computer based training


Amazon plans machine learning, software engineering, R&D hiring spree in UK

ZDNet

Retail to cloud-computing giant Amazon plans to hire over 1,000 new staff across three sites in the UK, and will open a new office in Manchester next year. "These are Silicon Valley jobs in Britain, and further cement our long-term commitment to the UK," said Doug Gurr, Amazon's UK country manager. A new corporate office in Manchester, due to open next year, will be located in the Hanover Building in the Northern Quarter. The company said the six-storey, 90,000 square-foot site will house at least 600 new staff working on software development, machine learning and R&D. Amazon said it will also expand its development centre in Edinburgh, adding 250 new staff where it already has hundreds of software engineers, machine learning scientists and user experience designers.


Amazon plans machine learning, software engineering, R&D hiring spree in UK ZDNet

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Retail to cloud-computing giant Amazon plans to hire over 1,000 new staff across three sites in the UK, and will open a new office in Manchester next year. "These are Silicon Valley jobs in Britain, and further cement our long-term commitment to the UK." said Doug Gurr, Amazon's UK country manager. A new corporate office in Manchester, due to open next year, will be located in the Hanover Building in the Northern Quarter. The company said the six-storey, 90,000 square-foot site will house at least 600 new staff working on software development, machine learning and R&D. Amazon said it will also expand its development centre in Edinburgh, adding 250 new staff where it already has hundreds of software engineers, machine learning scientists and user experience designers.


CTOs: AI doesn't replace jobs, it makes them more strategic

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Rather than allowing employee concerns to continue to mount, CTOs should work alongside their counterparts across the wider c-suite to start laying the groundwork for every single human employee to play a more strategic/decision-making role as part of an AI-augmented workforce. When CTOs hear fears of AI replacing jobs over the next few years, their message should be that people are stepping away from the factory floor and into the foreman's office. How can organisations ensure that the adoption of artificial intelligence will drive the desired business outcomes? Kalyan Kumar, Corporate Vice President and CTO at HCL Technologies, provides his insight. When people discuss AI, opinions are usually polarised into one of the two extreme schools of thought – those who believe that AI will make our lives better, and those who are convinced it will accelerate human irrelevance, leading to the loss of jobs.


Free Online Course: Neural Networks for Machine Learning from Coursera Class Central

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I honestly can't understand the multiple 5 star reviews presented on this site about the course. I'm giving it a 1 star which is a bit harsh I know but I'm doing it to offset the number of 5 star reviews here. Honestly I think the course deserves something between 2 and 3 stars depending on your approach to it. Yes Prof. Hinton is a leading expert in the field but the course materials and the way they are presented are pretty bad! I honestly can't understand the multiple 5 star reviews presented on this site about the course.


Why Do Developers Find It Hard To Learn Machine Learning?

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Machine learning (ML) is touted as the most critical skill of current times. Artificial intelligence (AI), an application of ML, is becoming pervasive. From autonomous vehicles to self-tuned databases, AI and ML are found everywhere. Industry analysts often refer to AI-driven automation as the job killer. Almost every domain and industry vertical are getting impacted by AI and ML.


How Machine Learning Will Transform eLearning - eLearning Industry

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Ever since the packet switching network known as ARPANET was demilitarized and turned over to academic researchers in the late 1970s, the fields of Information Technology and education have crossed paths and formed partnerships for the benefit and improvement of society. The activities we know as eLearning and online education today will become the standards of academic instruction tomorrow, and the manner courses are delivered will be determined by Artificial Intelligence. The technological advances listed above have unfolded over four decades; academic researchers believe that the next wave of tech progress in education will involve machine learning and other fields of AI development. The first ripples of this wave are already here, and they involve algorithms and natural language processing. Botsify, for example, is a smart chatbot platform designed specifically for the education sector, but this is only the beginning.


Learn AI for Free – Jo Stichbury – Medium

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If you're at all interested in Artificial Intelligence (AI), it's unlikely to be news to you that there is an AI skills shortage. Businesses are increasingly looking to invest in AI and are on the hunt for suitably skilled workers since traditional software teams without the experience of AI often encounter a number of challenges, as I described in a recent article over on DZone. Anyone thinking about joining the AI workforce will want to learn the subject, initially by doing some reading and research, but without committing to paying too much. As the need to recruit skilled AI staff has grown, so a number of businesses and individuals have set out to provide training courses, books, and e-learning, and the price and quality of these vary, as you would expect. As with all education, if you commit a chunk of your time, you don't want to find it wasted on out-of-date or incorrect information or to find that you are missing out on key skills after spending time and money on a course that promises to equip you appropriately.


'I want to learn Artificial Intelligence and Machine Learning. Where can I start?'

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BlockedUnblock FollowFollowing I help build the crossroads of technology, health, science and life. Sep 28 'I want to learn Artificial Intelligence and Machine Learning. Where can I start?' How I went from Apple Genius to Startup Failure to Uber Driver to Machine Learning Engineer @mrdbourke on Instagram, Photo by Madison Kanna I was working at the Apple Store and I wanted a change. To start building the tech I was servicing. I began looking into Machine Learning (ML) and Artificial Intelligence (AI). Every week it seems like Google or Facebook are releasing a new kind of AI to make things faster or improve our experience.


Smart time to learn more about artificial intelligence

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As Innovation Lead for Precision Medicine at Innovate UK I am sometimes asked about the best STEM subjects to study, usually by parents wanting to help their children select the best university courses. Something they're really interested in, I have tended to say, but now add that something involving AI (Artificial Intelligence) might be a very wise choice. AI's nothing new, but now seems on the verge of making a big impact in clinical settings, reflected in our competition applications in the area of precision medicine. There are many ways AI can play a role in the medical arena, where being able to find patterns and associations in large data sets is fundamental to developing new technologies and services. These large data sets include disparate patient information, such as the increasing levels of genetic information we will have about patients, and linking it to phenotypic information (observable physical properties e.g.


5 Ways Artificial Intelligence (AI) Will Transform Enterprise Learning [WHITEPAPER]

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AI can significantly enhance the learning experience thanks to learning-specific algorithms, compared to those that we're already aware of, particularly those that power AI-enabled consumer products, such as smart home assistants (Google Home, Amazon Alexa) or social media platforms that use AI to turn text into emojis on your smartphone. In the context of learning, deploying AI requires algorithms powered by a fine-tuned combination of machine learning, deep learning and natural language processing. The benefits of AI will be felt in any number of ways in enterprise learning, but we've identified five that you should start to understand as soon as you can. Additionally, AI would help learners uncover resources by suggesting various learning assets, eliminating the time and effort it would take to do this task manually. AI-enabled systems "hear" and understand language as complete sentences and their connotations while a learner talks to the learning platform.