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    Found 13231 documents, 12960 searched:

  • How to Generate Synthetic Tabular Dataset

    Check out this article on using CTGANs to create synthetic datasets for reducing privacy risks, training and testing machine learning models, and developing data-centric AI products.

    https://www.kdnuggets.com/2022/03/generate-tabular-synthetic-dataset.html

  • From Google Colab to a Ploomber Pipeline: ML at Scale with GPUs

    In this short blog, we’ll review the process of taking a POC data science pipeline (ML/Deep learning/NLP) that was conducted on Google Colab, and transforming it into a pipeline that can run parallel at scale and works with Git so the team can collaborate on.

    https://www.kdnuggets.com/2022/03/google-colab-ploomber-pipeline-ml-scale-gpus.html

  • On-device AI with Developer-Ready Software Stacks

    Still running your artificial intelligence workloads in the cloud? If your applications depend on techniques like person detection and pose estimation to name a few, then it’s time you looked into on-device AI.

    https://www.kdnuggets.com/2022/03/qualcomm-ondevice-ai-developer-ready-software-stacks.html

  • Kubernetes In Action: Second Edition

    Deep dive into Kubernetes, the essential tool for anyone deploying and managing cloud-native applications!

    https://www.kdnuggets.com/2022/03/manning-kubernetes-action-second-edition.html

  • Best Data Science Books for Beginners

    KDnuggets Top Blog The best knowledge is still placed in the libraries; within books. In this article, discover some of the top recommended Data Science books catering to beginners.

    https://www.kdnuggets.com/2022/03/best-data-science-books-beginners.html

  • AI-Generated Sports Highlights: Different Approaches

    Competition for viewers’ attention is not over after the players leave the field. Now, anyone who can put up a highlight compilation or a game summarization first gets the edge. So, let’s talk about how media companies do just that — with the help of Artificial Intelligence.

    https://www.kdnuggets.com/2022/03/aigenerated-sports-highlights-different-approaches.html

  • How to Manage Multiple Inheritance in Python

    In this guide, we'll learn how to use multiple inheritance in Python and make it sustainable.

    https://www.kdnuggets.com/2022/03/manage-multiple-inheritance-python.html

  • KDnuggets News March 16, 2022: Learn Data Science Fundamentals & 5 Steps to Become a Data Scientist

    How Long Does It Take to Learn Data Science Fundamentals?; Become a Data Science Professional in Five Steps; New Ways of Sharing Code Blocks for Data Scientists; Machine Learning Algorithms for Classification; The Significance of Data Quality in Making a Successful Machine Learning Model

    https://www.kdnuggets.com/2022/n11.html

  • Top Posts Mar 7-13: Build a Machine Learning Web App in 5 Minutes

    Also: Decision Tree Algorithm, Explained; The Complete Collection of Data Science Cheat Sheets – Part 2; Top Programming Languages and Their Uses; The Complete Collection of Data Science Cheat Sheets – Part 1

    https://www.kdnuggets.com/2022/03/top-posts-week-0307-0313.html

  • Why Do Most People Fail to Learn Programming?

    Have you spent hours taking coding bootcamps, online courses, and tutorials, only to feel like you aren’t getting anywhere?

    https://www.kdnuggets.com/2022/03/people-fail-learn-programming.html

  • How to Engineer Date Features in Python

    This article discusses and demonstrates how to quickly engineer some common date features using Python.

    https://www.kdnuggets.com/2021/08/engineer-date-features-python.html

  • Become a Data Science Professional in Five Steps

    If your new year's resolution was to start a career in data science but you have stalled, simply follow these easy steps to acquire professional certification within a year.

    https://www.kdnuggets.com/2022/03/become-data-science-professional-five-steps.html

  • Machine Learning Algorithms for Classification

    In this article, we will be going through the algorithms that can be used for classification tasks.

