Cloud Computing: Instructional Materials
Machine Learning with TensorFlow on Google Cloud Platform Specialization Review
When you finish every course and complete the hand on project, you'll earn a Certificate that you can share with prospective employers and your professional network. This online specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the specialization and earn your certificate. These Career Credentials will help you to unlock access to work in top universities and organizations as well as you can get a chance to get a career credential from the world's best educational institution. Starting a career in Machine Learning with TensorFlow opens doors to a great career.
30 Best Edureka Free Courses, Tutorial & Certification 2020
Are you looking for the Best Edureka Courses 2020? Edureka is an online technical training platform that offers Big Data, cloud computing, artificial intelligence, and blockchain-based courses. The classes can be attended to at any place and any time as per your choice Use our Android and iOS App to learn on the go. Their engaging learning platform, expert industry practitioners, and support ninjas make sure that you complete the course. Get lifetime accesses to the entire content including quizzes and assignments as the technology upgrades your content gets updated at no cost? Choose from a number of batches as per your convenience if you got something urgent to do, reschedule your batch for a later time. If you want to get started with top Edureka free courses check out the Edureka course catalog from the Edureka site. You will get tons of free courses online Edureka on the Edureka platform.
Build an IoT hub for streaming, storing, and analyzing sensor data in the cloud: Connect an Android device to the IBM Cloud, build a Node-RED dashboard, and build an AI classifier
In this tutorial, we present the high-level steps that are involved in connecting an Android device to the cloud and developing analytics models to analyze sensor data. By the end of this tutorial you should be able to set up your own IoT hub for streaming, storing and processing device data. The following figure shows the architecture of our sample app. This tutorial requires an Android device (smartphone), an internet connection, and an IBM Cloud account. In Step 1 you will create an account on IBM Cloud and install an application on your Android phone.
Art and Science of Machine Learning
Welcome to the art and science of machine learning. In this data science course you will learn the essential skills of ML intuition, good judgment and experimentation to finely tune and optimize your ML models for the best performance. In this course you will learn the many knobs and levers involved in training a model. You will first manually adjust them to see their effects on model performance. Once familiar with the knobs and levers, otherwise known as hyperparameters, you will learn how to tune them in an automatic way using Cloud Machine Learning Engine on Google Cloud Platform.
Announcing the newest AWS Heroes – August 2020
The AWS Heroes program recognizes a select few individuals who go above and beyond to share AWS knowledge and teach others about AWS, all while helping make building AWS skills accessible to many. These leaders have an incredible impact within technical communities worldwide and their efforts are greatly appreciated. Serverless Hero Angela Timofte is a Data Platform Manager at Trustpilot. Passionate about knowledge sharing, coaching, and public speaking, she is committed to leading by example and empowering people to seek and develop the skills they need to achieve their goals. She is driven to build scalable solutions with the latest technologies while migrating from monolithic solutions using serverless applications and event-driven architecture.
Perform Cloud Data Science with Azure Machine Learning 2021
Perform Cloud Data Science with Azure Machine Learning 2021 Udemy Coupon ED Final Prep For The Exam Test Your Knowledge Pass The First Time Job Interview Questions New Get Coupon Included in This Course 33 questions Description FULLY UPDATED to the last exam version! There are a lot of courses out there that are claiming that their courses are fully updated, but they're actually not! These questions and answers are the final step in your test preparation. Each Practice Test has: the right answer for each question Based on recent certification exams. Each question is split domain wise as per the actual exam objectives Get a detailed level breakdown Domain wise to see your strength and weak areas Take your professional career to a whole new level by taking this Certifications:) Who this course is for: Current IT Specialist Who Wish to Validate Their Skills "Education is the passport to the future, for tomorrow belongs to those who prepare for it today."
