Learn IT - Books tags modeling

Grokking Deep Learning

Manning Publications, 2019

Summary

Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.

Purchase of the print book...

Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition

Packt Publishing, 2018

Learn to implement complex data structures and algorithms using Python

Key Features

Understand the analysis and design of fundamental Python data structures

Explore advanced Python concepts such as Big O notation and dynamic programming

Learn functional...

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...

FlexSim in Academe: Teaching and Research (EcoProduction)

Springer, 2019

This book describes a variety of teaching and academic research applications that effectively utilize FlexSim to: (1) provide guidelines, methods and tools for simulation modeling and analysis in a variety of educational settings and (2) address a variety of important design and operational issues in industry. Simulation is...

TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition

Packt Publishing, 2018

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

Key Features

Exploit the features of Tensorflow to build and deploy machine learning models

Train neural networks to tackle real-world problems in Computer Vision and...

Database Modeling and Design: Logical Design, 4th Edition (Data Management Systems)

Morgan Kaufmann, 2005

Database systems and database design technology have undergone significant evolution in recent years. The relational data model and relational database systems dominate business applications; in turn, they are extended by other technologies like data warehousing, OLAP, and data mining. How do you model and design your database application in...

Database Design: Know It All

Morgan Kaufmann, 2008

All of the elements of database design together in a single volume written by the best and brightest experts in the field!

This book brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced...

Object-Oriented Project Management with UML

John Wiley & Sons, 1998

This book is a practical guide to modern software development. It grew out of
a course I regularly teach at TASC, which itself began as happenstance. I had
been asked to appraise an online course on managing object-oriented
development. I hated it. It was a rehash of the old, discredited waterfall
methods of software...

Partial Differential Equation Analysis in Biomedical Engineering: Case Studies with Matlab

Cambridge University Press, 2012

Aimed at graduates and researchers, and requiring only a basic knowledge of multi-variable calculus, this introduction to computer-based partial differential equation (PDE) modeling provides readers with the practical methods necessary to develop and use PDE mathematical models in biomedical engineering. Taking an applied approach, rather...

Probability and Statistics for Computer Scientists

CRC Press, 2013

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools
Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic...

Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Apress, 2018

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python...

Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink®

CRC Press, 2012

Computer-Aided Control Systems Design: Practical Applications Using MATLAB^® and Simulink^® supplies a solid foundation in applied control to help you bridge the gap between control theory and its real-world applications. Working from basic principles, the book delves into control systems...

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