Search result for Building and training machine learning models Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 370 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 14 hours to complete
Discuss common regression, classification, and multilabel classification metrics Explain the use of linear and logistic regression in supervised learning applications 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...
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: Training Models at Scale with AI Platform Tune batch size and learning rate for better model performance...
Introduction to Deep Learning
by Evgeny Sokolov , Зимовнов Андрей Вадимович , Alexander Panin , Ekaterina Lobacheva , Nikita Kazeev- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 34 hours to complete
The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers. Learners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks....
Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models....
Machine Learning in JavaScript with TensorFlow.js
by tech.courses team- 4.4
-
![]()
![]()
![]()
![]()
![]()
6.5 hours on-demand video
Master machine learning with JavaScript and TensorFlowJS. Interested in using Machine Learning in JavaScript applications and websites? This course is fun and engaging, with Machine Learning learning outcomes provided in bitesize topics: Machine Learning in Javascript and TensorFlowJS 2. Defining machine learning models Training machine learning models Saving machine learning models...
$18.99
Machine Learning use in Flutter, The Complete Guide
by Hamza Asif- 4.6
-
![]()
![]()
![]()
![]()
![]()
6 hours on-demand video
After learning the use of pre-trained machine learning models using Firebase ML Kit and Tensorflow lite models inside Flutter we will learn to train our own Image classification models without knowing any background knowledge of Machine Learning. Gether and arrange the data set for the machine learning model training Training the Machine Learning models from scratch using Teachable-Machine...
$9.99
AI Workflow: Enterprise Model Deployment
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
Analyze hyperparameters in machine learning models on Apache Spark Deploy machine learning algorithms using the Apache Spark machine learning interface 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. Introduction to Spark Machine Learning...
Related searches
Deep Learning with Caffe 2 - Hands On!
by Packt Publishing- 3.5
-
![]()
![]()
![]()
![]()
![]()
4 hours on-demand video
Contents and Overview By the end of this course, you will be able to effectively create and train deep learning models with Caffe2, providing you with high-performance and first-class support for large-scale distributed training, mobile deployment, new hardware support, and flexibility. degree in Machine Learning and Computer Vision at the University of Oxford....
$9.99
Smart Analytics, Machine Learning, and AI on GCP
by Google Cloud Training- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. For more tailored machine learning capabilities, this course introduces AI Platform Notebooks and BigQuery Machine Learning. Learners will get hands-on experience building machine learning models on Google Cloud Platform using QwikLabs. Machine Learning and AI...
Natural Language Processing with Classification and Vector Spaces
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize those relationships, and Please make sure that you’re comfortable programming in Python and have a basic knowledge of machine learning, matrix multiplications, and conditional probability. Machine Translation and Document Search...
Previous
