About this Learning Path
Build depth and breadth into your mastery of AI and machine learning tools and techniques. The state of the art is always advancing, and this learning path is designed to help you stay ahead.
- Build advanced-level algorithmic techniques.
- Learn to analyze data using Wolfram Mathematica.
- Master the machine learning capabilities of Apache Spark.
| From | LinkedIn Learning |
|---|---|
| Hours | 7 |
| Instructors | Keith McCormick, Curt Frye, Dan Sullivan, Adam Geitgey |
| Language | English |
| Subjects | IT & Networking Data Science Programming |
Similar Courses
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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 Learning Path
Listed in the order in which they should be taken
| Starts | Course Information | |
|---|---|---|
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On Demand |
Machine Learning & AI Foundations: Decision Trees Many data science specialists are looking to pivot toward focusing on machine learning. This course covers the essentials of machine learning, including predictive analytics and... LinkedIn Learning |
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On Demand |
Machine Learning & AI: Advanced Decision Trees If you're working towards an understanding of machine learning, it's important to know how to work with decision trees. In this course, explore advanced concepts and details of... 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 |
Machine Learning & AI Foundations: Value Estimations Value estimation—one of the most common types of machine learning algorithms—can automatically estimate values by looking at related information. For example, a website can... LinkedIn Learning |
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| From | LinkedIn Learning |
|---|---|
| Hours | 7 |
| Instructors | Keith McCormick, Curt Frye, Dan Sullivan, Adam Geitgey |
| Language | English |
| Subjects | IT & Networking Data Science Programming |
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
