Search result for Machine learning models Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 542 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Distributed Machine Learning with Apache Spark
by Ameet Talwalkar , Jon Bates- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark. Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization. The underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines...
$99
Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems. Machine Learning Logistic Regression Models Neural Network Models Demo: Using the R API to Create and Assess Models Demo: Using the Python API to Create and Assess Models Machine Learning Quiz...
Customising your models with TensorFlow 2
by Dr Kevin Webster- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 27 hours to complete
Welcome to this course on Customising your models with TensorFlow 2! In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. Welcome to Customising your Models with TensorFlow 2 [Knowledge check] Transfer learning...
Mathematics & Statistics of Machine Learning & Data Science
by Cinnamon TechX- 4.2
-
![]()
![]()
![]()
![]()
![]()
11 hours on-demand video
WHY IS MACHINE LEARNING SO SUCCESSFUL? These chips are not just used to train models for Google DeepMind and Google Brain, but also the models that underpin Google Translate and the image recognition in Google Photo, as well as services that allow the public to build machine learning models using Google's TensorFlow Research Cloud....
$12.99
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. You will then perform automated machine learning (AutoML) to automatically train, tune, and deploy the best text-classification algorithm for the given dataset using Amazon SageMaker Autopilot....
Browser-based Models with TensorFlow.js
by Laurence Moroney- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
Bringing a machine learning model into the real world involves a lot more than just modeling. In this first course, you’ll train and run machine learning models in any browser using TensorFlow. Converting Models to JSON Format js Models Converting Models to JavaScript Converting Models to JavaScript In Code Transfer Learning with Pre-Trained Models...
Supervised Machine Learning for beginners
by Ro Science- 4.7
-
![]()
![]()
![]()
![]()
![]()
5 hours on-demand video
kick start your machine learning journey with supervised learning for beginners, python, jupyter and scikit-learn! And last, we actually train and evaluate several models based on the most common machine learning algorithms for supervised learning such as K-nearest neighbors, logistic regression, decision trees and random forests. machine learning supervised learning...
$9.99
Related searches
Art and Science of Machine Learning
by Google Cloud Training- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
Welcome to the Art and Science of machine learning. The course covers the essential skills of ML intuition, good judgment and experimentation needed to finely tune and optimize ML models for the best performance. Learning rate and batch size Lab Intro: Reviewing Learning Curves Lab Intro: Training Models at Scale with AI Platform...
Feature Engineering for Improving Learning Environments
by Andrew E. Krumm- 0.0
-
![]()
![]()
![]()
![]()
![]()
3 Weeks
How can data-intensive research methods be used to create more equitable and effective learning environments? , variables or predictors) used in various machine learning algorithms. We will provide strategies for using prior research, knowledge from practice, and logic to create features, as well as build and evaluate machine learning models. How to apply selected machine learning algorithms (e....
$99
Deep Neural Networks with PyTorch
by Joseph Santarcangelo- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
The course will teach you how to develop deep learning models using Pytorch. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression. Then Convolutional Neural Networks and Transfer learning will be covered. • explain and apply their knowledge of Deep Neural Networks and related machine learning methods TORCH-VISION MODELS TORCH-VISION MODELS...
Previous
