Cargando…

Hardcore data science : California 2015 /

"Push the envelope of data science by exploring emerging topics such as data management, machine learning, natural language processing, crowdsourcing, and algorithm design with this O'Reilly video collection--taken from the Hardcore Data Science sessions at Strata + Hadoop World 2015 in Sa...

Descripción completa

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autores Corporativos:	O'Reilly & Associates, Strata Conference + Hadoop World Conference
Formato:	Electrónico Congresos, conferencias Video
Idioma:	Inglés
Publicado:	[Place of publication not identified] : O'Reilly Media, [2015]
Temas:	Database management. Machine learning. Computer vision. Natural language processing (Computer science) Natural Language Processing Bases de données > Gestion. Apprentissage automatique. Vision par ordinateur. Traitement automatique des langues naturelles.
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

Ejemplares similares

Deep learning for natural language processing : applications of deep neural networks to machine learning tasks /
Publicado: (2017)

Train Word embeddings from scratch with Nessvec and PyTorch.
Publicado: (2022)

Use PyNNDescent and `nessvec` to index high dimensional vectors (word embeddings).
Publicado: (2022)

Practical machine learning for computer vision : end-to-end machine learning for images /
por: Lakshmanan, Valliappa, et al.
Publicado: (2021)

Natural language annotation for machine learning /
por: Pustejovsky, J. (James), et al.
Publicado: (2013)

Hands-On Computer Vision with TensorFlow 2 : Leverage Deep Learning to Create Powerful Image Processing Apps with TensorFlow 2. 0 and Keras.
por: Planche, Benjamin
Publicado: (2019)

Hardcore data science : NYC 2014 /
Publicado: (2015)

Python image processing cookbook : over 60 recipes to help you perform complex image processing and computer vision tasks with ease /
por: Dey, Sandipan
Publicado: (2020)

Natural language processing recipes : unlocking text data with machine learning and deep learning using Python /
por: Kulkarni, Akshay
Publicado: (2021)

The complete PyTorch course : deep learning & computer vision.
Publicado: (2019)

Natural language processing recipes : unlocking text data with machine learning and deep learning using Python /
por: Kulkarni, Akshay
Publicado: (2021)

Recommending art with feature engineering /
Publicado: (2022)

Hands-on natural language processing with PyTorch /
Publicado: (2019)

Ruo jian du xue xi shi yong zhi nan : yong geng shao de shu ju zuo geng duo de shi qing = Practical weak supervision : doing more with less data /
por: Tok, Wee-Hyong, et al.
Publicado: (2023)

The power of the tensor in NLP : using unlabeled data and learning from context /
Publicado: (2020)

Python natural language processing : explore NLP with machine learning and deep learning techniques /
por: Thanaki, Jalaj
Publicado: (2017)

Python natural language processing : explore NLP with machine learning and deep learning techniques /
por: Thanaki, Jalaj
Publicado: (2017)

Python natural language processing : explore NLP with machine learning and deep learning techniques /
por: Thanaki, Jalaj
Publicado: (2017)

NLP from scratch : solving the cold start problem for natural language processing /
Publicado: (2019)

Understanding convolutional neural networks (CNNs) : learn how to implement CNNs to generate visualizations /
Publicado: (2017)

Transfer learning for natural language processing.
Publicado: (2022)

SageMaker Studio Lab first thoughts : Amazon SageMaker Studio Lab /
Publicado: (2021)

Practical natural language processing : a comprehensive guide to building real-world NLP systems /
por: Sowmya V. B., et al.
Publicado: (2020)

Machine learning for OpenCV : a practical introduction to the world of machine learning and image processing using OpenCV and Python /
por: Beyeler, Michael
Publicado: (2017)

Machine learning for OpenCV : a practical introduction to the world of machine learning and image processing using OpenCV and Python /
por: Beyeler, Michael
Publicado: (2017)

NLP, BERT, and the anatomy of the tensor /
Publicado: (2020)

Deep learning for natural language processing : creating neural networks with Python /
por: Goyal, Palash, et al.
Publicado: (2018)

GANs mit PyTorch selbst programmieren
por: Rashid, Tariq (Data scientist)
Publicado: (2020)

Java deep learning cookbook : train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j /
por: Raj, Rahul
Publicado: (2019)

AI and deep learning for NLP : tools and techniques for the enterprise.
Publicado: (2017)

Natural language processing with Java : techniques for building machine learning and neural network models for NLP /
por: Reese, Richard M., 1953-, et al.
Publicado: (2018)

Smart and sustainable intelligent systems /
Publicado: (2021)

Executive briefing : an age of embeddings /
Publicado: (2019)

Advanced methods and deep learning in computer vision /
Publicado: (2022)

OpenCV 3 computer vision with Python cookbook : leverage the power of OpenCV 3 and Python to build computer vision applications /
por: Spizhevoy, Alexey, et al.
Publicado: (2018)

OpenCV 3 computer vision with Python cookbook : leverage the power of OpenCV 3 and Python to build computer vision applications /
por: Spizhevoy, Alexey, et al.
Publicado: (2018)

Deep reinforcement learning and GANS Livelessons /
Publicado: (2018)

Human recognition in unconstrained environments : using computer vision, pattern recognition and machine learning methods for biometrics /
Publicado: (2017)

Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques /
por: Morena Alberola, Álvaro, et al.
Publicado: (2019)

Artificial vision and language processing for robotics : create end-to-end systems that can power robots with artificial vision and deep learning techniques /
por: Morena Alberola, Álvaro, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_fbu3p8vluqjqpimm1gnot9269d