Top 8 Data Scientists Worth Following on Twitter
Are you a frequent Twitter user? Do you like to read updates related to data science or machine learning? If yes, then this guide is for you.
Being ahead of the curve is crucial in the ever-changing field of data science. Because of its dynamic and real-time character, Twitter has developed into a hub for data scientists to exchange ideas, talk about trends, and make contributions to the rapidly growing discipline.
In this article, we unveil the top data scientists whose Twitter feeds are a goldmine of knowledge and inspiration.
Most-Popular Data Scientists to Follow on Twitter
These people are essential to follow if you’re looking for information and inspiration, regardless of whether you’re a data enthusiast, an aspiring analyst, or a seasoned data scientist.
Their innovative research, thought-provoking content, and captivating podcasts are just a few of the ways they can help shape your data science career.
Let’s know more about them one by one:
- Nando de Freitas (@NandoDF)
de Freitas is working as a scientist lead for the machine learning team at Google DeepMind. He even worked as a professor of computer science at Oxford University.
He supports the organization’s goal of using technology to advance science and the general public while upholding morality and safety.
Numerous awards have been given to him for his machine learning efforts, including best-paper awards from the 2016 International Conference on Learning Representations and the International Conference on Machine Learning.
- Dean Abbott (@deanabb)
Being a co-founder and chief data scientist at SmarterHQ and founder and president of Abbott Analytics, Abbot is the author of Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst and co-author of the IBM SPSS Modeler Cookbook.
Since 1987, he has created and implemented techniques in data preparation, data mining, and data visualization for business as well as research problems.
- John Elder (@johnelder4)
Dr. Elder is the founder of the data mining company Elder Research. Also, he is a prominent keynote speaker and co-author of three books: Ensemble Methods in Data Mining, Practical Text Mining, and The Handbook of Statistical Analysis and Data Mining Applications.
His company specializes in advanced analytics, image recognition, text mining, and biometrics applications for investment, commercial, and security purposes.
He teaches data mining optimization as an adjunct professor at the University of Virginia.
- Fei-Fei Li(@drfeifei)
Li is a pioneer in the fields of artificial intelligence, machine learning, and cognitive neuroscience. He is also co-director of Stanford’s Human-Centered AI Institute.
She has authored over 180 peer-reviewed publications, making her a prolific writer and researcher.
In 2007, as an assistant professor at Princeton University, she directed a team of researchers to develop the ImageNet project, a huge visual database to be utilized with software that identifies visual objects.
Following this top data scientist in the world would help you collect more important information.
- Hilary Mason (@hmason)
Mason was the head scientist at Bitly for four years before starting Fast Forward Labs.
She co-founded HackNY, serves on the board of the Anita Borg Institute for Women and Technology, and is a member of the Brooklyn hacking collective NYCResistor.
- Bernard Marr (@BernardMarr)
Marr is a futurist, author, keynote speaker, and strategic counselor to governments and corporations on data insights.
Several of the most well-known companies in the world seek his advice and coaching. LinkedIn ranked him as the top influencer in the UK and in the top five business influencers globally.
In addition to writing numerous books and articles, he also contributes to the World Economic Forum. One of his publications is “Big Data: Using SMART Big Data, Analytics, and Metrics to Make Better Decisions and Improve Performance.”
- Kenneth Cukier (@kncukier)
Cukier serves as The Economist’s data editor and also co-wrote “Big Data: A Revolution That Will Transform How We Live, Work, and Think.”
Frequently featured on the BBC, CNN, and NPR, Cukier is a well-known speaker and a member of the World Economic Forum’s council on data-driven development. He worked as a research fellow at Harvard’s Kennedy School of Government from 2002 to 2004. In addition, he works as an AI researcher at Oxford’s Saïd Business School as a fellow.
- Andrew Ng (@AndrewYNg)
Also, the founder of deeplearning.ai, Ng, has served as the chief scientist at Baidu Research and an adjunct professor at Stanford University. He is the founder and chairman of the board at Coursera, which is why he’s a trusted person in online education.
He was the driving force behind the creation of the Google Brain project, which produced sophisticated artificial neural networks — one of which could identify cats in films on its own. He has published extensively in machine learning and other domains, with a focus on deep learning.
Conclusion
The above-mentioned data scientists are not just leaders in their specific fields but also actively participate in the worldwide data science community on Twitter.
You may access a plethora of information, remain abreast of the newest trends, and be inspired by the innovative applications of data science by subscribing to their feeds.
Make sure you follow these data wizards on Twitter and start exploring the field of data science with a never-ending learning curve.