Introduction to Classification vs Clustering
Data analysis and machine learning are two key fields that heavily rely on classification and clustering techniques. These two techniques are fun… Read More
We’re Atom…
The bank that’s leading the fintech charge!
We’re not like the rest. We’re true innovators, and we’re redefining what a bank should be. Our… Read More
What is IBM?
IBM (The International Business Machines Corporation) nicknamed Big Blue. It is an American multinational technology corporation headquartered in Armonk, New York, and… Read More
Key Takeaway:
Basic Excel formulae such as SUM, AVERAGE, and MAX/MIN are essential tools for data analysis and management. Understanding how to use these functions can save time and impro… Read More
Return on Investment (ROI) is the bedrock of sound financial decision-making in the business world. Simply put, ROI measures the profitability of investments by evaluating the return, typi… Read More
The fast digitization of our society and the growing use of all kinds of electronics have caused data to grow exponentially. This trend doesn’t look like it will stop any time soon. No… Read More
Posted on Oct 2 Neural networks are powerful machine learning models inspired by the human brain's structure and functioning. In this tutorial, we'll walk through the proces… Read More
The fundamental application of mathematics in developing a technical examination of data is statistics. In order for data scientists and analysts to find significant trends and changes in Da… Read More
Federico BianchiFollowTowards Data Science--ListenShareThe ongoing AI revolution is bringing us innovations in all directions. OpenAI GPT(s) models are leading the development and showing ho… Read More
Excel adalah salah satu program aplikasi yang sangat berguna untuk melakukan berbagai macam kegiatan administrasi, seperti membuat laporan, menghitung anggaran, membuat grafik, dan lain-lain… Read More
Sed ut perspiciatis unde. Fundamental learning algorithms as logistic regression or linear regression are often too simple to achieve adequate results for a machine learning problem. While a… Read More