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      Machine learning, concluded: Did the “no-code” tools beat manual analysis?

      news.movim.eu / ArsTechnica · Monday, 15 August, 2022 - 13:00

    Machine learning, concluded: Did the “no-code” tools beat manual analysis?

    Enlarge (credit: Aurich Lawson | Getty Images)

    I am not a data scientist. And while I know my way around a Jupyter notebook and have written a good amount of Python code, I do not profess to be anything close to a machine learning expert. So when I performed the first part of our no-code/low-code machine learning experiment and got better than a 90 percent accuracy rate on a model, I suspected I had done something wrong.

    If you haven't been following along thus far, here's a quick review before I direct you back to the first two articles in this series. To see how much machine learning tools for the rest of us had advanced—and to redeem myself for the unwinnable task I had been assigned with machine learning last year—I took a well-worn heart attack data set from an archive at the University of California-Irvine and tried to outperform data science students' results using the "easy button" of Amazon Web Services' low-code and no-code tools.

    The whole point of this experiment was to see:

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      Setting our heart-attack-predicting AI loose with “no-code” tools

      news.movim.eu / ArsTechnica · Tuesday, 9 August, 2022 - 13:00 · 1 minute

    Ahhh, the easy button!

    Enlarge / Ahhh, the easy button! (credit: Aurich Lawson | Getty Images)

    This is the second episode in our exploration of "no-code" machine learning. In our first article , we laid out our problem set and discussed the data we would use to test whether a highly automated ML tool designed for business analysts could return cost-effective results near the quality of more code-intensive methods involving a bit more human-driven data science.

    If you haven't read that article, you should go back and at least skim it . If you're all set, let's review what we'd do with our heart attack data under "normal" (that is, more code-intensive) machine learning conditions and then throw that all away and hit the "easy" button.

    As we discussed previously, we're working with a set of cardiac health data derived from a study at the Cleveland Clinic Institute and the Hungarian Institute of Cardiology in Budapest (as well as other places whose data we've discarded for quality reasons). All that data is available in a repository we've created on GitHub, but its original form is part of a repository of data maintained for machine learning projects by the University of California-Irvine. We're using two versions of the data set: a smaller, more complete one consisting of 303 patient records from the Cleveland Clinic and a larger (597 patient) database that incorporates the Hungarian Institute data but is missing two of the types of data from the smaller set.

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      No code, no problem—we try to beat an AI at its own game with new tools

      news.movim.eu / ArsTechnica · Monday, 1 August, 2022 - 13:00 · 1 minute

    Is our machine learning yet?

    Enlarge / Is our machine learning yet?

    Over the past year, machine learning and artificial intelligence technology have made significant strides. Specialized algorithms, including OpenAI's DALL-E, have demonstrated the ability to generate images based on text prompts with increasing canniness. Natural language processing (NLP) systems have grown closer to approximating human writing and text. And some people even think that an AI has attained sentience . (Spoiler alert: It has not .)

    And as Ars' Matt Ford recently pointed out here , artificial intelligence may be artificial, but it's not "intelligence"—and it certainly isn't magic. What we call "AI" is dependent upon the construction of models from data using statistical approaches developed by flesh-and-blood humans, and it can fail just as spectacularly as it succeeds. Build a model from bad data and you get bad predictions and bad output—just ask the developers of Microsoft's Tay Twitterbot about that.

    For a much less spectacular failure, just look to our back pages. Readers who have been with us for a while, or at least since the summer of 2021, will remember that time we tried to use machine learning to do some analysis—and didn't exactly succeed. ("It turns out 'data-driven' is not just a joke or a buzzword," said Amazon Web Services Senior Product Manager Danny Smith when we checked in with him for some advice. "'Data-driven' is a reality for machine learning or data science projects!") But we learned a lot, and the biggest lesson was that machine learning succeeds only when you ask the right questions of the right data with the right tool.

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      How to get started with machine learning and AI

      news.movim.eu / ArsTechnica · Wednesday, 22 June, 2022 - 13:00 · 1 minute

    "It's a cookbook?!"

    Enlarge / "It's a cookbook?!" (credit: Aurich Lawson | Getty Images)

    "Artificial Intelligence" as we know it today is, at best, a misnomer. AI is in no way intelligent, but it is artificial. It remains one of the hottest topics in industry and is enjoying a renewed interest in academia. This isn't new—the world has been through a series of AI peaks and valleys over the past 50 years. But what makes the current flurry of AI successes different is that modern computing hardware is finally powerful enough to fully implement some wild ideas that have been hanging around for a long time.

