Mukesh MithrakumarinTowards Data ScienceHow to tune a Decision Tree?Hyperparameter tuningNov 11, 20199Nov 11, 20199
Mukesh MithrakumarCommon Probability Distributions with Tensorflow 2.0This is an extract from Chapter 3 Section 9 of Deep Learning with Tensorflow 2.0 book.Jul 2, 2019Jul 2, 2019
Mukesh MithrakumarProbability Distributions with Tensorflow 2.0This is an extract from Chapter 3 Section 3 of Deep Learning with Tensorflow 2.0 book.Jun 30, 2019Jun 30, 2019
Mukesh MithrakumarInformation Theory with Tensorflow 2.0This is an extract from Chapter 3 Section 13 of Deep Learning with Tensorflow 2.0 book.Jun 28, 2019Jun 28, 2019
Mukesh MithrakumarWhat is a Random Variable?This is an extract from Chapter 3 Section 2 of Deep Learning with Tensorflow 2.0 book.Jun 26, 2019Jun 26, 2019
Mukesh MithrakumarWhy Probability for Deep Learning?This is an extract from Chapter 3 Section 1 of Deep Learning with Tensorflow 2.0 book.Jun 24, 2019Jun 24, 2019
Mukesh MithrakumarHere’s Everything you need to know about Facebooks’ Cryptocurrency LibraThis is a summary of the 29 page Libra whitepaper released today (Tuesday18th) by Facebook.Jun 18, 2019Jun 18, 2019
Mukesh MithrakumarSingular Value Decomposition with Tensorflow 2.0This is an extract from Chapter 2 Section Eight of Deep Learning with Tensorflow 2.0 book.May 31, 2019May 31, 2019
Mukesh MithrakumarPrincipal Component Analysis with Tensorflow 2.0This is an extract from Chapter 2 Section twelve of Deep Learning with Tensorflow 2.0 book.May 29, 2019May 29, 2019
Mukesh MithrakumarThe Moore-Penrose Pseudoinverse with Tensorflow 2.0This article is an extract from Chapter 2 Section nine of my Deep Learning with Tensorflow 2.0 book.May 28, 2019May 28, 2019
