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...
My #94 course certificate from Coursera
Machine Learning Algorithms: Supervised Learning Tip to TailAlberta Machine Intelligence Institute There are many other courses that teach...
Regression and Classification Model Assessment
Let’s take a look at how the performance of regression and classification models can be quantified so that...
Logistic Regression & Support Vector Machines
Often, some of the “shifts” we need to make when we’re using regression based approaches for classification. There...
Linear Regression
Recall that the concept of hypothesis spaces is a collection of hypotheses that might answer a particular question, and learning...
Classification: Decision Trees and k-Nearest Neighbours
Classification Basics Machine learning uses learning data and learning algorithms to produce a model (or Question Answering Machine,...
My #67 course certificate from Coursera
Getting started with TensorFlow 2Imperial College London Wow this is a wonderful course on Tensorflow! The professor and...