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Next Level AI Programming: Prompt Design & Building AI Products
In this course, we'll dive into the world of prompt design and learn how to create AI products like auto-generated podcasts.
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9 Free Harvard Courses to Learn Data Science
Learn Python programming, statistics, and machine learning online from one of the world’s top universities.
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Automated Machine Learning with Python: A Comparison of Different Approaches
These four automated machine learning tools will help you build ML models quickly for your Data Science projects.
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A Complete Collection of Data Science Free Courses – Part 1
The first part covers the list of Programming, Web scraping, Statistics & Probability, Data Analytics, SQL, and Business Intelligence free courses.
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Top Posts March 13-19: GPT-4: Everything You Need To Know
GPT-4: Everything You Need To Know • 4 Ways to Generate Passive Income Using ChatGPT • OpenChatKit: Open-Source ChatGPT Alternative • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • ChatGPT for Data Science Cheat Sheet
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Gaussian Naive Bayes, Explained
Learn how Gaussian Naive Bayes works and implement it in Python.
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3 Ways to Merge Pandas DataFrames
Combine Pandas data frames using the merge, join, and concatenate operations.
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Learn About Large Language Models
An introduction to Large Language Models, what they are, how they work, and use cases.
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7 Must-Know Python Tips for Coding Interviews
Preparing for your next Python coding interview? Here’s a list of useful tips that’ll come in handy and help you write Pythonic code.
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Multi-label NLP: An Analysis of Class Imbalance and Loss Function Approaches
In this comprehensive article, we have demonstrated that a seemingly simple task of multi-label text classification can be challenging when traditional methods are applied. We have proposed the use of distribution-balancing loss functions to tackle the issue of class imbalance.
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Top Machine Learning Papers to Read in 2023
These curated papers would step up your machine-learning knowledge.
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NoSQL Databases and Their Use Cases
Learn about NoSQL Databases and their types like key-value, document, graph and column family with their use cases.
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OpenChatKit: Open-Source ChatGPT Alternative
OpenChatKit enables developers to fine-tune the model, maintain context in dialog, moderate responses, and effortlessly build their own custom chatbot applications.
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KDnuggets News, March 15: 4 Ways to Generate Passive Income Using ChatGPT • Simpson’s Paradox and its Implications in Data Science
4 Ways to Generate Passive Income Using ChatGPT • Simpson's Paradox and its Implications in Data Science • ChatGPT vs Google Bard: A Comparison of the Technical Differences • Master the Power of Data Analytics: The Four Approaches to Analyzing Data • GitHub CLI for Data Science Cheat Sheet
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GPT-4: Everything You Need To Know
A new model by OpenAI with improved natural language generation and understanding capabilities.
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Introduction to __getitem__: A Magic Method in Python
Magic methods can make our class design more intuitive by giving us access to Python’s built-in syntax features. In this tutorial, we will study the __getitem__ method for custom indexing.
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What Are The Downsides of AI Advancement?
While AI has certainly several positive uses to offer the world, it’s also displaying harm when it comes to academics, cybersecurity, the environment, jobs, and privacy.
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What’s New in SAS Certification?
Now is as great a time as ever to learn something new. Whether you’re a beginner or expert in the field of data science, here is everything you need to know about what’s going on in SAS Certification right now.
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Dealing with Position Bias in Recommendations and Search
People click on top items in search and recommendations more often because they are on top, not because of their relevancy. How can this problem be solved?
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9 Top Platforms to Practice Key Data Science Skills
Which platforms would I recommend as a go-to for learning and practicing data science skills? The list would change every day, depending on my mood. Here’s today’s list with an overview of each platform.
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Use your Data Science Skills to Create 5 Streams of Income
Leverage your data science skills to create five different side streams of income.
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Back To Basics, Part Dos: Gradient Descent
Explore the inner workings of the powerful optimization algorithm.
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5 More Command Line Tools for Data Science
Use these tools to Access API, Manipulate CSV files, download datasets, and more from your terminal.
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How to Find Set Difference in Python
Learn how to find the set difference between two Python sets using the difference() method and the difference (-) operator.
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New ChatGPT and Whisper APIs from OpenAI
A quick overview of ChatGPT and Whisper models API.
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GitHub CLI for Data Science Cheat Sheet
The GitHub CLI is a tool that allows for interaction with the GitHub platform with the command line interface. Mastering the most-used commands will allow you to become a productive of a data science, data engineering, or machine learning engineering development team.
