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Hohlstecker plus minus betting

When trying RDP, however, the session would start, show the Nvidia logo, and close again. Which led me to just install xfce4 , as suggested in the previous link. This solved the issue and I could now connect using remote desktop. The story wasn't over however. When connected, I noticed the terminal console wasn't opening, and apparently this is because it was trying to use the Gnome terminal. Not yet. While doing the previous steps, I noticed my connection to the Jetson was very unstable.

The SSH kept dropping and pings would fail. Initially I thought this was due to the lack of antennas on my Wifi adapter, but turns out it was due to the fact that it was being put to sleep by the OS. This doesn't work. This actually runs, but it's not persistent across reboots. Note that the instructions assume gedit is used to create files, but I used vim instead -- so replace as appropriate with whatever text editor you have installed.

I don't know if this issue is specific to the Wifi adapter I'm using, and if it also happens with USB Wifi adapters, but I found quite a few people asking for help with this and several of the previous challenges I had. Have to admit this wasn't the best user experience I've ever had.

So what's next? I'll write about how it goes. Tuesday, January 7, 10web. Note: refers to a recording done in Portuguese. Earlier in November I recorded a podcast for 10web. The field is very much in flux, but it's clear to me there's some backlash and more caution and realism are coming to the field. Maybe full level 5 autonomous driving is many years away, but the investment will help it progress and find new solutions.

If you understand Portuguese, hear it and let me know what you think. To close off, a word of thanks to the 10web. Labels: AI , podcast. Friday, December 6, Quick career update. Well, this is one of those This meant getting back closer to technology and specifically to the Appdev space.

So to sum it up, and getting back to the promise I mentioned at the top: you can expect to see more activity here, and the topics will likely be a mix of Appdev on Azure e. In this later topic, I post very often on Twitter on lokijota on developments and topics I feel are more relevant or interest me - and always trying to avoid the over-hype that plagues the industry.

Labels: Career. Some points discussed were: "I'm worried about that, but I prefer to have centralization and improved health care, than not having anything" "how do I exert the rights over my data, or on AIs targeting me? There are constant news of data breaches in the news including by the big ones, Google and Facebook , and there is the feeling that these companies are above the law.

Having data is just one issue, having the data being used to make decisions which are not transparent is even more worrying. See this case , for example. Access to our data, plus an unexplainable report, people's lives affected, and we have a dystopian Sci-Fi universe with us. What follows are my comments and personal highlights of the night, very much aligned with the views of Dr.

Ming who totally "stole the show" and whose more careful approach towards AI is close to my own. What is AI? This was the first topic of the night, and it's a question that has been debated to exhaustion. The " under uncertainty " detail is curious -- my reading is that if when is certainty, a simpler deterministic rules-based system could be used. Something else I found curious was the historical note that " proving theorems automatically one of the first uses of "AI" in the s is simpler than determining if people sitting here in the first row are smiling" , which has only become feasible to computers in the last years.

For most of us, the second task is trivial and the first very complex -- and this does seem to imply that current Artificial Intelligence is very different from Human Intelligence. Things started to get more interesting from here onwards. Ming said that typically new technology starts by " benefiting those who need it the least ", and relativizing that initial impact.

It's easy to contradict this just think of Facebook , but what she meant was that you won't solve world hunger, or poverty, or go to Mars, with an app using AI. And in that, she's right. The discussion then went briefly to the obvious possibilities in terms of healthcare and education, where the potential benefits are huge, but quickly steered into more sensitive topics, namely the impact on jobs.

By this point in the discussion, it was clear there were two sides on stage: Dr. Ming on the side of need for moderation, and Prof Saria on the side of absolute optimism. Another interesting point was again made by Dr.

Ming: "It's not impossible to create a robot to pick up berries, or to drive a car, but it's much simpler to replace a finantial services analyst" or a doctor? The key message here was: AI will probably have more impact on middle-class qualified jobs than lower skilled jobs , just because they are simpler to replace.

