Rudy's HangoutinRoy M. AvilaThe Quest for Ideal Money in the Digital Age: Can Game Theory Help Us Understand Bitcoin’s Future?The ideal form of money should be durable, divisible, portable, scarce, and hold steady value — a challenge in the digital age. With its…Jun 27
Sachin DateinTowards Data ScienceStatistical Convergence and its ConsequencesA story about convergence of random variables set within the extraordinary voyage of the NimrodMay 152
Wei Hao KhoonginCodeXWhy Scaling Your Data Is ImportantA toy case with linear/logistic regressionJan 21, 20231Jan 21, 20231
Akshansh MishrainArtificial Intelligence in Plain EnglishNewton Raphson Method in Machine LearningThe Newton-Raphson method is a well-known optimization algorithm that is commonly used in machine learning. This method can be used to find…Feb 2, 2023Feb 2, 2023
Chanchala GoraleLinear regression, convergence, cost function, and gradient descent in MLLinear regression, convergence, cost function, and gradient descent are foundational concepts in machine learning, particularly in…Jun 9Jun 9
Rudy's HangoutinRoy M. AvilaThe Quest for Ideal Money in the Digital Age: Can Game Theory Help Us Understand Bitcoin’s Future?The ideal form of money should be durable, divisible, portable, scarce, and hold steady value — a challenge in the digital age. With its…Jun 27
Sachin DateinTowards Data ScienceStatistical Convergence and its ConsequencesA story about convergence of random variables set within the extraordinary voyage of the NimrodMay 152
Wei Hao KhoonginCodeXWhy Scaling Your Data Is ImportantA toy case with linear/logistic regressionJan 21, 20231
Akshansh MishrainArtificial Intelligence in Plain EnglishNewton Raphson Method in Machine LearningThe Newton-Raphson method is a well-known optimization algorithm that is commonly used in machine learning. This method can be used to find…Feb 2, 2023
Chanchala GoraleLinear regression, convergence, cost function, and gradient descent in MLLinear regression, convergence, cost function, and gradient descent are foundational concepts in machine learning, particularly in…Jun 9
Dr. Alex Liu, a thought leader in data and AIAI Leading the Charge Towards a Unified Theory through Interdisciplinary ConvergenceIn the past, I wrote “Fusing AGI, Theory of Everything, and Ancient Wisdom: The Path to Universal Understanding” and “A New Scientific…May 25
Nash TUADS Convergence Issue: Internal Timestep too SmallIt is often to get notified “Internal Timestep too small” while running Time Domain simulation. It it due to circuit simulator fails to…Jun 27, 2023
