Search result for Machine learning pipelines Online Courses & Certifications
Get Course Alerts by Email
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. The first few modules will cover about TensorFlow Extended (or TFX), which is Google’s production machine learning platform based on TensorFlow for management of ML pipelines and metadata....
Deployment of Machine Learning Models
by Soledad Galli- 4.5
10 hours on-demand video
Learn how to integrate robust and reliable Machine Learning Pipelines in Production Welcome to Deployment of Machine Learning Models, the most comprehensive machine learning deployments online course available to date. And we will also discuss the tools and platforms available to deploy machine learning models. The steps involved in a typical machine learning pipeline...
$18.99
Building Big Data Pipelines with PySpark + MongoDB + Bokeh
by EBISYS R&D- 4.3
5 hours on-demand video
Build intelligent data pipelines with big data processing and machine learning technologies Welcome to the Building Big Data Pipelines with PySpark & MongoDB & Bokeh course. modelling using Spark’s MLlib machine learning library, and data analysis using MongoDB and You will learn machine learning with geospatial data using the Spark MLlib library...
$12.99
Data Scientist
by Josh Bernhard , Juno Lee , Luis Serrano , Andrew Paster , Mike Yi , David Drummond , Judit Lantos- 0.0
4 Months
Udacity has collaborated with industry leaders to offer a world-class learning experience so you can advance your data science career. Build effective machine learning models, run data pipelines, build recommendation systems, and deploy solutions to the cloud with industry-aligned projects....
Data Pipelines with TensorFlow Data Services
by Laurence Moroney- 4.3
Approx. 11 hours to complete
Bringing a machine learning model into the real world involves a lot more than just modeling. - Create and use pre-built pipelines for generating highly reproducible I/O pipelines for any dataset To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization. Data Pipelines with TensorFlow Data Services Data Pipelines...
Preparing for the Google Cloud Professional Data Engineer Exam
by Google Cloud Training- 4.6
Approx. 9 hours to complete
Design data pipelines Dataflow pipelines Building and maintaining pipelines Operationalizing Machine Learning Models Machine learning Machine learning and unstructured data Operationalizing Machine Learning Models: Exam Guide Review Operationalizing Machine Learning Models...
Machine Learning Data Lifecycle in Production
by Robert Crowe- 4.5
Approx. 20 hours to complete
Understanding machine learning and deep learning concepts is essential, but if you’re looking to build an effective AI career, you need production engineering capabilities as well. Machine learning engineering for production combines the foundational concepts of machine learning with the functional expertise of modern software development and engineering roles to help you develop production-ready skills....
Related searches
Follow a Machine Learning Workflow
by Renée Cummings- 0.0
Approx. 20 hours to complete
Machine learning is not just a single task or even a small group of tasks; it is an entire process, one that practitioners must follow from beginning to end. It is this process—also called a workflow—that enables the organization to get the most useful results out of their machine learning technologies. ETL and Machine Learning Pipelines...
Scalable Machine Learning on Big Data using Apache Spark
by Romeo Kienzler- 3.8
Approx. 7 hours to complete
This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Most real world machine learning work involves very large data sets that go beyond the CPU, memory and storage limitations of a single computer. Introduction to Apache Spark for Machine Learning on BigData...
Probability and Statistics In Data Science
by Pronoy Kumar- 2.6
32 mins on-demand video
By the end of the course you will learn about Exploring Data Engineering Pipelines and Infrastructure ,Applying Data Science to Business and Industry & Introducing Probability and Statistics . Not only are Data Scientists responsible for business analytics, but they are also involved in building data products and software platforms, along with developing visualizations and machine learning algorithms....
$12.99