    Back in the 1950s, in the earliest days of what we now call artificial intelligence, there was a debate over what to name the field. Herbert Simon, co-developer of both the logic theory machine and the General Problem Solver , argued that the field should have the much more anodyne name of “complex information processing.” This certainly doesn’t inspire the awe that “artificial intelligence” does, nor does it convey the idea that machines can think like humans.

    However, "complex information processing" is a much better description of what artificial intelligence actually is: parsing complicated data sets and attempting to make inferences from the pile. Some modern examples of AI include speech recognition (in the form of virtual assistants like Siri or Alexa) and systems that determine what's in a photograph or recommend what to buy or watch next. None of these examples are comparable to human intelligence, but they show we can do remarkable things with enough information processing.

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      How we learned to break down barriers to machine learning

      news.movim.eu / ArsTechnica · Thursday, 19 May, 2022 - 16:12

    Dr. Sephus discusses breaking down barriers to machine learning at Ars Frontiers 2022. Click here for transcript . (video link)

    Welcome to the week after Ars Frontiers! This article is the first in a short series of pieces that will recap each of the day's talks for the benefit of those who weren't able to travel to DC for our first conference. We'll be running one of these every few days for the next couple of weeks, and each one will include an embedded video of the talk (along with a transcript).

    For today's recap, we're going over our talk with Amazon Web Services tech evangelist Dr. Nashlie Sephus. Our discussion was titled "Breaking Barriers to Machine Learning."

    Read 27 remaining paragraphs | Comments

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      Ars Frontiers is next week—here’s what’s on tap at our first conference

      news.movim.eu / ArsTechnica · Tuesday, 3 May, 2022 - 13:00

    Ars Frontiers is next week—here’s what’s on tap at our first conference

    Enlarge (credit: Aurich Lawson)

    As we noted a couple of weeks ago with our announcement post , we're fast approaching the date for Ars Frontiers , our inaugural single-day conference. The event will be held next week, on May 12, in Washington, DC.

    We're going to be exploring the interconnectedness of innovation—looking at how the things that change our world are interlinked. As we peer into our crystal balls, we're also going to try to answer a very pressing question: Can we still drive explosive growth in these fields while prioritizing ethical technology and sustainability?

    Because conversation emboldens innovation, we've assembled a room full of subject matter experts in areas like human space flight, machine learning, information security, and bioscience to help us prognosticate. At Frontiers, Ars Technica editors will sit down and interact with those experts, and we'd love to have you on board for the ride. More details on how to request an invite to join us in person can be found at the end of this announcement.

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      Ubuntu 21.10 Release Date & Planned Features

      pubsub.do.nohost.me / OMG Ubuntu · Tuesday, 6 July, 2021 - 11:25

    ubuntu 21.10 release features Ubuntu 21.10 'Impish Indri' is due for release on October 14, 2021. IN this post we take a closer look at its release date, new features, and key changes.

    This post, Ubuntu 21.10 Release Date & Planned Features is from OMG! Ubuntu! . Do not reproduce elsewhere without permission.

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      The Best RSS Readers and News Aggregation Apps

      pubsub.dcentralisedmedia.com / LifehackerAustralia · Thursday, 18 February, 2021 - 02:10 · 4 minutes

    With Aussies waking up this morning to the news that Facebook would no longer be allowing media outlets to share content to the social media platform. It’s major news that has turned the way Aussies consume media on its head.

    If you’ve been wondering how to best get your news going forward, don’t panic. We pulled together a useful guide for you here . And in addition to that, we thought we’d share a few of our favourite RSS readers should you decide you’d like to start using that option.

    Check out the list below.

    The Best: Feedly

    Feedly got the most comments and upvotes from readers, which isn’t surprising — it’s one of the few RSS readers with a modern design and active support behind it. It’s also packed full of features. As I said in a previous post:

    Its chronological feed, flexible search and organisation tools, and cross-platform syncing are all excellent, and it helped me wean off Twitter for news — and just about everything else. Since it’s an RSS reader, Feedly can even be used to track YouTube and podcast subscriptions, blogs, and even newsletters in some cases. Oh, and both the web and mobile versions have built-in dark themes.

    Those of you who voted for Feedly cited its ease of use, customisable interface, and helpful collection tools as noteworthy, and that’s just for Feedly’s free version. A Pro version is also available for about $9/month that adds even more customisation options, lets you follow an unlimited number of sources, and gives users more granular search and tracking options like alerts for specific keywords.

    There’s also a “Team” version that gives users the ability to create “boards” the can be accessed and edited by multiple users, plus integration with apps like Slack, Microsoft Teams, and more. It’s worth mentioning that the free version is ad-supported, but these are mostly unobtrusive and kept to a minimum. (Feedly Pro and Team are entirely ad-free.)

