A quick Introduction to Machine Learning. Part-3 (Decision Tree)
Author(s): Abhijith S Babu Originally published on Towards AI. In this article, we can see how a decision tree is a useful machine-learning method. I recommend you to read part-1 and part-2 to have a basic idea about machine learning. Photo by …
Unveiling Machine Learning: The PiML Toolbox for Enhanced Explainability
Author(s): Himanshu Sharma Originally published on Towards AI. Demystifying Complex Models with Transparency and Interpretability PiML(Source: By Author) Python modules like sklearn, lazy predict, etc., have made it simple to develop a machine-learning model. These libraries may be quickly learned and put …
Falcon 40B β Data Powered AI Revolution
Author(s): M. Haseeb Hassan Originally published on Towards AI. Falcon 40B β Data Powered AI Revolution (Source: Image by the author) Falcon-40B is an advanced step in the world of Large Language Models (LLMs). It is a foundational language model that is …
Unleashing the Power of AI/ML in Enterprises β A Battle between Top-Down and Bottom-Up Strategies
Author(s): Nick Minaie, PhD Originally published on Towards AI. Striking the Balance for Successful Adoption and Transformation With a career spanning over two decades in the industry, I have gained extensive experience as a management consultant and data science leader, advising C-suite …
Building a Scalable Data Science Team for Success: From Data to Knowledge
Author(s): Nick Minaie, PhD Originally published on Towards AI. A Data Science Managerβs Guide to Success In todayβs data-driven world, organizations recognize the immense value of data science in driving business insights and innovation. To fully leverage the power of data, building …
Top 10 Statistics Mistakes Every Data Scientist Should Avoid
Author(s): Anmol Tomar Originally published on Towards AI. 1. Selection Bias Top highlight Image Credit: Unsplash Statistics plays a crucial role in data science, helping us draw meaningful insights from data and make informed decisions. However, even the most experienced data scientists …
Master the Power of RegEx: A Step-by-Step Guide
Author(s): Tushar Aggarwal Originally published on Towards AI. {This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of RegEx} By Tushar-Aggarwal.com βRegular Expressions, or RegEx, is a powerful tool for text processing and …
Unlocking the Power of Cross-Validation
Author(s): Roli Trivedi Originally published on Towards AI. A Comprehensive Guide to Optimizing Model Performance Photo by Gilly on Unsplash Cross-validation is a popular technique in machine learning and statistical analysis that involves dividing a dataset into subsets to assess and validate …
Three Insidious Data Fallacies to Recognise in the Age of AI
Author(s): John Adeojo Originally published on Towards AI. A Brief Examination of Data Fallacies and Their Influence on Decisions Image by Author: Generated with Midjourney In the age of AI, business leaders are becoming increasingly aware of the merits of a data-driven …
SpeakGPT Instead of ChatGPT! Letβs Do the Data Project by Just Speaking!
Author(s): Gencay I. Originally published on Towards AI. Unleashing the Power of ChatGPT in Data Science by Speaking Created in LeonardoAI Last day, I was analyzing my transactions by using Python. At that time, my cat jumps into my lap and wants …
Building Industry Level Data Science Projects: A Step-by-Step Guide
Author(s): Youssef Hosni Originally published on Towards AI. A Comprehensive Roadmap for Building Industry-Level Projects While the demand for data scientists & AI engineers continues to rise, there remains a significant gap between academic knowledge and practical implementation, especially when it comes …
20 Underdog Python Built-in Libraries That Deserve Much More Attention
Author(s): Bex T. Originally published on Towards AI. Time to go out of the shadows β the built-in library Image by me with Midjourney Most people think Pythonβs mass dominance is due to its powerful packages like NumPy, Pandas, Sklearn, XGBoost, etc. …
A Powerful Way to Master New Data Science Libraries Without Wasting Weeks
Author(s): Bex T. Originally published on Towards AI. Learn new packages effectively on your own Image by me with Midjourney Online courses and videos often have hidden agendas. They want to make the new data science libraries you are learning as easy …
AlphaDev: Sorting Algorithm βHold My Beerβ
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. AlphaDev uncovered a faster algorithm for sorting, a method for ordering data. Billions of people use these algorithms every day without realizing it Just when you started to think as ChatGPT …
Create Your AI Math Tutor App in 30 Lines of Code with Streamlit, LangChain, and ChatGPT
Author(s): Soner YΔ±ldΔ±rΔ±m Originally published on Towards AI. The power of ChatGPT meets the ease of Streamlit. Photo by Andrea De Santis on Unsplash The advancements in large language models (LLMs) have grabbed a lot of attention. Although some people consider it …
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