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

  • Cloud-Native Super Computing

    NVIDIA BlueField DPUs provide on-demand, simple and secure high-performance computing and AI services.

    https://www.kdnuggets.com/2022/03/nvidia-cloud-native-super-computing.html

  • How a Level System can Help Forecast AI Costs

    To forecast costs for AI systems, it can be useful to talk about their “level” just like SAE has levels for self-driving cars. Adopting a level system can help organizations plan and prepare for AI systems that scale in complexity over time.

    https://www.kdnuggets.com/2022/03/level-system-help-forecast-ai-costs.html

  • New Ways of Sharing Code Blocks for Data Scientists

    Share the interactive code blocks to impress your colleagues or post it on social media.

    https://www.kdnuggets.com/2022/03/new-ways-sharing-code-blocks.html

  • Adding an attention mechanism to RNNs

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

    https://www.kdnuggets.com/2022/03/packt-adding-attention-mechanism-rnns.html

  • Maximize Your Productivity as a Data Scientist by Organizing

    Read some tips on getting organized when it comes to working with data.

    https://www.kdnuggets.com/2022/03/maximize-productivity-data-scientist-organizing.html

  • The Significance of Data Quality in Making a Successful Machine Learning Model

    Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.

    https://www.kdnuggets.com/2022/03/significance-data-quality-making-successful-machine-learning-model.html

  • Boost Your AI and ML Skills for Free at NVIDIA Conference

    Four-day conference offers hundreds of learning and development opportunities in AI, ML, DL, robotics, data science and high performance computing for developers at all levels.

    https://www.kdnuggets.com/2022/03/nvidia-fourday-conference-offers-hundreds-learning-development-opportunities.html

  • Using Data Science to Make Clean Energy More Equitable

    Here are some lessons inspired by a recent panel the author moderated about how data scientists can help put equity into practice.

    https://www.kdnuggets.com/2022/03/data-science-make-clean-energy-equitable.html

  • How To Use Synthetic Data To Overcome Data Shortages For Machine Learning Model Training

    It takes time and considerable resources to collect, document, and clean data before it can be used. But there is a way to address this challenge – by using synthetic data.

    https://www.kdnuggets.com/2022/03/synthetic-data-overcome-data-shortages-machine-learning-model-training.html

  • How Long Does It Take to Learn Data Science Fundamentals?

    This article discusses 2 levels of data science learning, and the amount of time that will need to go into each. From 6 months to 4 years, this write-up covers a number of skills and how long it takes to acquire them.

    https://www.kdnuggets.com/2022/03/long-take-learn-data-science-fundamentals.html

  • KDnuggets News March 9, 2022: Build a Machine Learning Web App in 5 Minutes; 5 Applications of Computer Vision

    This week's top posts are: Build a Machine Learning Web App in 5 Minutes by Natassha Selvaraj; 5 Applications of Computer Vision by Devin Partida; 5 Data Science Projects to Learn 5 Critical Data Science Skills by Nate Rosidi

    https://www.kdnuggets.com/2022/n10.html

  • Top Posts Feb 28 – Mar 6: The Complete Collection of Data Science Cheat Sheets – Part 2

    Also: Calculus: The hidden building block of machine learning; Decision Tree Algorithm, Explained; Telling a Great Data Story: A Visualization Decision Tree; The Complete Collection of Data Science Cheat Sheets – Part 1

    https://www.kdnuggets.com/2022/03/top-posts-week-0228-0306.html

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

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

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

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

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

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

  • Data Science: Reality vs Expectations

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

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

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

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

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

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

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

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

  • Build a Machine Learning Web App in 5 Minutes

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

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

  • Open Data and Why it is Necessary

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

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

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

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

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

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

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

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

  • 5 Applications of Computer Vision

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

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

  • What is Adversarial Machine Learning?

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

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

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

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

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

  • 3 Possible Ways to Get into Data Science

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

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

  • Hybrid AI Will Go Mainstream in 2022

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

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

  • Women in the World of Data

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

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

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

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

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

  • Top Posts Feb 21-27: The Complete Collection of Data Science Cheat Sheets – Part 2

    Also: Decision Tree Algorithm, Explained; The Complete Collection of Data Science Cheat Sheets – Part 1; Essential Machine Learning Algorithms: A Beginner’s Guide; An Easy Guide to Choose the Right Machine Learning Algorithm

    https://www.kdnuggets.com/2022/03/top-posts-week-0221-0227.html

  • 2022 INFORMS Business Analytics Conference: Join us for cutting-edge content and career advancement opportunities

    The 2022 INFORMS Business Analytics Conference comes to Houston, TX, April 3-5. Discover dozens of real-world case studies highlighting how data science and analytics professionals are empowering organizations to make data-driven decisions.

    https://www.kdnuggets.com/2022/03/informs-2022-business-analytics-conference-career-advancement-opportunities.html

  • Data: The Most Valuable Commodity for Businesses

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

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

  • Top Data Science Tools for 2022

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

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

  • Calculus: The hidden building block of machine learning

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

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

  • How to Create a Dataset for Machine Learning

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

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

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

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

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

  • 6 Data Science Startups To Work For In 2022

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

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

  • Top 7 YouTube Courses on Data Analytics

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

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

  • Vanishing Gradient Problem, Explained

    This blog post aims to describe the vanishing gradient problem and explain how use of the sigmoid function resulted in it.

    https://www.kdnuggets.com/2022/02/vanishing-gradient-problem.html

  • How Much Do Data Scientists Make in 2022?

