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Certify Your Skills, Revitalize Your Career

GPT stands for generative pretrained transformers. It is a type of language model which has been trained on...

DevOps, DataOps, MLOps Duke University If you are kinda fed up with training models and would like to...

You probably have known the DevOps methodology which is very commonly used in the software industry, which basically...

Python Essentials for MLOps Duke University You will learn a lot from this course: Python language itself, PyTest...

Machine Learning: Algorithms in the Real World Alberta Machine Intelligence Institute It is really an exciting journey! This...

Optimizing Machine Learning Performance Alberta Machine Intelligence Institute In the real world, the journey to a successful machine...

Integrating Machine Learning Systems Issues arise from putting your machine learning model into a real life system. To...

Although many organizations recognize the importance of machine learning for making the most of their businesses, very few...

Probabilistic Deep Learning with TensorFlow 2Imperial College London The focus of this course is the TensorFlow Probability library....

The Variational Autoencoder (VAE) is an algorithm for inference and learning in a latent variable generative model. In...

Data for Machine LearningAlberta Machine Intelligence Institute Do you agree that the skills of manipulating data is more...

There are many ways that data can go wrong, sometimes through no fault of its own. Imbalanced Data...

Having a deep understanding of data is an essential prerequisite for doing EDA (Exploratory Data Analysis) as well...

Data never actually arrives in the exact perfect form you want it to, so you need data pipeline...

Generative models are a kind of statistical model that aims to learn the underlying data distribution itself. If a generative...

Andrew Ng Anna Koop Brenda Gunderson Computer Communications Specialization Cryptography Differential Equations for Engineers Economics of Money and Banking Evgenii Vashukevich Foundations of Quantum Mechanics Garud Iyengar Ivan Vybornyi Jeffrey Chasnov John Daily Jonathan Katz Kevin Webster Ling-Chieh Kung Machine Learning: Algorithms in the Real World Martin Haugh Mathematics for Engineers Specialization Matthew Hutchens Michael Donohoe Michael Fricke Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization Operations Research (3): Theory Perry Mehrling Petro Lisowsky Physical Basics of Quantum Computing Practical Reinforcement Learning Rebekah May Search Engine Optimization (SEO) Specialization Sergey Sysoev Statistical Thermodynamics Specialization Statistics with Python Specialization Taxation of Business Entities I: Corporations TensorFlow 2 for Deep Learning Specialization U.S. Federal Taxation Specialization Understanding Modern Physics I: Relativity and Cosmology Wounjhang Park Xiaobo Zhou Yi Wang

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