And in doing that, it will obviously increase social inequality. The argument is just obvious and simple. And this does include software developers, by the way -- how much time is spent writing boilerplate code? This section ended with something more speculative, "which jobs will be the last to automate? But this may be antropocentric optimism: we see Creativity as being something uniquely human, so naturally we see it as our last bastion " against the machines " - even if animals also have it just to a lesser degree.

Today we have AI's winning games like Go or Chess using unique strategies we had never considered, or creating works of art or music. So we shouldn't bet too much on this answer - maybe jobs dealing with the unexpected would be a better answer. How can Society benefit from AI? This seemed to be a simpler part of the panel, but it went straight into the topic of explainability , a complicated if not impossible task for the more complex approaches to AI such as Deep Neural Networks.

Saria said she thought the need to explain should simply be replaced by trust. Most of the audience picked the second, but a better option would be c have an AI augment the human diagnosis, increasing its accuracy and providing the explainability. It seemed clear that in many cases we'll need some form of explainability such as when beeing considered for a job, or getting a loan, or in healthcare -- and GDPR actually mandates it , and in others that's less relevant like in face recognition or flying an airplane.

My view is that if it's something that seriously impacts people's lives, it should be explainable. But there is a contradiction in this position: as the books " Strangers to Ourselves " by Timothy D. So there's a double standard at stake, when demanding it of machines. This post is already long, so I'll continue in a part 2. The materials for this lab have just been published on GitHub , and the following are my learnings while doing it. The goal is to implement a Classifier, a discriminator able to classify a value into one of two classes -- just like a Logistic Regression classifier.

Or in other words, a Quantum Perceptron. It is simple to implement if you know the core concepts of Quantum Computing, and most of it is very guided -- you just have to fill in the blanks with the right Quantum primitives, following the instructions in the comments. This past week I organized a 4-day technical training for internal teams called LearnAI.

A few months back I completed Coursera's Data-driven Astronomy , and felt this was an amazing way of exploring big-data challenges while also learning some Astronomy along the way. Anyway, I have put the resulting Notebooks and Word document with setup instructions on github. The exercises have the format of a Notebook where you fill in the missing Python code, and I've also included a solutions' notebook. The exercises are mostly introductory and should take max 3 hours to complete.

PS: it feels good to code once in a while ;-. Labels: astronomy , Databricks , Spark 2. Saturday, December 1, Spark 2. Anyway, my goal was just to satisfy my curiosity about the performance differences at a high level, not compare the formats in general. For that, this deck is a couple of years old but has interesting information.

Labels: Avro , Parquet , Spark 2. Friday, May 25, Should algorithms be in the driver's seat? Labels: AI. Sunday, May 20, Truly intelligent machines. These days, headlines tout the latest breakthroughs in machine learning and neural networks. We read about computers that can master ancient games and drive cars. Pearl is underwhelmed. As he sees it, the state of the art in artificial intelligence today is merely a souped-up version of what machines could already do a generation ago : find hidden regularities in a large set of data.

I have downloaded a few free Machine Learning books a couple of weeks ago, and what is notorious is that they jump very quickly into math and statistics, from linear algebra to derivatives and calculus. A few days ago my partner was doing something with Deep Neural Networks, and I suddenly saw her get paper and pencil and start solving derivatives.

There was no complex maths or statistics. These are proving successful and having a major impact in many areas, with more to come. But is this it? I felt an apostate when I developed powerful tools for prediction and diagnosis knowing already that this is merely the tip of human intelligence.

Curve fitting. That sounds like sacrilege, to say that all the impressive achievements of deep learning amount to just fitting a curve to data. It turns out they can. Can you have a robot scientist that would plan an experiment and find new answers to pending scientific questions?

The impact in our lives will continue to happen. And just one more quote from this interview. First, there are those who are intoxicated by the success of machine learning and deep learning and neural nets. Select Your Cookie Preferences We use cookies and similar tools to enhance your shopping experience, to provide our services, understand how customers use our services so we can make improvements, and display ads.