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First Open Source Implementation of DeepMind’s AlphaTensor
The first open-source implementation of AlphaTensor has been released and opens the door for new developments to revolutionize the computational performance of deep learning models.
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4 Ways to Generate Passive Income Using ChatGPT
Discover how you can leverage ChatGPT to generate passive income.
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Unlock your next move: Save up to 67% on in-demand data upskilling
For a limited time, save up to 67% on a DataCamp Premium subscription and unlock 410+ interactive courses for all levels in Python, SQL, R, Power BI, and more.
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Key Factors Affecting the Time to Insights
This report provides an overview of the key factors affecting the time to insights, including the benefits of BI and the need for tailored solutions.
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What You Should Know About Python Decorators And Metaclasses
Learn the basic difference between Decorators and Metaclasses in Python.
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Simpson’s Paradox and its Implications in Data Science
The importance of Simpson’s Paradox and why you need to consider it when working with data.
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Fear not, for AI coding is here to help you!
The author presents 24 challenging regex puzzles, their traditional human-made solutions, and the fascinating answers given by popular AI assistants.
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Master the Power of Data Analytics: The Four Approaches to Analyzing Data
Learn about descriptive analytics, data warehousing, machine learning, and big data.
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ChatGPT vs Google Bard: A Comparison of the Technical Differences
The Biggest Rivalry: ChatGPT vs Google Bard! Here's a comparison of the technical differences between the two AI engines.
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KDnuggets News, March 8: ChatGPT for Data Science Cheat Sheet • Top Free Data Science Online Courses for 2023
ChatGPT for Data Science Cheat Sheet • Top Free Data Science Online Courses for 2023 • SQL Query Optimization Techniques • 3 Hard Python Coding Interview Questions For Data Science • A List of 7 Best Data Modeling Tools for 2023
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Hydra Configs for Deep Learning Experiments
This brief guide illustrates how to use the Hydra library for ML experiments, especially in the case of deep learning-related tasks, and why you need this tool to make your workflow easier.
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Top Free Courses on Large Language Models
Interested in learning how ChatGPT and other AI chatbots work under the hood? Look no further. Check out these free courses and resources on large language models from Stanford, Princeton, ETH, and more.
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Time Series Forecasting with statsmodels and Prophet
Easy forecast model development with the popular time series Python packages.
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Key Issues Associated with Classification Accuracy
In this blog, we will unfold the key problems associated with classification accuracies, such as imbalanced classes, overfitting, and data bias, and proven ways to address those issues successfully.
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Top Posts February 27 – March 5: ChatGPT for Data Science Cheat Sheet
ChatGPT for Data Science Cheat Sheet • 5 Data Analysis Projects For Beginners • 4 Ways to Rename Pandas Columns • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • The ChatGPT Cheat Sheet
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Getting Started with GitHub CLI
Learn about the super command line tool that makes it easy to create, view, and manage GitHub repositories.
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What is Google AI Bard?
Google responds to OpenAI’s ChatGPT with their own AI chatbot, Google Bard.
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3 Hard Python Coding Interview Questions For Data Science
No mercy today! I have three hard-level Python coding interview questions that require you to be on top of your game in Python and solve business problems.
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A List of 7 Best Data Modeling Tools for 2023
Learn about data modeling tools to create, design and manage data models, allowing data scientists to access and use them more quickly.
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Get World-class Data Science Learning with DataCamp at 25% off
Equip yourself for our data-driven future with 25% off a world-class data science learning platform DataCamp. Check out the details here.
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A Beginner’s Guide to Pandas Melt Function
Transform your dataset from a Wide-format into a Long format quickly.
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Must Read NLP Papers from the Last 12 Months
The era of large language models is here now.
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Top Free Data Science Online Courses for 2023
Learn Data Science in 2023 for FREE with these online courses.
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ChatGPT for Data Science Cheat Sheet
The latest KDnuggets cheat sheet covers using ChatGPT to your advantage as a data scientist. It's time to master prompt engineering, and here is a handy reference for helping you along the way.
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7 Tips for Data Science Project Management
Tips to help you plan and execute your data science projects efficiently and successfully.
