About this
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.
In this learning path,
- Build advanced-level algorithmic techniques.
- Learn how to analyze data using Wolfram Mathematica.
- Master the machine learning capabilities of Apache Spark.
| From | LinkedIn Learning |
|---|---|
| Hours | 12 |
| Instructors | Martin Kemka, Curt Frye, Dan Sullivan, Lynn Langit, Chris DallaVilla |
| Language | English |
| Subjects | Programming Data Science IT & Networking Business |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Courses in this
Listed in the order in which they should be taken
| Starts | Course Information | |
|---|---|---|
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On Demand |
Learning Amazon SageMaker (You were viewing this course) SageMaker is Amazon’s solution for developers who want to deploy predictive machine learning models into a production environment. Programming is done in Python and the results... LinkedIn Learning |
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On Demand |
Mathematica 11 Machine Learning Learn how to analyze data using the machine learning capabilities built into Mathematica 11. In this course, Curt Frye provides an overview of machine learning tasks, explains how... LinkedIn Learning |
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On Demand |
Spark for Machine Learning & AI Apache Spark is one of the most widely used and supported open-source tools for machine learning and big data. In this course, discover how to work with this powerful platform for... LinkedIn Learning |
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On Demand |
Amazon Web Services Machine Learning Essential Training Amazon Web Services (AWS) offers a wealth of services and tools that help data scientists leverage machine learning to craft better, more intelligent solutions. In this course,... LinkedIn Learning |
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On Demand |
Google Cloud Platform for Machine Learning Essential Training Machine learning can make your applications faster and more intelligent. You can analyze customer data such as voice and text input, images, and video, and take action without... LinkedIn Learning |
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On Demand |
Machine Learning for Marketing: Essential Training Artificial intelligence and machine learning are changing the world. Computers can "learn" from data without being programmed and make automated, intelligent decisions. The... LinkedIn Learning |
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| From | LinkedIn Learning |
|---|---|
| Hours | 12 |
| Instructors | Martin Kemka, Curt Frye, Dan Sullivan, Lynn Langit, Chris DallaVilla |
| Language | English |
| Subjects | Programming Data Science IT & Networking Business |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Similar Courses
Sorted by relevance
