As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease.
In today's world, organizations face a multitude of problems that require an unprecedented need for tools to share information and work better together.
Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage.
Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage.
"En la literatura se encuentran diversos medios que, según las investigaciones, facilitan o ayudan al proceso educativo, como los dispositivos móviles (tabletas y teléfonos) y los reproductores de música como medio de formación de los estudiantes; este proceso es conocido como Mobile Learning (M-Learning).
Finding Data Anomalies You Didn't Know to Look ForAnomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets.
Discover techniques to summarize the characteristics of your data using PyPlot, NumPy, SciPy, and pandasKey FeaturesUnderstand the fundamental concepts of exploratory data analysis using PythonFind missing values in your data and identify the correlation between different variablesPractice graphical exploratory analysis techniques using Matplotlib and the Seaborn Python packageBook DescriptionExploratory Data Analysis (EDA) is an approach to data analysis that involves the application of diverse techniques to gain insights into a dataset.
Get up and running with the fundamentals of Bitcoin and blockchainKey FeaturesLearn quick, effective, and easy ways to master blockchain and Bitcoin Understand the impact of decentralization and discover ways to tackle it Explore the future of Bitcoin and blockchain and implement them in a business networkBook DescriptionBlockchain is a distributed database that enables permanent, transparent, and secure storage of data.
Von einfachen Routineaufgaben bis zu komplexen Geschäftsprozessen – Automatisierung ohne Programmierkenntnisse- Sich wiederholende Aufgaben ganz einfach automatisieren- Geschäftsprozesse ohne manuelle Eingaben abwickeln- Flows mit Templates erstellen oder komplett neu entwerfen Die effiziente Verarbeitung von Informationen ist für den erfolgreichen Betrieb moderner Unternehmen von entscheidender Bedeutung.
Die professionelle Bearbeitung von Word-Manuskripten ist essenziell für die anschließende Weiterverarbeitung in Satzsystemen, für die Aufbereitung als E-Book oder für die Übernahme in XML.
Von einfachen Routineaufgaben bis zu komplexen Geschäftsprozessen – Automatisierung ohne Programmierkenntnisse- Sich wiederholende Aufgaben ganz einfach automatisieren- Geschäftsprozesse ohne manuelle Eingaben abwickeln- Flows mit Templates erstellen oder komplett neu entwerfen Die effiziente Verarbeitung von Informationen ist für den erfolgreichen Betrieb moderner Unternehmen von entscheidender Bedeutung.
Build your own robo-advisor in Python to manage your investments and get up and running in no timePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesExplore the use cases, workflow, and features that make up robo-advisorsLearn how to build core robo-advisor capabilities for goals, risk questions, portfolios, and projectionsDiscover how to operate the automated processes of a built and deployed robo-advisorBook DescriptionRobo-advisors are becoming table stakes for the wealth management industry across all segments, from retail to high-net-worth investors.
Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality.
Learn to construct state-of-the-art simulation models with Python and enhance your simulation modelling skills, as well as create and analyze digital prototypes of physical models with easeKey FeaturesUnderstand various statistical and physical simulations to improve systems using PythonLearn to create the numerical prototype of a real model using hands-on examplesEvaluate performance and output results based on how the prototype would work in the real worldBook DescriptionSimulation modelling is an exploration method that aims to imitate physical systems in a virtual environment and retrieve useful statistical inferences from it.
Learn the fundamentals of clean, effective Python coding and build the practical skills to tackle your own software development or data science projectsKey FeaturesBuild key Python skills with engaging development tasks and challenging activitiesImplement useful algorithms and write programs to solve real-world problemsApply Python in realistic data science projects and create simple machine learning modelsBook DescriptionHave you always wanted to learn Python, but never quite known how to start?
Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations.
Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud.
Application Performance Management (APM) in the Digital Enterprise enables IT professionals to be more successful in managing their company's applications.
Implement real-world machine learning in a microservices architecture as well as design, build, and deploy intelligent microservices systems using examples and case studiesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesDesign, build, and run microservices systems that utilize the full potential of machine learningDiscover the latest models and techniques for combining microservices and machine learning to create scalable systemsImplement machine learning in microservices architecture using open source applications with pros and consBook DescriptionWith the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems.
Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations.
A fascinating exploration of how the growth of digital mapping, spurred by sensing technologies, is affecting cities and daily lives What have smart technologies taught us about cities?
For ADB members in Asia and the Pacific, stronger tax systems are now more important than ever-to boost revenues enabling recovery from the economic shocks of COVID-19, and to reinforce implementation of Sustainable Development Goals.
Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMakerKey FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures for implementing ML at scale using HPCBook DescriptionMachine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications.
Add Data and Analytics to Your TD ToolkitInstructional design pro Megan Torrance addresses the importance of instructional designers accessing and applying learning and performance datafrom how to design learning experiences with data collection in mind to how to use the data to improve and evaluate those experiences.
Build your own robo-advisor in Python to manage your investments and get up and running in no timePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesExplore the use cases, workflow, and features that make up robo-advisorsLearn how to build core robo-advisor capabilities for goals, risk questions, portfolios, and projectionsDiscover how to operate the automated processes of a built and deployed robo-advisorBook DescriptionRobo-advisors are becoming table stakes for the wealth management industry across all segments, from retail to high-net-worth investors.
Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV)Key FeaturesBecome well-versed with best practices for implementing automated analytical computationsDiscover real-world examples to extend cloud intelligenceDevelop your skills by understanding edge analytics and applying it to research activitiesBook DescriptionEdge analytics has gained attention as the IoT model for connected devices rises in popularity.
Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key FeaturesA step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZA modern, practical and computational approach to Bayesian statistical modelingA tutorial for Bayesian analysis and best practices with the help of sample problems and practice exercises.
This book covers not only information protection in cloud computing, architecture and fundamentals, but also the plan design and in-depth implementation details needed to migrate existing applications to the cloud.
This book covers not only information protection in cloud computing, architecture and fundamentals, but also the plan design and in-depth implementation details needed to migrate existing applications to the cloud.
