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Foundations of Healthcare Systems Engineering
by Dr. Matthew (Matt) Montoya- 4.7
Approx. 6 hours to complete
In this course you will learn about the current lack of synchronized, efficient, and integrated healthcare systems, which are some of the drivers for improvements to healthcare delivery. Also in this course, you will learn about the different types of systems and how they are translated to the healthcare field for appropriate systems engineering process applications, with exemplars....
Understanding Plants - Part II: Fundamentals of Plant Biology
by Professor Daniel Chamovitz, Ph.D.- 4.8
Approx. 6 hours to complete
In the last lecture we'll learn about the fascinating, important and controversial science behind genetic engineering in agriculture. Teachers interested in teaching this course in their class rooms are invited to explore our Academic High school program here – https://tauonline. 6 Case study: Genetic engineering in combating viruses in agriculture 9 Concerns about the use of genetic engineering in agriculture...
Feature Engineering
by Google Cloud Training- 4.5
Approx. 18 hours to complete
Welcome to Feature Engineering where we will discuss good vs bad features and how you can preprocess and transform them for optimal use in your models. Lab Intro: Basic Feature Engineering in BQML Lab Intro: Basic Feature Engineering in Keras Lab Intro: Advanced Feature Engineering in BQML Lab Intro: Advanced Feature Engineering in Keras...
Introduction to Systems Engineering
by Dr Mike Ryan , Dr Ian Faulconbridge- 4.7
Approx. 22 hours to complete
The course takes you step by step through the system life cycle, from design to development, production and management. Systems Engineering Module 1 Summary (Outro) Course Notes and Text Books Systems Engineering and its Relevance and Benefits Systems Engineering Module 8 Summary (Outro) Masters of Systems Engineering at UNSW Canberra Systems Engineering Module 9 Summary(Outro)...
Modernizing Data Lakes and Data Warehouses with GCP
by Google Cloud Training- 4.7
Approx. 9 hours to complete
This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment....
Introduction to Data Engineering
by Rav Ahuja , Priya Kapoor- 4.7
Approx. 10 hours to complete
This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. In this course, you will learn about the data engineering lifecycle. Data Engineering is recognized as one of the fastest-growing fields today. Career Opportunities and Data Engineering in Action Career Opportunities in Data Engineering...
Build, Train, and Deploy ML Pipelines using BERT
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.7
Approx. 10 hours to complete
In the second course of the Practical Data Science Specialization, you will learn to automate a natural language processing task by building an end-to-end machine learning pipeline using Hugging Face’s highly-optimized implementation of the state-of-the-art BERT algorithm with Amazon SageMaker Pipelines. Introduction to Feature Engineering Feature Engineering Steps Feature Engineering Pipeline...
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Fatigue Failure in Different Fields of Engineering
by Kazem Reza Kashyzadeh- 0.0
Approx. 23 hours to complete
The aim of this course is to introduce MSc graduates, Ph. The contents of this course include 12 years of my activities and experience in academic and industry. Introduction to Fatigue Failures in Different Fields of Engineering Real examples of fatigue failure in various industries, including Mechanical engineering Real examples in various fields of engineering Closing course...
A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
Approx. 7 hours to complete
In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. How to describe the role data science plays in various contexts How statistics, machine learning, and software engineering play a role in data science A Crash Course in Data Science...
Data Processing and Feature Engineering with MATLAB
by Adam Filion , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Heather Gorr , Erin Byrne , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Cris LaPierre- 4.7
Approx. 18 hours to complete
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling. Overview of Data Processing and Feature Engineering...