I love the reports from www.cbinsights.com, their research does more than scratch the surface and often offers myself a way to link up ideas with the state of the market. As it stands I have no partnership with them, I just consider them an awesome resource.
Warning, exponentially difficult business idea: Personally after reading the report I started dreaming of a personal cook robot with an AI that can adjust recipes based on my feedback on food and tailor it differently for my wife or my future children.
I just used this on CoinAi on my way to try and explore crypto currency auto trading and statistics.
Really useful tool as long as it works on your targeted repository.
I wouldn’t say this is great for learning, but an amazing resource for news in AI. The format of 2–4 minutes per video is enough for delivering the news wanted to make you curious about it, while keeping them close to the subject.
A few examples:
- An AI For Image Manipulation Detection In this one, I find it of great help that he goes into enough specialised detail to surface how the AI does the job and what constrains it has.
- AI-Based Large-Scale Texture Synthesis This example is a good one for how good they are at exposing the use case of the AI involved.
*If you know of other similar sources please do share, along with your opinion if you’d like.
Their subtitle looks like this: “Merging Big Data, Artificial Intelligence and Blockchain Technology to Bring Critical Information to the World” Which made me curious, but so far as I couldn’t find anything else to explain their use cases I find these as rather marketing stunts in order to attract attention to their IPO.
However a Data Marketplace alone is an amazing proposition, my worry looking through it is that I don’t understand the source. A data marketplace is any public blockchain, or maybe I need a better understanding to unclad my ignorance.
Forgive my ignorance if you already knew about this, but I find this collection of resources amazing to start with.
I have a knack for picking up old books, like Neural Networks and Pattern Recognition, might be old in terms of publishing (1997), but it would make for a good introduction to the methods of Pattern Recognition as theory.
Deep Learning Fundamentals in Python is an introduction to the basics of Neural Networks. Looks great for settling some fundamentals if you’re into reading. The introduction alone is enough for me.
Artificial Neural Networks Architecture Applications is amazing for the stage I am at as it exposes use cases like “Use of Artificial Neural Networks to Predict TheBusiness Success or Failure of Start-Up Firms” or “Robust Design of Artificial Neural NetworksMethodology in Neutron Spectrometry”. This type of book is something I can easily get behind and search for more similar through scribd’s features.
K-means clustering is a classification algorithm used to automatically divide a large group into smaller groups.
Real time news content published by over 30,000 news publishers worldwide.
This type of resource is a great start on fake news break down effort as well as a source for media publications.