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

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

  • Telling a Great Data Story: A Visualization Decision Tree

    Pick your visualizations strategically. They need to tell a story.

    https://www.kdnuggets.com/2021/02/telling-great-data-story-visualization-decision-tree.html

  • PyTorch or TensorFlow? Comparing popular Machine Learning frameworks

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

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

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

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

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

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

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

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

  • Design Patterns in Machine Learning for MLOps

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

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

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

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

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

  • KDnuggets™ News 22:n08, Feb 23: Complete Collection of Data Science Cheat Sheets; Easy Guide to Choose the Right Machine Learning Algorithm

    The Complete Collection of Data Science Cheat Sheets - Part 2; An Easy Guide to Choose the Right Machine Learning Algorithm; How to Become a Successful Data Science Freelancer in 2022; Essential Machine Learning Algorithms: A Beginner’s Guide; Orchestrate a Data Science Project in Python With Prefect

    https://www.kdnuggets.com/2022/n08.html

  • How to Filter Data with Python

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

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

  • Essential Machine Learning Algorithms: A Beginner’s Guide

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

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

  • Orchestrate a Data Science Project in Python With Prefect

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

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

  • The Challenges of Being a Data Scientist

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

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

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

    Also: Free MIT Courses on Calculus: The Key to Understanding Deep Learning; How to Learn Math for Machine Learning; Is Data Science a Dying Career?; Top Programming Languages and Their Uses

    https://www.kdnuggets.com/2022/02/top-posts-week-0214-0220.html

  • The Challenges of Creating Features for Machine Learning

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

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

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

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

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

  • Octoparse 8.5: Empowering Local Scraping and More

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

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

  • Random Forest® vs Decision Tree: Key Differences

    Check out this reasoned comparison of 2 critical machine learning algorithms to help you better make an informed decision.

    https://www.kdnuggets.com/2022/02/random-forest-decision-tree-key-differences.html

  • 4 Ways Hackers Are Using Data Science to Steal Billions

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

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

  • How You Can Use Machine Learning to Automatically Label Data

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

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

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

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

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

  • An Easy Guide to Choose the Right Machine Learning Algorithm

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

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

  • No Brainer AutoML with AutoXGB

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

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

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

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

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

  • KDnuggets Top Posts for January 2022: Is Data Science a Dying Career?

    Also: The High Paying Side Hustles for Data Scientists; Why Do Machine Learning Models Die In Silence?; SQL Interview Questions for Experienced Professionals; and more!

    https://www.kdnuggets.com/2022/02/top-posts-jan-2022.html

  • How to Become a Successful Data Science Freelancer in 2022

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

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

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

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

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

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

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

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

  • Common Data Problems (and Solutions)

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

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

  • Knowledge Discovery, Data Gravity, and AI: Usama Fayyad & Gregory Piatetsky-Shapiro on the Data and AI Legends Podcast

    Public understanding of AI applications usually goes through a phase shift, from "it cannot be done" to "of course, a computer can do it".

    https://www.kdnuggets.com/2022/02/knowledge-discovery-data-gravity-ai-fayyad-piatetsky.html

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

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

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

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

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

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

  • Ploomber vs Kubeflow: Making MLOps Easier

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

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

  • Top 5 Free Machine Learning Courses

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

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

  • Managing Your Reusable Python Code as a Data Scientist

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

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

  • How to Learn Math for Machine Learning

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

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

  • The motivation behind using graph convolutions

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

    https://www.kdnuggets.com/2022/02/packt-motivation-behind-graph-convolutions.html

  • Data Mesh & Its Distributed Data Architecture

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

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

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

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

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

  • Junior Data Scientist: The Next Level

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

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

  • What’s Your Passion? Make It a Reality During Our Challenge

    TigerGraph’s Graph for All Million Dollar Challenge is now open to engineers, innovators, founders, and dreamers wanting to transform their vision into reality - and potentially claim a piece of the $1 million prize pool at the same time.

    https://www.kdnuggets.com/2022/02/tigergraph-your-passion-make-reality-challenge.html

