100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
- tutorial
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100 Days of ML Coding
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
The complete guide to static typing in "React & Redux" apps using TypeScript
Guidelines and training material to write secure smart contracts
Inspired by @veltman's command-line mystery, use SQL to research clues and find out whodunit!
Cookbook for Node on FHIR and the clinical Meteor.js build pipeline. Create FDA, HIPPA, and HL7 compliant Javascript/Node applications!
JavaScript SDK Design Guide extracted from work and personal experience
An opinionated guideline to structure & develop a Go web application/service
full guide to help you integrate AI in your workflow, for both beginners and experienced users
Deployment checklist for securely deploying Docker
A playground demoing how to use Accelerate & Swift for Linear Algebra (vector/matrix manipulations)
A beginner's cookbook for the FFmpeg command-line video and audio editing tool
Online bash terminal(emulator) tutorial. A step by step tutorial for the bash shell.