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Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
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Approx. 19 hours to complete
Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. Lab session: Mapping Data with Folium Application: Consumption data and earning surprises...
Building Cloud Services with the Java Spring Framework
by Dr. Jules White , Dr. Douglas C. Schmidt- 4.3
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Approx. 14 hours to complete
Securely Handling Client Data & Avoiding Injection Attacks Accepting Client Data with RequestParam Annotations Accepting Client Data with PathVariable Annotations Accepting Client Data with Request Body Annotations & JSON Handling Multipart Data Spring Data Code Walkthrough Spring Data REST Code Walkthrough Spring Data REST Spring Data Mongo DB...
Parallel programming
by Prof. Viktor Kuncak , Dr. Aleksandar Prokopec- 4.4
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Approx. 33 hours to complete
In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. - reason about task and data parallel programs, Data Operations and Parallel Mapping Data Structures for Parallel Computing Conc-tree Data Structure...
Parallel programming
by Prof. Viktor Kuncak , Dr. Aleksandar Prokopec- 4.4
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Approx. 33 hours to complete
In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. - reason about task and data parallel programs, Data Operations and Parallel Mapping Data Structures for Parallel Computing Conc-tree Data Structure...
Planning for your G Suite Deployment
by Google Cloud Training- 4.8
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Approx. 5 hours to complete
You will focus on the core technical project areas of provisioning, mail flow, data migration and coexistence. - Describe how to migrate mail, calendar and contacts data using G Suite Migration for Microsoft Exchange (GSMME). Introduction to Data Migration Data Migration during a G Suite Deployment Data Migration Strategy Data Migration...
Planning for a Google Workspace Deployment
by Google Cloud Training- 4.8
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Approx. 5 hours to complete
You will focus on the core technical project areas of provisioning, mail flow, data migration and coexistence. - Describe how to migrate mail, calendar and contacts data using Google Workspace Migration for Microsoft Exchange (GWMME). Introduction to Data Migration Data Migration during a Google Workspace Deployment Data Migration Strategy Data Migration...
AI Workflow: Feature Engineering and Bias Detection
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 12 hours to complete
Explain the ethical considerations regarding bias in data Use topic modeling and visualization to explore text data Employ outlier handling best practices in high dimension data This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
Reproducible Research
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.6
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Approx. 8 hours to complete
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. Structure of a Data Analysis (part 1)...
Data Structures & Algorithms in Swift
by Brynn Claypoole , Horatio Thomas- 0.0
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Approx. 4 weeks
In this course, you'll review common Swift data structures and algorithms. This course is ideal for you if you've never taken a course in data structures or algorithms....
Free
Audio digital con Pure Data
by Hernani Villaseñor Ramírez , Jorge David García- 4.8
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Approx. 10 hours to complete
Introducción a Pure Data Modelado de onda en Pure Data Modelado de ondas en Pure Data Síntesis digital en Pure Data Instalación de objetos externos en Pure Data Grabar, reproducir, procesar y manipular audio en Pure data Optimización, organización y comunicación de patches en Pure Data Optimización del espacio de trabajo en Pure Data...
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