  • 5 Ways to Apply AI to Small Data Sets

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

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

  • Decision Tree Algorithm, Explained

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

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

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

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

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

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

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

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

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

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

    https://www.kdnuggets.com/2022/02/sas-certification-adding-toolkit-2022.html

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

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

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

  • Top Posts Jan 31 – Feb 6: 7 Steps to Mastering Machine Learning with Python in 2022

    Also: How to Write SQL in Native Python; The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses; Is Data Science a Dying Career?

    https://www.kdnuggets.com/2022/02/top-news-week-0131-0206.html

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

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

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

  • 19 Data Science Project Ideas for Beginners

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

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

  • Build a Web Scraper with Python in 5 Minutes

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

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

  • Deploying a Streamlit WebApp to Heroku using DAGsHub

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

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

  • Data Science Programming Languages and When To Use Them

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

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

  • An Overview of Logistic Regression

    Logistic regression is an extension of linear regression to solve classification problems. Read more on the specifics of this algorithm here.

    https://www.kdnuggets.com/2022/02/overview-logistic-regression.html

  • 8 Best Data Science Courses to Enroll in 2022 For Steep Career Advancement

    Here is the list of the top 8 data science courses and programs that you can consider for upskilling yourself and get the best data scientist job in 2022.

    https://www.kdnuggets.com/2022/02/scaler-8-best-data-science-courses-enroll-2022-steep-career-advancement.html

  • Artificial Intelligence and the Metaverse

    For those of you who don’t know, Artificial intelligence (AI) is the ability of a computer or a computer-controlled robot to perform tasks that are usually done by humans as they require human intelligence. Metaverse’s AI research and usage include content analysis, supervised speech processing, computer vision, and much more. 

    https://www.kdnuggets.com/2022/02/artificial-intelligence-metaverse.html

  • Data Warehousing with Snowflake for Beginners

    This tutorial provides only a brief synopsis of the data warehouse in Snowflake, which we will go through in more detail.

    https://www.kdnuggets.com/2022/02/data-warehousing-snowflake-beginners.html

  • Classifying Long Text Documents Using BERT

    Transformer based language models such as BERT are really good at understanding the semantic context because they were designed specifically for that purpose. BERT outperforms all NLP baselines, but as we say in the scientific community, “no free lunch”. How can we use BERT to classify long text documents?

    https://www.kdnuggets.com/2022/02/classifying-long-text-documents-bert.html

  • Free 4 Week Data Science Course on AI Quality Management

    Are you interested in learning more about how to analyze and improve the performance and trustworthiness of your machine learning models? Then this 4-week, live online course is for you.

    https://www.kdnuggets.com/2022/02/truera-free-4-week-data-science-course-ai-quality-management.html

  • 5 Ways To Use AI For Supply Chain Management

    Using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.

    https://www.kdnuggets.com/2022/02/5-ways-ai-supply-chain-management.html

  • Baidu Research Unveils Top 10 Tech Trends Forecast for 2022

    These are Baidu's top 10 tech trends for 2022, which center on three key pillars: AI core technologies, interdisciplinary & cross-domain research, and industrial & social values.

    https://www.kdnuggets.com/2022/02/baidu-research-unveils-top-10-tech-trends-forecast-2022.html

  • KDnuggets™ News 22:n05, Feb 2: 7 Steps to Mastering Machine Learning with Python in 2022; Unable to Land a Data Science Job? Here’s Why

    7 Steps to Mastering Machine Learning with Python in 2022; Unable to Land a Data Science Job? Here’s Why; R vs Python (Again): A Human Factor Perspective; How To Design Your Data Science Portfolio; Experience the best of both Windows and Ubuntu

    https://www.kdnuggets.com/2022/n05.html

  • How to Write SQL in Native Python

    If the idea of being able to link with SQL databases and define, manipulate, and query using Python sounds appealing, check out the SQLModel library.

    https://www.kdnuggets.com/2022/02/easy-sql-native-python.html

  • How to Build Your Career in Data Science

    If you’re a Data Scientist and you’re setting your 2022 goals to improve and build your career, you’ve landed on the right page.

