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SUSE and IBM Power Systems for SAP HANA

Recent Advancements in Graph Theory

Exposed

Beyond Diversification: What Every Investor Needs to Know About Asset Allocation

Sebastien Page

Machine Learning in the Oil and Gas Industry : Including Geosciences, Reservoir Engineering, and Production Engineering with Python

Yogendra Narayan Pandey, Ayush Rastogi, Sribharath K

Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects

Poornachandra Sarang

Practical Azure SQL Database for Modern Developers: Building Applications in the Microsoft Cloud

Davide Mauri, Silvano Coriani, Anna Hoffman,

Machine Learning for Economics and Finance in TensorFlow 2: Deep Learning Models for Research and Industry

Isaiah Hull

Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers

Charlie Gerard

SQL Server 2019 AlwaysOn: Supporting 24x7 Applications with Continuous Uptime

Peter A. Carter

Applied Neural Networks with TensorFlow 2: API Oriented Deep Learning with Python

Orhan Gazi Yalçın

Pro Microsoft Power BI Administration: Creating a Consistent, Compliant, and Secure Corporate Platform for Business Intelligence

Ásgeir Gunnarsson, Michael Johnson

Getting Structured Data from the Internet: Running Web Crawlers/Scrapers on a Big Data Production Scale

Jay M. Patel

Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient

Tanay Agrawal

Data Management at Scale

Piethein Strengholt

SQL Cookbook, 2nd Edition

Anthony Molinaro, Robert de Graaf

What Is a Data Lake?

Alex Gorelik

What Is MLOps?

Mark Treveil, Lynn Heidmann

Deep Learning for Vision Systems

Mohamed Elgendy

Graph Databases in Action

Dave Bechberger, Josh Perryman

Big Data

Learn TensorFlow Enterprise

Codeless Deep Learning with KNIME

Mastering PostgreSQL 13 - Fourth Edition

Modern Computer Vision with PyTorch

SAS Graphics for Clinical Trials by Example

Blown to Bits: Your Life, Liberty, and Happiness After the Digital Explosion, 2nd Edition

Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, 2nd Edition

Dursun Delen

Artificial Intelligence for Business, 2nd Edition

Database Design for Mere Mortals: 25th Anniversary Edition, 4th Edition

Michael J. Hernandez

SUSE and IBM Power Systems for SAP HANA

Author
Release Date 2020/11
For organizations charting their way forward in today's digital economy, the clear imperative is to find better ways of extracting more value from data. By gleaning insight from data regarding customer preferences and business operations, organizations can respond to demand more effectively and bet....
Recent Advancements in Graph Theory

Author
Release Date 2020/11
Graph Theory is a branch of discrete mathematics. It has many applications to many different areas of Science and Engineering. This book provides the most up-to-date research findings and applications in Graph Theory.This book focuses on the latest research in Graph Theory. It provides recent findin....
Exposed

Author
Release Date 2020/11
Discover why privacy is a counterproductive, if not obsolete, concept in this startling new bookIt's only a matter of time-- the modern notion of privacy is quickly evaporating because of technological advancement and social engagement. Whether we like it or not, all our actions and communications ....
Beyond Diversification: What Every Investor Needs to Know About Asset Allocation

Author Sebastien Page
Release Date 2020/11
Generate solid, long-term profits with a portfolio allocated for your investing needs Asset allocation is the key to investing performance. Unfortunately, no single approach works perfectly—developing the right balance requires a clear-eyed look at the many models avail....
Machine Learning in the Oil and Gas Industry : Including Geosciences, Reservoir Engineering, and Production Engineering with Python

Author Yogendra Narayan Pandey , Ayush Rastogi , Sribharath K
Release Date 2020/11
Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. T....
Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects

Author Poornachandra Sarang
Release Date 2020/11
Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.After learning what's new in TensorFlow 2, you'l....
Practical Azure SQL Database for Modern Developers: Building Applications in the Microsoft Cloud

Author Davide Mauri , Silvano Coriani , Anna Hoffman
Release Date 2020/11
Here is the expert-level, insider guidance you need on using Azure SQL Database as your back-end data store. This book highlights best practices in everything ranging from full-stack projects to mobile applications to critical, back-end APIs. The book provides instruction....
Machine Learning for Economics and Finance in TensorFlow 2: Deep Learning Models for Research and Industry

Author Isaiah Hull
Release Date 2020/11
Find solutions to problems in economics and finance using tools from machine learning. ML has taken time to move into the space of academic economics. This is because empirical work in economics is concentrated on the identification of causal relationships in parsimonious....
Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers

Author Charlie Gerard
Release Date 2020/11
Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications. You’ll learn not only theory, but also dive into code samples and example projects with Tens....
SQL Server 2019 AlwaysOn: Supporting 24x7 Applications with Continuous Uptime

Author Peter A. Carter
Release Date 2020/11
Get a fast start to using AlwaysOn, the SQL Server solution to high-availability and disaster recovery. This third edition is newly-updated to cover the 2019 editions of both SQL Server and Windows Server and includes strong coverage of implementing AlwaysOn Availability ....
Applied Neural Networks with TensorFlow 2: API Oriented Deep Learning with Python