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Werde ich nicht verstehen! Damits besser aussieht am Stecker?!?!? Naja ok wers braucht Ich besitze ein dickeres, und ganz ehrlich das Kabel Nervt mich, das ist sooo unflexibel und wenn man es rein steckt dadurch das es sich nicht so biegt sitzt der Toslink Eingang unter Spannungsdruck, was soll daran gut sein?

Daran finde ich nichts gut. Translate review to English. Hier sollte verbessert werden! Ich habe mehrere Lagen sehr dunkler Folie genommen um das Problem in den griff zu bekommen. Somit hat man immer ein bis 4 LED die sehr hell leuchten. Dieser Umschalter ist erstaunlich klein und dennoch praktisch. Dennoch sicher seine 4 Sterne wert.

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To calculate your payout for a moneyline bet, you should know that the holy number is dollars. Let's imagine Bill from Las Vegas wants to place a bet on this match. The odds are as follows:. In this example, the Los Angeles Lakers are the favorite, while the Warriors are the underdog.

Straight bets are types of betting wagers on a single sporting event that carries a point spread, the final score of a game, moneyline, run line or puck line. You might wonder, doesn't that cover basically all games? The difference here is that a bet is only straight up when it regards a single sporting event -- the bet should not cross multiple games.

This term is very common across moneyline bets as they always regard a single game. The point spread bet is there to give bettors the possibility to bet on any kind of match, no matter the skill difference between the two teams. You bet on the difference in the number of points between the two teams. The odds might look like this:. In this example, the negative number indicates the favorite, while the positive number indicates the underdog. Let's say you bet on the Spurs to cover the spread.

For your bet to be successful, the 76ers need to win by at least 2 points. If not, the gamblers who bet the point spread on the Spurs would win. The plus and minus sign are predictive of which team is more likely to win the game, straight-up. Sports bettors put their money on the final score of the match. The American odds could look like this for this game:.

In this case, you should look out for the relative offensive and defensive capabilities of both teams. This is one of the most straightforward bets to understand, but it can be tough to predict. Anyone who places sports wagers now and then is open to taking a risk. You are wagering your money on the outcome of an event that's insecure. But some bettors take on more risk than others. For example, a single bet generally has a greater probability of success than a parlay bet, which offers higher payouts for the additional risk.

To show a couple of examples, this is what a parlay bet could look like using American odds:. It's a risky situation as both your bets need to be successful, but it could bring you big rewards in return. With parlay bets, you should always be cautious of not betting on too many matches at once. Still, if you enjoy parlay bets, then you should join BetAnySports , as its parlay and teaser odds are the best in the online sportsbook industry.

Now, there are other types of bets that are available for those who enjoy taking risks. Two examples could be:. No matter where you are in the United States, there are dozens of sportsbooks out there ready to take your bets. This shift in behavior could affect shopping habits. Instead of buying large-sized products, people want smaller items that could be enjoyed during the game and by the family in the days after. The survey noted a rise in the popularity of snack-sized variety packs, which can be enjoyed by multiple people who may have varying tastes.

Americans are also going to the store less often, but buying more things during each visit: Baskets are up about 20 percent over traditional grocery store trip purchases, Del Pozzo said. They no longer shop for groceries on Saturday or Sunday, instead opting for midweek trips. About 86 percent of people surveyed planned to buy some of their Super Bowl snacks in the week prior to the game. However, one out of five people still intended to buy snacks within six hours of kick-off.

Outside of shopping, the amount of snacks we want to eat has changed, Del Pozzo pointed out. Chips and dip have been the top Super Bowl snack for the third year in a row, but the demand for those items has peaked during the pandemic. Unflavored tortilla chip sales are up 18 percent since mid-March according to IRI Data, while dips are up 15 percent.

In addition, Frito-Lay noticed a trend towards what Del Pozzo called "meal prep," or people putting together recipes for snacks and accompaniments like dips rather than just eating it out straight out of the bag or bottle. Feb 5, Meanwhile, name brands we're used to seeing ads from during the big game will be notably absent, including Coke, Pepsi, and Budweiser.

