Search result for Mathematics for machine learning Online Courses & Certifications
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PyTorch Basics for Machine Learning
by Joseph Santarcangelo- 0.0
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5 Weeks
In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will learn to save your model and training in applications such as cross validation for hyperparameter selection, early stopping and checkpoints. Build a Machine learning pipeline in PyTorch Train machine learning applications with PyTorch...
$39
Bayesian Methods for Machine Learning
by Daniil Polykovskiy , Alexander Novikov- 4.5
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Approx. 33 hours to complete
They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like medicine. Example: EM for discrete mixture, E-step Example: EM for discrete mixture, M-step GP for machine learning...
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
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Approx. 10 hours to complete
This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. By completing this course, you will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions. Machine Learning and the Bias Variance Trade-Off...
PyTorch Basics for Machine Learning
by Joseph Santarcangelo- 0.0
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5 Weeks
In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will learn to save your model and training in applications such as cross validation for hyperparameter selection, early stopping and checkpoints. Build a Machine learning pipeline in PyTorch Train machine learning applications with PyTorch...
$39
Data Science Project: MATLAB for the Real World
by Michael Reardon , Brandon Armstrong , Erin Byrne , Adam Filion , Heather Gorr , Maria Gavilan-Alfonso , Matt Rich , Isaac Bruss- 4.8
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Approx. 13 hours to complete
Tasks for Creating the Taxi Regions Tasks for Exploring and Cleaning the Taxi Data Tasks for Creating the Grouped Summary Table Your Tasks for the Module Exploring the Demand for Taxis Apply Machine Learning Preparing for Your Final Report...
Mathematical Foundation For Machine Learning and AI
by Eduonix Learning Solutions- 4.4
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4.5 hours on-demand video
Learn the core mathematical concepts for machine learning and learn to implement them in R and python to start writing codes and start developing for AI and ML programs. However, learning to write algorithms for AI and ML isn’t easy and Algebra – Linear algebra notation is used in Machine Learning...
$9.99
Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
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Approx. 22 hours to complete
There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Ultimately, this course concludes the technical exploration of the various machine learning algorithms and how they can be used to build problem-solving models. Ensemble Learning...
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 14 hours to complete
Explain the use of linear and logistic regression in supervised learning applications Describe common strategies for grid searching and cross-validation This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. Building Machine Learning and Deep Learning Models...
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
Currently, the demand for machine learning engineers far exceeds the supply. It is designed for people who are new to machine learning and want to build foundational skills in machine learning algorithms and techniques to either advance within their current field or position themselves to learn more advanced skills for a career transition....
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
Currently, the demand for machine learning engineers far exceeds the supply. It is designed for people who are new to machine learning and want to build foundational skills in machine learning algorithms and techniques to either advance within their current field or position themselves to learn more advanced skills for a career transition....
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