    https://www.kdnuggets.com/2022/02/build-career-data-science.html

  • Top Posts Jan 24-30: The High Paying Side Hustles for Data Scientists

    Also: Top Programming Languages and Their Uses; The Best Python Courses: An Analysis Summary; Is Data Science a Dying Career?; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership

    https://www.kdnuggets.com/2022/02/top-news-week-0124-0130.html

  • 7 Steps to Mastering Machine Learning with Python in 2022

    KDnuggets Top Blog Are you trying to teach yourself machine learning from scratch, but aren’t sure where to start? I will attempt to condense all the resources I’ve used over the years into 7 steps that you can follow to teach yourself machine learning.

    https://www.kdnuggets.com/2022/02/7-steps-mastering-machine-learning-python.html

  • Effective Testing for Machine Learning

    Given how uncertain ML projects are, this is an incremental strategy that you can adopt as your project matures; it includes test examples to provide a clear idea of how these tests look in practice, and a complete project implementation is available on GitHub. By the end of the post, you’ll be able to develop more robust ML pipelines.

    https://www.kdnuggets.com/2022/01/effective-testing-machine-learning.html

  • How to Successfully Deploy Data Science Projects

    This guide will provide detailed insight into the steps you can take to successfully manage your data science projects.

    https://www.kdnuggets.com/2022/01/successfully-deploy-data-science-projects.html

  • How To Design Your Data Science Portfolio

    Read this overview of how the author created a data science portfolio that stands out and gets noticed.

    https://www.kdnuggets.com/2022/01/design-data-science-portfolio.html

  • Data Science Web nugget Roundup, Jan 29: Calculating Derivatives in PyTorch; Hacking Wordle

    In this week's data science web nugget roundup, see articles from around the web on using PyTorch to calculate derivatives, using data science to find the best start words for Wordle, why math poses a problem for data science newbies, using breakpoints for debugging in Python, and software engineering skills that data scientists.

    https://www.kdnuggets.com/2022/01/weekly-web-nugget-roundup-0129.html

  • Fine-Tuning BERT for Tweets Classification with HuggingFace

    In this blog, we used the Hugging Face library to fine-tune BERT on the classification task. We classified tweets related to COVID.

    https://www.kdnuggets.com/2022/01/finetuning-bert-tweets-classification-ft-hugging-face.html

  • Celebrating Awareness of the Importance of Data Privacy

    January 28 is Data Privacy Day, bringing awareness of the basic foundation and principles of data protection. Read about the day itself, why data privacy is important, and best practices you can adhere to in order to help ensure the privacy of your data.

    https://www.kdnuggets.com/2022/01/celebrating-awareness-importance-data-privacy.html

  • What to Expect From Your Career Path as a Data Scientist

    Learn about the roles between you and the Director of Data Science.

    https://www.kdnuggets.com/2022/01/expect-career-path-data-scientist.html

  • Understanding Iterables vs Iterators in Python

    Though often confused with one another, Iterables and Iterators are two distinct concepts. This article will explain the difference between the two, and how they are used.

    https://www.kdnuggets.com/2022/01/understanding-iterables-iterators-python.html

  • R vs Python (Again): A Human Factor Perspective

    This post is tentative to explain by "human factor" - a typical Python vs. R user, the widespread opinion that Python is better suited than R for developing production-quality code.

    https://www.kdnuggets.com/2022/01/r-python-human-factor-perspective.html

  • Unable to Land a Data Science Job? Here’s Why

    You’ve been taking the wrong advice.

    https://www.kdnuggets.com/2022/01/unable-land-data-science-job.html

  • Unstructured Data: The Must-Have For Analytics In 2022

    Let's investigate the current need that enterprise organizations have to rapidly parse through unstructured data and examine several data management trends that are highly relevant in 2022.

    https://www.kdnuggets.com/2022/01/unstructured-data-analytics-2022.html

  • Getting Started Cleaning Data

    In order to achieve quality data, there is a process that needs to happen. That process is data cleaning. Learn more about the various stages of this process.

    https://www.kdnuggets.com/2022/01/getting-started-cleaning-data.html

  • KDnuggets™ News 22:n04, Jan 26: The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses

    The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses; Artificial Intelligence Project Ideas for 2022; The Best Python Courses: An Analysis Summary; Top Stories, Jan 17-23: The High Paying Side Hustles for Data Scientists

    https://www.kdnuggets.com/2022/n04.html

  • Top Posts Jan 17-23: The High Paying Side Hustles for Data Scientists

    Also: Is Data Science a Dying Career?; Top Programming Languages and Their Uses; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership; How to Process a DataFrame with Millions of Rows in Seconds

    https://www.kdnuggets.com/2022/01/top-news-week-0117-0123.html

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