The article on fetching data from an API using R and Python is complete. This tutorial teaches how to fetch data from an external source using HTTP requests and parse the data into a usable format. It is written in #quarto, an excellent tool for publishing reproducible research.

Welcome to our Data Science and Analytics channel. Please subscribe and help us reach 1,000 subscribers. Having you here is truly a blessing. Thank you for helping us make a positive impact on our world 🌎. Subscribe here: youtube.com/@gbganalytics

Check out the new article, 7 Simple Strategies for Growing Your Investment Portfolio by Mark P. Cussen, that I just reviewed. linkedin.com/pulse/7-simple-… @investbamboo

🎥 Recording: UNILORIN R Users Group Wrangle, Transform, Analyse: Mastering dplyr in R Speaker: Babatunde Adebayo (OmniRetail) Pipes, core verbs, grouped summaries, and joins. Watch: youtube.com/watch?v=crK537Ky… #RStats #dplyr #DataScience #UNILORINRUsersGroup

📢 UNILORIN R Users Group Meetup 📅 Aug 30, 2025 | 🕔 5 PM WAT | 📍 Zoom Theme: Wrangle, Transform, Analyse: Your Path to Mastering dplyr in R 🎙 Speaker: Babatunde Adebayo – Data Scientist @ OmniRetail 🔗 Register: bit.ly/unilorin-r-users-even… #RStats #DataScience #dplyr

⏰ 5 PM WAT | Today Hands-on Data Cleaning with Regular Expressions 📍 With Dr. Victor! Ready to take your R skills to the next level? Learn how to clean and wrangle data like a pro using Regular Expressions! 👉 Register now: bit.ly/Unilorin-r-users-even…

Confirmed: Ezekiel A. Ogundepo joins #DSA2025Ibadan at Univ. of Ibadan! 🇳🇬 A data science leader global fellow @Data4SDGs , Ezekiel has built predictive tools & open-source systems tackling climate & health challenges across Africa. Learn More : bit.ly/DSA2025Ibadan

Tired of opening each sheet in Excel and saving them one by one? bulkreadr 1.2.0’s write_excel_sheets_to_csv() handles it all at once—every sheet becomes its own CSV with a single command. More time for analysis, less time on busywork. Try it now: gbganalyst.github.io/bulkrea… #Rstats

RT @dsn_ai_network: Day 3 of Learning Visit to Singapore.…

🚨 Ready to create stunning, reproducible documents with R? Join the #UnilorinRUserGroup meetup with @yanina_bellini on Quarto—types, formatting & a step-by-step guide! 🗓️ Apr 26, 2025 | 🕐 1–3 PM WAT 🔗 Register: bit.ly/unilorin-r-user-event… #RStats #Quarto #DataScience

🚀 Ready to master statistics & data analysis with #RProgramming? Join the Unilorin R User Group Meetup on Sat, Mar 22, 2025, at 11 am. 📊 Boost your skills with practical insights and real-world examples. RSVP now 👉 bit.ly/unilorinRevent2 #DataScience #Statistics #rstats

Thank you for featuring our interview post on the R Consortium blog. We appreciate the opportunity to be highlighted and to showcase our efforts in promoting R in Nigeria.

In today’s LLMs Series, let’s explore how AI generates text and why some responses feel more natural while others sound robotic or off-topic. The secret lies in how models select words—a process that directly affects accuracy and coherence. Two common methods are Typical Sampling and Contrastive Decoding. Typical sampling works like predictive texting on your phone. It picks words based on probability, which sometimes results in repetitive, generic, or even incorrect answers. Imagine asking an AI assistant for a restaurant recommendation, and it keeps suggesting “Italian food is good” without offering specific places—this happens because the model picks common words without truly understanding context. Contrastive decoding, however, works like a skilled editor. Instead of choosing the most common words, it ranks possible responses and selects the one that makes the most sense. This is especially useful in medical AI, where a chatbot answering health-related questions needs to provide accurate and relevant information rather than generic or misleading advice. It also improves legal AI tools, ensuring documents and summaries remain precise rather than vague or inconsistent. As AI advances, Small Language Models (SLMs) are integrating these techniques to provide more efficient and reliable results. @equalyz_ai, for example, has researched how SLMs can enhance AI performance in areas where computing power is limited, such as local businesses, education, and finance. With contrastive decoding and efficient AI models, we move closer to AI that is not just faster but also smarter and more trustworthy. #DSN #ContrastiveDecoding #SLMs #MachineLearning

No more fake references or citations in ChatGPT again with searchGPT.

📽️ Through the CAN Data Science Fellowship, @gbganalyst is working to identify the environmental drivers of cholera outbreaks to facilitate surveillance & response in Yobe State, Nigeria 🔬 ▶️ Watch more about the CAN program with @datadotorg buff.ly/3Yr5aJO

🚀 DATAVIZ 1.0 is here! Join us for a data visualization training program in honor of Late Mrs. Iyabode Olanrewaju. Designed for pre-university candidates, graduates, postgraduates, and women transitioning to tech. 🔗 Register here: bit.ly/ai6ibadan #DataScience #DataViz

As we celebrate Nigeria's independence, we thank God for this gift that God gave to Nigeria. Happy birthday, my supper boss. @dsn_ai_network #mentor #greatimpact #leader