    Even with the ads, Feedly’s free version is difficult to top. However, some readers commented that they found it to be cumbersome to use and others said they disliked the layout options. I’ll admit I needed to change some of the feed display options before I was fully on-board, but once I had my preferences locked in I haven’t looked back.

    If you’re struggling to click with Feedly, our runner-up pick is just as worthy of your consideration.

    Runner-up: Inoreader

    bzgupaoi0ydf1s154g2d.png

    Inoreader came in a close second, and if you do a cursory internet search you’ll find plenty of debates over whether Inoreader or Feedly is the superior product. In my opinion, both are excellent choices and you’ll get a great RSS reader and news aggregation solution whichever service you pick.

    The free, ad-supported versions of both services are largely identical, though Inoreader allows up to 150 sources compared to Feedly’s 100. Inoreader has a fairly similar user interface to Feedly — their dark themes are practically identical — though Inoreader’s layout is more compact and faster to navigate. Inoreader also has a built-in podcast player that will play audio in the background while you read through your feed.

    While the basic service is entirely free, Inoreader also has paid options . Users can nix ads and follow up to 500 sources for $30 a year (about $2 a month), but in order to get the best features — like an offline mode, unlimited news sources, feed automation, and robust search/tracking features — you’ll need to pony up $75 a year. Interestingly, Inoreader also lets users pick advanced features a la carte.

    The rest

    The vast majority of Lifehacker commenters were either Feedly or Inoreader users, and they are hands-down the best choices for most people. That said, a few other RSS readers are worth highlighting:

    Feedbro FeedBro is an RSS reader extension available for Firefox , Chrome , and other Chromium-based browsers like Edge and Vivaldi. It has a clean (but basic) interface you can customise, and it comes with tons of social media integration. It’s entirely free and, unlike some other RSS add-ons, is fully standalone — meaning you don’t need to sync it with another RSS service for it to work.

    Open-source options: Vienna RSS and Tiny Tiny RSS – A couple of open-source choices — Vienna RSS and Tiny Tiny RSS (or TTRSS) — were also mentioned by readers. I’m a sucker for open-source applications, and both Vienna and TTRSS lets users create self-hosted RSS readers. These will require a bit more technical skill than simply signing up for one of the other apps or add-ons above, but they’re great options for protecting your data and having full control over your news feed.

    There are also news aggregator options like Apple News and Google News which can be easily be amended to suit your daily news preferences.

    This article has been updated since its original publish date.

    The post The Best RSS Readers and News Aggregation Apps appeared first on Lifehacker Australia .

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      How To Flirt With Finesse

      pubsub.dcentralisedmedia.com / LifehackerAustralia · Thursday, 11 February, 2021 - 22:28 · 6 minutes

    You might dress well, have a cool job and be blessed with beauty, but flirting is where the real magic of attraction is, especially when it comes to first impressions. In fact, good flirting is often more effective than good looks, and it’s something anybody can learn how to do.

    Illustrations by Angelica Alzona.

    Make friendly, lasting eye contact – with a smile

    Eye contact is pivotal when flirting, and Marin suggests it’s the best way to indicate your interest. It means the difference between a friendly “how-do-ya-do” conversation and a “I’d really like to get to know you” conversation. Whether you’re across the room or already talking, eye contact has been shown to boost feelings of attraction. In one study, published in the Journal of Research and Personality , strangers were asked to stare into the eyes of other strangers. After holding a mutual, friendly gaze for two minutes, most participants reported increased feelings of passionate love toward the stranger.

    Marin says the trick to flirtatious eye contact is to maintain your gaze longer than usual. If you spot someone across the way, try to meet their gaze, hold it for a few seconds and look away. Repeat this a couple times and, if they aren’t giving you weird looks, then make your approach. Be cautious, though. While a kind gaze does wonders, an unbroken, wide-eyed stare is creepy. If you’re worried you’ll go overboard, use the triangle technique and smile. Nothing says “I like you” like a big ol’ smile .

    Approach from the front

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    The wrong kind of approach will end things before they even start. When you see someone who piques your interest, Vanessa Marin , licensed marriage and family therapist and Lifehacker contributor , recommends you always approach from the front. Nobody likes being snuck up on by a stranger, and Marin notes this is especially true for men trying to approach women.

    If they’re facing away, either make your way around or wait for them to move. And if they’re at the bar, at least grab a seat next to them instead of rudely tapping them on the shoulder (if, y’know, COVID restrictions allow for that). Approaching them from the front also gives you both a chance to catch each other’s glance and gauge interest.

