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Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems
Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner....

Oracle 10g RAC Grid, Services & Clustering
Oracle 10g RAC Grid, Services & Clustering
Oracle RAC and grid technology is transforming the economics of high-end database computing and is a technology that all Oracle professionals should become familiar with. Murali is one of the worlds foremost independent experts on Oracle RAC technology and his book contains everything you need to become proficient in both the theory and practice...
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition
TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition

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...
DHCP for Windows 2000
DHCP for Windows 2000
Dynamic Host Configuration Protocol (DHCP) provides a means of allocating and managing IP addresses dynamically over a network. Before the advent of DHCP, administrators configured each host on a network with an IP address, subnet mask, and default gateway. Maintaining the changes and the logs of the changes took a tremendous amount of time and was...
Grid Generation Methods (Scientific Computation)
Grid Generation Methods (Scientific Computation)
This book is an introduction to structured and unstructured grid methods in scientific computing, addressing graduate students, scientists as well as practitioners. Basic local and integral grid quality measures are formulated and new approaches to mesh generation are reviewed. In addition to the content of the successful first edition, a more...
Administrator's Guide to SQL Server 2005 (Microsoft Windows Server)
Administrator's Guide to SQL Server 2005 (Microsoft Windows Server)
The Complete, Practical, 100% Useful Guide for Every SQL Server 2005 DBA!

 

This book has one goal: to help database administrators and their managers run SQL Server 2005 with maximum efficiency, reliability, and performance. Renowned SQL Server expert Buck Woody covers...

Tcl and Tk Programming for the Absolute Beginner
Tcl and Tk Programming for the Absolute Beginner
Tcl/Tk is enjoying a resurgence of popularity and interest in the computing community due to the fact that it is relatively easy to learn, powerful, fast, permits rapid development, and runs on all computing platforms. Until now, there has not been a guide book available that teaches Tcl/Tk to those with little or no programming experience....
Grouping Multidimensional Data: Recent Advances in Clustering
Grouping Multidimensional Data: Recent Advances in Clustering
Clustering is a fundamental problem that has numerous applications in many disciplines. Clustering techniques are used to discover natural groups in datasets and to identify abstract structures that might reside there, without having any background knowledge of the characteristics of the data. They have been used in various areas including...
Computational Intelligence Paradigms: Theory & Applications using MATLAB
Computational Intelligence Paradigms: Theory & Applications using MATLAB

Offering a wide range of programming examples implemented in MATLAB®, Computational Intelligence Paradigms: Theory and Applications Using MATLAB® presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy...

Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)
Data Mining In Time Series Databases (Series in Machine Perception and Artificial Intelligence)
Traditional data mining methods are designed to deal with “static” databases, i.e. databases where the ordering of records (or other database objects) has nothing to do with the patterns of interest. Though the assumption of order irrelevance may be sufficiently accurate in some applications, there are certainly many other cases, where...
Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing)
Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing)
The maturing of the field of data mining has brought about an increased level of mathematical sophistication. Such disciplines like topology, combinatorics, partially ordered sets and their associated algebraic structures (lattices and Boolean algebras), and metric spaces are increasingly applied in data mining research. This book presents these...
Getting Started with FortiGate
Getting Started with FortiGate

This book will take you from complete novice to expert user in simple, progressive steps. It covers all the concepts you need to administer a FortiGate unit with lots of examples and clear explanations.

Overview

  • Learn about FortiGate and FortiOS 5 starting from the ground up, with no previous knowledge of...
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