Best book in PL


I have learned R during AI classes with dr Jarosław Olejniczak during Master Degree studies in Finance and Accounting in Warsaw School of Economics.

We used AMORE libary to simulate simple percpetron artificial neural networks that based on McCulloch-Pitts mathematical model with simple a few layer architecture, one direction, simple activation function, training process using some gradient optimization methods.

Those classes influenced me much. However languages, basics we have learned about used to be outdated sometimes (like CLIPS, fuzzyCLIPS or PROLOG). But I got familiar especially with R language.

After some time when I was asked to prepare a course for Postgraduate Studies Quantitative Methods in the Analysis of Financial Markets I knew that I could deliver basically two courses.

One that is the best theoretical combination of my double major – from psychology and economics – to teach artificial neural networks because I had basis to teach everything from the sense of optimization as a procedure, neuron cell logic from biological and mathematical point of view, I could combine my knowledge in electronics that I was passionate about since early childhood and found this area very inspiring and fruitful in terms of how many competences of myself I could combine and how much creativity I could unleash. During this course I used R language the similar way I have learnt during classes with dr J. Olejniczak however my theoretical introduction to the logic of neural networks as well as application to time series analysis combined my general lifetime gathered knowledge from maths, logic, psychology, brain and neural cell biology, cognitive scienceeconometrics and even theory of foreign exchange (international economics).

Another one was behavioral finance as a consequence of my two theses written under tutor Bartłomiej Gorlewski with whom I shared passion in behavioral finance and he wrote even a quite a good book about it.

I have learnt also Quinlan tree algoritms to classification problems and genetic algorithms. And knowledge about genetic algorithms helped me to develop my own proposal to portfolio optimization problems. A library in R we used during artificial intelligence classes was genalg.

Now I know much better that C++ or Python libraries to artificial intelligence methods and problems also exist. But my passion to DataMining techniques in general has decreased after my clinical psychology studies and when I realized that artificial intelligence methods on a large scale are implemented like forced orgasm monkey stupid behavior like some autistic people like AT from my Secondary School are. That are stubborn, bitchy, empty, stupid as a consequence of autistic repetitive and missing psychological insight same time. Suggestions and data analyzes of Facebook are in fact extremely stupid what does not deny the fact that rude as well as hostile the psychopath way. They endlessly explore and classify and work in some dimensions but the scope, the way they scrap personality manifestations of people in terms of so many particular details, dimensions, extremes of a behavior, individual differences, time patterns, responses, geolocational tracking, data cells about so many aspects of how people reveal themselves in general is hard to combine with clinical psychology knowledge and ethical standards that I am obliged to as a psychologist.


Another resources on R

A book – R for beginners – Emmanuel Paradis https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf

Ewelina Bednarz – Wprowadzenie do języka R http://www.ii.uni.wroc.pl/~aba/SSNiS/subSSNiS/bednarz.pdf

R: A Language and Environment for Statistical Computing. Reference Index; The R Development Core Team  http://softlibre.unizar.es/manuales/aplicaciones/r/fullrefman.pdf

Łukasz Komsta – Wprowadzenie do środowiska R https://cran.r-project.org/doc/contrib/Komsta-Wprowadzenie.pdf

Venables, Smith – Introduction to R http://citeseerx.ist.psu.edu/viewdoc/download?doi=