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Richard Hamming dropping absolute gems

What if your biggest failure could be the start of your greatest success? Richard Branson’s life proves that failure isn’t the end—it’s a stepping stone. Born in 1950, Branson struggled with dyslexia, making school hard. But instead of letting it

Richard Feynman was a brilliant physicist, but he faced many challenges. His unique way of thinking didn't always fit with the traditional academic world, causing difficulties in his career. Despite these struggles, he made significant contributions

Founder Brand Moat: Leveraging a founder's reputation to build trust and loyalty. 🚀 Tesla thrives on Elon Musk's influence, Amazon benefits from Jeff Bezos' leadership and Virgin embodies Richard Branson's adventurous spirit A strong founder brand c

Some tips to Sharpen Your analytical Thinking: 🤔💭 1. Use the 80/20 Rule: Identify the 20% of activities that lead to 80% of your results. 2. Master learning with the Feynman Technique: Teach others, identify gaps, & simplify. 3. "You must not fo

📉 The Fall of Richard Fuscone: A Lesson in Financial Risk Richard Fuscone, a former Vice Chairman at Merrill Lynch and Harvard graduate, was once celebrated for his brilliance in investment banking. However, his story is a cautionary tale of financ

Today, Shark Tank India have almost become a PR show where the primary motive of the sharks is simply to earn fame, which promotes their companies for free. Similar to how Elon Musk and Richard Branson's personal lives add huge value to their brands

My book review for one of the best books I read in this year. A detailed insight on unconventional economies, how economies rise up or fail, pivot from the lows and rising high. Highly recommend this book for curious on how economies work or fail, ou

Did you know? Richard Branson's personal brand was built on PR stunts - like attempting to fly around the world in a hot air balloon. 🎈 ✨ Oprah Winfrey's authenticity built her billion-dollar empire. 💡 Elon Musk's Twitter presence adds billions

AI Resources for Beginners Books: 1. Deep Learning. Illustrated Edition. Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2. Mathematics for Machine Learning. Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. 3. Reinforcement learning, An Introd