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KDnuggets News, March 1: Essential A/B Testing Course for Data Science • The Importance of Probability in Data Science
Essential A/B Testing Course for Data Science • The Importance of Probability in Data Science • 5 Statistical Paradoxes Data Scientists Should Know • Free TensorFlow 2.0 Complete Course • ChatGPT, GPT-4, and More Generative AI News
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SQL Query Optimization Techniques
Learn how to optimize the queries written in SQL to make them execute faster and more memory efficient.
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Machine Learning Algorithms Explained in Less Than 1 Minute Each
Learn about some of the most well known machine learning algorithms in less than a minute each.
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3 Julia Packages for Data Visualization
A gentle introduction of Plots.jl, Gadfly.jl, and VegaLite with code examples.
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5 Data Analysis Projects For Beginners
Are you a data analyst newbie looking to boost your resume to land your first job? If yes, then up your game as a beginner with these 5 projects that you can’t afford to miss.
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Getting Started with Python Generators
Learn about Python generators and write memory-efficient and Pythonic code.
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Top Posts February 20-26: 5 SQL Visualization Tools for Data Engineers
5 SQL Visualization Tools for Data Engineers • Free TensorFlow 2.0 Complete Course • The Importance of Probability in Data Science • 4 Ways to Rename Pandas Columns • 5 Statistical Paradoxes Data Scientists Should Know
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Top 5 Advantages That CatBoost ML Brings to Your Data to Make it Purr
This article outlines the advantages of CatBoost as a GBDTs for interpreting data sources that are highly categorical or contain missing data points.
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Data Warehousing and ETL Best Practices
How you can improve your data warehousing ETL process with these simple practices.
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PySpark for Data Science
In this tutorial, we will learn to Initiates the Spark session, load, and process the data, perform data analysis, and train a machine learning model.
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KDnuggets Top Posts for January 2023: The ChatGPT Cheat Sheet
The ChatGPT Cheat Sheet • ChatGPT as a Python Programming Assistant • Python Matplotlib Cheat Sheets • Learn Machine Learning From These GitHub Repositories • ChatGPT: Everything You Need to Know • 7 Best Platforms to Practice SQL • Top Posts January 23-29: The ChatGPT Cheat Sheet • Free Data Management with Data Science Learning with CS639
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5 SQL Visualization Tools for Data Engineers
This article will discuss SQL visualization, its role in augmenting the modern-day data engineer, and five categories of SQL visualization tools.
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Make Quantum Leaps in Your Data Science Journey
Learn about three levels of data science to make the quantum leap to the next level.
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ChatGPT, GPT-4, and More Generative AI News
A short review of developments in the AI world.
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Free TensorFlow 2.0 Complete Course
Are you a beginner python programmer aiming to make a career in Machine Learning? If yes, then you are at the right place! This FREE tutorial will give you a solid understanding of the foundations of Machine Learning and Neural Networks using TensorFlow 2.0.
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5 Statistical Paradoxes Data Scientists Should Know
Knowing these 5 statistical paradoxes is essential for data scientists to improve their analyses and machine learning models.
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KDnuggets News, February 22: Learning Python in Four Weeks: A Roadmap • Is Data Science a Dying Career?
Learning Python in Four Weeks: A Roadmap • Is Data Science a Dying Career? • Hypothesis Testing in Data Science • 7 Best Tools for Machine Learning Experiment Tracking • 5 Genuinely Useful Bash Scripts for Data Science
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The Importance of Probability in Data Science
Why do you need to learn probability in data science?
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Essential A/B Testing Course for Data Science
The course explains the core foundations and experiment design process for A/B testing, along with the case studies.
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Parallel Processing Large File in Python
Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent.
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Data Cleaning with Python Cheat Sheet
An intuitive guide that will help you to prepare and preprocess your dataset before applying the machine learning model.
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SQL Interviews Preparations Material Resources
SQL is a must-known programming language for data people, and many modern jobs have SQL as a prerequisite. Here are material collections to prepare for your SQL interview.
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Importance of Pre-Processing in Machine Learning
Learn how pre-processing improves the performance of machine learning models.
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Top Posts February 13-19: Top Free Resources To Learn ChatGPT
Top Free Resources To Learn ChatGPT • The ChatGPT Cheat Sheet • 4 Ways to Rename Pandas Columns • ChatGPT as a Python Programming Assistant • How to Select Rows and Columns in Pandas Using [ ], .loc, iloc, .at and .iat
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