Skillenai
Creating a portfolio of your data science projects is generally a great idea. But as an NLP hiring manager, there is one common portfolio project that I’ve always kind of shrugged at: sentiment analysis. So when I recently analyzed a large data set of job postings and blog articles, and found evidence to confirm my […]
The data science blogging community has been fascinated with generative AI over the last few months, proven by the fact that a peak of almost 14% of all data science articles mentioned ChatGPT in mid-April 2023. That’s why I was completely shocked to discover that data science job postings in June 2023 almost never mentioned […]
A thriving community of data science bloggers has been extremely active in the first half of 2023, helping us all come to grips with the revolutionary advances in generative AI such as ChatGPT, Stable Diffusion, and more. Here at Skillenai, we have gathered data on over 9000 articles from over 2000 unique authors, providing us […]
ChatGPT has revolutionized the field of data science within a very short time. As great as ChatGPT is, it’s closed-source nature limits its usage by data scientists to prompt engineering. But a zoo of open source large language models (LLMs) such as Falcon, Gorilla, Llama, and Orca have made rapid advancements in recent months. So […]
PySpark, a Python library integrated with Apache Spark, has revolutionized big data analytics with its speed, scalability, and efficiency. It offers a wide array of data transformation, analysis, and machine learning capabilities, making it a go-to tool for handling large datasets and real-time data streaming. However, as a data scientist, it is crucial to balance […]
Is your organization beginning it’s analytics or AI journey? One of the first steps will be building a data science team to help develop and deploy machine learning models. I was lucky to have the opportunity to be the first data scientist at a tech startup. In this article, I will share how we built […]
Discover the most popular Python packages for data science, including essentials like Numpy and Pandas along with hidden gems like Seaborn and spaCy.