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Search - "machine intelligence"
No it's not AI. YOU ARE RUNNING FUCKING SQL QUERIES AND CALLING IT AI!
No it's not AI. YOU ARE RUNNING SIMPLE DATA ANALYSIS MACROS AND FUNCTIONS IN EXCEL!
Stop labelling everything as AI, you attention and investment seeking morons! @&£$¢×xo##!29
That moment when a friend was talking to you about an artificial intelligence he is building that is supposed to be a voice assistence and "even better" than Cortana. After a long time I asked him for the code like I wanted to check out the revolutionary techniques of machine learning he was talking about. So here is a short part of the 600 lines long "voice logic".
I almost started crying 😂😂16
Today I downloaded SpyKids (2002) movie to refreshen childhood memories.
Saw that scientists were using welding machine and chemicals to make artificial intelligence.6
more buzzword translations with a story (because the last one was pretty well liked):
"machine learning" -> an actual, smart thing, but you generally don't need any knowledge to use it as they're all libraries now
"a bitcoin" -> literally just a fucking number that everyone has
"powerful" -> it's umm… almost working (seriously i hate this word, it really has a meaning of null)
"hacking" -> watching a friend type in their facebook password with a black hoodie on, of course (courtesy of @GeaRSiX)
"cloud-based service" -> we have an extra commodore 64 and you can use it over the internet for an ever-increasing monthly fee
"analysis" -> two options: "it's not working" or "its close enough"
"stress-free workplace" -> working from home without pants
now for a short story:
a few days ago in code.org "apscp" class, we learnt about how to do "top down design" (of course, whatever works before for you was not in option in solving problems). we had to design a game, as the first "step" of "top down design," we had to identify three things we needed to do to make a game.
graphics is literally a png, but what the fuck do you expect for ai?
we have a game right? oh wait! its getting boring. let's just sprinkle some fucking artificial intelligence on it like i put salt on french fries.
this is complete bullshit.
also, one of my most hated commercials:
"iot data and ai from the cloud"
yeah please shut the fuck up
I dont trust people who have LinkedIn tagline with any of these combinations.
Confuzzled if I should go the low level way and learn more about software architecture and foundation or go the artificial intelligence machine learning way because I want to get out of this infinite loop of only developing apps!4
Everybody talking about Machine Learning like everybody talked about Cloud Computing and Big Data in 2013.4
A company gave a placement talk in college today.
First, they talked about their company's facts and figures, which no one was interested in.
Second, they talked about Amazon and Jeff's vision, AirBnB and their revolutionary idea, more than their own company and products.
Third, they showed some testimonial videos of their employees and customers.
"What the fuck is going on?" I thought. We were there to get information about a placement test.
Buzzwords started coming in. Machine Learning, Artificial Intelligence, Big Data and what not.
Last 15 minutes, a guy came. He talked about test date, test format and test topics, finally.
An hour and half wasted for 15 minutes of information.
Fuck placement talks.35
Dank Learning, Generating Memes with Deep Learning !!
Now even machine can crack jokes better than Me 😣
Le college freshman nibbas: Don't know C, Java, C++, python or any other programming language but want to do AI and machine learning!
If you don't know how to explain about your software, but you want to be featured in Forbes (or other shitty sites) as quickly as possible, copy this:
I am proud that this software used high-tech technology and algorithms such as blockchain, AI (artificial intelligence), ANN (Artificial Neural Network), ML (machine learning), GAN (Generative Adversarial Network), CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), DNN (Deep Neural Network), TA (text analysis), Adversarial Training, Sentiment Analysis, Entity Analysis, Syntatic Analysis, Entity Sentiment Analysis, Factor Analysis, SSML (Speech Synthesis Markup Language), SMT (Statistical Machine Translation), RBMT (Rule Based Machine Translation), Knowledge Discovery System, Decision Support System, Computational Intelligence, Fuzzy Logic, GA (Genetic Algorithm), EA (Evolutinary Algorithm), and CNTK (Computational Network Toolkit).
