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Additive Technologies in Metallurgy & Mechanical Engineering
by Liudmila Radionova- 4.4
Approx. 14 hours to complete
But not every experienced engineer can imagine where and how additive technologies can be applied in mechanical engineering and especially in metallurgy. • Applications of additive technologies in metallurgy; • Application of selective laser fusion in mechanical engineering; Application of additive technologies in mechanical engineering SLM technologies in mechanical engineering Detonation spraying application in metallurgy and mechanical engineering...
Engineering Maintainable Android Apps
by Dr. Douglas C. Schmidt , Michael Walker , Dr. Jules White- 4.5
Approx. 9 hours to complete
Students will work on the appropriate automated unit quizzes, based on the material covered in the lecture videos. These lessons will demonstrate the benefits of good software engineering practices that are targeted at creating maintainable code for mobile apps. Software Engineering & Testing I Software Engineering as Search Software Engineering & Testing II...
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
Approx. 16 hours to complete
In this course, you will develop your data science skills while solving real-world problems. NOTE: This is the third and final course in the Data Science with Databricks for Data Analysts Coursera specialization. To be successful in this course we highly recommend taking the first two courses in that specialization prior to taking this course. Feature Engineering in Decision Trees...
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
Approx. 6 hours to complete
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. This is the first course in the Genomic Data Science Specialization. Important Molecules in Molecular Biology Software Engineering Course Project Instructions and Reading Course Project...
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. Data and Concept Change in Production ML Issues in Training Data Feature Engineering Techniques Feature Engineering and Preprocessing ML Metadata in Action Course 2 Optional References...
Exploratory Data Analysis for Machine Learning
by Mark J Grover , Miguel Maldonado- 4.6
Approx. 8 hours to complete
This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting....
MBSE: Model-Based Systems Engineering
by Ken English- 4.5
Approx. 21 hours to complete
This Model-Based Systems Engineering (MBSE) course and the Digital Thread courses featured earlier in this specialization bring together the concepts from across digital manufacturing and design, forming a vision in which the geometry of a product is just one way of describing it. Systems Engineering Introduction: MBSE: Model-Based Systems Engineering Introduction to Systems Engineering...
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Machine Learning Rapid Prototyping with IBM Watson Studio
by Mark J Grover , Meredith Mante- 4.6
Approx. 9 hours to complete
An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This course is intended for practicing Data Scientists. Feature Engineering Course Prerequisites Automated Feature Engineering and Hyperparameter Optimization Automated Feature Engineering...
Software Processes and Agile Practices
by Kenny Wong- 4.7
Approx. 8 hours to complete
This course delves into a variety of processes to structure software development. 2: Software Engineering Activities 2A: Software Engineering Activities 2B: Software Engineering Activities Course Resources: Software Processes and Agile Practices Course Map: Software Processes and Agile Practices Congratulations and Preview a Capstone Course Course Final Assessment (Graded)...
Industrial Biotechnology
by Prof. Nicholas Turner , Prof. Nigel Scrutton- 4.7
Approx. 11 hours to complete
In the second part of the course we will look at how these technologies translate into real world applications which benefit society and impact our everyday lives. By the end of this course you will be able to: Understand the principles and role of bioprocessing and biochemical engineering in industrial biotechnology. Controlling and engineering pathways in Synthetic Biology...