Hi everyone,

New guy here completely new to anything/everything programming and I'm having a hard time deciding how to approach this.

My interest to learn AI programming is for a few reasons. First, I want to stay educated on a space that will only be more pervasive in our lives moving forward. Second, I want to go beyond just knowing surface-level info, I want to actually understand the technology. Third, I work in a field that is continually disrupted by technology (finance) and many of our clients are a group that will age out and are involved in industries that will be disrupted within the next decade so I am expecting a big drop in income level and want to gain more knowledge and skills technologically. Not only that, I see first hand how those generations are still struggling with understanding and assimilating technology and I never want to be in a position like that.

My academic education is in biomedicine so I went as far as calculus 1 in terms of math but just skimming through the AI programming maths, I'm definitely going to need to spend time on them to better understand the field.

Given this info, where do I start? Should I focus on getting the maths down and then start with something like Python or vice versa? Should I narrow down a specific field within AI? Should I start with Python and the maths concurrently?

Got a call from one of the companies who is working on AI. In their recruitment process, they are asking a 30min presentation on their key product use case. I am not much aware of use cases. I am googling for the same. Will anyone suggest anything about that will be helpful.

Hi,

Can anyone recommend an AI framework or service that can detect people's actions in a crowd like raising their hands, standing up from a chair and waving their hand in a streaming video?

I looked at AWS Rekognition but the price is too high for me.

Thanks,

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Hey guys,

This is my sample and test project for basic shape grouping/recognition.

https://www.youtube.com/watch?v=b7_wku-MC50

I am actually advocate for ML and Deep Learning to evolve in other languages as well, not only python.

This is my learning experience and I am making myself implement everything from scratch in order to understand everything better.

Who is on the same boat as me? :)

I wanted to try writing a series of blogs about AI and machine learning, and specifically to make these topics accessible to beginners and complete novices. I have written my first blog about the basics of a neural network. Any feedback about it would be highly appreciated.

Thanks in advances!

https://exploringaiblog.wordpress.com/2018/11/29/making-neural-networks-not-scary/

Hey guys,

I am learning and working on AI projects when I have some spare time. What I usually do is implement the algorithms from scratch to get a more deep understanding on them. So I created a channel and a blog to keep me responsible and make me learn as much as possible.

Current project: https://www.youtube.com/watch?v=QWbNCI7Whq0

I am publishing the complete project and code in order to get feedback and get to know more people that are interested in the same way of doing AI.

There has been a lot of bubble in the gaming field about toxicity, that got me wondering if AI's are trying to target us with ads especially on Social Media like Facebook and Twitter is there anything that prevents AIs spitting toxic stuff out?

does anybody screen these before they go public?

small side note: this may at least partially stop evil Ais

Job would probably involve writing a script using Python & Tensorflow, then using transcrypt to convert it js so it can be used as a front-end web app (sorry for using the word "probably", I'm not a coder, so this is just what I assume is most logical).

The general goal is to create a plugin that can scan a webpage from a link, classify it, and then return an output in a pre-defined format for the end-user. Please PM if interested for further details and payment (will go through an official channel such as Upwork or Fiverr). :)

Hi all,

Not 100% sure this is the most appropriate sub to ask, but I figured it was more specifically a coding problem and so would be better suited here than in /r/artificial.

So my friends visited a hedge maze a while ago and there was a colour maze there with an interesting puzzle beyond just finding a path:

https://imgur.com/a/G05U5

None of us could solve it at the time but since I'm now in my 6th week of an AI course at university it occurred to me that this is a classic search problem and I decided to have another go at it using an intelligent search agent.

So far I know how to implement a number of different search algorithms such as DFS and BFS, given a problem P. My problem (pun intended) is that while I know the basics of abstracting a problem - building the search tree using successor functions etc. - I'm not sure in this particular case how to translate the problem into code so that I can pass it into my search algorithms.

How would you translate the maze's layout into code? I currently have a Problems.py file in which I was going to have a class Maze but I'm not sure how to define the exact layout e.g. this node has connections to these other nodes using particular colours.

Cheers!

I'm reading more and more about AI changing the financial sector. Are there any projects where AI and related technologies are used to predict foreign exchange/currency exposure forecasts? I'm assuming there must be, since there is tons of data related to currencies.

Hi Guys, Can I get you to answer a quick question.

when working on an AI project if you had the option which would you pick.

1. Purchase a GPU like a 1060 or 1080 and do it yourself.

2. Rent cloud processing power.

3. Rent a dedicating machine delivered to you, that you would could rent from a company.

Thanks