Machine Learning courses

4.48

This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data...

This course introduces students to the areas involved in topic modeling: preparation of corpus, fitting of topic models using Latent Dirichlet Allocation algorithm (in package topicmodels), and visualizing the results using ggplot2 and wordclouds.

4.76

Formalize problems as Markov Decision Processes Understand basic exploration methods and the exploration / exploitation tradeoff Understand value functions, as a general-purpose tool for optimal decision-making Know how to implement dynamic programm...

4.62

In this first course of the AI Product Management Specialization offered by Duke University's Pratt School of Engineering, you will build a foundational understanding of what machine learning is, how it works and when and...

4.27

This is the first course of a six part specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course...

4.7

Handle real-world image dataPlot loss and accuracyExplore strategies to prevent overfitting, including augmentation and dropoutLearn transfer learning and how learned features can be extracted from models

4.59

An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototy...

This is your chance to dive into the worlds of marketing and business analytics using R. Day by day, there are a multitude of decisions that companies have to face. With the help of statistical...

3

1. Markov Chain Monte Carlo algorithms2. Implementing the above in Python3. Assess the performance of Bayesian models

4.42

Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this beginner-friendly course, you...

If you're working with a lot of text, you'll eventually want to know more about it. For example, what's it about? What do the words mean in context? Who is doing what to whom? What...

4.39

Breast Imaging; AI Processing Paradigm; Performance Assessment Metrics

UPDATE: We’ve moved other NLP content to the new Skill Path. Why learn NLP? From your virtual assistant recommending a restaurant to that terrible autocorrect you sent your parents, natural language processing (NLP) is a...

Every day you read about the amazing breakthroughs in how the newest applications of machine learning are changing the world. Often this reporting glosses over the fact that a huge amount of data munging and...

4.59

Compare static vs. dynamic training and inferenceManage model dependenciesSet up distributed training for fault tolerance, replication, and moreExport models for portability

4.88

In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the...

Have you ever tried to predict the future? What lies ahead is a mystery which is usually only solved by waiting. In this course, you will stop waiting and learn to use the powerful ARIMA...

4.69

Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what...

4.8

In this course, you will learn how to solve problems with large, high-dimensional, and potentially infinite state spaces. You will see that estimating value functions can be cast as a supervised learning problem-function approximation-allowing you...

4.42

Identify responsible data collection for building a fair ML production system. Implement feature engineering, transformation, and selection with TensorFlow ExtendedUnderstand the data journey over a production system’s lifecycle and leverage ML meta...