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Alexis Alulema

software developer & machine learning engineer

Tag: Machine Learning

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 … More

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 … More

Data Science, Linear Regression, 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 … More

Linear Regression, 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 … More

Linear Regression, 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 … More

loss function, 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 … More

loss function, 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 … More

Machine Learning, Python, TensorFlow

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Contact Info

Skype: alexis.alulema
contact@alexisalulema.com
Colombia
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