Internet

On the internet, the algorithms are all around you. You are watching this video because an algorithm brought it to you (among others) to click, which you did, and the algorithm took note. 

 

When you open the TweetBook, A the algorithm decides what you see. When you search through your photos, A the algorithm does the finding. Maybe even makes a little movie for you. When you buy something, 

 

A the algorithm sets the price and A the algorithm is at your bank watching transactions for fraud. The stock market is full of algorithms trading with algorithms. Given this, you might want to know how these little algorithmic bots shaping your world work, especially when they don’t. In Ye Olden Days, humans built algorithmic bots by giving them instructions the humans could explain.

 

 “If this, then that.” But many problems are just too big and hard for a human to write simple instructions for. There’s a gazillion financial transactions a second, which ones are fraudulent? 

 

There’s octillion videos on NetMeTube. Which eight should the user see as recommendations? Which shouldn’t be allowed on the site at all? For this airline seat, what is the maximum price this user will pay right now? 

 

Algorithmic bots give answers to these questions. Not perfect answers,but much better than a human could do. But how these bots work exactly,more and more, no one knows. Not even the humans who built them, or “built them”, as we will see… Now companies that use these botsdon’t want to talk about how they work because the bots are valuable employees. Very, VERY valuable. 

 

And how their brains are built is a fiercely guarded trade secret. Right now the cutting edge is most likely very ‘I hope you like linear algebra’, but what the current hotness is on any particular site and how the bots work, is a bit “I dunno”, and always will be. 

 

So let’s talk about one of the more quaint but understandable ways bots CAN be “built” without understanding how their brains work. Say you want a bot that can recognizewhat is in a picture. Is it a bee, or is it a three? It’s easy for humans (even little humans), but it’s impossible to just tell a bot in bot language how to do it, because really we just know that’s a bee and that’s a three. 

 

We can say in words what makes them different, but bots don’t understand words. And it’s the wiring in our brains that makes it happen anyway. While an individual neuron may be understood, and clusters of neurons’ general purpose vaguely grasped, the whole is beyond. Nonetheless, it works. 

 

So to get a bot that can do this sorting, you don’t build it yourself. You build a bot that builds bots,and a bot that teaches bots. These bots’ brains are simpler,something a smart human programmer can make. The builder bot builds bots, though it’s not very good at it. 

 

At first it connects the wires and modules in the bot brains almost at random. This leads to some very… “special” student bots sent to teacher bot to teach. Of course, teacher bot can’ttell a bee from a three either; if the human could build teacher bot to do that, well, then, problem solved. Instead the human gives teacher bot a bunch of “bee” photos, and “three” photos, and an answer key to which is what. Teacher bot can’t teach, but teacher bot can TEST. 

 

The adorkable student bots stick out their tongues, try very hard, but they are bad at what they do. Very, VERY, bad. And it’s not their fault, really, they were built that way. Grades in hand, the student bots take a march of shame back to builder bot. those that did best are put to one side, the others recycled. 

 

Builder bot still isn’t good at building bots, but now it takes those leftand makes copies with changes in new combinations. Back to school they go. Teacher bot teaches – er, tests again, and builder bot builds again. 

 

And again, and again. Now a builder that builds at random, and a teacher that doesn’t teach, just tests, and students who can’t learn, they just are what they are, in theory shouldn’t work, but in practice, it does. 

 

Partly because in every iteration, builder bot’s slaughterhouse keeps the best and discards the rest, and partly because teacher bot isn’t overseeing an old-timey, one-room schoolhouse with a dozen students, but an infinite warehouse with thousands of students. The test isn’t ten questions, but a million questions. And how many times does the test, build, test loop repeat? 

 

As many as necessary. At first students that survive are just lucky, but by combining enough lucky bots, and keeping only what works, and randomly messing around with new copies of that eventually a student bot emerges that isn’t lucky, that can perhaps barely tell bees from threes. 

 

As this bot is copied and changed,slowly the average test score rises, and thus the grade needed to survive the next round gets higher and higher. Keep this up and eventually from the infinite warehouse (slaughterhouse) a student bot will emerge, who can tell a bee from a three in a photo it’s never seen before pretty well. But how the student bot does this, neither the teacher bot nor the builder bot, nor the human overseer, can understand. Nor the student bot itself. 

