Can AlphaZero play Curling? 🥌

The majority of turn-based games, that AlphaZero has been applied to, all share one common aspect — they are played on a board with discrete locations for pieces. This is true for Go, Chess, Shogi, and numerous other games.

Source: Free Image by Kristin Hardwick

A board with discrete spaces can be easily represented as a small image. A chessboard would fit into an image of size 8 pixels by 8 pixels. For comparison, the stock photo above is 960 pixels by 640 pixels. Convolutional Neural Network (CNN) was specifically designed to do image analysis. It learns faster than a fully connected artificial neural network (ANN) because some neuron connections are removed a priori. Most boards can be easily represented as images. Each piece on the board would have its unique value or “color”, and each pixel would correspond to a square on the board. To represent the game Go only 3 color values would be needed to represent white, black, and unoccupied.

There is another commonality among turn-based board games: looking at the board pieces is almost all you need to know to figure out the best next move. This means that you do not need any historical data about the game, or any meta-data to continue playing it. Exceptions to this are rules like “Threefold repetition” or Castling in Chess. AlphaZero adds these data by having additional layers per rule as training input. That means that your 2D image grows double in size or more.

#artificial-intelligence #simulation #machine-learning #curling #alphazero

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Can AlphaZero play Curling? 🥌

The majority of turn-based games, that AlphaZero has been applied to, all share one common aspect — they are played on a board with discrete locations for pieces. This is true for Go, Chess, Shogi, and numerous other games.

Source: Free Image by Kristin Hardwick

A board with discrete spaces can be easily represented as a small image. A chessboard would fit into an image of size 8 pixels by 8 pixels. For comparison, the stock photo above is 960 pixels by 640 pixels. Convolutional Neural Network (CNN) was specifically designed to do image analysis. It learns faster than a fully connected artificial neural network (ANN) because some neuron connections are removed a priori. Most boards can be easily represented as images. Each piece on the board would have its unique value or “color”, and each pixel would correspond to a square on the board. To represent the game Go only 3 color values would be needed to represent white, black, and unoccupied.

There is another commonality among turn-based board games: looking at the board pieces is almost all you need to know to figure out the best next move. This means that you do not need any historical data about the game, or any meta-data to continue playing it. Exceptions to this are rules like “Threefold repetition” or Castling in Chess. AlphaZero adds these data by having additional layers per rule as training input. That means that your 2D image grows double in size or more.

#artificial-intelligence #simulation #machine-learning #curling #alphazero

Wondering how to upgrade your skills in the pandemic? Here's a simple way you can do it.

Corona Virus Pandemic has brought the world to a standstill.

Countries are on a major lockdown. Schools, colleges, theatres, gym, clubs, and all other public places are shut down, the country’s economy is suffering, human health is on stake, people are losing their jobs and nobody knows how worse it can get.

Since most of the places are on lockdown, and you are working from home or have enough time to nourish your skills, then you should use this time wisely! We always complain that we want some ‘time’ to learn and upgrade our knowledge but don’t get it due to our ‘busy schedules’. So, now is the time to make a ‘list of skills’ and learn and upgrade your skills at home!

And for the technology-loving people like us, Knoldus Techhub has already helped us a lot in doing it in a short span of time!

If you are still not aware of it, don’t worry as Georgia Byng has well said,

“No time is better than the present”

– Georgia Byng, a British children’s writer, illustrator, actress and film producer.

No matter if you are a developer (be it front-end or back-end) or a data scientist, tester, or a DevOps person, or, a learner who has a keen interest in technology, Knoldus Techhub has brought it all for you under one common roof.

From technologies like Scala, spark, elastic-search to angular, go, machine learning, it has a total of 20 technologies with some recently added ones i.e. DAML, test automation, snowflake, and ionic.

How to upgrade your skills?

Every technology in Tech-hub has n number of templates. Once you click on any specific technology you’ll be able to see all the templates of that technology. Since these templates are downloadable, you need to provide your email to get the template downloadable link in your mail.

These templates helps you learn the practical implementation of a topic with so much of ease. Using these templates you can learn and kick-start your development in no time.

Apart from your learning, there are some out of the box templates, that can help provide the solution to your business problem that has all the basic dependencies/ implementations already plugged in. Tech hub names these templates as xlr8rs (pronounced as accelerators).

xlr8rs make your development real fast by just adding your core business logic to the template.

If you are looking for a template that’s not available, you can also request a template may be for learning or requesting for a solution to your business problem and tech-hub will connect with you to provide you the solution. Isn’t this helpful 🙂

Confused with which technology to start with?

To keep you updated, the Knoldus tech hub provides you with the information on the most trending technology and the most downloaded templates at present. This you’ll be informed and learn the one that’s most trending.

Since we believe:

“There’s always a scope of improvement“

If you still feel like it isn’t helping you in learning and development, you can provide your feedback in the feedback section in the bottom right corner of the website.

