Prepare Your Data for Machine Learning Success
Data never actually arrives in the exact perfect form you want it to, so you need data pipeline...
TensorFlow: Normalizing Flow Models
Generative models are a kind of statistical model that aims to learn the underlying data distribution itself. If a generative...
My #108 certificate from Coursera
Google Cloud Big Data and Machine Learning FundamentalsGoogle What comes to your mind when you see the words...
Understanding Your Machine Learning Problems and Data
Recall in a previous course, we have introduced the Machine Learning Process Lifecycle (MLPL), simply put there are...
TensorFlow: Probabilistic Deep Learning Models
Unfortunately, deep learning models aren’t always accurate, especially when asked to make predictions on new data points that are dissimilar to the...
Google Cloud Big Data and Machine Learning Fundamentals
This course provides an introduction to the tools and technologies Google Cloud offers to work with large data sets...
My #105 course certificate from Coursera
Artificial Intelligence on Microsoft AzureMicrosoft It was about 20 year ago, my first certificate in my career life...
Distribution Objects in TensorFlow Probability
We’ll be making extensive use of the TensorFlow Probability library to help us develop probabilistic deep learning models. The...
My #99 course certificate from Coursera
Customising Your Models with TensorFlow 2Imperial College London I highly recommend this course to everyone who is willing...
Customizing Models, Layers and Training Loops
Subclassing Models The model subclassing and custom layers give you even more control over how the model is...
Sequential Data and Recurrent Neural Networks
Sequential data is data that has a natural sequential structure built into it, like text data or audio...
My #97 course certificate from Coursera
Introduction to Recommender Systems: Non-Personalized and Content-BasedUniversity of Minnesota In modern society, the recommender systems are everywhere and...
Content-Based Recommenders
The content-based approaches to recommendation include: Pure information filtering systems build profiles of content preference Case-based reasoning systems...
Keras and Tensorflow Datasets
Data pipelines are for loading, transforming, and filtering a wide range of different data for use in your...
The Keras Functional API
The reason you might want to use the Functional API (instead of the Sequential API) is if you...