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Introduction to the AWS Command Line Interface (CLI)
by Bipra Tech- 0.0
6.5 hours on-demand video
The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services. With just one tool to download and configure, you can control multiple AWS services from the command line and automate your infrastructure through scripts. After this course you can begin making calls to your AWS services from the command line like:...
$13.99
Designing Architectures in AWS
by Qasim Shah- 0.0
1.5 hours on-demand video
If you are familiar with the AWS services and are interested in learning more about sample architectures to host different environments, this is the perfect course for you! See what our students say “It is such a solid course that covers all important areas of machine learning, and I now know hoe to predict future products based on their features....
$12.99
Learning Path: AWS Certified Developer – Associate Complete
by Packt Publishing- 3.9
15 hours on-demand video
Become an AWS Certified Developer – Associate with this all-exclusive course If you’re an IT professional or a developer looking to clear the AWS Certified Developer – Associate 2017 exam, this Learning Path is for you. This Learning Path has everything it takes to turn you into an AWS Certified Developer – Associate....
$12.99
Big Data in the AWS (Amazon Web Services) Cloud
by AWS Data Consultant- 0.0
2 hours on-demand video
Learn about building out scalable, resilient Big Data solutions using the AWS platform This course will give you an overview of all of the different services that you can leverage within AWS to build out a Big Data solution....
$12.99
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
by 林軒田- 4.9
Approx. 10 hours to complete
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. What is Machine Learning Applications of Machine Learning Components of Machine Learning...
Azure Machine Learning in the cloud without coding
by Dan We- 4.3
2.5 hours on-demand video
How to do machine learning experiments in the cloud for free without coding. Azure machine learning for beginners Together we will learn a high level understanding of important machine learning concepts and create our own machine learning experiments in the cloud. We will learn to use both technologies together and create own machine learning experiments....
$9.99
AWS Data Architect Bootcamp - 43 Services 500 FAQs 20+ Tools
by Siddharth Mehta- 4.3
30.5 hours on-demand video
Hi! Welcome to the AWS Data Architect Bootcamp course, the only course you need to learn everything about data architecture on AWS and play the role of an Enterprise Data Architect. AWS Lambda - Microservices are often tied with APIs, and are the cornerstone of any programmatic integration with AWS Services, typically AWS's Artificial Intelligence and Machine Learning Services....
$18.99
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Innovating with Data and Google Cloud
by Google Cloud Training- 4.9
Approx. 2 hours to complete
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. This course also introduces learners to technical concepts such as structured and unstructured data. Module 3: Innovation with Machine Learning 03: Innovation with Machine Learning Identify Google Cloud’s solutions for Machine Learning and AI...
Predictive Analytics using Machine Learning
by Dr Johannes De Smedt , Sofia Varypati , Obinna Unigwe- 0.0
6 Weeks
Learn how to build predictive models using machine learning. This course will give you an overview of machine learning-based approaches for predictive modelling, including tree-based techniques, support vector machines, and neural networks using Python. Understand the difference between machine learning and other statistical models Apply machine learning models to business situations...
$300
Data Science for Business Innovation
by Marco Brambilla , Emanuele Della Valle- 4.2
Approx. 7 hours to complete
It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues. Machine Learning Machine Learning Machine Learning slides Machine Learning Machine Learning Machine Learning Foundational concepts and intuitions about machine learning techniques...