Brief Introduction
Launch your career with a Machine Learning Certificate, Build ml models using Python.Description
This course provides a broad introduction to Machine learning, Deep Learning, Artificial Neural Networks, and also strategies, techniques needed to build the best machine learning models. The course starts with Introduction to python programming, Data structures, and python for Machine learning. Learn to use Regression, Classification models on a wide variety of datasets Available at Kaggle. Learn to built neural networks for classification for image datasets, learn to use pre-trained models to make predictions, Also, learn how Neural networks can outperform human ability using TensorFlow.
Requirements
- Requirements
- Basic Computer science
Innoovatum Practical Engineering
3.6 Raiting
Data Science: Deep Learning and Neural Networks in Python
- 4.6
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The MOST in-depth look at neural network theory, and how to code one with pure Python and Tensorflow All the materials for this course are FREE....
Ranking Search Results using Machine Learning
- 3.2
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Ranking Search Results using Machine Learning models like LAMBDAMART, LAMBDANET, RANKNET Course Description Learn ranking search results with the machine learning and popular programming language Python and Elastic Search....
Doing Clinical Research: Biostatistics with the Wolfram Language
- 4.7
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This course has a singular and clear aim, to empower you to do statistical tests, ready for incorporation into your dissertations, research papers, and presentations....
Azure Kubernetes Service with Azure DevOps and Terraform
- 4.4
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Docker, AKS, Azure Disks, DevOps, Virtual Nodes, ACR, DNS Zones, Active Directory, Kubernetes RBAC, Ingress, Terraform ******* Course Overview ******* Course Modules...
