I often use this quote from Isaac Newton in my teaching.
AI is a vast and a complex subject. No matter how much you know – you realise that there is really a vast amount more to learn. So, my way of learning a subject as complex and dynamic as AI, is to share my insights. This helps me to refine my own thinking.
I also follow others who do.I shared this list with my students of 12 thought leaders on LinkedIn who are creating original content to learn Artificial Intelligence and Machine Learning. I hope you like it to and can learn from these influencers as I have also. This will be a living document, so if you can suggest others, please comment below or suggest to me and I shall update it.
Some comments on how I created this list
- I have included people who create original and authoritative content
- I have excluded people who share a lot of content from others – but do not create original work. Maybe that will be another list because such a list is also very useful to spot trends
- Obviously, the list is about Artificial Intelligence and Machine Learning – but it is also limited by my knowledge. For example, I no longer follow the R language. Hence, excludes people in that community (which I am happy to include based on comments)
- Many of these leaders are either teachers, authors or both.
- As far as I can see, they all have a genuine ethos to share, improve and upskill people and they all spend a lot of time sharing their work
- I have excluded myselves from this list ! although I come in the same criteria because the list is about people who I have learnt from
I have also excluded influencers who run communities or are very well known in the industry. I suspect, most people are already following them. So, the list does not include people below who I very much recommend that you follow (if you are not already)
- Kirk Borne – Principal Data Scientist & Data Science Fellow, an…
- Vincent Granville – Data Science Executive, Mathematician,
- Gregory Piatetsky-Shapiro – Data Scientist, KDnuggets President, s
- Kunal Jain – Founder & CEO at Analytics Vidhya.
So, here is the list of folks I have learnt from – and so can you
- Cassie Kozyrkov – Chief Decision Scientist at Google, Inc. – Cassie tirelessly spends time not only creating excellent work – but also attempting to translate it into multiple languages
- Rubens Zimbres, PhD – Senior Data Scientist: Machine Learning, NLP,… – Based out of Brazil, Rubens posts about data science – much of it related to maths.
- Andriy Burkov – ML at Gartner, author of The Hundred-Page Machine L… – Andriy is best known for this book – a version of which has always been available for free on the web. He is always generous with his insights and is now posting new books also in the public domain.
- Brandon Rohrer – Machine learning. Data Science. Teaching. Robotics. – I have followed Brandon since his days at Microsoft – then facebook and now iRobot. Brandon posts detailed insights both as articles and as videos.
- Matthew Mazur – Founder at Preceden and Alden Analytics – I recently connected with Matthew based on a post which explained the maths of back propagation. He also posts on a similar theme
- Chip Huyen – Machine learning | Open source | Storytelling | Linked… – I was introduced to Chip through a mutual friend when she was at Nvidia. I am a fan of her work which is both technically detailed but also includes her own quirky insights – and poetry even!
- Chanin Nantasenamat – Associate Professor and Head, Center of Data … – Like Chip, I got to know Chanin only recently. Based in Thailand – and with a background of Bioinformetics – Chanin creates mostly video content for his channel Data Professor on YouTube.
- Srivatsan Srinivasan – Chief Data Scientist – Srivatsan posts about AI Ops / ML Ops i.e. the whole pipeline for building and deploying models in production. That’s a subject I have also covered in my teaching.
- Sebastian Raschka – Assistant Professor of Statistics at University… – Sebastian’s book is well known in the industry. We also use it for teaching. His blog and twitter feed are also very detailed – even if you have not read the book
- Jason Brownlee – Making Developers Awesome at Machine Learning – Jason was one of the earliest people I followed. I bought his books and recommend them to others. He blogs a lot of his content which you can get just by following him.
- Antonio Gulli – Engineer Director, Office of CTO at Google – Antonio is a co-author of multiple books – many of which with Dr Amita Kapoor (below).
- Amita Kapoor – Author || AI/ML Consultant/Trainer || Mentor || – Amita is an author of multiple books and also shares her views. I have worked with Amita for a few years now and she is ever insightful and willing to help
Not so active on LinkedIn, but I recommend Chris Albon – his website Chris Albon is extensive and includes code in cookbook form which I like
To conclude, I believe that these thought leaders genuine care about the free flow of knowledge
- Andriy – with his free book
- Cassie – with her multi-lingual translations
- Brandon – who once posted about difficulties of AI content being accessible from all countries
If you know anyone else I should include based on the above criteria, please let me know
Ajit Jaokar is the course director for the Artificial intelligence: Cloud and Edge implementations course at the University of Oxford. The views expressed in this article are his own and do not belong to any organisation he is associated with. Except otherside stated above, he has no commercial association with any of the members in this list. Please follow Ajit Jaokar to stay in touch
Image source today in science – Isaac Newton Quotations