AI Projects for Us Dev4US NEW SPECS4US

By pjain      Published June 28, 2020, 3:52 a.m. in blog AI-Analytics-Data   

IQ, Andr, graphQL

GraphQL

Apps for US - by prio

Posenet

TFLite

TFLite 101

Models conversion, management

Biometrics, fingerprint, TouchID, FaceID

Face Recognition

Speech to Text

Object detection

Text, OCR, Digit recognizer

AR multiple Classifier

CV Classifier

Flutter - Apps

Chat App

PKJ Py>AI/ML/DL Learning Sequence

Python, NumPy, Pandas

  • Python - more oop
  • NumPy, Pandas -hv Mastering ML with PY in six steps by M. Swamynathan,

ML QS -> ML algo

ML 101

  • Practical ML with PY by Sarkar,Bali,Sharma 2018 -hv

Data Engineering, Cleanup, Feature Sets

  • Practical ML with PY by Sarkar,Bali,Sharma 2018 hv
    • CH 4 Feature Engineering

ML Model Diagnosis, Tuning, Squeezing

  • CH 5 Building,Tuning and Deploying Models - Practical ML with PY by Sarkar,Bali,Sharma 2018 hv

NLP Py Sequence from practical Examples

DJ, Blog7 Uses of NLP

Hide LowQuality - Content scoring for Blogs

  • DJ3byEx-hv -

Similarity of Posts - boost with recommendations

Sexy UI cardy view

Automatic Tagging of Blog Posts

  • Ch6 NLTK tagging - Adv ML with Py, John Hearty, 2016

PKJ AI Learning Algo

AI Conceptual, General

  • Thinking on how to apply - AI by Example by Denis Rothman 2018 hv CH2 - thinking like a machine CH2 - apply machine thinking to human problems CH7 - Data sampling, statistical thinking

CS Math 101

  • Linear Algebra
  • PDE

AI Algo

  • Goodman
  • ML theory Book

Advanced ML, AI with Python

Clustering

PCA, k-Means

  • Ch1 PCA, kMeans, SOM - Adv ML with Py, John Hearty, 2016

DL PY

RL PY

TL PY

Unsupervised Learning

  • Adv ML with Py, John Hearty, 2016

CV in PY

  • CH12 DL for CV in Practical ML with PY by Sarkar,Bali,Sharma 2018 hv
  • CH9 CNN - image layering in Thinking on how to apply - AI by Example by Denis Rothman 2018 hv
  • Ch4 PCA, kMeans, SOM - Adv ML with Py, John Hearty, 2016

=== AI apps

AI Apps Overview

  • x hv AI for Dummies by Mueller --- apps overview
  • x hv ML for Dummies by Mueller --- R/Py overview no GPU/DL/RL/TL

Regression, TS, Multi-Variate Analysis

Regression 101

  • CH 6 Regression, Practical ML with PY by Sarkar,Bali,Sharma 2018 hv
    • Linear, R-squared/Goodness of Fit
    • Decision Tree Regression

Decision Tree Based Algorithms

  • Decision trees have an advantage of interpretable, and logical eg diagnostic flows
  • It would be great to figure out rules of decision tree FROM datasets
  • Inference once a tree is setup, can be VERY fast.

CART or Classification And Regression Tree ID3 or Iterative Dichotomizer 3 C4.5

Time Series, Forecasting, Predicting

  • CH 11 Stock Price Forecasting TS Practical ML with PY by Sarkar,Bali,Sharma 2018 hv

Multi-variate, Correlation, Key factor analysis

  • CH 9 Analyzing Wine Types/analysis factors - Practical ML with PY by Sarkar,Bali,Sharma 2018 -hv

Business, E-Commerce Analysis

Reviews, Recommendation

  • Practical ML with PY by Sarkar,Bali,Sharma 2018 hv CH 7 - analyzing reviews CH 8 Customer Segmentation, Cross Selling CH 10 Analyzing Music Trends, Recommending

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