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Hands-on natural language processing with Python : a practical guide to applying deep learning architectures to your NLP applications /

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Bibliográfalaš dieđut
Váldodahkkit:	Arumugam, Rajesh (Dahkki), Shanmugamani, Rajalingappaa (Dahkki)
Materiálatiipa:	Elektrovnnalaš E-girji
Giella:	eaŋgalasgiella
Almmustuhtton:	Birmingham ; Mumbai : Packt Publishing, 2018.
Fáttát:	Python (Computer program language) Natural language processing (Computer science) Electronic books.
Liŋkkat:	Click to View
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid

Python : advanced guide to artificial intelligence /
Dahkki: Bonaccorso, Giuseppe, et al.
Almmustuhtton: (2018)

Natural language processing with Python quick start guide : going from a Python developer to an effective natural language processing engineer /
Dahkki: Kasliwal, Nirant
Almmustuhtton: (2018)

Hands-on cryptography with python : leverage the power of python to encrypt and decrypt data. /
Dahkki: Bowne, Samuel
Almmustuhtton: (2018)

Hands-On MQTT programming with python : work with the lightweight IoT protocol in python /
Dahkki: Hillar, Gaston C.
Almmustuhtton: (2018)

Hands-on recommendation systems with Python : start building powerful and personalized, recommendation engines with Python /
Dahkki: Banik, Rounak
Almmustuhtton: (2018)

Python for Everyone : Learn and Polish Your Coding Skills in Python /
Dahkki: Chandrakar, Saurabh, et al.
Almmustuhtton: (2023)

Hands-on ensemble learning with python : build highly optimized ensemble machine learning models using scikit-learn and Keras /
Dahkki: Kyriakides, George, et al.
Almmustuhtton: (2019)

Learn python programming : a beginner's guide to learning the fundamentals of python language to write efficient, high-quality code /
Dahkki: Romano, Fabrizio
Almmustuhtton: (2018)

Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python /
Dahkki: Johnston, Benjamin, et al.
Almmustuhtton: (2019)

Python data analysis : learn how to apply powerful data analysis techniques with popular open source Python modules /
Dahkki: Idris, Ivan
Almmustuhtton: (2014)

Python machine learning /
Dahkki: Lee, Wei-Meng
Almmustuhtton: (2019)

Python unlocked : become more fluent in Python-- learn strategies and techniques for smart and high-performance Python programming /
Dahkki: Tigeraniya, Arun
Almmustuhtton: (2015)

Natural language processing with TensorFlow : teach language to machines using Python's deep learning library /
Dahkki: Ganegedara, Thushan
Almmustuhtton: (2018)

Testing Python : applying unit testing, TDD, BDD, and acceptance testing /
Dahkki: Sale, David
Almmustuhtton: (2014)

Python : an introduction to programming /
Dahkki: Parker, James R.
Almmustuhtton: (2017)

Python : an introduction to programming /
Dahkki: Parker, James R.
Almmustuhtton: (2021)

The Python book /
Dahkki: Mastrodomenico, Rob
Almmustuhtton: (2022)

Intermediate Python /
Dahkki: Campesato, Oswald
Almmustuhtton: (2023)

Advanced deep learning with Python : design and implement advanced next-generation AI solutions using TensorFlow and Pytorch /
Dahkki: Vasilev, Ivan
Almmustuhtton: (2019)

The python workshop : a practical, no-nonsense introduction to python development /
Dahkki: Bird, Andrew
Almmustuhtton: (2019)

Python for Chemistry : An Introduction to Python Algorithms, Simulations, and Programing for Chemistry /
Dahkki: Kanagasabapathy, M.
Almmustuhtton: (2023)

Bite-size Python : an introduction to Python programming /
Dahkki: Speight, April
Almmustuhtton: (2020)

Professional Python /
Dahkki: Sneeringer, Luke
Almmustuhtton: (2016)

Applied supervised learning with Python : use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning /
Dahkki: Johnston, Benjamin, et al.
Almmustuhtton: (2019)

Bayesian analysis with Python : unleash the power and flexibility of the Bayesian framework /
Dahkki: Martin, Osvaldo
Almmustuhtton: (2016)

Recurrent neural networks with Python quick start guide : sequential learning and language modeling with TensorFlow /
Dahkki: Kostadinov, Simeon
Almmustuhtton: (2018)

Black hat Python : Python programming for hackers and pentesters /
Dahkki: Seitz, Justin
Almmustuhtton: (2015)

The pythonic way : an architect's guide to conventions and best practices for the design, development, testing and management of enterprise Python code /
Dahkki: Raj, Sonal
Almmustuhtton: (2022)

Gray hat Python Python programming for hackers and reverse engineers /
Dahkki: Seitz, Justin
Almmustuhtton: (2009)

Parallel programming with Python : develop efficient parallel systems using the robust Python environment /
Dahkki: Palach, Jan
Almmustuhtton: (2014)

Python 3 : ein Lern- und Arbeitsbuch /
Dahkki: Doberkat, Ernst-Erich
Almmustuhtton: (2018)

Practical Maya Programming with Python : unleash the power of Python in Maya and unlock your creativity /
Dahkki: Galanakis, Robert
Almmustuhtton: (2014)

Learning Python with Raspberry Pi /
Dahkki: Bradbury, Alex
Almmustuhtton: (2014)

Python for bioinformatics /
Dahkki: Bassi, Sebastian
Almmustuhtton: (2010)

WxPython application development cookbook : over 80 step-by-step recipes to get you up to speed with building your own wxPython applications /
Dahkki: Precord, Cody
Almmustuhtton: (2015)

Hands-on data visualization with bokeh : interactive web plotting for python using bokeh /
Dahkki: Jolly, Kevin
Almmustuhtton: (2018)

Python for data science for dummies /
Dahkki: Mueller, John Paul, et al.
Almmustuhtton: (2019)

Python 3 and Feature Engineering /
Dahkki: Campesato, Oswald
Almmustuhtton: (2024)

Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns /
Dahkki: Lanaro, Gabriele, Dr, et al.
Almmustuhtton: (2019)

Secret recipes of the Python Ninja : over 70 recipes that uncover powerful programming tactics in Python /
Dahkki: Jackson, Cody
Almmustuhtton: (2018)