 

After keeping so many useful random changes,the wiring in its head is incredibly complicated, and while an individual line of code may be understood, and clusters of code’s general purpose vaguely grasped, the whole is beyond, nonetheless, it works. 

 

But this is frustrating, especially as the student bot is very good at exactly only the kinds of questions it’s been taught to. It’s great with photos, but useless with videos or baffled if the photos are upside down, or things that are obviously not bees, it’s confident are. 

 

Since teacher bot can’t teach, all the human overseer can do is give it more questions, to make the test even longer, to include the kinds of questions the best bots get wrong. This is important to understand. It’s a reason why companies are obsessed with collecting data. More data equals longer tests equals better bots. 

 

So when you get the “Are you human?” test on a website, you are not only proving that you are human, (hopefully), but you are also helping to build the test to make bots that can read, or count, or tell lakes from mountains, or horses from humans. Seeing lots of questions about driving lately? 

 

Hmm…! What could that be building a test for? Now figuring out what’s in a photo, or on a sign, or filtering videos, requires humans to make correct enough tests. But there is another kind of test that makes itself. Tests ON the humans. For example, say entirely hypothetical NetMeTube wanted users to keep watching as long as possible? 

 

Well, how long a user stays on the site is easy to measure. So, teacher bot gives each student bot a bunch of NetMeTube users to oversee, the student bots watch what their user watches, looks at their files, and do their best to pick the videosthat keep the user on the site. 

 

The longer the average, the higher their test score. Build, test, repeat. A million cycles later, there’s a student bot who’s pretty good at keeping the users watching, at least compared to what a human could build. But when people ask:”How does the NetMeTube algorithm select videos?” Once again, there isn’t a great answer other than pointing to the bot, and the user data it had access to, and most vitally, how the human overseers direct teacher bot to score the test. 

 

That’s what the bot is trying to be good at to survive. But what the bot is thinking, or how it thinks it,is not really knowable. All that’s knowable is this student botgets to be the algorithm, because it’s point one percent better than the previous bot at the test the humans designed. 

 

So everywhere on the internet, behind the scenes,there are tests to increase user interaction, or set prices just right to maximize revenue, or pick the posts from all your friends you’ll like the most, or articles people will share the most, or whatever. If it’s testable, it’s teachable. Well, “teachable”, and a student bot will graduate from the warehouse to be the algorithm of its domain. At least, for a little while. 

 

We’re used to the idea that the tools we use, even if we don’t understand them, someone does, but with our machines that learn we are increasingly in a position where we use tools, or are used by tools, that no one, not even their creators, understand. 

 

We can only hope to guide them with the tests we make, and we need to get comfortable with that, as our algorithmic bot buddies are all around, and not going anywhere. OK. 

 

The bots are watching. You know what’s coming. This is where I need to ask you… To like… comment… …and subscribe. And bell me. And share on the TweetBook. The algorithm is watching. It won’t show people the video… unless you do this. Look what you’ve reduced me to, bots. What do you want? Do you want watch time? Is that what you want? Fine. (sigh…) Hey guys, did you know I also have podcasts you can listen to? 

 

Maybe even just in the background while you’re tidying up your all room for hours? Or whatever? There’s hours of audio entertainment for you, and watch time for the bots overseeing your actions. Go ahead and – and take a click.Entertain yourself. Help me. Help the bots.

Hi guys. 

 

Today we’re getting to see how you can upload your Website To the web. So for instance you’ve got built yourwebsite on your computer. 

 

And you’ve got these files. Now if you open this file. you’ll see that wehave our website. So now here you’ll see thatright now this Website is stored locally on a computer. 

 

Now if you would like to urge this website survive the web. 

 

You’ll do this by watching this video. So now all you would like to possess to follow this tutorial is your Website files. So once you’ve got your filesready we will all start. So we are getting to get thisWebsite online in only four steps. the primary step is tochoose your website name. 

 

Okay. So to chooseyour website name. Just click the linkbelow this video. and it will take you to the present page. Now choose any name you would like. then enter it here. 

