10 Data Science Influencers to Follow on Social Media

10 Data Science Influencers to Follow on Social Media

Data science is an ever-growing field, and staying up to date with the latest trends and techniques is crucial for success. Following influential people on social media is a great way to stay informed and get insights from experts in the field. In this blog, we will introduce you to 10 data science influencers you should be following on social media.

  1. Hilary Mason (@hmason) - Hilary is the founder of Fast Forward Labs, a machine intelligence research company. She is an expert in data science and regularly posts on Twitter and LinkedIn about new developments in the field.

  2. Kirk Borne (@KirkDBorne) - Kirk is a Principal Data Scientist at Booz Allen Hamilton and a professor of astrophysics and computational science at George Mason University. He is a prolific blogger and tweeter and is known for his insights into data science and astronomy.

  3. Monica Rogati (@mrogati) - Monica is a data science advisor and angel investor. She is a thought leader in the field of big data and has worked with companies like Jawbone, LinkedIn, and Jawbone.

  4. Cassie Kozyrkov (@quaesita) - Cassie is the Chief Decision Scientist at Google Cloud and a renowned speaker on data science. She shares insights on Twitter and LinkedIn about machine learning, AI, and decision making.

  5. Jeremy Howard (@jeremyphoward) - Jeremy is a co-founder of fast.ai and a leading voice in the field of deep learning. He shares insights and tutorials on Twitter and LinkedIn about machine learning, deep learning, and computer vision.

  6. Vincent Granville (@granvilleDSC) - Vincent is a data science expert and a pioneer in the field. He is the founder of Data Science Central, a leading online community for data science professionals. Vincent shares insights on Twitter and LinkedIn about data science, machine learning, and artificial intelligence.

  7. Kaggle (@kaggle) - Kaggle is an online community for data scientists and machine learning practitioners. They regularly share insights and tutorials on Twitter about machine learning competitions, datasets, and trends in the field.

  8. Rachel Thomas (@math_rachel) - Rachel is the co-founder of fast.ai and a renowned data scientist. She shares insights on Twitter and LinkedIn about deep learning, machine learning, and AI.

  9. Andrew Ng (@AndrewYNg) - Andrew is a computer scientist and an AI pioneer. He co-founded Coursera, an online learning platform, and is a former vice president and chief scientist at Baidu. Andrew shares insights on Twitter and LinkedIn about machine learning, AI, and education.

  10. Yann LeCun (@ylecun) - Yann is a computer scientist and a leading expert in deep learning. He is the director of the AI Research Group at Facebook and a professor at NYU. Yann shares insights on Twitter and LinkedIn about deep learning, computer vision, and artificial intelligence.

By following these data science influencers, you can stay up to date with the latest trends and techniques in the field. You can learn from their insights and use their expertise to grow your own skills and knowledge.