Search result for Supervised learning techniques Online Courses & Certifications
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Intro to Machine Learning with TensorFlow
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster , Juan Delgado , Michael Virgo- 0.0
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3 months
Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques -- from data manipulation to unsupervised and supervised algorithms in TensorFlow and scikit-learn. This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks....
Intro to Machine Learning with PyTorch
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
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3 months
Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms in PyTorch and scikit-learn. This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks....
Machine Learning
by John W. Paisley- 0.0
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12 Weeks
Master the essentials of machine learning and algorithms to help improve learning from data without human intervention. supervised versus unsupervised learning In the first half of the course we will cover supervised learning techniques for regression and classification. Supervised learning techniques for regression and classification Unsupervised learning techniques for data modeling and analysis...
$249
Machine Learning
by Qiang Liu- 0.0
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12 Weeks
Tools from machine learning are now ubiquitous in the sciences with applications in engineering, computer vision, and biology, among others. ○ Techniques for supervised learning including classification and regression. ○ Algorithms for unsupervised learning including feature extraction. ○ Statistical methods for interpreting models generated by learning algorithms....
$1000
Project Planning and Machine Learning
by David Sluiter- 4.7
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Approx. 17 hours to complete
Segment 1 - Learning Outcomes, Introduction to a Design Process Segment 1 - Learning Outcomes, Introduction to Thermistors Segment 7 - Filtering Techniques Machine Learning Segment 1 - Learning Outcomes Segment 4 - Machine Learning Schools of Thought Segment 6 - Categories of Machine Learning Segment 17 - Supervised Learning, Deep Learning...
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
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: What is Machine Learning? Introduction to Supervised Machine Learning: Types of Machine Learning Supervised Machine Learning for Interpretation and Prediction...
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 11 hours to complete
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: What is Machine Learning? Introduction to Supervised Machine Learning: Types of Machine Learning Supervised Machine Learning for Interpretation and Prediction...
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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. Key Concepts in Machine Learning Python Tools for Machine Learning Module 2: Supervised Machine Learning - Part 1 Introduction to Supervised Machine Learning Module 4: Supervised Machine Learning - Part 2...
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
Supervised learning Machine learning techniques for robust estimation of factor models References for module 2"Machine learning techniques for robust estimation of factor models" Machine learning techniques for efficient portfolio diversification Introduction to module 3 -Machine learning techniques for efficient portfolio diversification Learn the principles of supervised and unsupervised machine learning techniques to financial data sets...
Supervised Machine Learning for beginners
by Ro Science- 4.7
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5 hours on-demand video
kick start your machine learning journey with supervised learning for beginners, python, jupyter and scikit-learn! In this course, we start with the basics and we explain the concept of supervised learning in depth, we also go over the various types of problems that can be solved using supervised learning techniques. supervised learning...
$9.99
