There's a lot to learn and to stay on top of in the rapidly expanding universe of artificial intelligence and machine learning. Use the range of courses in this learning path to augment your skills related to AI, ML, and data science by reviewing data analysis tasks and exploring top platforms.
Build advanced-level algorithmic techniques.
Learn how to analyze data using Wolfram Mathematica.
Master the machine learning capabilities of Apache Spark.
Learn how to use Amazon SageMaker to analyze data sets and train and deploy predictive machine learning models.
1h 11m • COURSE
Mathematica 11 Machine Learning with Curt Frye
Get started with machine learning. Learn how to separate training data from test data, prepare data for machine learning, perform supervised machine learning tasks, and more.
1h 15m • COURSE
Spark for Machine Learning & AI with Dan Sullivan
Discover the powerful Apache Spark platform for machine learning. Learn about preprocessing data, applying algorithms to a variety of machine learning problems, and more.
1h 51m • 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
Google Cloud Platform for Machine Learning Essential Training with Lynn Langit
Learn how to design machine learning solutions with Google Cloud Platform. Review services such as AutoML, CloudML Engine, and the GCP machine learning APIs.
2h 57m • COURSE
Machine Learning for Marketing: Essential Training with Chris DallaVilla
Learn how to use machine learning to automate and improve your marketing campaigns, including customer engagement and account-based marketing.
55m 54s • COURSE
You'll advance your AI and machine learning tools skills with these experts.
Martin Kemka is the founder of Northraine, a machine learning production house.
Over the past decade, Martin has led, designed, and created innovative predictive analytics solutions for a number of corporations, including GE, Equifax, D&B, the World Bank, and Xerox. He has also contributed pro bono algorithms and research to global human rights and social institutions. Through university partnerships, Northraine has grown into a consultancy that spends 40% of time on research and 60% of time designing algorithms to "recondition the human condition." Find out more at http://www.northraine.com/.
Curt Frye is the president of Technology and Society, Incorporated.He is the author of more than 40 books, including Microsoft Excel 2019 Step by Step for Microsoft Press, and has created and recorded more than 60 courses for Lynda.com and LinkedIn Learning. As a speaker, he has presented talks on topics including "Rhetorical Mathematics" for CLE credit at the Law and Magic conference, "Business Storytelling Using Microsoft Excel" at the ATD-Cascadia annual conference, and his Improspectives® approach to applying the techniques of improv theater to business and life for numerous audiences. As a performer, he has appeared in over 1,300 improv comedy shows with ComedySportz Portland and presents his Magic of the Mind show to theatrical and corporate audiences. Curt earned his BA in political science from Syracuse University and his MBA from the University of Illinois.
Dan Sullivan, PhD, is an enterprise architect and big data expert.
Dan specializes in data architecture, analytics, data mining, statistics, data modeling, big data, and cloud computing. In addition, he holds a PhD in genetics, bioinformatics, and computational biology. Dan works regularly with Spark, Oracle, NoSQL, MongoDB, Redis, R, and Python. He has extensive writing experience in topics including cloud computing, big data, Hadoop, and security.
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.
Chris DallaVilla is the founder and CEO of VALID, an independent marketing consulting practice.
VALID specializes in providing data-driven solutions that help chief marketing officers and their teams strengthen their planning and execution, and drive results. Chris has expertise in digital and social media marketing, as well as certifications in Agile, Google AdWords, and Google Analytics. He studied computer science at Harvard University, design technology at Massachusetts College of Art and Design, and advertising and marketing communications at the Questrom School of Business at Boston University.