Bratin Saha on How SageMaker is Advancing Machine Learning
Bratin Saha, VP and General Manager, Machine Learning Services, AWS, discusses how the cloud has enabled machine learning, and focuses on SageMaker’s ability to ease ML deployment.
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Dataiku End-to-End Demo
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Frank
- August 31, 2021
- ai applications
- ai ethics
- AI Use Cases
- Analytics
- Auto ML
- Automation
- AutoML
- Big Data
- Conference
- Data
- Data Analyst
- Data Analytics
- Data Best Practices
- Data Engineering
- Data Ethics
- Data Science
- Dataiku Product Demo
- DSS Application
- DSS Concept
- Enterprise AI
- Free Training
- Machine Learning
- product
- Tech
- Tech Conference
This demo uses a project that predicts flight delays to demonstrate connecting to data, preparing and enriching it, building machine learning models, and operationalizing your work entirely in Dataiku.
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Dealing With Big Data – Computerphile
Big Data sounds may be a buzz word, and is hard to quantify, but the problems with large data sets are very real. Dr Isaac Triguero explains some of the challenges.
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The Rise of AI and the Canadian Silicon Valley
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Frank
- April 13, 2021
- artificial intelligence
- artificial intelligence 2021
- artificial intelligence documentary
- Artificial intelligence movie
- best documentary
- Big Data
- Business
- canada technology
- Deep Learning
- deep learning projects
- documentaries
- Documentary
- economy
- Finance
- free documentaries
- full documentaries
- hello world
- Machine Learning
- machine learning interview
- machine learning projects
- Neural Networks
- Silicon Valley
- tech industry canada
- technology canada
- youtube documentary
Here’s an interesting documentary (“Canada – The Rise of AI”, Ep. 11) on the “Canadian Silicon Valley.” Silicon Valley may be home to some of the biggest tech giants in the world but it’s being challenged like never before. Crazy tech geniuses have popped up all over the planet making things that will blow your […]
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The Most Important Topic in Machine Learning right now
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Frank
- February 19, 2021
- Big Data
- black box algorithm
- Data Science
- Machine Learning
- Machine Learning Algorithms
- machine learning hot topics
- machine learning trends
- model explainability
- model explainability and interpretability
- model explainability lime
- model explainability shap
- model explainability techniques
- model explainability tools
- the most important topic in machine learning
Karolina Sowinska discusses the most important topic in Machine Learning right now, namely model explainability. It is one of the hottest discussion points in the data community, because ultimately if we cannot understand how the models arrive at the predictions, it renders them useless in many practical applications.
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Apache Spark and Cassandra Integration
Big Data Engineering covers Apache Spark and Cassandra Integration in this insightful video.
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Overview of Azure Synapse Link featuring CosmosDB
In this video Chris Seferlis gives an overview of Azure Synapse Link, a newer feature of the Synapse Analytics Suite of tools. Find out why this feature is important, the way it moves Operational Data to Analytical Data, and what you can then do with it. More details about the service and some great tutorials […]
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Spark Executor & Driver Memory Calculation
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Frank
- January 23, 2021
- apache hadoop
- Apache Spark
- apache spark architecture
- apache spark rdd
- Big Data
- big data analysis
- big data engineering
- big data in tamil
- big data use cases
- create spark RDD
- driver memory
- executor memory
- hadoop in tamil
- num cores
- num executors
- spark architecture
- spark big data
- spark data frames
- spark executor memory
- spark framework overview
- spark memory
- spark memory calculation
- spark rdd
- spark standalone cluster
- spark submit
- what is big data
Big Data Engineering takes a closer look at Spark.
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Unboxing Spark Standalone Architecture
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Frank
- January 22, 2021
- apache hadoop
- apache hive
- Apache Spark
- apache spark architecture
- Big Data
- big data in tamil
- big data training
- Data Engineering
- Hadoop
- hadoop ecosystem
- hadoop framework
- hadoop in tamil
- hadoop overview
- hadoop training
- scala wordcount
- spark architecture
- spark big data
- spark data frames
- spark in tamil
- spark rdd
- spark standalone cluster
- Spark Streaming
- spark vs hadoop
- spark wordcount
- what is big data
- what is hadoop
Big Data Engineering closely examines Spark Standalone Architecture. Apache Spark has a well-defined layered architecture where all the spark components and layers are loosely coupled. This architecture is further integrated with various extensions and libraries. Apache Spark Architecture is based on two main abstractions: Resilient Distributed Dataset (RDD) Directed Acyclic Graph (DAG)
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Getting started with Spark Pools in Azure Synapse
Chris Seferlis introduce us to the newly added Apache Spark Pools in Azure Synapse Analytics for Big Data, Machine Learning, and Data Processing needs. From the description: I give an overview of what Spark is, and where it came from; why the Synapse Team added it to the suite of offering, and some sample workloads […]
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