You want to learn data science. Who are the experts you should follow?

To guide people in learning data science, I recommend following a diverse group of experts: Academics like Andrew Ng and Yann LeCun for foundational knowledge. Industry leaders such as Hilary Mason and DJ Patil for practical applications. Influencers in specialized fields, like Hadley Wickham in R programming. Voices in ethical AI, such as Joy Buolamwini. Platforms offering insights and trends, like Kaggle and Towards Data Science. This blend of theoretical, practical, and ethical expertise provides a well-rounded understanding of data science.

If you're looking to learn data science, following the work of several key experts in the field can be incredibly beneficial. Some of the notable data science experts to follow include: 1. Dr. Andrew Ng: A professor at Stanford University, he's a founder of Google Brain and Coursera 2. Dr. Cynthia Rudin: A professor at Duke University, 3. Fei-Fei Li: At Stanford University, she's known for her work in computer vision, artificial intelligence, 4. Yann LeCun: A Turing Award winner, he's Facebook’s chief AI scientist and a professor at New York University, 5. Kelsey Hightower: A principal developer at Google and a leading figure in the Kubernetes community, . 6. Merv Adrian: With over 30 years of experience in IT, he is th

Follow these experts: 1.Andrew Ng: Co-founder of Google Brain and Coursera, known for "Machine Learning" courses. 2.Yann LeCun: Chief AI Scientist at Facebook, a pioneer in deep learning. 3.Rachel Thomas: Co-founder of fast.ai, focuses on accessible deep learning. 4.Hadley Wickham: Renowned for R packages like ggplot2 and dplyr. 5.Cassie Kozyrkov: Chief Decision Scientist at Google, expert in data-driven decisions. 6.Kirk Borne: Data scientist and AI expert, shares knowledge on social media. 7.Jake VanderPlas: Python data science expert and author. 8.David Robinson: Data scientist at Stack Overflow, active in the R community. 9.Chris Albon: Author of "Machine Learning with Python Cookbook," shares practical tips.

Here are some names: India: 1. Dr. Ganesh Bagler 2. Prof. Balaraman Ravindran 3. Dr. Sriraam Natarajan 4. Dr. Sunita Sarawagi 5. Dr. CV Jawahar Other Countries: 1. Dr. Yann LeCun 2. Dr. Fei-Fei Li 3. Dr. Geoffrey Hinton 4. Dr. Cathy O'Neil 5. Dr. Hilary Mason

To excel in data science, I recommend following experts like Andrew Ng known for his foundational work and online courses. Kaggle Grandmasters like Abhishek Thakur provide practical insights. Statistician Nate Silver offers a data-driven approach and Rachel Thomas focuses on ethical AI. Blogs by Towards Data Science, Data Science Central and KDnuggets provide diverse perspectives. Engaging with these experts' content enhances knowledge and keeps you informed about the latest trends and techniques in data science.

When it comes to learning data science, there are various experts to follow. Andrew Ng is an incredible resource; his knowledge in the area, particularly in machine learning, is unsurpassed. Additionally, I highly recommend Zoomcamp for their great machine learning contents. Andrew Ng and Alexey Grigorev both offer important ideas and resources to help you succeed in data science.

Andrew Ng is a renowned computer scientist and AI researcher with significant contributions to data science. As a co-founder of Coursera, he has democratized education by offering online courses, including the popular "Machine Learning" course. Ng's expertise in machine learning, deep learning, and his role in leading Google Brain have influenced the field. Following him provides access to valuable insights, cutting-edge advancements, and educational resources, fostering a deep understanding of data science. Ng's commitment to making AI accessible makes him a guiding force for those entering the field, making following him a source of inspiration and knowledge for aspiring data scientists.

Meet Andrew Ng, the rockstar of machine learning! He co-founded Coursera and leads Google Brain, making him a big deal in the world of data science. His online courses, like "Machine Learning," are like magic spells that turn complex stuff into easy tunes. Millions have learned from him, and he's all about making AI education available to everyone. He's not just a teacher; he's a guide, helping folks navigate the fascinating world of machine learning. So, if you're into data science, following Andrew Ng is like having a superhero mentor!

Andrew Ng – the maestro of machine learning melodies! As a Coursera co-founder and Google Brain virtuoso, he orchestrates online courses that transform complex ML tunes into catchy beats. Whether you're a rookie or a pro, follow his groove to navigate the vast rhythm of machine learning.

Andrew Ng has left a lasting impact on machine learning and AI through his transformative contributions to education. His acclaimed online machine learning courses on Coursera have simplified complex concepts, educating millions globally. Personally, I consider Andrew Ng as my guide, having learned a significant portion of my machine learning knowledge through his courses. His exceptional commitment to teaching is evident in the quality and accessibility of his materials. The "AI for Everyone" course, designed for a non-technical audience, showcases Ng's dedication to addressing the societal implications of AI. His influence extends widely, making machine learning more accessible and valuable across diverse backgrounds.

