Data Science 101

NOVEMBER 15, 2019

Microsoft Azure. Azure has become the cloud provider for the Salesforce marketing cloud. GitHub Actions for Azure go GA GitHub actions can now deploy databases and fire off pipelines in Azure Announcing FarmBeats All about using AI and ML on the farm. Amazon AWS. Amazon AWS. Google Cloud.

Cloud Data 96

Cloud Data Data Science Azure AWS 96

The MLOps Blog

MARCH 20, 2023

Long-term ML project involves developing and sustaining applications or systems that leverage machine learning models, algorithms, and techniques. An example of a long-term ML project will be a bank fraud detection system powered by ML models and algorithms for pattern recognition. 2 Ensuring and maintaining high-quality data.

ML 59

ML ML Machine Learning Machine Learning 59

Data Science 101

NOVEMBER 11, 2019

Microsoft Azure. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing. If you are at a University or non-profit, you can ask for cash and/or AWS credits. Amazon Web Services. Google Cloud.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

Data Science 101

DECEMBER 16, 2019

Azure Data Factory Preserves Metadata during File Copy When performing a File copy between Amazon S3, Azure Blob, and Azure Data Lake Gen 2, the metadata will be copied as well. Azure Database for MySQL now supports MySQL 8.0 This is the latest major version of MySQL Azure Functions 3.0 This is pretty cool.

Cloud Data 81

Cloud Data Data Science Azure Natural Language Processing 81

ODSC - Open Data Science

AUGUST 4, 2023

Recently, we spoke with Emily Webber, Principal Machine Learning Specialist Solutions Architect at AWS. She’s the author of “Pretrain Vision and Large Language Models in Python: End-to-end techniques for building and deploying foundation models on AWS.” And then I spent many years working with customers.

AWS 52

AWS Machine Learning Machine Learning Data Science 52

Mlearning.ai

JANUARY 28, 2023

From Sale Marketing Business 7 Powerful Python ML For Data Science And Machine Learning need to be use. This post will outline seven powerful python ml libraries that can help you in data science and different python ml environment. A python ml library is a collection of functions and data that can use to solve problems.

Machine Learning 52

Machine Learning Machine Learning Data Science ML 52

Mlearning.ai

APRIL 28, 2023

But there are some strategies that artificial intelligence(AI) developers can implement to optimize and decrease execution time for Python machine learning (ML) models, for instance: Using binary formats for saving models Saving machine learning models in binary formats like .pkl, Photo by depositphotos Binary formats in ml models like .pkl,

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ML ML Python Machine Learning 52

ODSC - Open Data Science

MAY 5, 2023

Microsoft Azure As one of the most popular data science cloud options, Microsoft Azure is designed for AI. With more than 200 products and services under its belt, and its speed, flexibility, and affordability options, Azure is popular for a reason. Azure is also compatible with its massive library of other services as well.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

AWS Machine Learning Blog

APRIL 18, 2023

Amazon Kendra is an intelligent search service powered by machine learning (ML), enabling organizations to provide relevant information to customers and employees, when they need it. The solution consists of the following steps: Create and configure an app on Microsoft Azure Portal and get the authentication credentials. data source.

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AWS Azure Machine Learning Machine Learning 70

The MLOps Blog

NOVEMBER 30, 2022

In this article, you will learn about: the challenges plaguing the ML space and why conventional tools are not the right answer to them. ML model versioning: where are we at? Different tools: Your repository consists of multiple tools, libraries, and infrastructure providers like Azure, AWS, and GCP.

ML 52

ML ML Machine Learning Machine Learning 52

The MLOps Blog

JANUARY 23, 2023

Dolt LakeFS Delta Lake Pachyderm Git-like versioning Database tool Data lake Data pipelines Experiment tracking Integration with cloud platforms Integrations with ML tools Examples of data version control tools in ML DVC Data Version Control DVC is a version control system for data and machine learning teams. DVC Git LFS neptune.ai

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ML ML Data Lakes Machine Learning 52

Data Science 101

NOVEMBER 29, 2019

Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. Use Amazon Sagemaker to add ML predictions in Amazon QuickSight Amazon QuickSight, the AWS BI tool, now has the capability to call Machine Learning models.

