My 136th certificate from Coursera
DevOps, DataOps, MLOps Duke University If you are kinda fed up with training models and would like to...
Introduction to MLOps
You probably have known the DevOps methodology which is very commonly used in the software industry, which basically...
My 135th certificate from Coursera
Python Essentials for MLOps Duke University You will learn a lot from this course: Python language itself, PyTest...
My 9th specialization certificate from Coursera
Machine Learning: Algorithms in the Real World Alberta Machine Intelligence Institute It is really an exciting journey! This...
My 122nd certificate from Coursera
Optimizing Machine Learning Performance Alberta Machine Intelligence Institute In the real world, the journey to a successful machine...
Post-Deployment of Machine Learning Models
Integrating Machine Learning Systems Issues arise from putting your machine learning model into a real life system. To...
Machine Learning: Readiness, Responsibility and Regulatory Concerns
Although many organizations recognize the importance of machine learning for making the most of their businesses, very few...
My #118 certificate from Coursera
Probabilistic Deep Learning with TensorFlow 2Imperial College London The focus of this course is the TensorFlow Probability library....
Variational Autoencoders
The Variational Autoencoder (VAE) is an algorithm for inference and learning in a latent variable generative model. In...
My #114 certificate from Coursera
Data for Machine LearningAlberta Machine Intelligence Institute Do you agree that the skills of manipulating data is more...
Bad Data in Machine Learning
There are many ways that data can go wrong, sometimes through no fault of its own. Imbalanced Data...
Building Good Features for Machine Learning
Having a deep understanding of data is an essential prerequisite for doing EDA (Exploratory Data Analysis) as well...
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...