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Expert One-on-One Oracle
Expert One-on-One Oracle
Tom Kyte is of a rare breed. To begin, he's technically expert in his subject (administration of and development of applications for Oracle database management systems). What's more (and what distinguishes him from the ranks of the super-competent), he is both able and willing to share his considerable store of wisdom with Oracle users via...
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

  • Learn PyTorch for implementing cutting-edge deep learning algorithms.
  • Train your neural networks for higher speed and flexibility and learn how to implement them in various...
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Key Features

  • Implement machine learning algorithms to build, train, and validate algorithmic models
  • Create your own algorithmic design process to apply...
Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7
Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.

Key Features

  • Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4)and...
fastText Quick Start Guide: Get started with Facebook's library for text representation and classification
fastText Quick Start Guide: Get started with Facebook's library for text representation and classification

Perform efficient fast text representation and classification with Facebook's fastText library

Key Features

  • Introduction to Facebook's fastText library for NLP
  • Perform efficient word representations, sentence classification, vector representation
  • ...
Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Take your NLP knowledge to the next level and become an AI language understanding expert by mastering the quantum leap of Transformer neural network models

Key Features

  • Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using...
Python Data Analytics: With Pandas, NumPy, and Matplotlib
Python Data Analytics: With Pandas, NumPy, and Matplotlib
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. 

This revision is fully updated with new content on social media data analysis, image
...
PyTorch Recipes: A Problem-Solution Approach
PyTorch Recipes: A Problem-Solution Approach
Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look...
Leveraging WMI Scripting (HP Technologies)
Leveraging WMI Scripting (HP Technologies)

Leveraging Scripting is the second in a series of two books dedicated to WMI. Understanding WMI, Lissoir’s first book, explained to Windows Administrators the various WMI scripting techniques and manageability capabilities of this new Windows Server 2003 platform. Illustrated with hundreds of scripts and detailed...

Optimizing C ++
Optimizing C ++
Written in an exceptionally clear style that doesn't skimp on technical detail, Steve Heller's guide offers several high-performance search and data-compression algorithms, which are all you need to add speed to C++. Early sections of the book address the advantages of optimizing C++, which the author considers something of a lost art. Instead of...
An Introduction to IMS(TM) : Your Complete Guide to IBM's Information Management System
An Introduction to IMS(TM) : Your Complete Guide to IBM's Information Management System

The Only Up-to-the-Minute Guide to IMS Version 9--Straight from IBM IMS Experts

  • Introduces IMS, one of the world's premiere software products
  • Thoroughly covers key IMS functions, from security to Java support
  • For both new and experienced IMS...
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