Neo4j’s Post

Continuous learning is essential. That’s why I’m excited to share I’ve earned my Create Image Captioning Models Badge #GoogleCloudSkillsBoost #GoogleCloudLearning #GoogleCloudBadge

🤔 Did you know there is a lot of resources on our Capella website? ☀️ Summer is the perfect time for training: tutorials, readings, and videos. With fewer people in the office, there are fewer distractions, providing more time for deep learning and full concentration! ➡️ Check it out here: https://lnkd.in/eKfEPGaM #mbse #syseng #capella #systemengineering

Andrej's Advice for Machine Learning Andrej Karpathy is an AI legend - Stanford professor, teaching the incredibly popular course CS 231n - Convolutional Neural Networks for Visual Recognition, founding member of OpenAI, Tesla AI Director, and now back to OpenAI. In addition to all of these incredible achievements, Andrej has created tons of great AI videos to help others. This is a great short interview of Andrej by Lex Fridman (another AI legend) on what it takes to be great at machine learning. Here are some key takeaways: 1. If you want to be good - spend 10,000 hours at it 2. Don't compare yourself to others - look at where you were 1 year ago (are you a better version of you) 3. Focus on working - what you've done lately It was great to hear how Andrej loves happy humans (versus the act of teaching). He also highlighted how it takes 10 hours to get 1 hour of useable teaching content. For anyone that has watched his videos, it's encouraging to know they aren't all done in one take. His parting comments on how teaching challenges you and strengthens your ability should encourage us all to teach others. Explaining concepts to others highlight our own gaps in knowledge. Thanks to Andrej, Lex, and everyone else (including Andrew Ng) for everything they do to help those of us that want to learn more about all things AI. I may not have gone fully from zero to hero over the last year, but I'm building up towards 10,000 hours. Some of Andrej's Videos: ▪ Intro to Large Language Models https://lnkd.in/e4Vd9biS ▪ Neural Networks: Zero to Hero: https://lnkd.in/g66N2ZA8 Andrej's YouTube Channel: https://lnkd.in/efhRNUVt Andrej on Twitter: https://lnkd.in/e6NardMf Great recent quote (partial): # On the "hallucination problem" I always struggle a bit with I'm asked about the "hallucination problem" in LLMs. Because, in some sense, hallucination is all LLMs do. They are dream machines. Full tweet here: https://lnkd.in/eWNsjHVp #MachineLearning #AI

Advice for machine learning beginners | Andrej Karpathy and Lex Fridman Machine Learning expert Lex Fridman shares valuable insights for beginners. His advice emphasizes the importance of dedication, learning from mistakes, and embracing the journey. 🔑 Key Takeaways: 1. Focus on *how much* you learn, not just *what* you learn. 2. Embrace the learning curve - mistakes are part of the process. 3. Consistent, deliberate effort is the key to expertise. 4. Don't compare yourself to others; focus on personal growth. 5. Iteration and learning from mistakes are invaluable. 6. Practice regularly and build a strong foundation. 7. Seek feedback and learn from the community. 8. Explore diverse machine learning topics. 9. Stay updated with the latest trends and research. 10. Teaching is a powerful way to deepen your understanding. 11. Enjoy the journey, stay curious, and apply your knowledge. 12. Build a portfolio of projects to showcase your skills. 13. Connect with the machine learning community. 14. Always practice responsible AI and ethical considerations. Starting your machine learning journey can be challenging, but remember that it's a rewarding adventure. Stay patient, committed, and curious. 🌟 #MachineLearning #AI #DataScience #CareerAdvice #ContinuousLearning https://lnkd.in/dwPNjTza

Check out our recent video on abductive learning. #machinelearning #neurosymbolic #AI

#day7 of learning dsa focusing on deep concepts of recursion with the subsequence problem -> perfect subsequence sum

Continuous learning is essential. That’s why I’m excited to share I’ve earned my Vector Search and Embeddings Badge #GoogleCloudSkillsBoost #GoogleCloudLearning #GoogleCloudBadge

Completing an artificial intelligence fundamental course is a commendable achievement! It shows that you have a strong interest in this rapidly evolving field and a desire to understand its fundamental concepts. It suggests that you may have gained knowledge about various AI techniques, applications, and their underlying principles. Continuing to explore and apply your knowledge in practical scenarios will further enhance your understanding and skills in artificial intelligence. Keep up the great work!

Reinforcement Learning represents the idea of learning from past experiences.   It is a type of Machine Learning where an agent learns to make decisions by interacting with an environment, receiving feedback in the form of rewards or penalties for its actions. With each interaction, the agent accumulates knowledge and refines its decision-making process. Even if it needs to start over, it does so armed with the lessons learned from previous experiences. This iterative learning process enables the agent to continuously improve its decisions over time. So, whatever holds true for Reinforcement Learning also holds true for life. The knowledge gained from past experiences serves as a solid foundation for future endeavors. So keep learning! #machinelearning #edtech #learningwithtechnology #datascience #computerscience #research

This session provides the basic concepts how AI works !