 

So I’m getting to enter my websitename as shoespaw.com then clickcheck availability. So as you’ll see thisname is out there. So once you get the name you cango to subsequent step which is to urge your hosting and domain. So hosting may be a place where yourWebsites files are going to be stored 

 

And domain is yourwebsite’s name So to urge this name and hosting Just scroll downthis page. and click on get hosting. Now this may takeyou to GoDaddy.com. Where we’re getting to get the hostingand domain 

 

So to urge it. Let’s click start. Now entered an equivalent namewhich you chose before. and click on search. Then click select and continue. And now it’ll takeyou to the present cart page. Now to urge thedomain and hosting. we’d like to make a replacement account. So let’s click here then refill these details. and click on create account. 

 

Now here you’ll see that weare getting our domain Which is shoespaw.comand our hosting. Now both of those are goingto be valid for one year. So this meansonce you place this order Your website are going to be survive the web for subsequent one year. 

 

Now let’s go aheadand make the payment. Just choose yourpayment method Enter your details. then click save then complete the acquisition. Okay so now we havesuccessfully made our payment and that we have gotten ourdomain and hosting. So once you’ve yourhosting and domain you’ll attend subsequent step Which is toset up your hosting account.

 

 So once you found out your hosting account you will be ready to upload Your Website files. So to line up yourhosting account. Just click here. and click on setup. Now click next then again next. Now skip this stepby clicking not now. then click finish. So now we’ve set upour hosting account. So let’s click attend dashboard. So once you set upyour hosting account. 

 

You’ll reach thispage called The C panel. So this is often an area where you cancontrol your hosting account. So once you reach this page. you’ll now attend step four. Which is to upload your websitefiles to the present hosting account. So once you uploadthe website files. Your website will belive on the web. 

 

So to upload uploaded files. Just open nextto file manager. then click thepublic html folder. Now this is often the place where weare getting to upload our website files. Now we’ve a fewsample files here. Now before we upload our files. Let’s delete this sample files So to delete it. allow us to first click select all. then click delete. 

 

Now click confirm. and every one the fileswill be deleted. So once you deleted these files you’ll now upload Your website files. So to upload our files Let’s open the folderwhich has our html files. So these are the web site fileswhich i’m getting to upload. 

 

Now before uploadingyou website files. confirm your homepage is known as as index.html So once you’ve got these files ready rather than uploading them one by one we are getting to compressthem into one file. So to compress it Lets select all the files then right click. And attend send to. and click on compressed file. And now you willget this zip file. which can have allyour website files. 

 

Now to upload this zip file Let’s return to our hosting page then clickupload here. Now just drag this zip file from your computer then drop it here. The file are going to be uploadedto your hosting account. 

 

And once this is often done If you click return. you’ll see that we now have our zip file Now to finish the upload. we’d like to extract all of ourwebsite files from this zip file. So to extract the files Just select the zip file. then click extract Now click extract files. 

 

And now if we click close. you’ll see that each one of ourwebsite files are now extracted. Now as soon as youextract the zip file Your website should now be survive the web. 

 

So to see thatlets open a replacement tab. So now if we entershoespaw.com And press enter. you’ll see that ourWebsite is live. So this is often how we will easily uploadyour website to the web. Now if you able to upload your website Just click here 

 

And it’ll take you to the pagewhich we saw within the initiative. Which is choosingyour website name. So just choose your website name and then upload your website. .

Hi everyone welcome to another article.

 

 In this article we’ll shed light on the data science career opportunities in India more specifically.

 

 We’ll talk about how you can become a data scientist in India we’ll take a look at the latest research to help you assess your chances of landing a data scientist job then we’ll focus on the education and qualifications you need to become a data scientist eligible for the job at any company to top things off will point you in the right direction in terms of where to look for data scientists job openings in India and we’ll share some extra tips that will help you stand out from the crowd 

 

All right back to the data scientist job and its outlook in India what do the numbers saya recent report by the Hindu states that there are an estimated 97 thousand data analytics job openings.

 

In India Bengaluru accounts for 24% of these job openings while Delhi NCR Ford 22% since the data science field is progressing at an extremely fast rate the huge demand for data science talent

especially in the technology IT and industrial domain can hardly catch up with the supply of skilled data scientists..

 

That’s why it doesn’t come asa surprise that a significant part of the data scientists in India more than 40% have received a data scientist job title within the last 24 months so becoming a data scientist in India seems like a truly golden opportunity let’s see what that means in terms of salaries according to upgrade comm data scientist is the highest paying job in India to be more precise the average data scientist salary listed on Glassdoor is above 1 million rupees per year and it could go up to 2 million rupees for more experienced candidates of course corporations based in large cities like Mumbai and Bangalore offer higher salaries.

