Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP

Related tags

Text Data & NLPStat4ML
Overview

Stat4ML

Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP

This is the first course from our trio courses:

  1. Statistics Foundation for ML

https://github.com/Bellman281/Stat4ML/

  1. Introduction to Statistical Learning https://github.com/Bellman281/Intro_Statistical_Learning

  2. Advanced Statistical Learning for DL ( to be anounced)

Registration Form for cohort 2 of STAT4ML:

https://forms.gle/ZqLJLmv1K5nGVx3m7

Notes about the course:

Instructor : Omid Safarzadeh,

LinkedIn: https://www.linkedin.com/in/omidsafarzadeh/

IG : @deepdatascientists

Course Text Book: Statistical Inference 2nd Edition by George Casella (Author), Roger L. Berger (Author) :

https://www.amazon.com/Statistical-Inference-George-Casella-dp-0534243126/dp/0534243126/ref=mt_other?_encoding=UTF8&me=&qid=

Pre Requisitives

Recall from Calculus:

    Derivative
          Chain rule
    Integral
          Techniques of Integration
          Substitution
    Integration by parts

Matrix Algebra Review:

    Matrix operations
    Matrix Multiplication
       Properties of determinants
       Inverse Matrix
       Matrix Transpose
       Properties of transpose
    Partioned Matrices
    Eigenvalues and Eigenvectors
    Matrix decomposition
       LU decomposition
       Cholesky decomposition
       QR decomposition
       SVD
    Matrix Differentiation

Course 1 :

Slide 1 : Probability Theory Foundation

 Sample Space
 Probability Theory Foundation
    Axiomatic Foundations
    The Calculus of Probabilities
 Independence
 Conditional Probability
    Bayes Theorem
 Random Variables
 Probability Function
    Distribution Functions
    Density function

Slide 2: Moments

   Moments
       Expected Value
       Variance
       Covariance and Correlation
   Moment Generating Functions
       Normal mgf
   Matrix Notation for Moments

Slide 3: Distribution Functions

   Distributions
     Discrete Distribution
       Discrete Uniform Distribution
       Binomial Distribution
       Poisson Distribution
     Continuous Distribution
       Uniform Distribution
       Exponential Distribution
       Normal Distribution
       Lognormal Distribution
       Laplace Distribution
       Beta Distribution

Slide 4: Conditional and Multivariate Distributions

Joint and Marginal Distribution
Conditional Distributions and Independence
Bivariate Transformations
Hierarchical Models and Mixture Distribution
Bivariate Normal Distribution
Multivariate Distribution

Slide 5: Convergence Concepts

Random Samples
   Sums of Random Variable from a Random Sample
Inequalities
Convergence Concepts:
   Almost Sure Convergence
   Convergence in Probability
   Convergence in Distribution
The Delta Method

Slide 6: Maximum Likelihood Estimation

Maximum Likelihood Estimation
  Motivation and the Main Ideas
  Properties of the Maximum Likelihood Estimator

Slide 7: Bayesian and posterior distribution Estimation

   Computing the posterior
   Maximum likelihood estimation (MLE)
Maximum a posteriori (MAP) estimation
   Posterior mean
   MAP properties
Bayesian linear regression
Owner
Omid Safarzadeh
Deep Learning Expert, Kaggler
Omid Safarzadeh
GitHub Repository
End-to-End Speech Processing Toolkit

ESPnet: end-to-end speech processing toolkit system/pytorch ver. 1.0.1 1.1.0 1.2.0 1.3.1 1.4.0 1.5.1 1.6.0 1.7.1 1.8.1 ubuntu18/python3.8/pip ubuntu18

ESPnet 5.9k Jan 03, 2023
🏆 • 5050 most frequent words in 109 languages

🏆 Most Common Words Multilingual 5000 most frequent words in 109 languages. Uses wordfrequency.info as a source. 🔗 License source code license data

14 Nov 24, 2022
An open collection of annotated voices in Japanese language

声庭 (Koniwa): オープンな日本語音声とアノテーションのコレクション Koniwa (声庭): An open collection of annotated voices in Japanese language 概要 Koniwa(声庭)は利用・修正・再配布が自由でオープンな音声とアノテ

