Job summaryMachine Learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.Machine Learning University’s (MLU) mission is to teach people to apply ML to business and operational challenges. Our team is comprised of Data Scientists, Applied Scientists, and Instructional Designers to create first-in-class courses and learning assets in practical ML. As well as a Product team and Engineering team working on the registration, leaderboard and learning platforms for students. We are hiring an SDM to come join Amazon’s MLU and work with an amazing team of engineers to make learning ML a better experience!As a MLU SDM on our team, you would have the following responsibilities:* Responsible for the overall development life cycle of products.* Work closely with senior engineers to develop the best technical design and approach for new product development.* Instill best practices for software development and documentation, assure designs meet requirements, and deliver high-quality work on schedule.* Proactively communicating priorities, development status, and any team challenges to customers, TPMs/PMTs, stakeholders, and management.* Work with product managers in developing a strategy and road map to meet business goals.* Operational Excellence - monitoring & operation of production services.* Hire, build, grow and own the team.*Inclusive Team Culture*Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.*Work/Life Balance*Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.*Mentorship & Career Growth*Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We Hire and Develop the best so you can expect support in advancing your career ambitions and projects which will help you grow and develop your skills.Come join us as an SDM!

Amazon's Machine Learning University is making its online courses, previously only available to Amazon employees, freely-available to the public. This repository contains slides, notebooks, and datasets for the Machine Learning University (MLU) Computer Vision class. Our mission is to make Machine Learning accessible to everyone. We have courses available across many topics of machine learning and believe knowledge of ML can be a key enabler for success. This class is designed to help you get started with Computer Vision, learn about widely used Machine Learning techniques and apply them to real-world problems.

Most of the work positions in Deep Learning, Machine Learning, NLP, Computer Vision, or basically any of the Artificial Intelligence (AI) work require you to have at least a Bachelor's degree in Computer Science or some related area.But if you're from the United States or some other country where most people can't afford to go to the best universities, you need to find other ways to get yourself educated.Fortunately, nowadays you don't have to get a formal degree with the short supply of qualified professionals from these fields - demonstrating your expertise in other forms, such as the courses you've completed, is enough to get you a position.But with that comes a lot of people all trying to sell their own Artificial Intelligence course.In this article, I will discuss some of the best free Artificial Intelligence Courses that come from MIT, Stanford, Amazon, Harvard, and others that you can take, regardless of where you live and how much money you have - I personally took these courses on my own, or I got them recommended by close friends who took them so I can be sure they're good. (BTW I'm not sponsored by any of these. 🙄)You may also be interested in reading about the 5 Best Artificial Intelligence Books in 2020 and the top 5 Interesting FREE AI Books for absolute Beginners by Springer.    THE best free online Artificial Intelligence courses 1. Machine Learning (Andrew Ng)This Machine Learning course by Andrew Ng is probably the most popular course offered by an independent teacher.Andrew Ng co-founded Google Brain and was Chief Scientist in Baidu's A.I research division and can express information in a simplified way that you will be able to easily understand.This course is so awesome because it doesn't have a steep learning curve - which is extremely important for people who have never heard of Machine Learning - it doesn't assume that you have any previous knowledge and gradually guides you through complicated subjects to make your learning experience challenging but enjoyable.Furthermore, it avoids complex math which is probably the biggest fear for people that want to get into Machine Learning and AI.    2. CS50's Introduction to Artificial Intelligence with Python (Harvard)This 7-week Harvard course will teach you how to use machine learning in Python and explore the concepts and algorithms used in modern artificial intelligence - you will immerse yourself in ideas that give rise to technologies such as machine translation and handwriting recognition.It includes hands-on projects where you can learn about algorithms for graph searching, adversarial search, classification, optimization, logical inference, and probability theory and how to incorporate them into your own Python code.   3.

In a recent development, Amazon announced that it will make online courses by its Machine Learning University available to the public. The classes were previously only available to Amazon employees. The company believes that machine learning has the potential to transform businesses in all industries, but there's a major limitation: demand for individuals with ML expertise far outweighs supply. The Machine Learning University (MLU) was founded with an aim to meet this demand in 2016. It helped ML practitioners sharpen their skills and keep them abreast with the latest developments in the field.

"We've been using machine learning across Amazon for more than 20 years. With thousands of engineers focused on machine learning across the company, there are very few Amazon retail pages, products, fulfillment technologies, stores which haven't been improved through the use of machine learning in one way or another. Many AWS customers share this enthusiasm, and our mission has been to take machine learning from something which had previously been only available to the largest, most well-funded technology companies, and put it in the hands of every developer. Thanks to services such as Amazon SageMaker, Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, Amazon Polly, Amazon Translate, and Amazon Lex, tens of thousands of developers are already on their way to building more intelligent applications through machine learning.

Today, I'm excited to share that, for the first time, the same machine learning courses used to train engineers at Amazon are now available to all developers through AWS. We've been using machine learning across Amazon for more than 20 years. With thousands of engineers focused on machine learning across the company, there are very few Amazon retail pages, products, fulfillment technologies, stores which haven't been improved through the use of machine learning in one way or another. Many AWS customers share this enthusiasm, and our mission has been to take machine learning from something which had previously been only available to the largest, most well-funded technology companies, and put it in the hands of every developer. Thanks to services such as Amazon SageMaker, Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, Amazon Polly, Amazon Translate, and Amazon Lex, tens of thousands of developers are already on their way to building more intelligent applications through machine learning.