1609665614
Essentials of TensorFlow - Learn how to use tf.data.Dataset pipelines
#tensorflow #python #keras #machine-learning #data-science #tutorial
What is GEEK
Buddha Community
1620466520
Your Data Architecture: Simple Best Practices for Your Data Strategy
If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.
In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.
#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition
1610129697
Essentials of TensorFlow - Learn how to use tf.data.Dataset pipelines
#python #machine-learning #data-science #tensorflow #keras #deep-learning
1615970748
Create Efficient Data Pipelines with TFDS and tf.Data
Let’s get these clear, existing Datasets aren’t enough
While most Machine Learning programmers start with common open-source datasets like MNIST or CIFAR-10, and that’s all well and good, but to expand your horizon, and solve problems, you need to go beyond these and get your own data. While the collection of data may or may not be too hard, most people find difficulties in making this data ready for training. This is mostly because of the large number of intermediate steps like format conversion (usually for Computer Vision), Tokenizing (for NLP) and the general steps of Data Augmentation, Shuffling etc.
To make this process easier, let’s first understand this process of getting a Dataset ready.
#data #keras #data-pipeline #tensorflow #tensorflow-dataset
1620629020
Getting Started With Data Lakes
Frameworks for Efficient Enterprise Analytics
The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.
This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.
Introduction
As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).
This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.
#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management
1609665614
Essentials of TensorFlow - Learn how to use tf.data.Dataset pipelines
#tensorflow #python #keras #machine-learning #data-science #tutorial