Become an AI and Machine Learning Specialist, Part II
Branch out and extensively develop your knowledge of machine learning capabilities and techniques across tech platforms. In this learning path, you can begin to master natural language processing and deep learning, and take your AI and machine learning skills to the next level.
Expand your basic knowledge of algorithms.
Develop a more advanced understanding of how to build algorithms.
Extend your mastery of deep learning across diffrerent platforms and toolsets.
Building Deep Learning Applications with Keras 2.0 with Adam Geitgey
Learn how to install Keras— a popular deep learning framework—and use it to build a simple deep learning model.
1h 24m • COURSE
Building and Deploying Deep Learning Applications with TensorFlow with Adam Geitgey
Discover how to install TensorFlow and use it to create, train, and deploy a machine learning model.
1h 46m • COURSE
Machine Learning & AI: Advanced Decision Trees with Keith McCormick
Work towards a mastery of machine learning by exploring advanced decision tree algorithm concepts. Learn about the QUEST algorithm, the C5.0 algorithm, and a few advanced topics that apply to all decision trees.
1h 16m • COURSE
Building a Recommendation System with Python Machine Learning & AI with Lillian Pierson, P.E.
Discover how to use Python to build programs that can make recommendations. This hands-on course explores different types of recommendation systems, and shows how to build each one.
1h 38m • COURSE
Amazon Web Services Machine Learning Essential Training with Lynn Langit
Learn about patterns, services, processes, and best practices for designing and implementing machine learning using Amazon Web Services.
3h 7m • COURSE
Neural Networks and Convolutional Neural Networks Essential Training with Jonathan Fernandes
Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning.
1h 19m • COURSE
Machine Learning and AI Foundations: Clustering and Association with Keith McCormick
Learn how to use cluster analysis, association rules, and anomaly detection algorithms for unsupervised learning.
3h 22m • COURSE
Machine Learning & AI Foundations: Linear Regression with Keith McCormick
Expand your data science skills by learning how to leverage the concepts of linear regression to solve real-world problems.
3h 57m • COURSE
You'll learn AI and machine learning skills with these experts.
Adam Geitgey is a developer who is captivated by how machine learning is changing software development.
His background is in building large-scale websites and helping startups in Silicon Valley take advantage of machine learning. He has a passion for putting theory into practice—taking cutting-edge developments in machine learning and sharing them with software developers of all skill levels.
Keith McCormick is an independent data miner, trainer, speaker, and author.
Keith is skilled at explaining complex methods to new users or decision makers at many levels of technical detail. He specializes in predictive models and segmentation analysis including classification trees, neural nets, general linear model, cluster analysis, and association rules.
Lillian Pierson, P.E. is a leading expert in the field of big data and data science.
She equips working professionals and students with the data skills they need to stay competitive in today's data-driven economy.
Lillian has recently become a data science instructor for multiple courses on LinkedIn Learning. She's also the author of several highly-referenced technical books by the John Wiley & Sons, Inc. publishing company—including Data Science for Dummies (2017, 2015)—and has spent the last decade training and consulting for large technical organizations in the private sector, such as IBM, BMC, Dell, and Intel, as well as government organizations, from the US Navy down to the local government level.
As the Founder of Data-Mania LLC, Lillian offers online and face-to-face training courses, as well as workshops and other educational materials in the area of big data, data science, and data analytics.
Lynn Langit is a cloud architect who works with Amazon Web Services and Google Cloud Platform.
Lynn specializes in big data projects. She has worked with AWS Athena, Aurora, Redshift, Kinesis, and the IoT. She has also done production work with Databricks for Apache Spark and Google Cloud Dataproc, Bigtable, BigQuery, and Cloud Spanner.
Lynn is also the cofounder of Teaching Kids Programming. She has spoken on data and cloud technologies in North and South America, Europe, Africa, Asia, and Australia.
Jonathan Fernandes works for a consultancy and primarily focuses on data science, AI, and big data.Jonathan enjoys his work, as it combines his love of numbers, coding, and statistics. Jonathan has an undergraduate degree in computer science, and an MBA from the University of Warwick.
Learning Paths are big commitments. Keep your goal in focus by taking one at a time. Starting Become an AI and Machine Learning Specialist, Part II will pause your previous path and save your progress.