- Using Datawig, an AWS Deep Learning Library for Missing Value Imputation - Dec 7, 2021.
A lot of missing values in the dataset can affect the quality of prediction in the long run. Several methods can be used to fill the missing values and Datawig is one of the most efficient ones.
AWS, Data Preparation, Data Preprocessing, Deep Learning, Missing Values
- eBook: 101 Ways to Use Third-Party Data to Make Smarter Decisions - Nov 18, 2021.
To guide you in becoming a data-driven organization, AWS Data Exchange has created a new eBook, 101 Ways to Use Third-Party Data to Make Smarter Decisions. Learn how to transform the ‘currency’ of data into actionable business insights.
AWS, Business, Free ebook
- Build a Serverless News Data Pipeline using ML on AWS Cloud - Nov 18, 2021.
This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.
AWS, NLP, Pipeline, Python, Sagemaker, Text Summarization
- The Best Ways for Data Professionals to Market AWS Skills in 2022 - Nov 5, 2021.
Knowing your way around Amazon Web Services (AWS) is increasingly useful. Here are five ways to market your AWS skills in today’s job market.
AWS, Career Advice, Data Science Skills, Data Scientist
- Deploying Serverless spaCy Transformer Model with AWS Lambda - Oct 22, 2021.
A step-by-step guide on how to deploy NER transformer model serverless.
AWS, Deployment, NLP, spaCy, Transformer
- Amazon Web Services Webinar: Leverage data sets to create a customer-centric strategy and improve business outcomes - Oct 14, 2021.
Register now for this webinar, Oct 28, to learn how using third-party data enhances applications to better prioritize your target customer - helping you build a more customer-centric business.
AWS, Business, Customer Analytics, Webinar
- Amazon Web Services Webinar: Boost customer satisfaction and sales with consumer insights data - Sep 14, 2021.
Join this webinar, Sep 27, to learn how to leverage external data to understand market needs and consumer behavior – helping you build a more customer-centric business.
AWS, Consumer Analytics, Data Analytics, Marketing
- eBook: A Practical Guide to Using Third-Party Data in the Cloud - Sep 2, 2021.
Download this eBook to learn how innovative teams are shifting their focus from data-driven business intelligence to accelerating insight-driven decision-making and now are turning to third-party datasets as a differentiator.
AWS, Cloud Computing, ebook
- Amazon Web Services Webinar: Accelerating clinical trial and biomedical development processes with healthcare data - Aug 18, 2021.
Join this webinar on August 27 to learn how to leverage external healthcare datasets to make faster decisions with greater accuracy – accelerating biomedical development and improving patient welfare.
AWS, Healthcare, IBM
- Development & Testing of ETL Pipelines for AWS Locally - Aug 2, 2021.
Typically, development and testing ETL pipelines is done on real environment/clusters which is time consuming to setup & requires maintenance. This article focuses on the development and testing of ETL pipelines locally with the help of Docker & LocalStack. The solution gives flexibility to test in a local environment without setting up any services on the cloud.
AWS, Data Engineering, ETL, Pipeline
- AWS Webinar: How are data-driven companies using ESG and sustainability data to make actionable decisions? - Jul 15, 2021.
In this virtual session, on Jul 29 @ 11AM PT, 2PM ET, our panel of experts will uncover how companies across several verticals use ESG data to move beyond the reporting benchmark, deepen business insights, and create competitive differentiation.
AWS, Data Visualization, Sustainability, Webinar
- How to speed up a Deep Learning Language model by almost 50X at half the cost - Jun 9, 2021.
In this blog post, we show how to accelerate fine-tuning the ALBERT language model while also reducing costs by using Determined’s built-in support for distributed training with AWS spot instances.
AWS, Deep Learning, Distributed Computing, Hugging Face, NLP
- The Most In Demand Skills for Data Engineers in 2021 - May 18, 2021.
If you are preparing to make a career in data or are looking for opportunities to skill-up in your current data-centric role, then this analysis of in-demand skills for 2021, based on over 17,000 Data Engineer job postings, should offer you a good idea as to which programming languages and software tools are increasing and decreasing in importance.
Apache Spark, AWS, Data Engineer, Data Science Skills, Data Scientist, Python, Skills, SQL
The Most In-Demand Skills for Data Scientists in 2021 - Apr 15, 2021.
If you are preparing to make a career as a Data Scientist or are looking for opportunities to skill-up in your current role, this analysis of in-demand skills for 2021, based on over 15,000 Data Scientist job postings, should offer you a good idea as to which programming languages and software tools are increasing and decreasing in importance.