Author Orhan Gazi Yalçın
Release Date 2020/11
Implement deep learning applications using TensorFlow while learning the “why” through in-depth conceptual explanations. You’ll start by learning what deep learning offers over other machine learning models. Then familiarize yourself with several technologies ....
Pro Microsoft Power BI Administration: Creating a Consistent, Compliant, and Secure Corporate Platform for Business Intelligence

Author Ásgeir Gunnarsson , Michael Johnson
Release Date 2020/11
Manage Power BI within organizations. This book helps you systematize administration as Microsoft shifts Power BI from a self-service tool to an enterprise tool. You will learn best practices for many Power BI administrator tasks. And you will know how to manage artifacts....
Getting Structured Data from the Internet: Running Web Crawlers/Scrapers on a Big Data Production Scale

Author Jay M. Patel
Release Date 2020/11
Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it ....
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient

Author Tanay Agrawal
Release Date 2020/11
Dive into hyperparameter tuning of machine learning models and focus on what hyperparameters are and how they work. This book discusses different techniques of hyperparameters tuning, from the basics to advanced methods.This is a step-by-step guide to hyperparameter optim....
Data Management at Scale

Author Piethein Strengholt
Release Date 2020/11
The amount of data generated is growing tremendously in size and complexity. As trends in data management and integration, such as cloud, API management, microservices, open data, software as a service (SaaS), and new software delivery models, continue to evolve ra....
SQL Cookbook, 2nd Edition

Author Anthony Molinaro , Robert de Graaf
Release Date 2020/11
You may know SQL basics, but are you taking advantage of its expressive power? The new edition of this cookbook applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data. Based on real-world examples, this....
What Is a Data Lake?

Author Alex Gorelik
Release Date 2020/11
A revolution is occurring in data management regarding how data is collected, stored, processed, governed, managed, and provided to decision makers. The data lake is a popular approach that harnesses the power of big data and marries it with the agility of self-service. W....
What Is MLOps?

Author Mark Treveil , Lynn Heidmann
Release Date 2020/11
For years, organizations have struggled to move data science, machine learning, and AI projects from the realm of experimental to having real business impact. One reason is because pivoting operations around these technologies involves more than just technology--the orche....
Deep Learning for Vision Systems

Author Mohamed Elgendy
Release Date 2020/11
How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand h....
Graph Databases in Action

Author Dave Bechberger , Josh Perryman
Release Date 2020/11
Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development. Discover use cases involving social networking, recommendatio....
Big Data

Author
Release Date 2020/11
Manipulating and processing masses of digital data is never a purely technical activity. It requires an interpretative and exploratory outlook – already well known in the social sciences and the humanities – to convey intelligible results from data analysis algorithms and create new kn....
Learn TensorFlow Enterprise

Author
Release Date 2020/11
Use TensorFlow Enterprise with other GCP services to improve the speed and efficiency of machine learning pipelines for reliable and stable enterprise-level deploymentKey FeaturesBuild scalable, seamless, and enterprise-ready cloud-based machine learning applications using TensorFlow EnterpriseDisco....
Codeless Deep Learning with KNIME

Author
Release Date 2020/11
Discover how to integrate KNIME Analytics Platform with deep learning libraries to implement artificial intelligence solutionsKey FeaturesBecome well-versed with KNIME Analytics Platform to perform codeless deep learningDesign and build deep learning workflows quickly and more easily using the KNIME....
Mastering PostgreSQL 13 - Fourth Edition

Author
Release Date 2020/11
Explore expert techniques such as advanced indexing and high availability to build scalable, reliable, and fault-tolerant database applications using PostgreSQL 13Key FeaturesMaster advanced PostgreSQL 13 concepts with the help of real-world datasets and examplesLeverage PostgreSQL's indexing featu....
Modern Computer Vision with PyTorch

Author
Release Date 2020/11
Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questionsKey FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand the theory and working mechanisms of neural netw....
SAS Graphics for Clinical Trials by Example

Author
Release Date 2020/11
Create industry-compliant graphs with this practical guide for professionals Analysis of clinical trial results is easier when the data is presented in a visual form. However, clinical graphs must conform to specific guidelines in order to satisfy regulatory agency requirements. If you are a progra....
Blown to Bits: Your Life, Liberty, and Happiness After the Digital Explosion, 2nd Edition

Author
Release Date 2020/12
What you must know to protect yourself todayThe digital technology explosion has blown everything to bits--and the blast has provided new challenges and opportunities. This second edition of Blown to Bits delivers the knowledge you need to take greater control of your information environment and thr....
Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, 2nd Edition

Author Dursun Delen
Release Date 2020/12
Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practiti....
Artificial Intelligence for Business, 2nd Edition

Author
Release Date 2020/12
Millions of non-technical professionals and leaders want to understand Artificial Intelligence (AI) and Machine Learning (ML) — whether to improve their businesses, be more effective citizens, consumers or policymakers, or just out of sheer curiosity. Until now, most books on the subject have either....
Database Design for Mere Mortals: 25th Anniversary Edition, 4th Edition

Author Michael J. Hernandez
Release Date 2020/12
The #1 Easy, Commonsense Guide to Database DesignNow UpdatedForeword by Michelle Poolet, Mount Vernon Data Systems LLCMichael J. Hernandezs best-selling Database Design for Mere Mortals has earned worldwide respect as the simplest way to learn relational database design. ....

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