Koniwa project 32 Dec 14, 2022
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing

Introduction Funnel-Transformer is a new self-attention model that gradually compresses the sequence of hidden states to a shorter one and hence reduc

GUOKUN LAI 197 Dec 11, 2022
Code for the paper: Sequence-to-Sequence Learning with Latent Neural Grammars

Code for the paper: Sequence-to-Sequence Learning with Latent Neural Grammars

Yoon Kim 43 Dec 23, 2022
CVSS: A Massively Multilingual Speech-to-Speech Translation Corpus

CVSS: A Massively Multilingual Speech-to-Speech Translation Corpus CVSS is a massively multilingual-to-English speech-to-speech translation corpus, co

Google Research Datasets 118 Jan 06, 2023
Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation This is the official PyTorch implementation

Salesforce 564 Jan 08, 2023
HuggingSound: A toolkit for speech-related tasks based on HuggingFace's tools

HuggingSound HuggingSound: A toolkit for speech-related tasks based on HuggingFace's tools. I have no intention of building a very complex tool here.

Jonatas Grosman 247 Dec 26, 2022
Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.

Linear Transformers Are Secretly Fast Weight Programmers This repository contains the code accompanying the paper Linear Transformers Are Secretly Fas

Imanol Schlag 77 Dec 19, 2022
Original implementation of the pooling method introduced in "Speaker embeddings by modeling channel-wise correlations"

Speaker-Embeddings-Correlation-Pooling This is the original implementation of the pooling method introduced in "Speaker embeddings by modeling channel

Themos Stafylakis 10 Apr 30, 2022
Semi-automated vocabulary generation from semantic vector models

vec2word Semi-automated vocabulary generation from semantic vector models This script generates a list of potential conlang word forms along with asso

9 Nov 25, 2022
Code for Emergent Translation in Multi-Agent Communication

Emergent Translation in Multi-Agent Communication PyTorch implementation of the models described in the paper Emergent Translation in Multi-Agent Comm

Facebook Research 75 Jul 15, 2022
In this Notebook I've build some machine-learning and deep-learning to classify corona virus tweets, in both multi class classification and binary classification.

Hello, This Notebook Contains Example of Corona Virus Tweets Multi Class Classification. - Classes is: Extremely Positive, Positive, Extremely Negativ

Khaled Tofailieh 3 Dec 06, 2022
A python package for deep multilingual punctuation prediction.

This python library predicts the punctuation of English, Italian, French and German texts. We developed it to restore the punctuation of transcribed spoken language.

Oliver Guhr 27 Dec 22, 2022
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective This is the official code base for our ICLR 2021 paper

AI Secure 71 Nov 25, 2022
Finding Label and Model Errors in Perception Data With Learned Observation Assertions

Finding Label and Model Errors in Perception Data With Learned Observation Assertions This is the project page for Finding Label and Model Errors in P

Stanford Future Data Systems 17 Oct 14, 2022
A PyTorch implementation of the Transformer model in "Attention is All You Need".

Attention is all you need: A Pytorch Implementation This is a PyTorch implementation of the Transformer model in "Attention is All You Need" (Ashish V

Yu-Hsiang Huang 7.1k Jan 05, 2023
Language-Agnostic SEntence Representations

LASER Language-Agnostic SEntence Representations LASER is a library to calculate and use multilingual sentence embeddings. NEWS 2019/11/08 CCMatrix is

Facebook Research 3.2k Jan 04, 2023
A python framework to transform natural language questions to queries in a database query language.

__ _ _ _ ___ _ __ _ _ / _` | | | |/ _ \ '_ \| | | | | (_| | |_| | __/ |_) | |_| | \__, |\__,_|\___| .__/ \__, | |_| |_| |___/

Machinalis 1.2k Dec 18, 2022
A list of NLP(Natural Language Processing) tutorials built on Tensorflow 2.0.

A list of NLP(Natural Language Processing) tutorials built on Tensorflow 2.0.

Won Joon Yoo 335 Jan 04, 2023