AWS, Data Science Skills, Python, PyTorch, R, scikit-learn, SQL, TensorFlow
Cloud Computing, Data Science and ML Trends in 2020–2022: The battle of giants - Jan 22, 2021.
Kaggle’s survey of ‘State of Data Science and Machine Learning 2020’ covers a lot of diverse topics. In this post, we are going to look at the popularity of cloud computing platforms and products among the data science and ML professionals participated in the survey.
AWS, Cloud Computing, Data Science, Google Cloud, Kaggle, Machine Learning, Microsoft Azure, Trends
- Kubernetes vs. Amazon ECS for Data Scientists - Nov 19, 2020.
In this article, we’ll look at two container management solutions — Kubernetes and Amazon Elastic Container Service (ECS) — from a perspective that makes sense for aspiring and current data scientists.
Amazon, AWS, Containers, Data Science, Data Scientist, Kubernetes
How to Acquire the Most Wanted Data Science Skills - Nov 13, 2020.
We recently surveyed KDnuggets readers to determine the "most wanted" data science skills. Since they seem to be those most in demand from practitioners, here is a collection of resources for getting started with this learning.
Algorithms, Amazon, Apache Spark, AWS, Computer Vision, Data Science, Data Science Skills, Deep Learning, Docker, NLP, NoSQL, PyTorch, Reinforcement Learning, TensorFlow
- Deploying Secure and Scalable Streamlit Apps on AWS with Docker Swarm, Traefik and Keycloak - Oct 23, 2020.
If you are a data scientist who just wants to get the work done but doesn’t necessarily want to go down the DevOps rabbit hole, this tutorial offers a relatively straightforward deployment solution leveraging Docker Swarm and Traefik, with an option of adding user authentication with Keycloak.
AWS, Deployment, Docker, Scalability, Security, Streamlit
- Unifying Data Pipelines and Machine Learning with Apache Spark™ and Amazon SageMaker - Aug 25, 2020.
Roll up your sleeves and charge up because you’re invited to an interactive, virtual Machine Learning workshop run by Amazon Web Services, Databricks, and Immuta on September 10.
Apache Spark, AWS, Immuta, Sagemaker, Webinar
Deploy Machine Learning Pipeline on AWS Fargate - Jul 3, 2020.
A step-by-step beginner’s guide to containerize and deploy ML pipeline serverless on AWS Fargate.
AWS, Docker, Kubernetes, Machine Learning, Pipeline, PyCaret
- Build Dog Breeds Classifier Step By Step with AWS Sagemaker - Jun 17, 2020.
This post takes you through the basic steps for creating a cloud-based deep learning dog classifier, with everything accomplished from the AWS Management Console.
AWS, Dogs, Image Classification, Image Recognition, Sagemaker
- Deploying a pretrained GPT-2 model on AWS - Dec 12, 2019.
This post attempts to summarize my recent detour into NLP, describing how I exposed a Huggingface pre-trained Language Model (LM) on an AWS-based web application.
AWS, Deployment, GPT-2, Natural Language Generation, NLP
Understanding Cloud Data Services - Jun 24, 2019.
Ready to move your systems to a cloud vendor or just learning more about big data services? This overview will help you understand big data system architectures, components, and offerings with an end-to-end taxonomy of what is available from the big three cloud providers.
AWS, Cloud Computing, Google Cloud, Microsoft Azure
- DynamoDB vs. Cassandra: from “no idea” to “it’s a no-brainer” - Aug 23, 2018.
DynamoDB vs. Cassandra: have they got anything in common? If yes, what? If no, what are the differences? We answer these questions and examine performance of both databases.
Amazon, Apache, AWS, Cassandra, DynamoDB
- IoT on AWS: Machine Learning Models and Dashboards from Sensor Data - Jun 15, 2018.
I developed my first IoT project using my notebook as an IoT device and AWS IoT as infrastructure, with this "simple" idea: collect CPU Temperature from my Notebook running on Ubuntu, send to Amazon AWS IoT, save data, make it available for Machine Learning models and dashboards.
AWS, Dashboard, IoT, Machine Learning, Rubens Zimbres
- Cloud Computing Key Terms, Explained - Jun 9, 2016.
A concise overview of 20 core cloud computing ecosystem concepts. The focus here is on the terminology, not The Big Picture.
Pages: 1 2
AWS, Cloud, Cloud Computing, Explained, Key Terms, PaaS, SaaS
- Hadoop as a Service: 18 Cloud Options - Apr 2, 2015.
Hadoop as a service in the cloud makes big data applications and projects easier to approach and these 18 platforms each provide their own unique solutions.
AWS, Big Data Services, Cloud, Cloudera, Hadoop, Hortonworks, Information Management, MapR, Microsoft Azure