Feb 3,

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Online sports betting casino poker horse racing at bovada I was interested, but cautious about ingredients. I mean, what you say is fundamental and all. For the bedroom we have a bed and two night tables. The cock ring fits around him snuggly. A recent study shows that children who are taught by the father are relatively sharper and more receptive to new information. Just like men get sexual anxiety and lose there boners, that can happen to women as well. See this casefor example.
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Bookmakers across the world use the following types of odds:. Since our focus lies on the meaning of the plus sign and the minus sign, we focus on the American odds. These are also called the moneyline odds, as lots of sports bettors use this odds type for their moneyline bets. This NFL game was the final game of the season, and there was no clear favorite. Still, the oddsmakers have to choose which party is the underdog, and which is the favorite. The moneyline odds for Super Bowl 54 at BookMaker sportsbook looked like this:.

In this example, the 49ers carried the plus sign and were, therefore, the underdog. The Chiefs took the minus sign and were, hence, the favorite. Since both numbers behind the plus and minus signs were close to , you could tell that both teams were a close match for each other. With odds like this, you could have expected a game full of fireworks. Once you understand the meaning of the signs that you see a lot across the sports betting landscape, it's time to dive into practical matters.

It should be clear that with the American odds, you can make way more bets than simply the moneyline bets. We want to show a few of the most popular examples and point out how to calculate your potential payout. The kind of bets you can start wagering on today are:. We slightly went into the moneyline bets already, but we want to provide a deeper understanding of this type of bet. To calculate your payout for a moneyline bet, you should know that the holy number is dollars.

Let's imagine Bill from Las Vegas wants to place a bet on this match. The odds are as follows:. In this example, the Los Angeles Lakers are the favorite, while the Warriors are the underdog. Straight bets are types of betting wagers on a single sporting event that carries a point spread, the final score of a game, moneyline, run line or puck line.

You might wonder, doesn't that cover basically all games? The difference here is that a bet is only straight up when it regards a single sporting event -- the bet should not cross multiple games. This term is very common across moneyline bets as they always regard a single game. The point spread bet is there to give bettors the possibility to bet on any kind of match, no matter the skill difference between the two teams. You bet on the difference in the number of points between the two teams.

The odds might look like this:. In this example, the negative number indicates the favorite, while the positive number indicates the underdog. Let's say you bet on the Spurs to cover the spread. For your bet to be successful, the 76ers need to win by at least 2 points.

If not, the gamblers who bet the point spread on the Spurs would win. The plus and minus sign are predictive of which team is more likely to win the game, straight-up. This shift in behavior could affect shopping habits. Instead of buying large-sized products, people want smaller items that could be enjoyed during the game and by the family in the days after. The survey noted a rise in the popularity of snack-sized variety packs, which can be enjoyed by multiple people who may have varying tastes.

Americans are also going to the store less often, but buying more things during each visit: Baskets are up about 20 percent over traditional grocery store trip purchases, Del Pozzo said. They no longer shop for groceries on Saturday or Sunday, instead opting for midweek trips. About 86 percent of people surveyed planned to buy some of their Super Bowl snacks in the week prior to the game.

However, one out of five people still intended to buy snacks within six hours of kick-off. Outside of shopping, the amount of snacks we want to eat has changed, Del Pozzo pointed out. Chips and dip have been the top Super Bowl snack for the third year in a row, but the demand for those items has peaked during the pandemic. Unflavored tortilla chip sales are up 18 percent since mid-March according to IRI Data, while dips are up 15 percent.

In addition, Frito-Lay noticed a trend towards what Del Pozzo called "meal prep," or people putting together recipes for snacks and accompaniments like dips rather than just eating it out straight out of the bag or bottle. Feb 5, Meanwhile, name brands we're used to seeing ads from during the big game will be notably absent, including Coke, Pepsi, and Budweiser.

Feb 3,

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