 

But keep in mind that this may soon change many international companies prefer to open an office in Hyderabad as it’s much more affordable.

 

No wonder giants like Facebook Microsoft Google Amazon and PNG already call Hyderabad their home and that translates into even more career opportunities for data scientists in India now that you know for sure that data scientist is arising career in India it’s time to see what it takes to become one.

 

Well the education and skills required for data scientists are to a large extent universal no matter which country you live in , however to paint the most accurate picture possible we decided to dig deep into the numbers and guess what we discovered some pretty interesting details about the typical data scientist in India so what education do you need to become a data scientist ?

 

 In India according to our research 50% of data scientists in India have a master’s degree 34% a bachelor’s degreeand a small 6% hold a PhD now regarding academic background a degree in computer studies economics finance Business Studies statistics and mathematics is certainly considered an advantage however more and more employers are willing to waive such requirements in favour of relevant skills and real-world experience the typical data scientist.

 

In India who also speaks 2-3 languages has taken at least one online course and has posted four certificates on average onLinkedIn this goes to prove the increasing importance of online data science trainings not only when it comes to learning the fundamentals.

 

But also for acquiring the latest in-demand skills what else79 percent of data scientists in India are male this shouldn’t discourage you ladies as a recent data indicate that women are becoming a competitive force in the data science field our research also shows that data scientists in Indiagenerally have seven or more years of working experience.

 

However there are plenty of data science job opportunities for skillful beginners in the field and you can find out more about these in the super detailed and comprehensive 365 data science career guide the links in the description that said what are the skills you should have as a data scientist in India the must-have skill set for data scientists include sproficiency in excel good practical knowledge of statistics and mathematics confidence in working with visualization tools like power bi and tableau and of course experienced in scripting languages such as SQL Python and arespeaking of languages data scientists in India use more programming languages as compared to other countries such as Python our SAS and others.

 

And while Python holds the lead in popularity in the US and Europe in India it shares the winners place with our but how do you acquire all of these.

 

If you’re starting from scratch well luckily today there are many options, To learn  data science for example you can start a qualification program or study with private tutors however if going back to schools not on your agenda an online certificate program can be the best way to begin your professional journey and that brings us to the million dollar question where to look for a data scientist job in India the reality is it’s hard to do data science for Indian companies since few of them are sophisticated enough and have sufficient data for thorough analysis so of course the most obvious choice for an aspiring data scientist in India would be the large US and globally recognized companies in the sector outsourcing or operating in India here’s a short list of the biggest players and the locations.

 

They’re hiring at Amazonand Oracle have job openings in Bangalore and Hyderabad wall art and IBMand Bangalore and P&G are hiring in their office in Hyderabad now as promised before we say goodbye here are a few tips that will help you stay ahead of the competition if you are a college student or fresher tryget a data science internship even if it’s unpaid your goal should be to get industry experience that you will later apply in your permanent data science job create a good github repository and upload your own data science related projects and work there also put your github link in yourLinkedIn profile it is a good way to showcase your work to prospective employers participate in online data science competitions this will help you validate your learning and also get some noticed by employers if it is a sponsored competition attend local data science meetups that are taking place regularly in big cities like Bangalore poun Delhi and CR and try to network with the people this can truly help you create more opportunities for yourself

 

Alright we hope we were able to give you some good insights into how to become a data scientist in India in the meantime if you enjoyed this article don’t forget to hit the share  button and share it with your friends and subscribe to our Blog thanks for watching and best of luck in your data science career…

Artificial Intelligence

 

Every day, an oversized portion of the population is at the mercy of a rising technology, nevertheless few truly perceive what it’s. AI. 

 

You know, HAL 9000 and Marvin the Paranoid Android? because of books and flicks, every generation has shaped its own fantasy of a world dominated — or at hired served — by robots. 

 

We’ve been conditioned to expect flying cars that steer further from traffic and robotic maids whipping up our weekday dinner. however if the age of AI is here, why do not our lives look a lot of just like the Jetson’s? 

 

Well, for starters, that is a cartoon. And really, if you have ever browsed Netflix moving picture suggestions or told Alexa to order a dish, you are most likely interacting with AI quite you understand. and that is quite the purpose.