🤣 🤣 🤣 🤣 🤣3
I created a curriculum to homeschool myself way up for a MSc in AI/ML/Data Engineer for Application in Health, Automobiles, Robotics and Business Intelligence. If you are interested in joining me on this 1.5yrs trip, let me knw so I can invite you to the slack channel. University education is expensive..can't afford that now. So this would help but no certificate included.17
Came across the moral machine..
Some of the dilemmas would even confuse a human, I wonder how would an artificial general intelligence perform in such scenarios14
I'm new here. [OK. Let's skip this]
I want to know where to begin on my journey on learning how to create a program that predicts what a user will say next by storing already said things and by making specific characteristics for the users.
I know that I will need to train it with some data first lol.
But how will it do the prediction. I just need this part of understanding.
I'm sorry for my bad English btw.7
There is a fucking difference between:
- artificial INTELLIGENCE....
Learning from experience is NOT THE SAME as being able to make conclusions out of unknown conditions and figuring out new stuff without any input.8
Please spare a minute to check out my first Android app:
AI Sight - Object Recognition on your smartphone!
Which is the most promising sector of Artificial Intelligence in future(2025) ?
I am currently studying about 'Machine learning'.16
Short question: what makes python the divine language for ML and AI. I mean i picked up the syntax what can it do that c++ or java cant? I just dont get it.19
You knoe, my first insights into computer programming came out of spite. I thought windows to be garbage and wanted to blame someone other than myself for my machine constantly crashing. Thus I discovered programming and down the rabbit hole. But my interest in computer science came from videogames. Portal in particular. I found the idea of GlaDOS fascinating and thought that artificial intelligence would be something interesting to research. The web then gave me Lisp, and boy was the language different from all the other languages I went through. I remember feeling super excited when Racket, Common Lisp and eventually Clojure would help me discover many different ideas. Every time I work with reduce or maps or stuff like that in other languages I always thank languages such as Clojure for having me descipher different ways of manipulating data to get a result. To this day I feel sad whenever I find that my languages do not have the same constructs that Clojure has. I mention Clojure because it is my favorite flavor of Lisp. But one thing that always remains grest to me is firing up Emacs and plugin my code to Slime or Cider and see the repl pop up waiting for something to happen. This feeling is beautiful.
Please guys, if you have not tried it, do so! You might hate it at first or push it aside. But trust me, once you get it it will really change the way you think about programming in general. Try the great Clojure for the Brave and true, and go through the third chapter succesfully. If you do not like Lisp by them then no harm done! You would at least know that there are other options.
Now, here are some cool things:
For the standard implementation, try Common Lisp
For a more modern Scheme, try Racket or Guile
For targetting the JVM try Clojure (more akin to Common Lisp) or Kawa (scheme like)
For the python AST get Hy (pun totally intended)
For JS try Clojurescript
For emacs scripting try Emacs Lisp (has way too many disasdvantages but still relatively close to common lisp)
Honorific mention to more pure functional programming languages for Haskell, F#, Ocaml.
Also worth mentioning that Js , Ruby and Python have great functional constructs.
(println "you will not regret it!")2
I wonder a time will come when we as software developers will be on streets protesting to the government to ban use of Artificial Intelligence for writing software.
We are digging our own grave.
Full Story - https://thenextweb.com/artificial-i...
Bootcamps get you up and running in coding quickly. If you are a programmer, companies are only interested on how quickly, error free and cheaply you produce marketable output. Bootcamps enable this.
More or less you are not more than a former assembly line worker putting parts on a car platform. Your value is not very high as you may be exchanged at any time at their will.
Nevertheless, you can earn money quickly. You trade in your youth and time which might be a dead end in the long-term. Trends go to machine learning, artificial intelligence. They will not need Bootcamp people and code workers.
It is better you set up Bootcamps and sell them versus absolving this. Like selling shovels during the gold rush, but not working in the mud of Alaska by yourself.
