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State of Synthetic Data Survey: What Do You Know About Synthetic Data?
We’ve partnered with MOSTLY AI, a synthetic data platform to conduct the largest ever State of Synthetic Data Survey.
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ETL vs ELT: Which One is Right for Your Data Pipeline?
Learn about the differences between ETL and ELT data integration techniques and determine which is right for your data pipeline.
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Distance Metrics: Euclidean, Manhattan, Minkowski, Oh My!
Looking to understand the most commonly used distance metrics in machine learning? This guide will help you learn all about Euclidean, Manhattan, and Minkowski distances, and how to compute them in Python.
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How to Use ChatGPT to Improve Your Data Science Skills
And How to Speed up your research of data science resources without wasting energy.
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5 Advance Projects for Data Science Portfolio
Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.
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KDnuggets News, March 29: Automate the Boring Stuff with GPT-4 • Python Libraries for Data Cleaning
Automate the Boring Stuff with GPT-4 and Python • Introduction to Python Libraries for Data Cleaning • Google Answer to ChatGPT by Adding Generative AI into Docs and Gmail • Top 15 YouTube Channels to Level Up Your Machine Learning Skills • 3 Mistakes That Could Be Affecting the Accuracy of Your Data Analytics
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The Berkson-Jekel Paradox and its Importance to Data Science
Berkson-Jekel: A Statistical Paradox in Data Science that you should know about.
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A Complete Collection of Data Science Free Courses – Part 2
The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.
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Top Posts March 20-26: GPT-4: Everything You Need To Know
GPT-4: Everything You Need To Know • OpenChatKit: Open-Source ChatGPT Alternative • Top Posts March 13-19: GPT-4: Everything You Need To Know • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • 4 Ways to Generate Passive Income Using ChatGPT
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5 Machine Learning Skills Every Machine Learning Engineer Should Know in 2023
Most essential skills are programming, data preparation, statistical analysis, deep learning, and natural language processing.
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Reading Minds with AI: Researchers Translate Brain Waves to Images
Two researchers from Osaka University were able to reconstruct highly accurate images from human brain activity obtained by fMRI. Read this article if you are curious to find out what all the hype is about.
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Automate the Boring Stuff with GPT-4 and Python
Speed up your daily workflows by getting AI to write Python code in seconds.
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Multimodal Models Explained
Unlocking the Power of Multimodal Learning: Techniques, Challenges, and Applications.
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How Data Science Can Transform Mobile App Development?
Data science is an intelligent and powerful technology. By knowing how to use data science in mobile app development you can achieve great results.
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Visual ChatGPT: Microsoft Combine ChatGPT and VFMs
Microsoft announces Visual ChatGPT for talking, drawing, and editing with visual foundation models.
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Automation in Data Science Workflows
Will data science, known for replacing innately iterative work with automation, become automated? Will data scientists’ jobs be automated too?
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311 Call Centre Performance: Rating Service Levels
Download a FREE SAMPLE OUTPUT from the TIME SERIES Outlier and Anomaly Detection Template, and learn how outlier detection can help you.
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How Watermarking Can Help Mitigate The Potential Risks Of LLMs?
Adding embedding signals into generated text can help mitigate potential risks of plagiarism, misinformation, and abuse in large language models.
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Introduction to Python Libraries for Data Cleaning
Accelerate your data-cleaning process without a hassle.
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Unlock Your Potential with This FREE DevOps Crash Course
Learn DevOps from the best in the industry and take the first step towards unlocking your full potential. Register for the DevOps Crash Course HERE!
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Top 15 YouTube Channels to Level Up Your Machine Learning Skills
Machine learning is the key driver of innovation and progress but finding the right resources to learn can be a tiring process. Save time searching aimlessly, and take advantage of our curated list of the top 15 YouTube channels to jumpstart your journey.
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Google Answer to ChatGPT by Adding Generative AI into Docs and Gmail
What does Google have in the works for Google Docs and Gmail? How will this benefit you and your business?
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Using ChatGPT for Webpage Construction
Can ChatGPT create webpages? Let's take it to task and find out.
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Data Quality Dimensions: Assuring Your Data Quality with Great Expectations
This article highlights the significance of ensuring high-quality data and presents six key dimensions for measuring it. These dimensions include Completeness, Consistency, Integrity, Timelessness, Uniqueness, and Validity.
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KDnuggets News, March 22: GPT-4: Everything You Need To Know • OpenChatKit: Open-Source ChatGPT Alternative
GPT-4: Everything You Need To Know • OpenChatKit: Open-Source ChatGPT Alternative • Introduction to __getitem__: A Magic Method in Python • NoSQL Databases and Their Use Cases • 7 Must-Know Python Tips for Coding Interviews
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KDnuggets Top Posts for February 2023: SQL and Python Interview Questions for Data Analysts
SQL and Python Interview Questions for Data Analysts • 5 SQL Visualization Tools for Data Engineers • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • Top Free Resources To Learn ChatGPT • Free TensorFlow 2.0 Complete Course • Learn Data Engineering From These GitHub Repositories • 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition • ChatGPT for Beginners
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Plotly Express for Data Visualization Cheat Sheet
Our latest cheat sheet is a handy reference for Plotly Express, a high-level data visualization library in Python built on top of Plotly.
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3 Mistakes That Could Be Affecting the Accuracy of Your Data Analytics
As more companies are starting to rely on big data, more companies are also misanalyzing the data that they receive. Is your company one of them? These are the top three mistakes that companies commonly make that affect the accuracy of their data analytics.
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Machine Learning: What is Bootstrapping?
Bootstrapping is an essential technique if you're into machine learning. We’ll discuss it from theoretical and practical standpoints. The practical part involves two examples of bootstrapping in Python.
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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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