Unleash the Magic of Data with Hilary Mason! As the GM for Machine Learning at Cloudera, she turns raw data into golden spells of business wisdom. Follow her enchanting journey through algorithms, data ethics, and AI strategy. Let's brew some data magic together!

Hilary Mason, a dynamic figure in the data science realm, wears many hats as a data scientist, entrepreneur, and investor. Founding Hidden Door, she steers a startup dedicated to crafting interactive experiences for both entertainment and education. Co-founding Fast Forward Labs, she contributes to the adoption of cutting-edge data science and machine learning in businesses. Beyond her ventures, Hilary Mason shares her creative insights and ideas generously through her blog, podcast, and social media, showcasing her passion for the field.

Hilary Mason, a data scientist and the founder of Fast Forward Labs, is known for her expertise in machine learning and artificial intelligence. As a former Chief Data Scientist at bit.ly, she has a wealth of experience in extracting meaningful insights from vast datasets. Following Hilary Mason offers exposure to cutting-edge advancements in data science, including applications of machine learning in various domains.

Prominent data scientist and entrepreneur Hilary Mason has made substantial contributions to the fields of artificial intelligence & data science. She is best known for being Chief Scientist of bit.ly & one of the founders of Fast Forward Labs. Mason has had significant impact on the IT industry & assisted many businesses in utilizing cutting-edge technology, particularly in the field of machine learning. Offering viewpoints on cutting-edge technology was main focus of her work at Fast Forward Labs & she has made major impact on the development of data science education. Mason's focus on using data to conduct insightful research & her contributions to comprehension & utilization of large datasets have had long-lasting effect on the field.

She's built companies from scratch, like Hidden Door, where she uses data to make learning and entertainment awesome (think interactive exhibits and such). She doesn't just crunch numbers in a lab. She thinks about how data can make a real difference in the world, whether it's making entertainment more engaging or helping businesses thrive. She loves sharing her knowledge! Her blog, podcast, and social media are treasure troves of insights and tips for aspiring data scientists like you and me. She's passionate about data, but she talks about it in a way that's clear and even fun. No jargon-filled lectures here!

He's basically the Godfather of Deep Learning. Remember all those mind-blowing things AI does with images and language? Yeah, he's one of the brains behind it. He works at the top of the AI game, leading the research at Facebook, where they're constantly pushing the boundaries of what's possible. His research isn't just cool science fiction, it's about building real-world applications of AI that make a difference. He believes in sharing knowledge, so most of his research is freely available, which is pretty awesome for us learners. He understands how AI fits into the broader world, thinking about the ethical and social implications of his work. He'll inspire you to think big & embrace the challenges of AI.

Yann LeCun is a renowned computer scientist and a pioneer in the field of deep learning. As the Chief AI Scientist at Facebook and a professor at NYU, LeCun has made groundbreaking contributions to convolutional neural networks (CNNs). Following him provides a deep understanding of the latest developments in deep learning, particularly its applications in computer vision and pattern recognition.

Yann LeCun is among the leading voices on Artificial Intelligence today. He has demonstrated foresight in the trends and challenges faced in the field. He oversaw the creation of the Center for Data Science, rightly anticipating the growing demand for data scientists in the years to come. During the same time, he joined the Fundamental AI Research lab at Meta, where he advocated for the importance of unsupervised and self-supervised learning paradigms, a decision that has had a tremendous influence on the direction of research in AI. A recipient of the Turing Award for "conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing", he is undoubtedly a data science expert you should follow.

Yann LeCun, a renowned computer scientist, is a pioneer in artificial intelligence. His pioneering work in deep learning and convolutional neural networks has had a significant impact on AI applications, notably in computer vision, including image and pattern recognition. LeCun, who holds significant positions at institutions such as New York University and Facebook, including Chief AI Scientist, links academia and industry, encouraging collaboration to speed AI research and practical applications. LeCun received the 2018 Turing Award for his accomplishments, and his ongoing, impactful research continues to change the area of AI, establishing his place as a pioneer in both invention and application.

Following Yann LeCun, Chief AI Scientist at Facebook and a deep learning pioneer, is highly beneficial for data science enthusiasts. His monumental contributions and insights into AI advancements offer a deep understanding of the field. Yann's expertise spans various AI applications, making his perspective invaluable for learners. His engaging discussions on artificial intelligence, neural networks, and machine learning provide a wealth of knowledge, making him a key figure to follow in the dynamic world of data science and AI.

