What you'll learn Understand the theory behind principal components analysis (PCA) Know why PCA is useful for dimensionality reduction, ...
What you'll learn Understand and apply transfer learning Understand and use state-of-the-art convolutional neural nets such as VGG, ResNet ...
What you'll learn Build a text classification system (can be used for spam detection, sentiment analysis, and similar problems) Build a ...
What you'll learn How to setup and use the OpenAI API with ChatGPT How to effectively use prompt engineering RAG ...
What you'll learn program logistic regression from scratch in Python describe how logistic regression is useful in data science ...
What you'll learn Use adaptive algorithms to improve A/B testing performance Understand the difference between Bayesian and frequentist ...
You’ll Learn How to: Develop and implement precise recommendation systems for your users using both simple and cutting-edge algorithms. Perform big ...
Best Deep Learning Courses on Udemy Best Deep Learning Courses on Coursera Best Data Science Courses on Udemy Best Data Science Courses on Coursera ...
Best Python Courses on Udemy Best Python Courses on Coursera Best Python Courses on Udacity Best Python Courses on FutureLearn Best Python Courses on ...
Best Machine Learning Courses on Udemy Best Machine Learning Courses on Coursera Best Machine Learning Courses on Udacity Best Machine Learning Courses ...
Best Machine Learning Courses on Udemy Best Machine Learning Courses on Coursera Best Machine Learning Courses on Udacity Best Machine Learning Courses ...
What you'll learn Understand and enumerate the various applications of Markov Models and Hidden Markov Models Understand how Markov ...
What you'll learn Understand the regular K-Means algorithm Understand and enumerate the disadvantages of K-Means Clustering ...
