Learn IT - Books tags model

Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL

Apress, 2020

Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics.

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Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Packt Publishing, 2018

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

Gain real-world contextualization using deep learning problems concerning research and application

Get to know the best practices to improve and optimize your machine...

Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Packt Publishing, 2018

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

Explore deep learning across computer vision, natural language processing (NLP), and image processing

Discover best practices for the training of deep neural...

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

Packt Publishing, 2018

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

Explore statistics and complex mathematics for data-intensive applications

Discover new developments in EM algorithm, PCA, and bayesian...

Deep Learning Cookbook: Practical Recipes to Get Started Quickly

O'Reilly, 2018

Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve...

Microsoft SQL Server 2012 T-SQL Fundamentals

Microsoft Press, 2012

I’m very happy that Itzik has managed to find the time and energy to produce a book about T-SQL fundamentals. For many years, Itzik has been using his great Microsoft SQL Server teaching, mentoring, and consulting experience to write books on advanced programming subjects, leaving a significant gap not only...

Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Packt Publishing, 2018

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...

Oracle Database 10g SQL

McGraw-Hill, 2004

In this comprehensive book, you’ll learn to write Structured Query Language (SQL) statements to access an Oracle database and use PL/SQL (Procedural Language/SQL) to write programs containing SQL statements. Developed in compliance with the new SQL2003 specification, this definitive resource explains how to use the latest Oracle...

ASP.NET Core 5 and Angular: Full-stack web development with .NET 5 and Angular 11, 4th Edition

Packt Publishing, 2021

Build robust modern web applications using .NET 5, Entity Framework Core, and Angular 11

Key Features

Updated with the latest features and additions in ASP.NET Core 5 and Angular 11

Design, build, and deploy a Single Page Application or Progressive Web App

Computational Vision and Medical Image Processing: Recent Trends

Springer, 2010

Nowadays, computationalmethodologies of signal processing and imaging analysis for 2D, 3D and even 4D data are commonly used for various applications in society. For example, Computational Vision systems are progressively used for surveillance tasks, traffic analysis, recognition process, inspection purposes, human-machine interfaces, 3D...

Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R

Apress, 2018

Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so...

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Packt Publishing, 2021

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...

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