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Alexis Alulema

software developer & machine learning engineer

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Tag: Python

March 26, 2018 Machine Learning / Python / TensorFlow

TensorFlow High-Level Libraries: TF Estimator

TensorFlow has several high-level libraries allowing us to reduce time modeling all with core code. TF Estimator makes it simple

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February 6, 2018 Machine Learning / Python / TensorFlow

TensorFlow Way for Linear Regression

In my two previous posts, we saw how we can perform Linear Regression using TensorFlow, but I’ve used Linear Least

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January 20, 2018 Machine Learning / Python / TensorFlow

Cholesky Decomposition for Linear Regression with TensorFlow

Although Linear Least Squares Regression is simple and precise, it can be inefficient when matrices get very large. Cholesky decomposition

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January 18, 2018 Machine Learning / Python / TensorFlow

Linear Least Squares Regression with TensorFlow

Linear Least Squares Regression is by far the most widely used regression method, and it is suitable for most cases

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December 15, 2017 Machine Learning / Python / TensorFlow

Classification Loss Functions (Part II)

In my previous post, I mentioned 3 loss functions, which are mostly intended to be used in Regression models. This

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December 7, 2017 Machine Learning / Python / TensorFlow

Loss Functions (Part 1)

Implementing Loss Functions is very important to machine learning algorithms because we can measure the error from the predicted outputs

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October 10, 2017 Machine Learning / Python / TensorFlow

Declaring tensors in TensorFlow

[Requirement: Tensorflow and NumPy installed on Python +3.5] [Requirement: import tensorflow as tf] [Requirement: import numpy as np] Tensors are

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Skype: alexis.alulema
Email: alexis.alulema@gmail.com
Envigado, Colombia
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