What a year it has been for data science. Here’s our pick of the best and most popular articles that were published on Analytics Vidhya in 2018.
2018 was a HUGE year in open source machine learning projects. Here’s our pick of the bunch, with projects divided into different categories.
What is quantum machine learning? What’s the job scene like? How can you learn the subject? Find out in this awesome episode with Dr. Mandaar Pande!
A Technical Overview of AI & ML (NLP, Computer Vision, Reinforcement Learning) in 2018 & Trends for 2019
From Google’s BERT to Facebook’s PyTorch, 2018 was a HUGE year in ML. Find out what else made the news and what to look forward to in the new year!
This article is a collection of the most useful machine learning and deep learning GitHub repositories and Reddit discussions created in November 2018.
What do you do when you have to improve upon the best? When you need to deliver what has never been done before? And …
This article has a list of resources, certifications and other important links that will help you get started on your data engineering journey.
This article lists down the most awesome machine learning and deep learning GitHub repositories and Reddit discussions from October 2018!
What are the applications of AI in the oil and gas domain? Yogendra Pandey joins us to uncover this pertinent question & more on the DataHack Radio podcast!
DataHack Radio #12: Exploring the Nuts and Bolts of Natural Language Processing with Sebastian Ruder
This episode of DataHack Radio features NLP expert and researcher Sebastian Ruder talking about his work in the field and his advice to aspiring scientists.