Cloud Data 115

Cloud Data Data Science Machine Learning Machine Learning 115

ODSC - Open Data Science

JANUARY 10, 2024

Takeaways include: The dangers of using post-hoc explainability methods as tools for decision-making, and where traditional ML falls short. Participants will walk away with a solid grasp of feature stores, equipped with the knowledge to drive meaningful insights and enhancements in their real-world ML platforms and projects.

ML 52

ML ML Deep Learning Deep Learning 52

Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube BECOME a WRITER at MLearning.ai // Try These FREE ML Tools Today! Happy learning. Originally published at [link].

Natural Language Processing 52

Natural Language Processing ML ML Support Vector Machines 52

ODSC - Open Data Science

FEBRUARY 2, 2023

Machine Learning As machine learning is one of the most notable disciplines under data science, most employers are looking to build a team to work on ML fundamentals like algorithms, automation, and so on. As MLOps become more relevant to ML demand for strong software architecture skills will increase as well.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

O'Reilly Media

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. The top certification was for AWS (3.9%

AI 145

AI AI Azure AWS 145

AWS Machine Learning Blog

MAY 18, 2023

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. Basic knowledge of AWS. For more information, see Overview of access management: Permissions and policies.

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AWS Database ML ML 76

Snorkel AI

OCTOBER 18, 2023

From onboarding new customers to analyzing pictures or videos of damages for evaluation, machine learning (ML) and AI offer exciting possibilities for optimization and cost-saving across the insurance industry. Insurance claims processing has long required a lot of tedious and expensive human labor, but artificial intelligence (AI) can help.

AI 64

AI AI Machine Learning Machine Learning 64

Snorkel AI

OCTOBER 18, 2023

From onboarding new customers to analyzing pictures or videos of damages for evaluation, machine learning (ML) and AI offer exciting possibilities for optimization and cost-saving across the insurance industry. Insurance claims processing has long required a lot of tedious and expensive human labor, but artificial intelligence (AI) can help.

AI 59

AI AI Machine Learning Machine Learning 59

Dataconomy

JUNE 16, 2023

The cloud DLP solution from Gamma AI has the highest data detection accuracy in the market and comes packed with ML-powered data classification profiles. Customers can benefit from the people-centric security solutions offered by Gamma AI’s AI-powered cloud DLP solution. How to counter the most risky cloud computing threats?

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AI AI Natural Language Processing Data Classification 193

Mlearning.ai

MAY 23, 2023

Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus. Check this course to upskill on AWS —  [link] Domain Knowledge Having expertise in a specific industry domain, such as finance, healthcare, or marketing, can be advantageous. in these fields.

Data Science 52

Data Science Data Scientist Apache Hadoop Machine Learning 52

Data Science Dojo

FEBRUARY 20, 2023

Machine learning (ML) is the technology that automates tasks and provides insights. It comes in many forms, with a range of tools and platforms designed to make working with ML more efficient. It features an ML package with machine learning-specific APIs that enable the easy creation of ML models, training, and deployment.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

Towards AI

APRIL 27, 2023

Nothing in the world motivates a team of ML engineers and scientists to spend the required amount of time in data annotation and labeling. There are a lot more complexities at this stage. You can read a very famous publication by the Google research team titled “Everyone wants to do the model work, not the data work”.

Data Preparation 91

Data Preparation ML ML AI 91

ODSC - Open Data Science

MAY 1, 2023

Hagay Lupesko VP Engineering, MosaicML | Expert in Generative AI Training and Inference, Former Leader at Meta AI and AWS In his role as VP of Engineering, Hagay Lupesko focuses on making generative AI training and inference efficient, fast, and accessible. Audrey Reznik Guidera Sr.

Data Science 52

Data Science Machine Learning Machine Learning Azure 52

ODSC - Open Data Science

APRIL 3, 2023

As a machine learning library, pandas is powerful for data analysis and manipulation, earning it a spot as the only ML library on the list. Cloud Services: Google Cloud Platform, AWS, Azure. These are powerful tools that can connect directly to data sources, can run complex analyses, and can output intricate dashboard reports.

