What are /r/ArtificialInteligence's favorite Products & Services?

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Wow, thanks for sharing those! Ostagram has the best style transfer images I've ever seen, those are incredible results.

I don't know if you're looking specifically for style transfer websites (that's the name for when you provide two images and it generates a new image with the style of one and the content of the other), but a famous example for GAN results is thispersondoesnotexist

If you're really trying to get into ML/AI. Peter Norvig has an intro to AI course available on udacity. I haven't taken it, but I understand that it's at least somewhat accessible.

https://www.udacity.com/course/intro-to-artificial-intelligence--cs271

I took a data mining course while I was still in school that didn't cover deep learning networks. To supplement it, I took Andrew Ng's machine learning class on coursera. I'll tell you from experience that it's actually really accessable, and your don't really need much background to understand what he talks about. It does, however, only scratch the surface, but I don't know what else you can expect from a 10 week, online, intro course to the subject. Helps if you already are familiar with linear algebra and calculus, but that isn't a requirement. If you really struggle with that stuff during the course, there's always khan academy to help you with it, which is actually how I managed to even graduate.

https://www.coursera.org/learn/machine-learning

If you're looking for a non secretive high level one: https://www.etoro.com/copyportfolios/gainersqtr/stats here's an etoro copyfolio. It's doing meh.

Here's the link to the video. If you sign up for a trial account, which I believe gives you 30 days free, you should be able to watch it in its entirety.

https://www.safaribooksonline.com/library/view/oreilly-artificial-intelligence/9781491973912/video282397.html

First of all, Artificial Intelligence is a really broad set of strategies. Saying "should I use AI or machine learning" is kind of like saying "should I use my skills or my physical abilities". They're both really broad, AI more so than ML.

To answer your question, you might start by looking up blog posts about text classification. There are good tutorials that will show you how to read a product review and guess how many stars the person gave it, for example. Here's one to start you off, but there are lots.

You also might be interested in Mycroft. He's a chatbot platform kind of like Alexa but he has a little robot face that you could use.

Well, I don't know if it is done yet, but if not soon it will be.

Here is interesting book on a topic:

https://www.amazon.com/Artificial-Intelligence-HR-Successful-Workforce/dp/0749483814

If anybody isusing tool you mentioned, I think it may be Amazon. Of course.

I would highly recommend Coursera.

Look up Machine Learning Specialization by Andrew Ng. I've just finished it and it's perfect for beginners (me).

It's not math heavy at all really, but I have been studying Calculus, linear algebra and applied mathematics at uni for the past 3 years and it certainly helped. I know that probabilities and statistics is also helpful.

It does require a subscription though which costs me £40 per month, but they are high quality courses taught by experts, so I would say the value for money is worth it.

It recommends 10hrs/week to finish the full specialization in 3 months, but it can be done faster if more time is committed as they are self paced.

I would say though that 10hrs/week is optimistic if you like to take lots of notes and don't like to move on until each concept is fully understood.

There are quizzes, lab tasks, and lab assignments in which there are exercise where where you must complete certain parts of functions, such as a cost function or gradient descent algorithm.

There is also a helpful forum to ask as many questions as you like which I used on a few occasions.

Also away to get this book as it's supposed to be good.

https://www.amazon.co.uk/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=asc_df_1492032646/?tag=googshopuk-21&linkCode=df0&hvadid=375498709181&hvpos=&hvnetw=g&hvrand=13855415143965638771&hvpone=&hvptwo=...

Hope some of that was helpful, all the best on your ML journey.

I strongly recommend “Shall We Play a Game?” by Dan Klinedinst. I’m about halfway through it, and it’s quite relevant to this question.

Shall We Play A Game?: Analyzing Threats to Artificial Intelligence https://www.amazon.com/dp/B0B6TCLL5Q/ref=cm_sw_r_awdo_6QJ8PNTT9ZJWR5ECVBQ2

Why didn't you mention iFriend? I'd say it's better than some apps on the list, and I think that the model it's based on is pretty good, I like it way more than Replika, here's the link: https://play.google.com/store/apps/details?id=com.ifriend.app&hl=en&gl=US

I don’t think this is realistic. How advanced are your coding skills?

Read this book cover to cover.

Artificial Intelligence: A Modern... https://www.amazon.com/dp/1292401133

If you can’t, consider consider higher education.

Eric Schmidt recently published a book that addresses this topic, e.g. the ways artificial intelligence is shifting the foundations of human knowledge and posing questions of existential risk: The Age of AI: And Our Human Future. Sam Harris recently interviewed him on his Making Sense podcast, so maybe give that a listen first.

If like you say there's a global existential crisis, which is highly likely, people are already theorising that AI will create a hyper-realistic computer simulation for us to exist in (cognitively) so we can carry on our lives blissfully unaware of our redundance. Or, we're already in the simulation. https://thenextweb.com/artificial-intelligence/2019/04/16/mit-scientists-simulation-hypothesis-makes-compelling-case-for-the-matrix/

Hello,

This is the way to go. Do this free online course through Udacity.

https://www.udacity.com/course/intro-to-artificial-intelligence--cs271

And then dive deeper in the topics you liked the most.

Best of luck.

