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 …
Adopting Generative AI: Fueling Innovation and Unlocking Creative Potential
Author(s): Nick Minaie, PhD Originally published on Towards AI. In the ever-changing world of artificial intelligence (AI), generative AI has caught our attention as an innovative technology with exciting potential. It empowers machines to generate fresh and unique content that bears a …
Falcon 40B — Data Powered AI Revolution
Author(s): M. Haseeb Hassan Originally published on Towards AI. Falcon 40B — 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 — 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 Manager’s Guide to Success In today’s 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 …
Unleashing the Power of Feature Stores: How They Can Supercharge Your MLOps
Author(s): Natalia Koupanou Originally published on Towards AI. Discover the Benefits of Feature Stores for Streamlined and Efficient MLOps Edited Photo by Joshua Sortino If you’re interested in Machine Learning Operations (MLOps), you’ve probably heard about feature stores. But what exactly are …
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! Let’s 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 …
A quick Introduction to Machine Learning. Part-4 (Final Part)
Author(s): Abhijith S Babu Originally published on Towards AI. In this machine learning series, we have come across various machine learning techniques. In part-3, we saw how decision trees can be used in machine learning. The drawbacks of the ID-3 algorithms were …
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 — the built-in library Image by me with Midjourney Most people think Python’s mass dominance is due to its powerful packages like NumPy, Pandas, Sklearn, XGBoost, etc. …
Supercharge Your AI: Cracking the Code to Prompt Engineering Magic!
Author(s): Raman Rounak Originally published on Towards AI. Photo by ilgmyzin on Unsplash What the heck is Prompt Engineering all about? Well, readers, prompt engineering is like the secret sauce for making awesome AI systems. It’s all about crafting prompts that make …
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 …
Popular posts
Updates
Recent Posts
