Mastering Machine Learning

April 18, 2018

This ebook builds on Machine Learning with MATLAB, which reviewed machine learning basics and introduced supervised and unsupervised techniques. Using a heart sounds classifier as an example, we take you through the complete workflow for developing a real-world machine learning application, from loading data to deploying a trained model. For each training phase, we demonstrate the techniques that are critical to achieving accurate models, and help you master the more challenging training tasks, including selecting algorithms, optimizing model parameters, and avoiding overfitting. In this ebook you’ll also learn how to turn a model into a predictive tool by training it on new data, extracting features, and generating code for deployment on an embedded device.

Spotlight

OpenSensors

OpenSensors provides the next generation Smart Building Management System. We enable organisations to understand the usage of building space, desks, meeting rooms, shared workspaces and environmental conditions in order to design and manage complex office environments using data. We put customers in control to optimise and manage their workplace strategies by giving them a complete picture of space occupancy to make important change decisions and improve the wellbeing of employees.

OTHER WHITEPAPERS
news image

The Intersection of Big Data, Data Governance and MDM

whitePaper | June 29, 2022

For (oh so many) years, we’ve been hearing about the “promise” of big data. Much of the buzz focused on getting people prepared for the onslaught of bigger data sets – and what IT needed to do to help the business make sense of this information.

Read More
news image

Business Benefits of Investing in Data Privacy Management Programs

whitePaper | January 20, 2023

Organizations increasingly recognize that accountability through the implementation of a data privacy management program (DPMP) is essential to operate effectively in the modern digital economy. For many years, the focus of organizations in implementing a DPMP has been mainly to achieve compliance with data protection requirements. Today, many organizations have undergone a shift in understanding and realize that a DPMP is as critical for risk management and compliance as it is for enabling data strategy, building customer trust, winning business, and attracting company investment.

Read More
news image

Fault-Tolerant Components on AWS

whitePaper | November 15, 2019

Fault-tolerance is the ability for a system to remain in operation even if some of the components used to build the system fail. Even with very conservative assumptions, a busy e-commerce site may lose thousands of dollars for every minute it is unavailable. This is just one reason why businesses and organizations strive to develop software systems that can survive faults. Amazon Web Services (AWS) provides a platform that is ideally suited for building fault-tolerant software systems. The AWS platform enables you to build fault-tolerant systems that operate with a minimal amount of human interaction and up-front financial investment.

Read More
news image

Replanteamiento del acceso a las aplicaciones gestión de una fuerza laboral moderna

whitePaper | February 26, 2020

El cambio de paradigma que se está extendiendo por el ámbito tecnológico y empresarial es cada día más evidente. La transición a cloud computing está llegando a su punto de inflexión. Las fusiones y adquisiciones han proliferado. Además, con un número cada vez mayor de usuarios finales que operan fuera del entorno empresarial, los departamentos de TI deben prestar servicio a un ecosistema de usuarios cada vez más diverso, distribuido y exigente

Read More
news image

The Blueprint for a Data Governance Program

whitePaper | August 25, 2022

Most organizations realize data governance is necessary - if not indispensable - for mitigating data risk while sustaining its longterm value. However, there’s still a fair amount of ambiguity around what exactly data governance is and how to best implement it. By definition, data governance is an enterprise-wide initiative for formalizing the processes, people, and protocols for using data. It reduces risk while increasing data’s ultimate value: consistent reusability for achieving mission critical objectives. Data governance is a strategic approach for creating unassailable trust in data throughout the enterprise.

Read More
news image

2022 EDUCAUSE Horizon Report® Data and Analytics Edition

whitePaper | September 16, 2022

With the 2022 data and analytics edition, we further expand our series of Horizon Reports to focus on an emerging area of practice that is driving institutional decision-making and strategic planning for the future—the trends, technologies, and practices that are shaping the world of postsecondary data and analytics. Based on a methodology that grounds the findings in the perspectives and expertise of a panel of leaders in higher education data and analytics, in this report we summarize the panel’s input on the major trends shaping higher education, including panelists’ reflections on the implications of this research for the future of higher education for particular institutional roles.

Read More

Spotlight

OpenSensors

OpenSensors provides the next generation Smart Building Management System. We enable organisations to understand the usage of building space, desks, meeting rooms, shared workspaces and environmental conditions in order to design and manage complex office environments using data. We put customers in control to optimise and manage their workplace strategies by giving them a complete picture of space occupancy to make important change decisions and improve the wellbeing of employees.

Events