Below are the video training courses included in this Learning Path.
Hilary Mason: An Introduction to Machine Learning with Web Data
Presented by Hilary Mason2 hours 43 minutes
Wondering what to do with all the data you’ve accumulated through your web application? Begin your study of machine learning as bit.ly lead scientist Hilary Mason shows you how to solve data analysis problems using basic machine learning techniques and frameworks. Follow examples as you acquire skills for obtaining, cleaning, and exploring data to building a model and interpreting the results.
Hilary Mason: Advanced Machine Learning
Presented by Hilary Mason2 hours 13 minutes
In this step, bit.ly lead scientist Hilary Mason shows you how to solve real-world problems with machine learning. Using real data from an actual ecommerce website, you will apply production quality algorithms to understand all the issues that arise when working in a live environment. Learn how to apply best practices to common types of machine learning problems, extract quantifiable data, and explore several open source tools and how to use them.
Presented by O’Reilly Media, Inc.2 hours 2 minutes
In this step you’ll move toward artificial intelligence with neural networks and machine learning. Through a series of presentations by machine learning experts from Google, Stanford University, and UC Berkeley, you’ll learn about deep neural networks, scalable computational tools for large-scale data analysis, and speech and visual object recognition.
Learning Data Structures and Algorithms
Presented by Rod Stephens7 hours 32 minutes
Now you are ready to analyze and implement common algorithms used in data processing. You’ll start by learning about the complexity theory, then jump into learning about numerical algorithms. From there, you will go on to linked lists, searching, hash tables, recursion, and backtracking algorithms. Finally, you will cover trees, balanced trees, decision trees, and network algorithms.
Hardcore Data Science NYC 2014
Presented by O’Reilly Media, Inc.5 hours 7 minutes
This step includes a collection of presentations from Strata + Hadoop World in New York to teach you about data management, natural language processing, crowdsourcing, and algorithm design. You’ll learn techniques for computing quantities, gathering data efficiently, interpreting workflows, and understanding metrics from social media. You’ll also see how data appears to machines, as opposed to humans, how machines understand music, and how to turn data into insights.
Hardcore Data Science California 2015
Presented by O’Reilly Media, Inc.5 hours 43 minutes
This step of your Learning Path introduces you to emerging technologies and cutting-edge practices in the field of machine learning through a series of presentations from from Strata + Hadoop World in California. You’ll expand your understanding of speech recognition and acoustic modeling; learn theoretical tradeoffs between statistical risk, amount of data, and “externalities” such as computation, communication, and privacy; look at developments in computer vision, and many other topics.