 

AI is intended thus you do not understand there is a pc vocation the shots. however that additionally makes understanding what AI is, and what it is not, a bit sophisticated. 

 

In basic terms, AI could be a broad space of applied science that creates machines look like they need human intelligence. 

 

Thus it is not solely programming a pc to drive an automotive by obeying traffic signals, however it’s once that program additionally learns to exhibit signs of human-like force. 

 

As discouraging because it could seem, this technology is not new. Actually, for the past half-a-century, it has been a thought prior to its time. The term “artificial intelligence” was 1st coined back in 1956 by Dartmouth faculty member John McCarthy. 

 

He is known as along a bunch of pc scientists and mathematicians to check if machines might learn sort of a young kid will, victimisation trial and error to develop formal reasoning. 

 

The project proposal says they will fathom the way to build machines “use language, type abstractions and ideas, solve sorts of issues currently reserved for humans, and improve themselves.” That was quite sixty years ago. Since then, AI has remained for the foremost half in university lecture rooms and super secret labs … however that is ever-changing. 

 

Like all exponential curves, it’s laborious to inform once a line that is slowly ticking upwards goes to skyrocket. however throughout the past few years, one or two of things have semiconductor diode to AI turning into consequent “big” thing: 1st, immense amounts of knowledge square measure being created each minute. In fact, ninetieth of the world’s knowledge has been generated within the past 2 years. 

 

And currently because of advances in process speeds, computers will truly be of all this data a lot of quickly. due to this, technical school giants and venture capitalists have bought into AI and square measure infusing the market with money and new applications. 

 

Very soon, AI can become a bit less artificial, and heaps a lot of intelligent. currently the question is: must you brace yourself for yet one more eradicator moving picture, survive your town streets? Not specifically. 

 

In fact, stop thinking of robots. once it involves AI, a automaton is nothing quite the shell concealing what is truly accustomed power the technology. which means AI will surface in many alternative ways in which. 

 

Let’s break down the choices. First, you have got your bots. they are text-based and implausibly powerful, however they need limitations. raise a weather larva for the forecast, and it’ll tell you it’s part cloudy with a high of fifty seven. 

 

However raise that very same larva what time it’s in Edo, and it will get a bit confused. that is as a result of the bot’s creator solely programmed it to offer you the weather by pull from a selected knowledge supply. 

 

Tongue process makes these bots a small amount a lot of subtle. once you raise Siri or Cortana wherever the nighest filling station is, it’s extremely simply translating your voice into text, feeding it to a groundwork engine, and reading the solution back in human syntax. thus in different words, you do not need to speak in code. 

 

At the so much finish of the spectrum is machine learning, and honestly, it’s one in every of the foremost exciting areas of AI. sort of a human, a machine retains data and becomes smarter over time. however not like a personality’s, it is not vulnerable to things like remembering loss, data overload, sleep deprivation, and distractions. 

 

However however do these machines truly learn? Well, whereas it should be straightforward for a personality’s to understand the distinction between a cat and a dog, for a pc, not such a lot. You see, once you are solely considering physical look, the distinction between cats and dogs will be a bit grey. 

 

You’ll say cats have pointed ears and dogs have floppy ears, however those rules are not universal. Between tail length, fur texture, and color, there square measure heaps of choices, which means that heaps of tedious rules somebody would need to program manually to assist a pc spot the distinction. 

 

However bear in mind — machine learning is concerning creating machines learn like humans. And like several child, which means they need to find out by expertise. With machine learning, programs Associate in Nursingalyze thousands of examples to make an algorithmic program. It then tweaks the algorithmic program supported if it achieves its goal. 

 

Over time, the program truly gets smarter. that is however machines like IBM’s Watson will diagnose cancer, compose classical symphonies, or crush Ken Jennings at danger. Some programs even mimic the means the human brain is structured, complete with neural networks that facilitate humans — and currently machines — solve issues. Generations have long imaginary the ramifications of AI, visualizing a society wherever machines get revenge and make mayhem on human society. 

 

However, the a lot of logical and pressing question is: however can AI have an effect on your job? can it build your work obsolete? rather like the commercial Revolution, it is not human versus machine. 

 

It’s human and machine versus drawback. the purpose is that AI helps you accomplish a lot of in less time, absorbing the repetitive tasks of your job whereas you master the strategy and relationships. That way, humans will do what they are doing best … be human.