; The Not-so-Sexy SQL Concepts to Make You Stand Out; and more!

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

• Top Posts Mar 14-20: Decision Tree Algorithm, Explained

  Also: Best Data Science Books for Beginners; The Complete Collection of Data Science Cheat Sheets – Part 1; Top Programming Languages and Their Uses; The Complete Collection of Data Science Cheat Sheets – Part 2

  https://www.kdnuggets.com/2022/03/top-posts-week-0314-0320.html

• Linear vs Logistic Regression: A Succinct Explanation

  Linear Regression and Logistic Regression are two well-used Machine Learning Algorithms that both branch off from Supervised Learning. Linear Regression is used to solve Regression problems whereas Logistic Regression is used to solve Classification problems. Read more here.

  https://www.kdnuggets.com/2022/03/linear-logistic-regression-succinct-explanation.html

• Why Are So Many Data Scientists Quitting Their Jobs?

  After speaking to co-workers in the data industry who like me, had left their jobs at a very early stage in their career, I’ve come to realize that there are two main reasons the data science field has such a high employee attrition rate.

  https://www.kdnuggets.com/2022/03/many-data-scientists-quitting-jobs.html

• Use third-party data to increase user engagement and deliver business outcomes

  Join this webinar and learn how competitive companies utilize third-party data, enhancing mobile customer experiences, through personalization and localization.

  https://www.kdnuggets.com/2022/03/roidna-third-party-data-user-engagement-business-outcomes.html

• Building a Geospatial Application in Python with Google Earth Engine and Greppo

  In this blog, you will see how to build a web-application with Greppo and Google Earth using Python.

  https://www.kdnuggets.com/2022/03/building-geospatial-application-python-google-earth-engine-greppo.html

• Feature Stores for Real-time AI & Machine Learning

  Real-time AI/ML is on the rise and feature stores are key to successfully deploying them. Read on to see how the choice of online store and the feature store architecture play important roles in determining its performance and cost.

  https://www.kdnuggets.com/2022/03/feature-stores-realtime-ai-machine-learning.html

• Top AI and Data Science Tools and Techniques for 2022 and Beyond

  How will AI and data science impact the world of business in the next decade? Find out what trends to look out for in 2022 and beyond at NVIDIA GTC.

  https://www.kdnuggets.com/2022/03/nvidia-0317-top-ai-data-science-tools-techniques-2022-beyond.html