IAs psychoanalysis
Psychoanalysis and AI
About me: Slides about the School of Psychoanalysis and Art…
About me: Slides about the School of Psychoanalysis and Art
Computer Engineering - ITA
Neurocomputing: Medical Neuroscience, Drugs and Brain, Light, Spike, and Sight: The neuroscience of vision, Eye, Brain, and Vision
Clinic, Supervision and Psychoanalytic Theory: Unconscious, pleasure, sexuality, social bonds
Where we are
Project September/23
Psychoanalytic Clinic
Social Networks
Production of theoretical courses
Product: Reading, writing, speaking, recording, editing, counting
Slides, Spreadsheets, texts, Videos, Code… Processes, Financial
Marketing
Tools
Management: Google Keep, Google Calendar
Reading: ReadEra, @Voice, Smart Book, mAbook
Texts: Docs, Slides
Speech: Recorder, Live Transcribe
Recording
Clinic: Meet/Zoom
Editing: Canvas, CapCut, TikTok
Financial: Excel, Finance App
To do
Step by step
Study Group, every 2 weeks, Thursdays 10am
Link to Classroom
Create email and Udemy account: psicanaliseia@gmail.com
Buy some Basic Courses: 22.90 / Course
Access to Casa do Saber: R$34.00
Spreadsheet with Library catalog: Psychoanalysis, Philosophy, Literature, Art, etc
Step by step AI
Basic AI, reading texts
Use AI to read library: ebooks
Test AI
Feed basic AI with Ebooks: epub, mobi
Basic AI, reading texts
Use AI to read library: ebooks
Test AI
Text Cleaning
Ebooks: Mobi, Epub
Create, Edit
Image List
Font
Alignment
Headers
Table of Contents
Text Cleaning
Automata, Regex, Regular Expressions
Sublime, Vim, Ebook Editor
HTML Basics
Practical Activity: Create an ebook from PDF
Use OCR
PDFs
Defects: unselectable text, no table of contents, reading errors in @voice
OCR
Create Table of Contents
Create an ebook from PDF
Paid Tools?
Criteria: Does it work without defects in @voice?
References
Courses by topic: Udemy: Html, AI, Machine Learning, RegEx
Quick Videos: YouTube
Books
Google Search, Stackoverflow, AI Chats
Deliverables
Lacan Seminars
Lacanian Metapsychology
Françoise Dolto
Autism and its misunderstandings
Scripts, Subtitles - Movies
Ebook with edited Subtitles. Clean, without timestamps, extra lines.
Movies: The Hours, Michael Cunningham, Nicolas Winding Refn, Almodovar
Series: How to Get Away with Murder
Tasks
Test IAs Chats Ok
Produce document for Pitch to Investors
Create email and account on Udemy Business: zayabarriniia@gmail.com psicanaliseia@gmail.com Ok
Document, Accountant, Company Contract
Udemy Courses Ok
Shall we start this journey?
Zaya Barrini
@zayabarrini
+55 .35. 99772 6990
Professional experience
Algorithm Development and Dynamic pricing
Engineering for user rewardsndations
ML techniques to improve dynamic pricing + maximize profits
Predictive Modeling and Data Mining
Reduce waste, improve sales, find new markets
Text identification - latent words
Supervised model development, testing, and validation
Predict stock market price with high accuracy.
Smart investments
Optimal pricing strategy to achieve revenue goals
Devised high security: detect an abnormality, intrusion, fraud, masquerading, malware.
Customer behavior.
Rate the financial competence of the business
Personalized application with large data
Predict product sales
Problem-Solving Process
Identify data that is relevant to the problem
Assemble a set of data related to the problem you’re trying to solve
Decide on the type of output you are predictingBased on the type of output, pick an algorithm that will determine a correlation between your features and labels
Use a model generated by an algorithm to make a prediction
Classification - Labels belong to a discreet set
Regression - labels belong to a continuous set
Features == independent variable
Label == dependent variable
Algorithm
KNN - K-nearest Neighbor - which container will the ball fall into?
Training data
Test data
Learning
Predict results
Accuracy
Learn from tests
Shuffle data, Random
Statistics
Gauging accuracy
Investigating optimal values
Our prediction was bad
Adjust the parameters of the analysis
Add more features to explain it
Change the prediction point
Accept that maybe this isn’t a good correlation
KNN for multiple inputs
Performance Issues
Feature Normalization, Standardization
Feature Selection
Evaluating different features - accuracy
Linear Regression
Linear Regression
Only train one time - use it for any prediction
Multiple independent variables
Gradient Descent
Feature Normalization, Standardization
Learning rate
Mean squared error
Derivative
y = mx + b
m is called slope
Slope is the derivative
Algorithm: pick a value for b and m.
Calculate the slope of MSE with respect to b and m
Are both slopes very small? Ifso, we are done
Multiply both slopes by learning rate
Subtract results from b and m
Learning rate, iterations, features, labels, options
Train the model
Use the test to make predictions about observations with known labels
Gauge accuracy
Multivariate First degree equation
Learn rate optimization methods: Adam, Adagrad, RMSProp, Momentum
Batch Gradient Descent - subset of data
Stochastic Gradient Descent - one row at a time
Natural Binary Classification
Logistic Regression
The sigmoid equation
Cross-Entropy
Cost functions
Multinomial Classification
Marginal vs Conditional Probability
Sigmoid vs Softmax
argMax
Handwriting Recognition
Multinomial Logistic Problem
Image file - pixels
..flapMap - reduce 1 dimension in space. 2D to 1D
Encoding Labels values
debugger
Optimization
Handling Large Datasets
Memory issue
Memory Allocation
Memory snapshot
Handling Large Datasets
Minimizing Memory Usage
Creating Memory Snapshots
The Javascript Garbage Collector
Shallow vs Retained Memory Usage
Measuring Memory Usage
Releasing References
Measuring Footprint Reduction
Optimization Tensorflow Memory Usage
Tensorflow’s Eager Memory Usage
Cleaning up Tensors with Tidy
Implementing TF Tidy
Tidying the Training Loop
Measuring Reduced Memory Usage
One More Optimization
Final Memory Report
Plotting Cost History
NaN in Cost History
Fixing Cost History
Massaging Learning Parameters
Improving Model Accuracy
Multinominal Classification
Marginal vs Conditional Probability
Sigmoid vs Softmax
argMax