Výsledky vyhľadávania - "COMPUTERS / Programming Languages / Python"

Training Systems Using Python Statistical Modeling : Explore Popular Techniques for Modeling Your Data in Python

Autori: Miller, C.

Predmety: COMPUTERS -- Programming Languages -- Python, Graphical modeling (Statistics), Кафедра Математическое и компьютерное моделирование, EBSCO eBooks, Electronic books, Институт естественных и точных наук, Python (Computer program language)

Popis súboru: application/pdf

Prístupová URL adresa: http://dspace.susu.ru/xmlui/handle/00001.74/51555

Natural Language Processing with Python Quick Start Guide : Going From a Python Developer to an Effective Natural Language Processing Engineer

Autori: Kasliwal Nirant.

Predmety: Artificial intelligence, Debugging In Computer Science, Programming & scripting languages: general, Python (Langage de programmation), Computers -- Programming Languages -- Python, Институт естественных и точных наук, Python (Computer program language), Computers -- Natural Language Processing, Computers -- Languages -- Python, Traitement automatique des langues naturelles, Natural language processing (Computer science), Кафедра Математическое и компьютерное моделирование, Natural language & machine translation, Computer Software -- Testing, EBSCO eBooks, Computers -- Software Development & Engineering -- Quality Assurance & Testing, Electronic books, Natural Language Processing, Computers -- Intelligence (AI) & Semantics

Popis súboru: application/pdf

Prístupová URL adresa: http://dspace.susu.ru/xmlui/handle/00001.74/51584

Applied Computational Thinking with Python: Design Algorithmic Solutions for Complex and Challenging Real-World Problems.

Autori: Jesús Sofía De. Martinez Dayrene.

Zdroj: EN05CEBSCO05C663

Predmety: Computer algorithms, Python (Computer program language), Algorithms, Algorithmes, Python (Langage de programmation), Object-oriented programming (OOP), Programming & scripting languages: general, Computer science, Computers -- Computer Science, Computers -- Programming -- Object Oriented, Computers -- Programming Languages -- Python, Electronic books

Relation: http://dspace.kpfu.ru/xmlui/bitstream/net/178429/-1/2695318.pdf; 183921676X; https://dspace.kpfu.ru/xmlui/handle/net/178429

Dostupnosť: https://dspace.kpfu.ru/xmlui/handle/net/178429

Training Systems Using Python Statistical Modeling: Explore Popular Techniques for Modeling Your Data in Python.

Autori: Miller Curtis.

Zdroj: EN05CEBSCO05C30307

Predmety: COMPUTERS -- Programming Languages -- Python, Python (Computer program language), Graphical modeling (Statistics), Electronic books

Relation: http://dspace.kpfu.ru/xmlui/bitstream/net/178221/-1/2142584.pdf; https://dspace.kpfu.ru/xmlui/handle/net/178221

Dostupnosť: https://dspace.kpfu.ru/xmlui/handle/net/178221

Python machine learning by example: easy-to-follow examples that get you up and running with machine learning/ Yuxi (Hayden) Liu.

Autori: Liu Yuxi (Hayden

Zdroj: EN05CEBSCO05C1358

Predmety: Python (Computer program language), Machine learning, COMPUTERS / Programming Languages / Python, COMPUTERS / Data Processing, COMPUTERS / Databases / Data Mining, Electronic books

Relation: http://dspace.kpfu.ru/xmlui/bitstream/net/178520/-1/2037541.pdf; https://dspace.kpfu.ru/xmlui/handle/net/178520

Dostupnosť: https://dspace.kpfu.ru/xmlui/handle/net/178520

Artificial Intelligence in Agriculture

Autori: Rajesh Singh Anita Gehlot Mahesh Kumar Prajapat a ďalší

Typ zdroja: eBook.

Predmet: Artificial intelligence--Agricultural applicatio, Intelligence artificielle--Applications agricole, TECHNOLOGY--Agriculture--General, COMPUTERS--Programming Languages--Python, Internet of things, Sustainable agriculture

Kategórie: COMPUTERS / Languages / Python, COMPUTERS / Programming / Games, COMPUTERS / Machine Theory, COMPUTERS / Languages / General, SCIENCE / Life Sciences / Botany, TECHNOLOGY & ENGINEERING / Agriculture / General

Machine learning fundamentals: Use Python and scikit-learn to get up and running with the hottest developments in machine learning/ Hyatt Saleh.

Autori: Saleh Hyatt

Zdroj: EN05CEBSCO05C131030

Predmety: Python (Computer program language), Machine learning, Artificial intelligence, COMPUTERS / Programming Languages / Python, Electronic books

Relation: http://dspace.kpfu.ru/xmlui/bitstream/net/178508/-1/1948716.pdf; https://dspace.kpfu.ru/xmlui/handle/net/178508

Dostupnosť: https://dspace.kpfu.ru/xmlui/handle/net/178508

Mastering Python for networking and security: leverage Python scripts and libraries to overcome networking and security issues.

Autori: Ortega José Manuel.

Zdroj: EN05CEBSCO05C128030

Predmety: Python (Computer program language), COMPUTERS / Programming Languages / Python, COMPUTERS / Security / General, Electronic books

Relation: http://dspace.kpfu.ru/xmlui/bitstream/net/178505/-1/1905979.pdf; https://dspace.kpfu.ru/xmlui/handle/net/178505

Dostupnosť: https://dspace.kpfu.ru/xmlui/handle/net/178505

Python for Offensive PenTest: a practical guide to ethical hacking and penetration testing using Python.

Autori: Khrais Hussam.

Zdroj: EN05CEBSCO05C1179

Predmety: Python (Computer program language), Penetration testing (Computer security), Application software -- Testing, COMPUTERS / Programming Languages / Python, COMPUTERS / Software Development & Engineering / Quality Assurance & Testing, Electronic books

Relation: http://dspace.kpfu.ru/xmlui/bitstream/net/178482/-1/1801011.pdf; https://dspace.kpfu.ru/xmlui/handle/net/178482

Dostupnosť: https://dspace.kpfu.ru/xmlui/handle/net/178482

Mastering machine learning for penetration testing: develop an extensive skill set to break self-learning systems using Python/ Chiheb Chebbi.

Autori: Chebbi Chiheb

Zdroj: EN05CEBSCO05C135

Predmety: Python (Computer program language), Machine learning, Penetration testing (Computer security), Computer networks -- Security measures, COMPUTERS / Programming Languages / Python, Electronic books

Relation: http://dspace.kpfu.ru/xmlui/bitstream/net/179663/-1/1840534.pdf; 178899311X; https://dspace.kpfu.ru/xmlui/handle/net/179663

Dostupnosť: https://dspace.kpfu.ru/xmlui/handle/net/179663