I'm agree with EdX, Udacity , Udemy (have some free material) and microsoft school for free

https://www.udacity.com/course/intro-to-artificial-intelligence--cs271

https://aischool.microsoft.com/en-us/home

Hope helps

Sounds fun, it's been done, but you can probably make it better. One way to start this is to download as many books from https://www.gutenberg.org, scan the text and create a histogram of the word frequently. This becomes your probability of the next word. The word "and" is probably used the most, your keyboard would have 40% change of get that suggestion right. This becomes your "training" data.
Your algorithm would suggest the word "and"but only if the previous word was also not "and". The do the same for 2 words, words etc.
Next add weights for context, suggest more words from science or pop culture depending on context.
People say the same things over, use previous texts/emails/fb/Twitter as suggestions. Use previous messages to predict future messages. Always text mum on Monday mornings?
Or in certain locations? Times, tempatures? Cycle of the moon.. etc. Perhaps a microphone listening to the context of a conversation.
See the movie "Her" for additional ideas.

For single face generation, I use https://thispersondoesnotexist.com For several versions of a single face for multiple uses, just search on “realistic 3d character model” in Google an you’ll have several sites to choose from.

Consider the analogy of artificial intelligence facial recognition applied for encryption purposes to a short wave or ham radio at large. Private networks “buying” secrecy can fund a public common data exchange board with civilian access to police data sources in light of evidentiary purposes of the federal or state court. I attended law school at FSU under the legendary untouchable Charles Dodge who is a prime professor in this subject in Florida. An automata approach to evidence collection staging legal and political theatre could save taxpayer money and streamline the quagmire the American courts have become. And automata by the way “is” automata. Check out this research publication on NASA knowledge management published by me as an FIU decision sciences artificial intelligence researcher.

https://www.semanticscholar.org/paper/An-Infrastructure-for-Managing-Knowledge-Using-Becerra-Fernandez-McCarthy/6a456215d21ccbd8d25ca66aa22e364493fdeb9f

I am currently working on my master thesis project, where we're exploring how VR can be utilized as a tool for learning in AI education. I have developed a VR application for the Oculus Quest, that gives an introduction to deep learning in an educational escape room environment.

Due to the coronavirus situation in Norway, the application cannot be user tested as intended. Therefore, I would be very grateful if you have time to watch the video and respond to this questionnaire (it should only take 10-15 minutes):

https://forms.office.com/Pages/ResponsePage.aspx?id=cgahCS-CZ0SluluzdZZ8BWFeAtQp0AZFtMLY8Z3zzgxUNlBVR0ZDNDlCU0tJU1NFU1VNRldVWDRSMS4u

Feel free to ask questions and discuss the project. If you want to try the application, I have added a link in the questionnaire where you can download it for Oculus Quest, Rift, or Rift S. In advance, thanks for helping me realize evaluation during these difficult times.

I am currently working on my master thesis project, where we're exploring how VR can be utilized as a tool for learning in AI education. I have developed a VR application for the Oculus Quest, that gives an introduction to deep learning in an educational escape room environment.

Due to the coronavirus situation in Norway, the application cannot be user tested as intended. Therefore, I would be very grateful if you have time to watch the video and respond to this questionnaire (it should only take 10-15 minutes):

https://forms.office.com/Pages/ResponsePage.aspx?id=cgahCS-CZ0SluluzdZZ8BWFeAtQp0AZFtMLY8Z3zzgxUNlBVR0ZDNDlCU0tJU1NFU1VNRldVWDRSMS4u

Feel free to ask questions and discuss the project. If you want to try the application, I have added a link in the questionnaire where you can download it for Oculus Quest, Rift, or Rift S. In advance, thanks for helping me realize evaluation during these difficult times.

take a look at https://www.openassistant.org and https://mycroft.ai

If you want to fast-track deploying mycroft, google for picroft, since running it on a raspberrypi is very popular in that community.

The BEST intro class I've taken on AI (and actually one of the best classes I've EVER taken in over 20+ years in technology) has been https://udemy.com/machinelearning Andrew Ng's class is fantastic and he does a great job but the math is definitely harder without some solid calculus under your belt.

What's great about the Machine Learning A-Z class is they walk you through the math formulas (if you have high school algebra you'll be good to go) then they walk you through how to implement PRACTICAL machine learning exercises step by step. (There's nothing that upsets me more than a teacher who generates a list of random numbers, then runs that through an ML model to predict a result.)

You may need a python class to be successful here before you start but you'd need one anyways. I like CodeWithMosh.com - he has a great python class and does a good job explaining coding concepts and best practices.

Not sure what your degree is in but you might want to look initially into chatbots. I'm LOVING Rasa which is an open source chatbot framework. It can give you some practical application and intuition without the maths.

Good luck!

I have over 30 AI books, here are the top two for beginners :

https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/

https://www.amazon.com/Deep-Learning-Python-Francois-Chollet/dp/1617294438/ - The second edition is in the works

Referral link free

lookup a book called "make your own neural network" by tariq rashid. I got the name slightly wrong the first time, the title is Make not Build. https://www.amazon.com/Make-Your-Own-Neural-Network/dp/1530826608

this is a good introduction

Another great option - more about the implications of ai but still a very interesting read!

Good Luck!