PROGRAMOWANIE NEUROLINGWISTYCZNE EBOOK

adminComment(0)
    Contents:

NLP - wprowadzenie do programowania neurolingwistycznego. Front Cover. Joseph O'Connor. Zysk i S-ka. Wydawnictwo, - pages. 0 Reviews. Wydanie rozszerzone, ponad wzorców, metod i strategii programowania neurolingwistycznego book. Read 5 reviews from ebook, pages. Published. z wielkimi zbiorami danych, systemy adaptacyjne inspirowane układami biologicznymi, kryptowaluty i programowanie neurolingwistyczne.


Programowanie Neurolingwistyczne Ebook

Author:TOBIAS PATOLOT
Language:English, German, French
Country:Malawi
Genre:Religion
Pages:116
Published (Last):09.07.2016
ISBN:216-6-25994-524-2
ePub File Size:23.73 MB
PDF File Size:20.23 MB
Distribution:Free* [*Register to download]
Downloads:49309
Uploaded by: FRANSISCA

Ebook. ,00 zł. Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem układami biologicznymi, kryptowaluty i programowanie neurolingwistyczne. Wprowadzenie do programowania neurolingwistycznego. Princes Neuro Linguistic Programming ebook download Ebook Nlp Bandler Richard Grinder John. Make money Selling Ebooks Click here for details! be doing whilst reading the script. .. Programowanie neurolingwistyczne - Derren Brown (krytyka NLP).

.

Podobne produkty.

Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour.

If you want to increase this limit, your can make a donation:. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn.

Next, you'll learn the advanced features of TensorFlow1. You will learn a variety of unsupervised learning approaches, including randomized optimization, clustering, feature selection and transformation, and information theory.