Microsoft Data Science Interviews
Author(s): Kenny Kim Originally published on Towards AI. Understanding the interview process from the interviewerβs perspective from ex-Microsoft and ex-Expedia. Photo by Andrew Mantarro on Unsplash A couple of weeks ago, I saw a few posts about the Microsoft interview process. Both …
Productivity Tools for Large-scale Data Science Projects
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Analyzing different productivity tools used for real-world industrial type projects Photo by imgix on Unsplash Basic productivity tools for data science such as Jupyter notebook and R Studio are good tools for …
Multi-lingual Language Model Fine-tuning
Author(s): Edward Ma Originally published on Towards AI. The Problem of Low-resource Languages Photo by Chloe Evans on Unsplash English is one of the richest resources in natural language processing field. Lots of state-of-the-art NLP models support English natively. To tackle multi-lingual …
Machine Learning in Sales Processes
Author(s): Prashant Sai Originally published on Towards AI. Sales funnel processes and segments can be different for different companies based on the type of service provided by the respective company, whether itβs inbound or outbound sales. The content, campaigns, and sales pitch …
Web Application Security: Top 11 Best Practices for 2021
Author(s): Sophia Martin Originally published on Towards AI. Do you know cybercrime or hacking is quickly becoming more profitable than an illegal drug trade? Yes, you read it right! Every year we see thousands of hacking and security breaching cases in the …
Pros & Cons of the Most famous AI Algorithms
Author(s): Surya Govind Originally published on Towards AI. Photo by Alex Knight on Unsplash Famous AI weapons: what is the use, when to use & when to ignore. Point-wise summary Introduction: First, letβs see what a Classifier is: An algorithm that maps …
Efficient Pandas: Using Chunksize for Large Data Sets
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Question One: Data Science professionals often encounter very large data sets with hundreds of dimensions and millions of observations. There are multiple ways to handle large data sets. We all know about the …
AI on the Edge β An AI Nerd Series |#01-Pilot
Author(s): Rakesh Acharya Originally published on Towards AI. AI on the Edge β An AI Nerd Series U+007C#01-Pilot The advent of Edge Computing and the need to bring AI to Edge In the beginning, there was one big computer. Soon we started …
Top 10 Tech Skills in 2020 Worldwide
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Top 10 tech skills in 2020 worldwide, and in the United States. Skills related to data are of the highest demand. Photo by Benjamin O. Tayo As we enter a new year …
Why is Python the Ideal Programming Language for AI and Data Science?
Author(s): Kristy Hill Originally published on Towards AI. Image by Geralt at Pixabay Is Python the preferred programming language for AI and Data Science today? If yes, then letβs learn the logical reasons in this article, along with why it is an …
History of the Machine Learning Department at Carnegie Mellon
Author(s): Roberto Iriondo Originally published on Towards AI. Gates Hillman Center portrayed. Courtesy: Carnegie Mellon University Machine Learning How was the first machine learning academic department founded Tom M. Mitchell portrayed, Machine Learning Department Head 1997β1999 and 2002β2015, Source: CMU. The Machine …