Search result for Best machine learning course udemy Online Courses & Certifications
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Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
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Approx. 12 hours to complete
This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. We will explore machine learning approaches, medical use cases, metrics unique to healthcare, as well as best practices for designing, building, and evaluating machine learning applications in healthcare. Best practices, teams, and launching your machine learning journey...
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
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Approx. 17 hours to complete
Then, we will see how this new insight from Machine learning can complete and improve the relevance of the analysis. Machine Learning for Investment Decisions: A Brief Guided Tour Machine learning techniques for robust estimation of factor models Machine learning techniques for efficient portfolio diversification Machine learning techniques for regime analysis...
Optimizing Machine Learning Performance
by Anna Koop- 4.6
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Approx. 12 hours to complete
This course synthesizes everything your have learned in the applied machine learning specialization. You will now walk through a complete machine learning project to prepare a machine learning maintenance roadmap. This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii)....
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. Introduction to Supervised Machine Learning and Linear Regression Introduction to Supervised Machine Learning: Types of Machine Learning...
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 11 hours to complete
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. Introduction to Supervised Machine Learning and Linear Regression Introduction to Supervised Machine Learning: Types of Machine Learning...
Follow a Machine Learning Workflow
by Renée Cummings- 0.0
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Approx. 20 hours to complete
This second course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate explores each step along the machine learning workflow, from problem formulation all the way to model presentation and deployment. Ultimately, this course provides a practical framework upon which you'll build many more machine learning models in the remaining courses....
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. Key Concepts in Machine Learning...
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Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
by Eric Siegel- 4.9
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Approx. 14 hours to complete
Machine learning runs the world. This course will guide you to lead or participate in the end-to-end implementation of machine learning (aka predictive analytics). Whether you'll participate on the business or tech side of a machine learning project, this course delivers essential, pertinent know-how. Course overview: Launching Machine Learning Sourcing the staff for a machine learning project...
Data Analytics Foundations for Accountancy II
by Robert Brunner- 4.8
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Approx. 70 hours to complete
Welcome to Data Analytics Foundations for Accountancy II! I'm excited to have you in the class and look forward to your contributions to the learning community. Module 1: Introduction to Machine Learning Introduction to Machine Learning Module 3: Practical Concepts in Machine Learning Introduction to Practical Machine Learning Practical Concerns with Machine Learning Machine Learning and Anomaly Detection...
Machine Learning
by Andrew NgTop Instructor- 4.9
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Approx. 61 hours to complete
Machine learning is the science of getting computers to act without being explicitly programmed. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). Advice for Applying Machine Learning...