Cassie Kozyrkov is a leading advocate for "Decision Intelligence," which goes beyond data science to encompass the entire decision-making process, including human biases, organizational context, and ethical considerations. Kozyrkov recognizes the limitations of purely technical solutions and stresses the importance of understanding human psychology and behavior in decision-making. She is recognized as a thought leader in the field of data science and decision intelligence. Her passion for making data science more accessible and inclusive inspires many individuals to pursue careers in this field.

As the chief decision scientist at Google, she's basically the data whisperer to one of the most successful tech companies on the planet. Talk about learning from the best! She's a passionate educator, teaching courses on data science, machine learning, and decision making at Google and Stanford. She knows how to translate complex topics into bite-sized nuggets for us mere mortals. She's also a prolific writer and speaker, sharing her insights and advice on her blog, podcast, and social media. You'll have a constant stream of data science goodness to keep you learning and growing. She doesn't just crunch numbers; she understands how to use data to make real-world decisions that drive business results.

Learn from andrew ng deep learning.ai or coursera, also you can consider kaggle to use the free resource available. To learn in depth learn from andrew ng course.

Certamente uma pesquisadora que merece nossa atenção. Recomendo fortemente segui-la no LinkedIn e no Medium. Suas publicações são interessantes, provocativas e inspiradoras.

Cassie Kozyrkov is the Chief Decision Scientist at Google, heading a team of experts focused on leveraging data and AI to enhance decision-making processes within the company. In her role, she plays a pivotal part in guiding Google toward more informed and effective decisions through the application of data science. Known for her expertise, Kozyrkov is not only an advisor but also an accomplished speaker and writer. She actively educates and empowers individuals to utilize data science and analytics in a meaningful and ethical manner. She has contributed significantly to the field, creating and teaching courses on data science, machine learning, and decision-making, both at Google and Stanford University.

Kirk Borne, an astrophysicist turned data scientist, is a respected name in the field. As a Principal Data Scientist at Booz Allen Hamilton, he specializes in data literacy, data mining, and machine learning. Following Borne provides a holistic view of data science, emphasizing the importance of storytelling, data ethics, and continuous learning.

Kirk Borne is a prominent figure in the fields of data science, astrophysics, and education. Currently serving as the Principal Data Scientist and Executive Advisor at Booz Allen Hamilton, a consulting firm specializing in solutions for government and industry clients, Borne contributes his expertise to various projects leveraging data and analytics for scientific discovery and societal benefits. In addition to his role in industry, Kirk Borne holds a position as a professor of astrophysics and computational science at George Mason University. In this academic capacity, he engages in teaching and research, focusing on topics such as data mining, machine learning, and big data.

Follow Kirk Borne for data brilliance. Principal data scientist at Booz Allen Hamilton, he unlocks insights for science and society. Professor at George Mason, he delves into data mining, machine learning, and big data. A prolific and passionate data scientist, he shares wisdom on his blog, Twitter, and LinkedIn. Join his data journey! 📊🌌 #DataScience

Kirk Borne is 🔝top influencer in Big Data, Data Science, 🤖 AI, IoT, and Machine Learning. He is also LikedIn 🔝 Top Voice and has over 83k followers on LinkedIn. He regularly posts on social media (LinkedIn and X - former Twitter) sharing the latest news about 🤖 AI, events, 📚 books, courses, and much more. The content that he shares is interesting for both aspiring and senior data professionals.

Dois nomes brasileiros que respeito muito e recomendo que você siga para aprender ciência de dados: - Teo Calvo - André Yukio

We all know about Andrew Ng. Apart from Andrew we can look for Daniel Bourke who is a machine learning expert and a youtube creator who has Machine learning and Deep learning courses in Udemy. Rachel Thomas, Co-founder of fast.ai, Rachel Thomas is known for her work in making deep learning and data science more accessible. Bernard Marr, who is an international best selling author, expert in AI, AR, VR, big data, robotics and machine learning.

Minha lista de profissionais incríveis em Estatística e Ciências de dados: - Luiz Paulo Fávero - Adriana Silva - Fernanda Maciel - Juliana Scudilho - Marcos Severo - Lilian Carvalho - Demétrius Malta - David Braga - Rami krispin - Hadley Wickham - Alex Souza - Marcos dos Santos

One of the experts I follow is Jason Brownlee. He is the author of many data science and machine learning books in different sectors. He helped me understand the imbalanced classification in which he explains with variety of tutorials using python to deal with such cases. Additionally, he also has published books to understand the mathematical problems in data science.

If you want to learn data science then you must follow these people: 1. Andrej Karpathy 2. Krish Naik 3. Alex Smola 4. Fei Fei Li 5. Jeremy Howard And good thing is that all of them are here on LinkedIn. There are other people also who post great content daily such as Alex Freberg, Akshay Pachaar, Zach Wilson, Vin Vashishtha, etc.