A reference guide focusing on managing the data for your machine learning practice — In this e-book, we provide insights and practical guides for the core part of machining learning practice: data processing.
Other content in this Stream
A startup and VC perspective on the evolution of Machine Learning Operations, or MLOps.
Find out how leading startups achieve fast, efficient, measurable results with machine learning.
Learn how to define your target audience and estimate your market size on various channels prior to launch.
We’ll show you how to grow your fundraising pipeline, get your pitch deck in front of the right people, and build the runway you need for your company to take off.
28:28Chase Emanuel, Business Development Manager at Carta, explains how a day one approach to your cap tables will help you win.
41:00Building a minimum viable product (MVP) is something all startups do, but it's an unusual process. Unlike a prototype, MVPs focus your build on the necessary features first so you can get to market qu
11:01In the first episode of Fintech Snacks, we discuss how Amazon Textract can fuel your document processing pipelines and how a Hong Kong-based Fintech helps banks extract financial insights using deep l
41:40As your startup grows, you develop new application features and services to meet the needs of your customers. To accelerate development, you need architectures that allow fast iteration without rewrit
57:46Cash burn is always a hot topic for startups, and late-stage, funded ventures especially need to keep tabs on budget as they ramp up. AWS offers tools to make cost management, budget tracking and cost
8:20Learn the fundamentals of building a cybersecurity app in AWS, including best practices for securing APIs, analyzing security threat data, and running your security scripts at scale.
13:05Structured correctly, containerization is a streamlined way to scale your startup and a cost-efficient method for deployment. We’ll show you how to get the most out of AWS container services no matter
