Search result for Building and training machine learning models Online Courses & Certifications
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Predictive Modeling and Machine Learning with MATLAB
by Heather Gorr , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Adam Filion , Erin Byrne , Sam Jones- 4.7
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Approx. 22 hours to complete
By the end of this course, you will use MATLAB to identify the best machine learning model for obtaining answers from your data. Supervised Machine Learning Reference Evaluate and Customize Classification Models Applying the Supervised Machine Learning Workflow Summary of Predictive Modeling and Machine Learning Examples of Integrating Machine Learning Models...
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
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Approx. 20 hours to complete
Models are constructed using algorithms, and in the world of machine learning, there are many different algorithms to choose from. You'll build multiple models to address each of these problems using the machine learning workflow you learned about in the previous course. Linear Regression in Machine Learning Building Regularized and Iterative Linear Regression Models...
Introduction to TensorFlow
by Google Cloud Training- 4.4
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Approx. 19 hours to complete
x and Keras to build, train, and deploy machine learning models. Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models. You will learn how to train, deploy, and productionalize machine learning models at scale with Cloud AI Platform....
Developing AI Applications on Azure
by Ronald J. Daskevich, DCS- 4.4
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Approx. 16 hours to complete
We'll discuss machine learning types and tasks, and machine learning algorithms. Using the Azure Machine Learning Service you'll create and use an Azure Machine Learning Worksace. By the end of this course, you will be able to create, implement and deploy machine learning models. Definition of AI and Machine Learning Azure Machine Learning Service: Model Training...
Preparing for the Google Cloud Professional Data Engineer Exam
by Google Cloud Training- 4.6
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Approx. 9 hours to complete
Designing and building Building and Operationalizing Data Processing Systems Building and maintaining pipelines Building and maintaining processing infrastructure Building and Operationalizing Data Processing Systems: Exam Guide Review Designing and Building Data Processing Systems Operationalizing Machine Learning Models Machine learning Machine learning and unstructured data Training and validating Operationalizing Machine Learning Models...
Microsoft Azure Machine Learning
by Microsoft- 4.8
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Approx. 11 hours to complete
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code....
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. 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 Supervised Machine Learning for Interpretation and Prediction...
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Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 11 hours to complete
You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. 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 Supervised Machine Learning for Interpretation and Prediction...
Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
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Approx. 22 hours to complete
This fourth and final course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate continues on from the previous course by introducing more, and in some cases, more advanced algorithms used in both machine learning and deep learning. Building Decision Trees and Random Forests Guidelines for Building SVM Models for Classification...
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
by Eric Siegel- 4.8
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Approx. 17 hours to complete
The science behind machine learning intrigues and surprises, and an intuitive understanding is not hard to come by. Machine learning software: dos and don'ts for choosing a tool Machine learning software: how tools vary and how to choose one Machine learning software: dos and don'ts for choosing a tool Machine learning software: how tools vary and how to choose one...