    Give compliments that go beyond looks

    Compliments are great for flirting, but they’re also a dime a dozen. Dr Nerdlove , dating columnist and Kotaku contributor , suggests you step things up and compliment them on something they had a conscious hand in:

    Complimenting somebody’s looks is both unoriginal and not terribly interesting. Letting someone know that you appreciate, say, their fashion sense or their insight, on the other hand, shows that you get them on a personal level.

    “You’re cute” and “You have pretty eyes” aren’t going to cut it. If you can’t think of something that appeals to their choices, Marin says you should at least try and give them an unusual compliment. Say something like “You have a very confident-sounding voice,” or “You seem like someone who knows how to get the best out of people,” or “You have a delightfully offbeat personality.” Leave them with a compliment that will stick with them and make you unique.

    Also, ditch the pickup lines and cheesy one-liners. One study, published in the journal Sex Roles , suggests that both men and women hate “cute-flippant” opening lines. Overall, participants in the study preferred openers that were more innocuous or direct. So skip the “Are you wearing space pants?” lines and try to strike up an actual conversation about the venue, music or a mutual friend. Otherwise, just go for it and offer to buy them a drink or make a unique compliment.

    Use appropriate touch to show interest

    gdw56zc6cctcofcoql9t-scaled.jpg?auto=format&fit=fill&q=65&w=1280

    A light touch, done carefully, is an extremely effective form of flirting for both men and women. Light touching shows interest, beyond a doubt. Additionally, your flirting may not be as obvious as you think it is, so it’s great for being more direct, as long as the situation allows and the atmosphere is appropriate. When someone is certain that you’re interested, it’s easier for them to respond in kind.

    In the book Close Relationships , Dr Pamela Regan , a professor of psychology at California State University, suggests there are three main types of social touch. The first is “friendly”, which is like a light shoulder push, shoulder tap or handshake — not ideal for flirting, but good for testing the waters. The third type, “nuclear”, is the super obvious types of romantic touch, like a soft face touch or brushing someone’s hair out of their face, and is far too abrupt and forward for flirting. “Plausible deniability”, the second type of touch, is right in the middle and it’s where you want to be. It involves gentle and informal touching around the shoulder or the almost-always effective touch on the forearm. One study, published in Social Influence , found that a light touch on the forearm increased the chance participants would give out their phone number or go on a date. Just be sure the atmosphere is right when you try it. Read the other person’s body language and do not engage if you’re not sure, or you might make them feel uncomfortable.

    Use playful teasing to your advantage

    People want what they can’t have, and a little playful teasing shows that you’re interested, but also draws people in. Nerdlove recommends a simple technique called “pushing and pulling” , where, like a kitten with a string, you dangle a compliment within reach, then pull it back. Here are some of Nerdlove’s examples:

    “You’re the coolest person I’ve met… at this bar, anyway.” “Holy crap, you really are such a nerd, it’s adorable!” “You’re awesome, I never meet people like you; get away from me, I just can’t talk to you.” “We’re never going to get along, we’re too similar.”

    The key here is to absolutely avoid negging or backhanded compliments, like “You’ve got a great smile, even with those teeth.” Keep it playful, friendly, and make it abundantly clear that you’re teasing. Do it with a big smile, have fun (and be self-deprecating when it’s right). With that said, however, remember to be yourself and don’t get too caught up in the idea of needing to use playful teasing all the time.

    Nerdlove says good flirting is about riffing and playing off what one another says. Don’t force a change in the conversation, and keep things light. Also, keep in mind that some people don’t like teasing or witty banter, so be ready to switch gears. If you say something unfunny or upsetting, apologise and change the topic. Don’t make it about you, and don’t shift the blame onto them, like “I’m sorry you were offended.” Acknowledge that you messed up and move on to a happier subject. When in doubt, Nerdlove suggests you just be a great listener . It gives people a chance to open up about themselves, and gives you a chance to relax.

    Read signals and take a hint

    oatp5zxvehwpugtfgmvl-scaled.jpg?auto=format&fit=fill&q=65&w=1280

    Things won’t always go your way when you flirt, so it’s important to know when to throw in the towel. Nerdlove suggests it all comes down to watching the other person’s body language and listening to how they respond. If you see these signals, dial it back:

    • They’re being polite, but unresponsive.
    • Their smiles are quick smirks that don’t look authentic.
    • They give short, uncomfortable laughs.
    • They’re not volleying back jokes or questions.

    Nobody likes an overbearing flirt. It’s pushy, awkward and super skeezy. Also, people talk. You never know when one bad social interaction will make things worse for you in the long run. If you swing and miss, shake it off, save face and give it a shot another day.

    This article has been updated since its original publish date.

    The post How To Flirt With Finesse appeared first on Lifehacker Australia .