#ai #akka #akka-http #akka-streams #amazon ec2 #angular 6 #angular 9 #angular material #apache flink #apache kafka #apache spark #api testing #artificial intelligence #aws #aws services #big data and fast data #blockchain #css #daml #devops #elasticsearch #flink #functional programming #future #grpc #html #hybrid application development #ionic framework #java #java11 #kubernetes #lagom #microservices #ml # ai and data engineering #mlflow #mlops #mobile development #mongodb #non-blocking #nosql #play #play 2.4.x #play framework #python #react #reactive application #reactive architecture #reactive programming #rust #scala #scalatest #slick #software #spark #spring boot #sql #streaming #tech blogs #testing #user interface (ui) #web #web application #web designing #angular #coronavirus #daml #development #devops #elasticsearch #golang #ionic #java #kafka #knoldus #lagom #learn #machine learning #ml #pandemic #play framework #scala #skills #snowflake #spark streaming #techhub #technology #test automation #time management #upgrade

Jupyter Notebook Kernel for Running ansible Tasks and Playbooks

Ansible Jupyter Kernel

The Ansible Jupyter Kernel adds a kernel backend for Jupyter to interface directly with Ansible and construct plays and tasks and execute them on the fly.

Demo

Installation:

ansible-kernel is available to be installed from pypi but you can also install it locally. The setup package itself will register the kernel with Jupyter automatically.

From pypi

pip install ansible-kernel
python -m ansible_kernel.install

From a local checkout

pip install -e .
python -m ansible_kernel.install

For Anaconda/Miniconda

pip install ansible-kernel
python -m ansible_kernel.install --sys-prefix

Usage

Local install

    jupyter notebook
    # In the notebook interface, select Ansible from the 'New' menu

Container

docker run -p 8888:8888 benthomasson/ansible-jupyter-kernel

Then copy the URL from the output into your browser:
http://localhost:8888/?token=ABCD1234

Using the Cells

Normally Ansible brings together various components in different files and locations to launch a playbook and performs automation tasks. For this jupyter interface you need to provide this information in cells by denoting what the cell contains and then finally writing your tasks that will make use of them. There are Examples available to help you, in this section we'll go over the currently supported cell types.

In order to denote what the cell contains you should prefix it with a pound/hash symbol (#) and the type as listed here as the first line as shown in the examples below.

#inventory

The inventory that your tasks will use

#inventory
[all]
ahost ansible_connection=local
anotherhost examplevar=val

#play

This represents the opening block of a typical Ansible play

#play
name: Hello World
hosts: all
gather_facts: false

#task

This is the default cell type if no type is given for the first line

#task
debug:

#task
shell: cat /tmp/afile
register: output

#host_vars

This takes an argument that represents the hostname. Variables defined in this file will be available in the tasks for that host.

#host_vars Host1
hostname: host1

#group_vars

This takes an argument that represents the group name. Variables defined in this file will be available in the tasks for hosts in that group.

#group_vars BranchOfficeX
gateway: 192.168.1.254

#vars

This takes an argument that represents the filename for use in later cells

#vars example_vars
message: hello vars

#play
name: hello world
hosts: localhost
gather_facts: false
vars_files:
    - example_vars

#template

This takes an argument in order to create a templated file that can be used in later cells

#template hello.j2
{{ message }}

#task
template:
    src: hello.j2
    dest: /tmp/hello

#ansible.cfg

Provides overrides typically found in ansible.cfg

#ansible.cfg
[defaults]
host_key_checking=False

Examples

You can find various example notebooks in the repository

Using the development environment

It's possible to use whatever python development process you feel comfortable with. The repository itself includes mechanisms for using pipenv

pipenv install
...
pipenv shell

---

Author: ansible
Source Code:  https://github.com/ansible/ansible-jupyter-kernel
License: Apache-2.0 License

#jupyter #python 

MyDefiPet Play Game & Earn Crypto | How to Play DeFi Pet and Earn. BSC Blockchain Game

My DeFi Pet is a a virtual pet game that combines DeFi, collectibles and your own personality. My DeFi Pet is operated on Supported Network including Binance Smart Chain and KardiaChain. I this video I take you through the basics on how to play and start building your pets which you can sell in the marketplace when it’'s live. This is not a free game you need to know DPET tokens on Pancakeswap or on a exchange that supports the KardiaChain version of Dpet. I like using Metamask it’s easier for me so this video will be in BSC.

📺 The video in this post was made by Crypto expat
The origin of the article: https://www.youtube.com/watch?v=yZ-lpW89oJs
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#bitcoin #blockchain #earn crypto #mydefipet play game #how to play defi pet and earn #mydefipet play game & earn crypto | how to play defi pet and earn. bsc & kadiachain blockchain game

10 Highest Paying Jobs You Can Learn (Without College). ( HOT NEWS!!! )

These are the 10 highest paying jobs you can learn without needing a college degree. Jobs that pay $75,000 and higher.
📺 The video in this post was made by Andrei Jikh
The origin of the article: https://www.youtube.com/watch?v=QIGDA2JRz8w
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
Cryptocurrency trading is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#bitcoin #blockchain #10 highest paying jobs you can learn #jobs #highest paying jobs you can learn #10 highest paying jobs you can learn (without college)