Your choice is: Making quick money, which fades anyway; or striving for the long-term future proof career.
C/S degrees from Technical Universities of reputation give to you the right direction under a strategic consideration. Companies which pay well, or freelancing with a solid acknowledged background, will always look for top graduates. People from Bootcamps are just OK for hammering assembly line coding. Even worse with SCRUM in one noisy room under enormous team server pressure controls, counting your lines of code per minute, with pale people all around. And groups of controllers never acknowledging nor trusting your work.
To acquire a serious degree, a Bachelor is nothing. Here, in INDIA, Bachelor now is what a former high school grade was. You must carry a diploma or Masters degree combined with internships at big companies with high brand recognition. This will require 4–6 years of your lifetime. You can support this financially by working part-time freelancing as making some projects front- or back-end web, data analysis and else.
Bootcamp people will lose in the long-term. They are the modern cannon fudder of software production.
It is your choice. Personally, I would never do Bootcamps. Quality and sustainability require time, deep studies and devotion.
I was once working on a deep neural network project(few years back when deep learning was just gaining momentum) and my project guide(alloted by the college) told me that this technology is useless and will be obsolete in near future. I don't know why he said that. Till this day I think what was the reason behind him saying that.
Now watching so much research done in this field, he might be realizing how much wrong he was.
Why is everyone into big data? I like mostly all kind of technology (programming, Linux, security...) But I can't get myself to like big data /ML /AI. I get that it's usefulness is abundant, but how is it fascinating?8
I'm really just a bunch of if/else loops that somehow do something interesting. It's just that it can't really be understood as the programs that make up "me" are being created and destroyed constantly, according to their ability to accurately represent a sentient being, without all having to be created by a genius developer by hand..
Learning to tech to speed up learning.
Using a new cooperative learning technique, AI Lab researchers cut by half the time it took a pair of robot agents to learn to maneuver to opposite sides of a virtual room.
A combination of deep learning and reinforcement learning algorithms are responsible for computers achieving dominance at challenging board games like chess and Go, a growing number of video games, including Ms. Pac-Man, and some card games, including poker. But for all the progress, computers still get stuck the closer a game resembles real life, with hidden information, multiple players, continuous play, and a mix of short and long-term rewards that make computing the optimal move hopelessly complex.
Image: Dong-ki Kim1
Did you miss this? Let me know if you're in. We are starting soon. https://www.devrant.io/rants/2733781
So...I kinda started a huge project and it requires a pattern recognition for the users' schedules as the cherry on top.
I have no idea from where could I start learning this. I tried lots of stuff, I have basic knowledge of ai, but I need to get to the next level.
What's the difference between data science, machine learning, and artificial intelligence?
Is there a place to find standard models open-sourced by Academia and Companies ?
Any GitHub repository?5
#PytorchUdacityScholar Well this time I won't give up... #Second Scholarship from Udacity #MillionThanks🙏🙏🙏🙏 to Udacity India Facebook #artificialintelligence #machinelearning #deeplearning3
There will come a day when a Tesla car will be so intelligent that it will short the Tesla stock right before crushing into a truck.3
I'm new in Artificial intelligence and Machine Learning and I want to design an intelligent bot what steps I have to use. For example intelligent os in her movie... 😊 😊 😊
Skip to last block for actual question, everything else is about what i see and dont understand.
Machine learning and artificial intelligence is very interesting to me, ive watched a few videos but i cant manage to wrap my mind around it.
I see a few people starting out with projects that appear to be an easy start, but i of course have no idea, were they make a self-driving car in GTA (crashes alot, but still) or teach the program to complete levels in a game (snake, mario, run forrest)
I watched a few videos on Jabrils youtube channel that seemed to make alot of sense, until one point..
How does the AI know when it hit a wall?
How does it know where the walls are?
How does it measure the distance? How does it know when it has respawned?
I find it really, really confusing.
