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List of Machine Learning Certifications and Best Data Science Bootcamps

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In this article, I've listed down the essential resources to master the basic and advanced version of data science using: Global Machine Learning Certifications – This list highlights the widely recognized & renowned certifications in machine learning which can add significant weight to your candidature, thereby increasing your chances to grab a data scientist job. This certification offers multiple courses such as algorithms for data science, probability and statistics, machine learning for data science, exploratory data analysis. It teaches aspiring data science candidates to learn data mining, machine learning, big data and data science projects and work with non-profits, federal agencies and local governments and make a social impact. It teaches real world, practical skills to become a data scientist / data engineer.


The Chatbot Therapist Will See You Now

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Created by a team of Stanford psychologists and AI experts, Woebot uses brief daily chat conversations, mood tracking, curated videos, and word games to help people manage mental health. Scientists who recently looked at text-chat as a supplement to videoconferencing therapy sessions observed that the texting option actually reduced interpersonal anxiety, allowing patients to more fully disclose and discuss issues shrouded in shame, guilt, and embarrassment. Yesterday, Darcy and a team of co-authors at Stanford published a peer-reviewed study in the Journal of Medical Internet Research, Mental Health that randomized 70 college students and asked them to engage with Woebot or a self-help e-book for two weeks. But using those results to claim it can significantly reduce depression may expose Woebot to legal liabilities that bots in supporting roles have managed to avoid.


Facebook's Just Revealed That Its Chatbots Can Negotiate as Well as Humans

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Over time, the bots learned to go beyond simply mimicking humans and instead became more unpredictable with their responses. To test the model's effectiveness, Facebook created scenarios with a hypothetical set of objects. Facebook used an "end-to-end" training model, which means the process could be altered to give the algorithm other goals similar to the one in the study. In an email, Dhruv Batra, a Facebook visiting researcher who worked on the project and also teaches computer science at the Georgia Institute of Technology, told Inc. that Facebook doesn't have any plans to implement the technology into its product yet.


The Chatbot Therapist Will See You Now

#artificialintelligence

Created by a team of Stanford psychologists and AI experts, Woebot uses brief daily chat conversations, mood tracking, curated videos, and word games to help people manage mental health. Scientists who recently looked at text-chat as a supplement to videoconferencing therapy sessions observed that the texting option actually reduced interpersonal anxiety, allowing patients to more fully disclose and discuss issues shrouded in shame, guilt, and embarrassment. Yesterday, Darcy and a team of co-authors at Stanford published a peer-reviewed study in the Journal of Medical Internet Research, Mental Health that randomized 70 college students and asked them to engage with Woebot or a self-help e-book for two weeks. But using those results to claim it can significantly reduce depression may expose Woebot to legal liabilities that bots in supporting roles have managed to avoid.


Will the machines take over our jobs? Ipsos MORI Almanac

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People have always had a fascination with robots – from Da Vinci's automatons in the 15th century right the way through to Channel 4's biggest drama hit in 20 years, Humans, which is back for a second season. The power and capability of robotics and computing is increasing at pace – Google Deepmind's AlphaGo programme finally beat Lee Sedol at the game'Go' earlier this year, something programmes have aimed for since IBM's Deep Blue beat chess champion Garry Kasparov in 1995. Our fascination at this progress is certainly tinged with fear. While it may make for excellent TV, we are not comfortable with the idea of machines coming for our jobs, our partners and world domination. The robot apocalypse is still (hopefully) a while off, so rather than hiding in a bunker and waiting for the end, we should instead look to the world of chess as an example of how to make the most of technology.


APIs and open banking win most airtime at Sibos 2016

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Discussions during Swift's annual Sibos conference in Geneva were dominated by talk of open banking and open APIs, which create both opportunities and challenges for banks. This is the first of five key takeaways from the event explored in Finextra's review of Sibos 2016, produced in association with SAP, and published today. It was clear from Finextra's interviews with industry leaders during the event as well as from the discussions on the main stages of the conference that banks increasingly understand open banking, underpinned by open APIs, is an opportunity for them. However, as the new report details, it was also clear that banks face a challenge in ensuring their systems can handle open APIs. Open banking will be a spur to further collaboration between banks and fintechs – as will a number of other key drivers shaping the industry currently, as the report examines.


Brain activity is too complicated for humans to decipher. Machines can decode it for us.

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Over the past several years, Jack Gallant's neuroscience lab has produced a string of papers that sound absurd. In 2011, the lab showed it was possible to recreate movie clips just from observing the brain activity of people watching movies. Using a computer to regenerate the images of a film just by scanning the brain of a person watching one is, in a sense, mind reading. Similarly, in 2015, Gallant's team of scientists predicted which famous paintings people were picturing in their minds by observing the activity of their brains. This year, the team announced in the journal Nature that they had created an "atlas" of where 10,000-plus individual words reside in the brain -- just by having study participants listen to podcasts.


Using AI for Insurance Customer Engagement

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Behavioural change is a very tricky thing. We humans are so fickle. We see a bright shiny wearable device that can track our every move and we think it's our "silver bullet", a "ticket" to achieving our health and fitness dreams. Only for guilt to set in, as after a short time, the wearable device winds up in our top drawer. We knew the fitness data was great, but we really didn't know what to do with it.


Why bees could be the secret to superhuman intelligence

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Louis Rosenberg thinks he has found a way to make us all a lot smarter. Rosenberg runs a Silicon Valley startup called Unanimous AI, which has built a tool to support human decision-making by crowdsourcing opinions online. It lets hundreds of participants respond to a question all at once, pooling their collective insight, biases and varying expertise into a single answer. Since launching in June, Unanimous AI has registered around 50,000 users and answered 230,000 questions. Rosenberg thinks this hybrid human-computer decision-making machine – once dubbed an'artificial' artificial intelligence – could help us tackle some of the world's toughest questions.


Toyota brings Prius Challenge to Sonoma Raceway

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Toyota Research Institute (TRI), with an office in Palo Alto, is bringing the Prius Challenge to Sonoma Raceway for a competitive event designed to engage the startup and tech community. The event will be held March 3, 2017, and will include a team competition where participants strive to optimize their driving using strategies via an app created specifically for the event. The Prius Challenge originated at Toyota's headquarters in Japan, where participants battle it out to see who can achieve the best fuel economy and efficiency rating on a Prius within a target time range. While Toyota employees and dealers have been able to participate in the challenge, this is the first time that members of the public will have the chance to compete. "TRI is excited to host the Prius Challenge and introduce a competition that will allow participants to use machine learning and sophisticated data analysis tools to test out their theories in the real world," said Gill Pratt, CEO at Toyota Research Institute, Inc. "Silicon Valley and the Bay Area are a hotbed for automotive talent and innovation, and this event is the perfect opportunity for TRI to engage with the tech community and have some fun in the process."