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machine_learning's Introduction

Machine Learning for The Holy Quran

Learn Machine Learning from Scratch

Topics need to explore

Decision Tree with Pen and Paper. Easy ~6 hours.

Logistic Regression from Scratch. Challenging ~30 hours.

Math for Machine Learning: Essentials / Edvancium

  • Algebra
  • Derivatives
  • Probability
  • Computer Science
  • Fundamentals
  • Limits
  • Computational math
  • Numerical functions
  • Integrals
  • Multivariable calculus

Resource

Books

Four pillars of mathematics in machine learning:

  1. linear algebra
  2. probability theory
  3. multivariate calculus
  4. optimization.

What is a neural network? | Chapter 1, Deep learning

ML Product

Opensource Library | Resource

Neural machine translation with a Transformer and Keras

Machine Translation

Elon Musk apologizes after mocking laid-off Twitter employee with disability

Google: ইলন মাস্ক অক্ষমতা সহ ছাঁটাই করা টুইটার কর্মীকে উপহাস করার পরে ক্ষমা চেয়েছেন

Microsoft: প্রতিবন্ধী টুইটার কর্মীকে নিয়ে ঠাট্টা করার পর ক্ষমা চাইলেন ইলন মাস্ক

http://en.visualtran.com

NLU (Natural Language Understanding)

Words, phrases, sentences, and sometimes entire books are fed into the ML engines, where they are processed based on grammar rules, people’s real-life language habits, or both. The computer uses this data to find patterns and anticipate what comes next.

social media monitoring tool

If you’ve ever used a social media monitoring tool like Buffer or Hootsuite,

98point6 automated assistant, which uses NLP to allow patients to share their information. Before their appointment with the physician, a patient is simply required to text their medical history/conditions to the app. It would then streamline the information, passing it on to the physician.

Transformer

A transformer is a deep learning model that adopts the mechanism of self-attention, differentially weighting the significance of each part of the input data. It is used primarily in the fields of natural language processing (NLP) and computer vision (CV). Like recurrent neural networks (RNNs),

We can buy data to train our model

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