Engineering


Building Intelligent Systems: A Guide to Machine Learning Engineering: Geoff Hulten: 9781484234310: Amazon.com: Books

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Introduction BuildingIntelligent Systems is a book about leveraging machine learning in practice. It covers everything you need to produce a fully functioning Intelligent System,one that leverages machine learning and data from user interactions to improve over time and achieve success. After reading this book you'll be able to design an Intelligent System end-to-end.You'll know:


Machine Learning Engineering Mentor (Part-Time/Flexible/Remote) ai-jobs.net

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Springboard runs an online, self-paced, Machine Learning Engineering Career Track in which participants learn with the help of a curated curriculum and 1-1 guidance from an expert mentor. Our mentor community – the biggest strength of our programs – comprises experts from the best organizations in the world. Our mentors range from engineers and researchers at premier companies (Netflix, Pandora, LinkedIn, Apple) to a wide variety of top-notch startups and research institutes. If you are as passionate about mentoring as you are about machine learning, and can give a few hours per week in return for an honorarium, we would love to hear from you. This 6-month course is primarily designed for Software Engineers who want to become Machine Learning Engineers.


Machine Learning Engineering Mentor (Part-Time/Flexible/Remote) (Remote)

#artificialintelligence

Springboard runs an online, self-paced, Machine Learning Engineering Career Track in which participants learn with the help of a curated curriculum and 1-1 guidance from an expert mentor. Our mentor community - the biggest strength of our programs - comprises experts from the best organizations in the world. Our mentors range from engineers and researchers at premier companies (Netflix, Pandora, LinkedIn, Apple) to a wide variety of top-notch startups and research institutes. If you are as passionate about mentoring as you are about machine learning, and can give a few hours per week in return for an honorarium, we would love to hear from you. This 6-month course is primarily designed for Software Engineers who want to become Machine Learning Engineers.


Secure Deep Learning Engineering: A Software Quality Assurance Perspective

arXiv.org Artificial Intelligence

Over the past decades, deep learning (DL) systems have achieved tremendous success and gained great popularity in various applications, such as intelligent machines, image processing, speech processing, and medical diagnostics. Deep neural networks are the key driving force behind its recent success, but still seem to be a magic black box lacking interpretability and understanding. This brings up many open safety and security issues with enormous and urgent demands on rigorous methodologies and engineering practice for quality enhancement. A plethora of studies have shown that the state-of-the-art DL systems suffer from defects and vulnerabilities that can lead to severe loss and tragedies, especially when applied to real-world safety-critical applications. In this paper, we perform a large-scale study and construct a paper repository of 223 relevant works to the quality assurance, security, and interpretation of deep learning. We, from a software quality assurance perspective, pinpoint challenges and future opportunities towards universal secure deep learning engineering. We hope this work and the accompanied paper repository can pave the path for the software engineering community towards addressing the pressing industrial demand of secure intelligent applications.


Indian American-founded Nonprofit MathandCoding Adds Machine Learning, Engineering Workshops

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The nonprofit MathandCoding, a San Francisco Bay Area-based organization that teaches coding to kids, June 11 announced it has expanded its offering to include machine learning and engineering workshops to its lessons. The organization as a whole has grown since being founded by three high school students to hold lessons at more than 25 libraries and community centers throughout the area. The success has led to co-founder Anika Cheerla saying the organization has ventured into physics, engineering and machine learning.


[D] Job outlook for Machine Learning Engineering? • r/MachineLearning

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Machine Learning/ AI development is one of the fields that I am looking into. I was wondering if you guys can tell me anything about the the job climate, how hard it is to get a job in the field and anything else that I should know.


4 Engineering Student Projects Using Machine-Learning - ESILV Graduate School of Engineering, Paris

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Here are four projects led by 5th-year engineering students majoring in Computer Science, Big Data and Connected Objects and Financial Engineering which resorted to Machine Learning.


Influence of machine learning in Engineering education

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Recent news on Sophia the robot getting citizenship in the Saudi Arabia has widely attracted daily news and social media. Despite the debates and agitations on a robot getting recognition as humans, experts view this event as a phenomenal milestone in the research of AI.


A.Levenchuk -- Machine learning engineering

@machinelearnbot

Permission granted to DeepHack and INCOSE to publish and use. Why is my program not working? You need to know why? Software engineer (systems) To advance theory? Computer Scientist You need to program working properly? Programmers are engineers: software is physical system!


Men Are Better At Maps Until Women Take This Course - Issue 54: The Unspoken

Nautilus

Sheryl Sorby, a professor of engineering education at Ohio State University, was used to getting A's. For as long as she could remember, she found academics a breeze. She excelled in math and science in particular, but "I never thought there was a subject I couldn't do," she says matter-of-factly.