Can anyone of you geniuses suggest me anything to get into this? Id prefer if the goal was to make an AI using machine learning, that can complete some basic game, like in Jabrils videos.2
Decided to continue my studies because I really wanted to go into Artificial Intelligence. Even though I've learnt some here and there in Machine Learning, Deep Learning and its various modules of supervised and unsupervised learning but I felt like that I'm not getting anywhere and need some proper guidance. Decided I could take a Masters in this specific field with a lecturer's guidance.
Enter my boss, I've asked for consent if its OK for me to continue my studies. He goes on and on that employees are valuable and that we're at the start of a big project currently (even though I've asked that I'm thinking of taking the next intake in September 2019) and couldn't afford to lose my time to studying A.I. Not only that, he insulted that A.I. is useless in a Fintech company. And instead he wants me to learn about blockchain tech.
Who is the choosing beggar here?
I mean OK, I get it. I've seen mature students who took on part-time studies to get diplomas and degrees and I understand the huge stress in assignments and research. I'm well aware of that and I've done self-paced studies for a long time now. I believe I can handle the pressure and time management in juggling between work, study and life through past experience and observation. How is this any different aside from doing towards a degree?
He even felt threaten that I might leave and get a better and different job after I graduate. Does he think I'm stupid to tell him about my intention if I knew that I'll be getting a better paying with more perks job than what I already have with him? I didn't want to leave my good job as there's loads of things I want to do for the company. But since his attitude towards my education pursuit shows, I think I just might. I don't know. I like the company I'm working for. Just not for him.3
Is Python programming language used in AI and Machine Learning?
I have a query in regards to as we know python use in data science but is python also used in artificial intelligence and machine learning. I also want to know which technology using a python programming language.
Any suggestions would be appreciated!!2
I came across this logical bug today and realised that you never train your Neural Network with data that is in order. Always train it with randomized inputs. I spent like 4 hours trying to figure why my neural net wouldn't work since all I was classifying was Iris data.
P.S.: I'm an ML newbie :P
You know how the machine learning systems are in the news (and Ted talks, tech blogs, etc.) lately over how they're becoming blackbox logic machines, creating feedback loops that amply things like racism on YouTube, for example. Well, what might the ML/AI systems be doing with our code repositories? Maybe not so much yet, I don't know. But let's imagine. Do you think it's probably less worrisome? At first I didn't see as much harm potential, there's not really racist code, terrorist code, or code that makes people violence prone (okay, not entirely true...), but if you imagine the possibility that someone might use code repositories to create applications that modify code, or is capable of making new programs, or just finding and squishing bugs in code algorithmically, well then you have a system that could arguably start to get a little out of control! What if in squashing code bugs it decides the most prevalent bugs are from code that takes user input (just one of potentially infinite examples). Remember though, it's a blackbox of sorts and this is just one of possibly millions of code patterns it's finding troublesome, and most importantly it's happening slowly (at first). Just like how these ML forces are changing Google and YouTube algorithms so slowly that many don't notice the changes; this would presumably be similar and so it may not be as obvious as one would think. So anyways, 'it' starts refactoring code that takes user input into something 'safer'. Great! But what does this mean? Not for this specific example really, but this concept of blackbox ML/AI solutions to problems we didn't realize we had, what does a future with this stuff look like (Matrix jokes aside)? Well, I could go on all day with imaginative ideas... But talking to myself isn't so productive, let's start a fun community discussion here! Join in if you find this topic as interesting as I do! :)
Note: if you decide to post something like "SNN have made this problem...", or other technical jargan please explain it as clearly as possible. As the great Richard Feynman once said, the best way to show you understand a thing is to be able to explain it clearly to others who don't understand it... Or something like that ;)3
Is learning artificial intelligence, deep learning, machine learning the only way to survive in this industry for the next decade or so?1
Wonder why people mistake knowledge for intelligence!
You can store info on a machine or worse a paper! You cant expect intelligence of a human from a computer :/
What is the best searching algorithm for big data technologies like Machine learning and Neural networks?