Analytics 52

Analytics Analytics Data Analyst SQL 52

Snorkel AI

OCTOBER 4, 2023

Artificial intelligence and machine learning (AI/ML) offer new avenues for credit scoring solutions and could usher in a new era of fairness, efficiency, and risk management. Fortunately, financial institutions and credit bureaus are already using ML and AI to make credit scoring more efficient and accurate.

AI 64

AI AI ML ML 64

Snorkel AI

OCTOBER 4, 2023

Artificial intelligence and machine learning (AI/ML) offer new avenues for credit scoring solutions and could usher in a new era of fairness, efficiency, and risk management. Fortunately, financial institutions and credit bureaus are already using ML and AI to make credit scoring more efficient and accurate.

AI 59

AI AI ML ML 59

Mlearning.ai

JUNE 23, 2023

Relational databases (like MySQL) or No-SQL databases (AWS DynamoDB) can store structured or even semi-structured data but there is one inherent problem. Integration with ML Systems: Vector databases often integrate seamlessly with machine learning pipelines and workflows. A database that help index and search at blazing speed.

Database 52

Database ML ML Natural Language Processing 52

ODSC - Open Data Science

FEBRUARY 17, 2023

TensorFlow is desired for its flexibility for ML and neural networks, PyTorch for its ease of use and innate design for NLP, and scikit-learn for classification and clustering. AWS Cloud, Azure Cloud, and others are all compatible with many other frameworks and languages, making them necessary for any NLP skill set.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

ODSC - Open Data Science

JUNE 8, 2023

In-person on Tuesday, we had keynotes from Ted Kwartler, Field/Chief Technology Officer at DataRobot, where he discussed Predict-GPT and AGI, and also Hagey Lupesko, VP of Engineering at MosaicML and Jay Jackson, VP of AI/ML at Oracle, where they teamed up to talk about why LLMs aren’t out of reach for companies of any side.

Data Science 52

Data Science Machine Learning Machine Learning ML 52

The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. How do I develop my body of work?

ML 52

ML ML Data Scientist Machine Learning 52

Snorkel AI

JUNE 23, 2023

Snorkel AI recently hosted a two-day conference where experts from Fortune 500 enterprises, AI providers, and ML researchers along with thousands of data scientists discussed challenges, opportunities, and solutions to adopt LLMs for enterprise use. The biggest blocker, it seems, continues to be labeled data. Catch the sessions you missed!

Data Science 64

Data Science Machine Learning Machine Learning Data Scientist 64

Snorkel AI

JUNE 23, 2023

Snorkel AI recently hosted a two-day conference where experts from Fortune 500 enterprises, AI providers, and ML researchers along with thousands of data scientists discussed challenges, opportunities, and solutions to adopt LLMs for enterprise use. The biggest blocker, it seems, continues to be labeled data. Catch the sessions you missed!

Data Science 64

Data Science Machine Learning Machine Learning Data Scientist 64

Mlearning.ai

JULY 11, 2023

For example, when it comes to deploying projects on cloud platforms, different companies may utilize different providers like AWS, GCP, or Azure. Therefore, having proficiency in a specific cloud platform, such as Azure, does not mean you will exclusively work with that platform in the industry.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40

Smart Data Collective

AUGUST 2, 2022

Working with Grape Up, the automotive industry can leverage the most popular cloud services providers: AWS, Azure, Kubernetes, Google Cloud, Alibaba, and OpenStack. With a scalable ecosystem, automotive companies can ensure seamless connectivity and implement V2X solutions.

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AI AI Artificial Intelligence Artificial Intelligence 128

IBM Journey to AI blog

FEBRUARY 2, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. In today’s world, data warehouses are a critical component of any organization’s technology ecosystem.

Data Warehouse 57

Data Warehouse Cloud Data Database Analytics 57

AWS Machine Learning Blog

FEBRUARY 29, 2024

Amazon SageMaker Studio offers a comprehensive set of capabilities for machine learning (ML) practitioners and data scientists. These include a fully managed AI development environment with an integrated development environment (IDE), simplifying the end-to-end ML workflow.

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AWS AI AI Data Scientist 102