- It’s not surprising as conversations are at the heart of unlocking opportunities such as a new job, business lead or career advice.
- That’s why we’re rolling out an even smarter messaging experience with the ability to message a connection from wherever you may be on LinkedIn, along with suggestions that can help connect you to a new job.
- For example, you can have a conversation with a connection without ever leaving their profile, or reach out to someone directly from the LinkedIn Feed.
- In fact, nearly 50% of LinkedIn members have found a job through a mutual connection.
- For example, when looking at a job posting at a company you’re interested in we’ll show you which of your connections work there, or who can introduce you to someone at the company.
Did you know that 80% of LinkedIn members consider professional networking to be important to career success? It’s not surprising as conversations are at the heart of unlocking opportunities such as a new job, business lead or career advice.
Continue reading “Introducing a Smarter Way to Message and Build Meaningful Relationships on LinkedIn”
- Ask an economist or a technology expert and they will happily tell you that decades of data reliably show automation has created more jobs than it has destroyed.
- The problem with this rose-tinted view of automation, however, is its focus on big averages that take little account of individuals’ experiences.
- As tempting as it may be to pour money into boosting automation in return for the long-awaited boost to productivity and headline economic growth, doing so without having a clear plan for retraining displaced workers would cause untold harm to millions of individuals.
- As the Institute for Public Policy Research points out , some workers are far more vulnerable than others to automation.
- If the government fails to act, the result could all too easily be a spike in unemployment and poverty in places with the lowest skilled workers – a very high price to pay for a bit of average productivity growth.
Investment in education and retraining is needed to equip people to adapt as automation shakes up their workplaces
Continue reading “Beware the unintended consequences of a robot revolution”
An archive of all O’Reilly data ebooks is available below for free download. Dive deep into the latest in data science and big data, compiled by O’Reilly edito…
Continue reading “80+ Free Data Science Books”
- @drsimonj here to introduce pipelearner – a package I’m developing to make it easy to create machine learning pipelines in R – and to spread the word in the hope that some readers may be interested in contributing or testing it.
- This post will demonstrate some examples of what pipeleaner can currently do.
- Fitting all of these models takes about four lines of code in pipelearner.
- Head to the pipelearner Github page to learn more and contact me if you have a chance to test it yourself or are interested in contributing (my contact details are at the end of this post).
- For updates of recent blog posts, follow @drsimonj on Twitter, or email me at firstname.lastname@example.org to get in touch.
@drsimonj here to introduce pipelearner – a package I’m developing to make it easy to create machine learning pipelines in R – and to spread the word in the hope that some readers may be interested in contributing or testing it. This post will… | blogR | R tips and tricks from a scientist. All R Markdown docs with full R code can be found at my GitHub: https://github.com/drsimonj/blogR
Continue reading “Easy machine learning pipelines with pipelearner: intro and call for contributors • blogR”
- Toronto’s tech community is getting another big boost thanks to a new artificial intelligence institution that’s slated to open in the city.
- The Vector Institute, as the Toronto Star reports, will focus on both research and business-related ventures.
- As the Star writes, the Vector Institute will get $50 million from the province over five years and at least $40 million from the federal government as part of the newly announced $125-million Pan-Canadian Artificial Intelligence Strategy.
- Among the 30 corporate backers, sponsors include the big five banks, Google, Loblaws, and Air Canada.
- The institute is also affiliated with the University of Toronto.
Toronto’s tech community is getting another big boost thanks to a new artificial intelligence institution that’s slated to open in the city.
Continue reading “Toronto is building an institute for artificial intelligence”
- The company, which has the eerie name of Soul Machines, has created a virtual chatbot that can not only portray human emotion, but also read human facial expressions.
- Soul Machines call this the avatar’s ’emotional intelligence’ or EI, which allows bots like Nadia to connect with people on a more subtle emotional level.
- The brain behind Nadia is Mark Sagar, professor at the University of Auckland and CEO of Soul Machines.
- Nadia, who is voiced by none other than the amazingly talented Cate Blanchett, was developed for the Australian government to improve services for people with disabilities.
- Nadia was created to fix all that and make a more human service available anytime and anywhere.
A new chatbot from Soul Machines is not only incredibly life-like but it can also read people’s emotions through tone and facial expressions.
Continue reading “Meet Nadia, the scarily ‘human’ chatbot who can read your emotions”
- The prospect that artificial intelligence (AI) might one day surpass human intelligence is one that many people, including a number of notable personalities, are terrified of.
- As it is, deep learning machines have already shown a number of ways where they outperform humans.
- There’s one area, though, where humans are still superior, and that’s the speed at which we learn.
- Right now, humans learn at a rate that’s 10 times faster than that of a deep learning machine.
- And it is this ‘superiority’ that has kept that ‘AI taking over humans’ apocalyptic view in the background.
Google Develops A Deep Learning Machine That Could Learn As Fast As Humans
Continue reading “Google Develops A Deep Learning Machine That Could Learn As Fast As Humans”