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Name: Kei Tachikawa
Type: User
Bio: Never let the future disturb you. You will meet it, if you have to, with the same weapons of reason which today arm you against the present. ~ Marcus Aurelius
Name: Kei Tachikawa
Type: User
Bio: Never let the future disturb you. You will meet it, if you have to, with the same weapons of reason which today arm you against the present. ~ Marcus Aurelius
A very primitive eliza based chatbot for use with Telegram.
Roadmap to becoming an Artificial Intelligence Expert in 2020
Arduino air quality meter using the Sainsmart TGS2602
A hacky script to get albumart in mpd+ncmpcpp
An amalgamation of Multiple API's for weather forecasting and then making it an API based service with the help of flask.
Optical Character Recognition using Google Vision API on Android
A simple Collection of Anime Quotes
An Android app to watch anime on your phone without ads.
A script to download pages from Arch Wiki for offline browsing
A simple interfacing of HCSR04 and ESP8266 to send and receive data
🔥Awesome list of resources on Web Development.
Fork of bashplotlib used in Open Source for Advanced Beginners #1
Simple and Lightweight battery monitor in C++
Online Blogging Website
Don't ask about name, github suggested it.
A terminal based gopher client
Classifier bot puts users into defined set of Squad leaders and Assigns them a place.
A simple VM for our CTF needs, feel free to make PR
Small, fast and powerful console music player for Unix-like operating systems.
My approach to solve many codeforces problems. Please don't solve, and make sure to send recommendations
Color package for Go (golang)
Fast in-browser PDF compressor
A compositor for X11.
My custom hacky compton that works kinda :P
A repo for config files: mpd, ncmpcpp, bashrc, zshrc
<h1>hare krishna</h1> Here’s an overview of our goals for you in the course. After completing this course you should be able to: - Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. - Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. - Get value out of Big Data by using a 5-step process to structure your analysis. - Identify what are and what are not big data problems and be able to recast big data problems as data science questions. - Provide an explanation of the architectural components and programming models used for scalable big data analysis. - Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. - Install and run a program using Hadoop! Throughout the course, we offer you various ways to engage and test your proficiency with these goals. Required quizzes seek to give you the opportunity to retrieve core definitions, terms, and key take-away points. We know from research that the first step in gaining proficiency with something involves repeated practice to solidify long-term memory. But, we also offer a number of optional discussion prompts where we encourage you to think about the concepts covered as they might impact your life or business. We encourage you to both contribute to these discussions and to read and respond to the posts of others. This opportunity to consider the application of new concepts to problems in your own life really helps deepen your understanding and ability to utilize the new knowledge you have learned. Finally, we know this is an introductory course, but we offer you one problem solving opportunity to give you practice in applying the Map Reduce process. Map Reduce is a core programming model for Big Data analysis and there’s no better way to make sure you really understand it than by trying it out for yourself! We hope that you will find this course both accessible, but also capable of helping you deepen your thinking about the core concepts of Big Data. Remember, this is just the start to our specialization -- but it’s also a great time to take a step back and think about why the challenges of Big Data now exist and how you might see them impacting your world -- or the world in the future!
Turn asterisk-indented text lines into mind maps
pewpew
Linux Desktop Music visualizer made with SFML
This is a repo that contains the git related work. I am relearning git.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.