Effects of Voice-Based Synthetic Assistant on Performance of Emergency Care Provider in Training
Damacharla, Praveen, Dhakal, Parashar, Stumbo, Sebastian, Javaid, Ahmad Y., Ganapathy, Subhashini, Malek, David A., Hodge, Douglas C., Devabhaktuni, Vijay
As part of a perennial project, our team is actively engaged in developing new synthetic assistant (SA) technologies to assist in training combat medics and medical first responders. It is critical that medical first responders are well trained to deal with emergencies more effectively. This would require real-time monitoring and feedback for each trainee. Therefore, we introduced a voice-based SA to augment the training process of medical first responders and enhance their performance in the field. The potential benefits of SAs include a reduction in training costs and enhanced monitoring mechanisms. Despite the increased usage of voice-based personal assistants (PAs) in day-to-day life, the associated effects are commonly neglected for a study of human factors. Therefore, this paper focuses on performance analysis of the developed voice-based SA in emergency care provider training for a selected emergency treatment scenario. The research discussed in this paper follows design science in developing proposed technology; at length, we discussed architecture and development and presented working results of voice-based SA. The empirical testing was conducted on two groups as user studies using statistical analysis tools, one trained with conventional methods and the other with the help of SA. The statistical results demonstrated the amplification in training efficacy and performance of medical responders powered by SA. Furthermore, the paper also discusses the accuracy and time of task execution (t) and concludes with the guidelines for resolving the identified problems.
The Role of AIOps in IT Modernization
The almost overnight shift of resources toward remote work has introduced the need for far more flexible, dynamic and seamless end-to-end applications, putting us on a path that requires autonomous capabilities using AIOps – Artificial Intelligence for IT Operations. It’s the topic that the SNIA Cloud Storage Technologies Initiative is going to cover on August 25, 2020 at our live webcast, “IT Modernization with AIOps: The Journey.” Our AI expert, Parviz Peiravi, will provide an overview of concepts and strategies to accelerate the digitalization of critical enterprise IT resources, and help architects rethink what applications and underlying infrastructure are needed to support an agile, seamless data centric environment. This session will specifically address migration from monolithic to microservices, transition to Cloud Native services, and the platform requirements to help accelerate AIOps application delivery within our dynamic hybrid and multi-cloud world. Join this webcast to learn: • Use cases and design patterns: Data Fabrics, Cloud Native and the move from Request Driven to Event Driven • Foundational technologies supporting observability: how to build a more consistent scalable framework for governance and orchestration • The nature of an AI data centric enterprise: data sourcing, ingestion, processing, and distribution This webcast will be live, so please bring your questions. We hope to see you on August 25th. Register today.
Deploy a Machine Learning Pipeline to the Cloud Using a Docker Container - KDnuggets
In our last post, we demonstrated how to develop a machine learning pipeline and deploy it as a web app using PyCaret and Flask framework in Python. If you haven't heard about PyCaret before, please read this announcement to learn more. In this tutorial, we will use the same machine learning pipeline and Flask app that we built and deployed previously. This time we will demonstrate how to deploy a machine learning pipeline as a web app using the Microsoft Azure Web App Service. In order to deploy a machine learning pipeline on Microsoft Azure, we will have to containerize our pipeline in a software called "Docker".
100 Best Pluralsight Free Courses and Certification 2020
Are you looking for the Best Pluralsight Courses 2020? This Pluralsight Specialization list contains the Best Courses from Pluralsight Tutorials, Classes, and Certifications. Today's world needs people who are technologically advanced. Pluralsight gives you the opportunity to be skillful through the Pluralsight Specialization Courses. You can also get Free Pluralsight Online Courses. By enrolling Pluralsight Specialization courses everyone can have the opportunity to create progress through technology and develop the skills of tomorrow. With assessment, learning paths and courses authorized by industry experts, this platform helps businesses and individuals benchmark expertise across roles, speed up release cycles and build reliable, secure products. Get lifetime accesses to the entire content including quizzes and assignments as the technology upgrades your content gets updated at no cost? Choose from a number of batches as per your convenience if you got something urgent to do, ...