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Showing posts from January, 2019

Keras Explained

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"Adversarial Machine Learning" with Ian Goodfellow

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What is R-Squared?

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Introduction to Deep Learning with Keras and Tensorflow || Rodrigo Agundez

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Machine Learning Tutorial Python - 4: Gradient Descent and Cost Function

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Machine Learning with Scikit-Learn and Xgboost on Google Cloud Platform ...

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Principal Component Analysis (PCA)

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Deep Learning(CS7015): Lec 6.4 Principal Component Analysis and its Inte...

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Principal Component Analysis (PCA): An introduction for non-specialists-...

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Principal Component Analysis (PCA)

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ROC and AUC, Clearly Explained!

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PCA algorithm step by step with python code

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Applied AI Course: Productionization and deployment of Machine Learning ...

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Illustrated Guide to Recurrent Neural Networks: Understanding the Intuition

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1.8.1 Asymptotic Notations Big Oh - Omega - Theta #1

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Big-O notation in 5 minutes — The basics

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Amazing Way to Graph the Gradient Function (Derivative)

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Deep Learning Basics: Introduction and Overview - MIT

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Sentry Introduction

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Install and Configure Cloudera Manager

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Gradient Descent Vs Ordinary Least Square (OLS) estimation

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How to find the best model parameters in scikit-learn

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Decision Tree Important Points ll Machine Learning ll DMW ll Data Analyt...

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Support Vector Machine (SVM) - Fun and Easy Machine Learning

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Machine Learning Tutorial Python - 9 Decision Tree

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Model Evaluation: Introduction to the Cross Validation and Hold-out methods

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Let’s Write a Decision Tree Classifier from Scratch - Machine Learning R...

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Let’s Write a Decision Tree Classifier from Scratch - Machine Learning R...

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Deep Learning Prerequisites: The Numpy Stack in Python

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Four Types Of Cross Validation| K-Fold | Leave One Out |Bootstrap | Hold...

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Scikit Learn Cross Validation

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Deep Learning: What is it good for? - Prof. Ankit Patel - Rice University

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Machine Learning Tutorial - Parameter Tuning with Python and scikit-learn

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Machine Learning Tutorial Python - 5: Save Model Using Joblib And Pickle

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Machine Learning Fundamentals: Bias and Variance

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Learning To See [Part 9: Bias Variance Throwdown]

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Diagnosing Bias vs Variance

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What is Bias variance Dilemna Learn in hindi

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How to do a linear regression on excel

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Gradient descent, how neural networks learn | Deep learning, chapter 2

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Regression I: What is regression? | SSE, SSR, SST | R-squared | Errors (...

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Neural Networks Demystified [Part 2: Forward Propagation]

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Activation Functions in a Neural Network explained

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Standard Error of the Mean

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