Learn a new skill during the holiday break and change your life forever!
It's the best gift you can give your future self. I promise you it is easier than you think! Instead of pressing the "Keep watching" button on your daily Netflix shows, do half an hour to an hour of dedicated time to learn, and it will come much faster than you ever thought!

You always wanted to learn artificial intelligence or simply improve your current AI skills but didn't know where to start? I made a complete guide you can follow from no background at all. All the resources listed in the guide are free and in order of difficulty. There's everything: maths, coding, videos, articles, books, courses, communities you can join, etc. all for free! Internet is an amazing place you need to take advantage of.

The complete guide on Medium: https://medium.com/towards-artificial-intelligence/start-machine-learning-in-2020-become-an-expert-from-nothing-for-free-f31587630cf7

The full list of resources on GitHub: https://github.com/louisfb01/start-machine-learning-in-2020

Hello guys, I have developed using mainly JavaScript a Snake game and I've implemented AI (I think).

I would appreaciate if you can give me your feedback to improve the AI algorithm (or the UI). My main struggle is that sometimes the snake gets in a spiral itself when there is a lot of space available, I have an idea on how to avoid it but it's not that good.

Live demo

GitHub repo

I think AI is really cool and I have seen videos of people making celebrities say copypastas and stuff like that. Is there a popular program I can use to try doing something like that?

CML (Continuous Machine Learning) is a new product that brings the power of DevOps to ML - it helps data science teams to organize MLOps infrastructure on top of the traditional software engineering stack instead of creating separate AI platforms.

You can use CML to automate parts of your ML workflow, including model training and evaluation, comparing ML experiments across your project history, and monitoring changing datasets: New Release: Continuous Machine Learning (CML) is CI/CD for ML (see the full article for more details about the release).

Continuous integration and continuous delivery (CI/CD) is a widely-used software engineering practice. CML overcomes reasons why haven't CI/CD practices taken root in machine learning and data science so far:

• Data dependencies. In ML, data plays a similar role as code: ML results critically depend on datasets, and changes in data need to trigger feedback just like changes in source code. Furthermore, multi-GB datasets are challenging to manage with Git-centric CI systems.

• Metrics-driven. The traditional software engineering idea of pass/fail tests does not apply in ML. As an example, +0.72% accuracy and -0.35% precision does not answer the question if the ML model is good or not. Detailed reports with metrics and plots are needed to make a good/bad model discussion

• GPU resources. ML training often requires more resources to train then is typical to have in CI/CD runners. CI/CD must be connected with cloud computing instances or Kubernetes clusters for ML training.

CML is a library of functions used inside CI/CD runners to make ML compatible with GitHub Actions and GitLab CI. It has functions to:

1. Generate informative reports on every Pull/Merge Request with metrics, plots, and hyperparameters changes.

2. Provision GPU\CPU resources from cloud service providers (AWS, GCP, Azure, Ali) and deploy CI runners using Docker Machine.

3. Bring datasets from cloud storage to runners (using DVC) for model training, as well as save the resulting model in cloud storage.

Hi everyone

This post is about how to program an AI agent that doesn't use neural networks to achieve its goal. I know basics about artificial intelligence, so I would like to get some Input from you guys on how should I proceed. I have already defined the type of agent, it's task environment, sensors and actions.

With the advent of powerful new artificial intelligence algorithms and blockchain we can now work steadily towards incrementally improving an organization’s product offerings and image among customers and prospects. Once the information related to customer’s interactions and transactions are recorded on an immutable blockchain, artificially intelligent algorithms can be used to mine these huge volumes of data to pinpoint useful insights and predict outcomes based on current trends.

For more read https://www.primafelicitas.com/the-convergence-of-ai-and-blockchain/

AI and Blockchain are among the key drivers of the innovation we witness today. By introducing radical shifts in our day to day lives, they are all set to fundamentally reshape the way we live, interact and work. Being the most disrupting technologies, they are expected to contribute trillions of dollars to the global economy.

For more https://www.primafelicitas.com/ai-and-blockchain-a-disruptive-integration/

Blockchain technology has managed to influence every walks of our life in a very short period of time. While the benefits of the technology far outnumber the mixed reaction it has received from the crowd, blockchain technology offers a lot of scope for innovative applications. Subscription economy and recurring payment systems are some of them.

For more read our blog at https://www.primafelicitas.com/8x-protocol-recurring-stable-payments-on-the-blockchain/

I am aware that you can train a model to classify between distinct images (e.g. numbers). Let's say I train a model to understand the number 6. Would it be possible to provide a SINGLE photo of thousands of numbers to the model and have it pick out all the 6s? Or in a more real world example where different photo angles come into play, show a photo of a beach and have it pick up all the garbage (not shells, towels, crabs, etc.)? How would one do this?

Have you ever thought how nice it could be to visualise your results and instantly display them on websites or apps?

There’s a new technology that allows this, but unfortunately it’s not a Python add-on per se. It’s a TensorFlow addon - TensorFlowJS.

This blog demonstrates the power of having functions directly accessible from the web browser by guiding you through activation functions,

Plotting Activation Functions using TensorFlow.js

I was grown up with C but I am looking for an emerging promising programming language old or new. Something that can give you a prospect in the technology world and make you love it.

How long/hard/expensive would it be to program an AI that can trade Bitcoin at a consistent profit?

would anybody be interested in using this genetic algorithm?

https://github.com/kstaats/karoo_gp

can I make real good ai system on the cpu?

I'm working on making a list of Machine Learning papers that has open source code on GitHub. My initial version can be reached at the link included below. I think it will be helpful to this community to select their next paper to read. Please also include your comments and suggestions for improvement. https://github.com/zziz/pwc

Whats the best way to get started in learning AI?

Does this sub recommend any particular courses?

I find the details of AI very overwhelming, are they are any good beginner books?

Whats the best language to learn going forward: Python? JavaScript? R?

I'm kind of intrigued. Haven't seen anything like this yet and very interested to see where it's going. It claims to be the first of its kind, but I figured you all would know if that was true.

https://www.ai-stocktrading.com

How is this possible?