Innnovation Weekly Podcast: March 2024 - 1

Innnovation Weekly Podcast: March 2024 - 1

Innovation Weekly Podcast: Feb 2024

Innovation Weekly Podcast: Feb 2024

Podcast with Harshavardhan Sundar, Amazon Researcher in AGI, History & Current state of the Art AI

Podcast with Harshavardhan Sundar, Amazon Researcher in AGI, History & Current state of the Art AI

Euprime Podcast - Jason Dou, Harvard PostDoc in Machine learning & member of Harvard Innovation Labs

Euprime Podcast - Jason Dou, Harvard PostDoc in Machine learning & member of Harvard Innovation Labs

ML/AI: Definition of Periodic & Aperiodic State & its theorem, Markov Chains

ML/AI: Definition of Periodic & Aperiodic State & its theorem, Markov Chains

ML/AI: Definition of equivalence relation and its derivation

ML/AI: Definition of equivalence relation and its derivation

ML/AI: Theorem of equivalence relation and its explanation

ML/AI: Theorem of equivalence relation and its explanation

ML/AI: Examples of equivalence relation

ML/AI: Examples of equivalence relation

ML/AI: Conclusion of equivalence relation theorem

ML/AI: Conclusion of equivalence relation theorem

ML/AI: Chapman Kolmogorov Theorem

ML/AI: Chapman Kolmogorov Theorem

ML/AI: Markov Chains

ML/AI: Markov Chains

ML/AI: Finite State Markov Chains with examples

ML/AI: Finite State Markov Chains with examples

ML/AI: Finite & infinite Automata Markov Chains

ML/AI: Finite & infinite Automata Markov Chains

ML/AI: Stationary Gaussian Process, Stationarity

ML/AI: Stationary Gaussian Process, Stationarity

ML/AI: Continuous time Gaussian process

ML/AI: Continuous time Gaussian process

ML/AI: Stationary Gaussian Process

ML/AI: Stationary Gaussian Process

ML/AI: Gaussian Sinc Process, Band-Limited Signal

ML/AI: Gaussian Sinc Process, Band-Limited Signal

ML/AI: Example of a stationary process

ML/AI: Example of a stationary process

ML/AI: Covariance Matrix

ML/AI: Covariance Matrix

ML/AI: How stationary processes are useful

ML/AI: How stationary processes are useful

ML/AI- Gauss Markov Process

ML/AI- Gauss Markov Process

ML/AI: Construct Gaussian Stochastic process

ML/AI: Construct Gaussian Stochastic process

ML/AI: Orthonormal

ML/AI: Orthonormal

ML/AI : Gaussian Process

ML/AI : Gaussian Process

ML/AI: Covariance Function

ML/AI: Covariance Function

ML/AI: Conditional Density of Gaussian Random Variable

ML/AI: Conditional Density of Gaussian Random Variable

Let V be vector space for all functions f from ℝ to ℝ, which of the following are subspace of V?

Let V be vector space for all functions f from ℝ to ℝ, which of the following are subspace of V?

Show the following-

Show the following-

For set of all nxn real matrices, verify if TrAQB forms an inner product. (Q=+semidefinite matrix)

For set of all nxn real matrices, verify if TrAQB forms an inner product. (Q=+semidefinite matrix)

Find q1, q2, q3 (orthonormal) from a, b, c (columns of A)

Find q1, q2, q3 (orthonormal) from a, b, c (columns of A)