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
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

FNet: Mixing Tokens with Fourier Transforms Pytorch implementation of Fnet : Mixing Tokens with Fourier Transforms. Citation: @misc{leethorp2021fnet,

Rishikesh (ऋषिकेश) 217 Dec 05, 2022
Generate vector graphics from a textual caption

VectorAscent: Generate vector graphics from a textual description Example "a painting of an evergreen tree" python text_to_painting.py --prompt "a pai

Ajay Jain 97 Dec 15, 2022
Generating new names based on trends in data using GPT2 (Transformer network)

MLOpsNameGenerator Overall Goal The goal of the project is to develop a model that is capable of creating Pokémon names based on its description, usin

Gustav Lang Moesmand 2 Jan 10, 2022
Wind Speed Prediction using LSTMs in PyTorch

Implementation of Deep-Forecast using PyTorch Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting Adapted from original implementation Setu

Onur Kaplan 151 Dec 14, 2022
Codes to pre-train Japanese T5 models

t5-japanese Codes to pre-train a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts. The model is available at https://hug

Megagon Labs 37 Dec 25, 2022
An open source framework for seq2seq models in PyTorch.

pytorch-seq2seq Documentation This is a framework for sequence-to-sequence (seq2seq) models implemented in PyTorch. The framework has modularized and

International Business Machines 1.4k Jan 02, 2023
Product-Review-Summarizer - Created a product review summarizer which clustered thousands of product reviews and summarized them into a maximum of 500 characters, saving precious time of customers and helping them make a wise buying decision.

Product-Review-Summarizer - Created a product review summarizer which clustered thousands of product reviews and summarized them into a maximum of 500 characters, saving precious time of customers an

Parv Bhatt 1 Jan 01, 2022
Russian words synonyms and antonyms

ru_synonyms Russian words synonyms and antonyms. Install pip install git+https://github.com/ahmados/rusynonyms.git Usage from ru_synonyms import Anto

sumekenov 7 Dec 14, 2022
Count the frequency of letters or words in a text file and show a graph.

Word Counter By EBUS Coding Club Count the frequency of letters or words in a text file and show a graph. Requirements Python 3.9 or higher matplotlib

EBUS Coding Club 0 Apr 09, 2022
本插件是pcrjjc插件的重置版，可以独立于后端api运行

pcrjjc2 本插件是pcrjjc重置版，不需要使用其他后端api，但是需要自行配置客户端 本项目基于AGPL v3协议开源，由于项目特殊性，禁止基于本项目的任何商业行为 配置方法 环境需求：.net framework 4.5及以上 jre8 别忘了装jre8 别忘了装jre8 别忘了装jre8

132 Dec 26, 2022
تولید اسم های رندوم فینگیلیش

karafs کرفس تولید اسم های رندوم فینگیلیش installation ➜ pip install karafs usage دو زبانه ➜ karafs -n 10 توت فرنگی بی ناموس toot farangi-ye bi_namoos

Vaheed NÆINI (9E) 36 Nov 24, 2022
Japanese Long-Unit-Word Tokenizer with RemBertTokenizerFast of Transformers

Japanese-LUW-Tokenizer Japanese Long-Unit-Word (国語研長単位) Tokenizer for Transformers based on 青空文庫 Basic Usage from transformers import RemBertToken

Koichi Yasuoka 3 Dec 22, 2021
Code repository for "It's About Time: Analog clock Reading in the Wild"

it's about time Code repository for "It's About Time: Analog clock Reading in the Wild" Packages required: pytorch (used 1.9, any reasonable version s

52 Nov 10, 2022
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP

This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP

Graph4AI 230 Nov 22, 2022
Search Git commits in natural language

NaLCoS - NAtural Language COmmit Search Search commit messages in your repository in natural language. NaLCoS (NAtural Language COmmit Search) is a co

Pushkar Patel 50 Mar 22, 2022
The code for two papers: Feedback Transformer and Expire-Span.

transformer-sequential This repo contains the code for two papers: Feedback Transformer Expire-Span The training code is structured for long sequentia

Meta Research 125 Dec 25, 2022
A Transformer Implementation that is easy to understand and customizable.

Simple Transformer I've written a series of articles on the transformer architecture and language models on Medium. This repository contains an implem

Naoki Shibuya 4 Jan 20, 2022
Code for "Finetuning Pretrained Transformers into Variational Autoencoders"

transformers-into-vaes Code for Finetuning Pretrained Transformers into Variational Autoencoders (our submission to NLP Insights Workshop 2021). Gathe

Seongmin Park 22 Nov 26, 2022
Blazing fast language detection using fastText model

Luga A blazing fast language detection using fastText's language models Luga is a Swahili word for language. fastText provides a blazing fast language

Prayson Wilfred Daniel 18 Dec 20, 2022
Azure Text-to-speech service for Home Assistant

Azure Text-to-speech service for Home Assistant The Azure text-to-speech platform uses online Azure Text-to-Speech cognitive service to read a text wi

Yassine Selmi 2 Aug 06, 2022