[LinkedIn Learning] Advance Your Skills as a Machine Learning Specialist - Complete 9 Courses

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Original course: https://www.linkedin.com/learning/paths/advance-your-skills-as-a-machine-learning-specialist

[LinkedIn Learning]


Advance Your Skills as a Machine Learning Specialist - Complete 9 Courses



Updated 3 months ago



Overview:
Dive into designing and building machine learning algorithms. This learning path shows how machine learning algorithms work and how to design them yourself. There's a lot to learn in this rapidly growing and sought-after field, and these courses give you an extremely solid skill set.

What You'll Learn:

  • Explore how to design machine learning algorithms.
  • Learn how recommendation systems work and how to build them.
  • Practice designing machine solutions for applications.


Learning Path Details:
• 14h 49m of content
• 9 items of learning content

Courses Included in This Learning Path:



? 1. Machine Learning with Python: Decision Trees

Duration:

1h 14m

Instructor:

Frederick Nwanganga (Updated 4 months ago)
Learn how to build decision trees in Python to measure impurity within a partition and improve outcomes on machine learning projects.

? 2. Machine Learning with Python: k-Means Clustering

Duration:

50m

Instructor:

Frederick Nwanganga (Updated 3 months ago)
Learn the basics of k-means clustering, one of the most popular unsupervised machine learning approaches.

? 3. Machine Learning with Python: Association Rules

Duration:

1h 27m

Instructor:

Frederick Nwanganga (Updated 4 months ago)

? 4. Machine Learning with Python: Logistic Regression

Duration:

1h 19m

Instructor:

Frederick Nwanganga (Updated 3 months ago)

? 5. Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions

Duration:

2h 9m

Instructor:

Keith McCormick (Feb 2022)
Learn best practices for how to produce explainable AI and interpretable machine learning solutions.

? 6. Machine Learning and AI Foundations: Decision Trees with KNIME

Duration:

1h 59m

Instructor:

Keith McCormick (Jun 2022)
Expand your data science skills and establish a strong foundation in codeless machine learning.

? 7. Machine Learning and AI Foundations: Causal Inference and Modeling

Duration:

2h 51m

Instructor:

Keith McCormick (Jul 2022)
Learn about the modeling techniques and experimental designs that allow you to establish causal inference, and how to use them.

? 8. Machine Learning and AI Foundations: Prediction, Causation, and Statistical Inference

Duration:

2h 2m

Instructor:

Keith McCormick (Mar 2022)
Gain insights to help improve your machine learning models and statistical analyses.

? 9. Deep Learning: Model Optimization and Tuning

Duration:

54m

Instructor:

Kumaran Ponnambalam (Feb 2022)
Learn about various optimization and tuning options available for deep learning models and use them to improve models.

Earn Your Certificate


When you’re done, you’ll have earned a certificate of completion. You'll learn advanced machine learning concepts and skills with these experts:



Your Instructors:

  • Frederick Nwanganga: Information Technology Professional and Teacher
  • Keith McCormick: Data Miner, Trainer, Speaker, Author
  • Kumaran Ponnambalam: Working with data for 20+ years

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