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Production Machine Learning Systems
by Google Cloud Training- 4.6
Approx. 8 hours to complete
In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. The Components of an ML System: Data Transformation + Trainer The Components of an ML System: Tuner + Model Evaluation and Validation The Components of an ML System: Serving...
ML Pipelines on Google Cloud
by Google Cloud Training- 3.7
Approx. 11 hours to complete
In this course, you will be learning from ML Engineers and Trainers who work with the state-of-the-art development of ML pipelines here at Google Cloud. Welcome to ML Pipelines on Google Cloud Lab Intro: Lab Intro: Continuous Training with TensorFlow, PyTorch, XGBoost, and Scikit Learn Models with KubeFlow and AI Platform Pipelines...
Launching into Machine Learning
by Google Cloud Training- 4.6
Approx. 22 hours to complete
Optimize and evaluate models using loss functions and performance metrics Practical ML Defining ML Models ML Model Pitfalls Generalization and ML Models When to Stop Model Training Lab Introduction Exploring and Creating ML Datasets Lab Solution Walkthrough Exploring and Creating ML Datasets Generalization and ML Models...
Machine Learning use in Flutter, The Complete Guide
by Hamza Asif- 4.6
6 hours on-demand video
Train ML models for Flutter, Build 15+ ML Flutter Dart Apps Covering all the fundamental concepts of using ML models inside Flutter applications, this is the most comprehensive and only Flutter ML course available online. After learning the use of Firebase ML Kit inside flutter applications we will learn the use of popular pre-trained TensorFlow lite models inside flutter applications....
$9.99
AWS Machine Learning Certification Exam|2020 Complete Guide
by Dr. Ryan Ahmed, Ph.D., MBA- 4.5
17 hours on-demand video
Amazon has recently introduced the AWS machine Learning Certification Speciality exam and its quite challenging! AWS Certified Machine Learning Specialty is targeted at data scientists and developers who design, train and deploy AI/ML models to solve real-world challenging problems. o How to select proper ML technique to solve a given business problem?...
$9.99
Deploy Serverless Machine Learning Models to AWS Lambda
by Milan Pavlović- 4.5
7.5 hours on-demand video
Use Serverless Framework for fast deployment of different ML models to scalable and cost-effective AWS Lambda service. In this course you will discover a very scalable, cost-effective and quick way of deploying various machine learning models to production by using principles of serverless computing....
$15.99
Image Understanding with TensorFlow on GCP
by Google Cloud Training- 4.6
Approx. 12 hours to complete
Linear and DNN Models Linear Models Lab Intro: Linear Models for Image Classification Lab Solution: Linear Models for Image Classification Pre-built ML Models for Image Classification Pre-built ML Models Lab Intro: Training with Pre-built ML Models using Cloud Vision API and AutoML Lab Solution: Training with Pre-built ML Models using Cloud Vision API and AutoML...
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TensorFlow and the Google Cloud ML Engine for Deep Learning
by Loony Corn- 4.3
17.5 hours on-demand video
The Google Cloud Platform is a great place to run TF models at scale, and perform distributed training and prediction....
$12.99
AWS SageMaker Practical for Beginners | Build 6 Projects
by Dr. Ryan Ahmed, Ph.D., MBA- 4.6
14.5 hours on-demand video
Machine and deep learning are the hottest topics in tech! Diverse fields have adopted ML and DL techniques, from banking to healthcare, transportation to technology. In this course, students will learn how to create AI/ML models using AWS SageMaker. We teach SageMaker’s vast range of ML and DL tools with practice-led projects....
$12.99
How Google does Machine Learning
by Google Cloud Training- 4.6
Approx. 8 hours to complete
Introduction to ML on Google Cloud Two stages of ML ML in Google Products ML in Google Photos Pre-trained models Lab Intro: Pretrained ML APIs Intro Training and serving skew ML Training Phases Lab Intro - Framing an ML Problem Demo: ML in applications Pre-trained ML APIs How Google does ML...