Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

Database Administration Database Azure Cloud Computing 113

Mlearning.ai

APRIL 13, 2023

Azure Open AI GPT on Azure Synapse Analytics Serverless Sql to access parquet/delta files Pre-requisites Azure Account Azure synapse analytics Azure open ai service langchain 0.0.136 is the version sql works, 0.137 has breaking changes.

Azure 40

Azure SQL Database Analytics 40

O'Reilly Media

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases.

AI 145

AI AI Azure AWS 145

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

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. While knowing Python, R, and SQL are expected, you’ll need to go beyond that.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

ODSC - Open Data Science

OCTOBER 26, 2023

ODSC West is less than a week away and we can’t wait to bring together some of the best and brightest minds in data science and AI to discuss generative AI, NLP, LLMs, machine learning, deep learning, responsible AI, and more. With a Virtual Open Pass , you can be part of where the future of AI gathers for free.

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

ODSC - Open Data Science

APRIL 18, 2023

Confirmed sessions include: An Introduction to Data Wrangling with SQL with Sheamus McGovern, Software Architect, Data Engineer, and AI expert Programming with Data: Python and Pandas with Daniel Gerlanc, Sr. We will kick the conference off with Keynote talks from some of the best and brightest minds in data science and AI.

Data Science 98

Data Science Data Wrangling Machine Learning Machine Learning 98

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. The Modern Data Stack: Apache Spark, Google Bigquery, Oracle Database, Microsoft SQL Server, Snowflake The modern data stack continues to have a big impact, and data analytics roles are no exception.

Analytics 52

Analytics Analytics Data Analyst SQL 52

DataRobot Blog

MARCH 17, 2022

Today, I’m excited to introduce DataRobot AI Cloud 8.0 , the mission critical innovation to help every business better and more intelligently navigate the most unpredictable of markets with no-code solutions that deliver timely, continuous, and trusted insights from more of your data. DataRobot AI Cloud 8.0 DataRobot AI Cloud 8.0

AI 52

AI AI Machine Learning Machine Learning 52

ODSC - Open Data Science

JULY 22, 2023

The week was filled with engaging sessions on top topics in data science, innovation in AI, and smiling faces that we haven’t seen in a while. We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes. You can read the recap here and watch the full keynote here.

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Apache Kafka Machine Learning Machine Learning Data Science 52

Mlearning.ai

MAY 23, 2023

Familiarity with libraries like pandas, NumPy, and SQL for data handling is important. Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus. This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA).

Data Science 52

Data Science Data Scientist Apache Hadoop Machine Learning 52

ODSC - Open Data Science

AUGUST 24, 2023

ODSC West’s training passes include hundreds of hours of hands-on sessions and up to 12 months of complimentary access to our Ai+ Training platform. AI Design Studio Global Illumination Acquired by OpenAI New York-based AI start-up Global Illumination was acquired by AI-powered Chatbot ChatGPT maker OpenAI last week.

Data Lakes 52

Data Lakes Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

JUNE 8, 2023

The week was filled with engaging sessions on top topics in data science, innovation in AI, and smiling faces that we haven’t seen in a while. We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes.

Data Science 52

Data Science Machine Learning Machine Learning ML 52

ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Companies are finding NLP to be one of the best applications of AI regardless of industry. Knowing some SQL is also essential.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” While many of us dream of having a job in AI that doesn’t require knowing AI tools and skillsets, that’s not actually the case.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

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.

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Database ML ML Natural Language Processing 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

Pickl AI

MAY 17, 2023

For instance, calculus can help with optimising ML algorithms. Understand Databases: SQL is useful in handling structured data, query databases and prepare and experiment with data. Accordingly, SQL is deployed alongside Python and its libraries thus, requiring you to develop your skills in using SQL.

Data Scientist 52

Data Scientist Data Science Data Wrangling SQL 52

ODSC - Open Data Science

APRIL 6, 2023

Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL. But why is SQL, or Structured Query Language , so important to learn? Let’s start with the first clause often learned by new SQL users, the WHERE clause.

SQL 98

SQL Data Scientist Database Data Analysis 98

DagsHub

APRIL 21, 2024

A traditional machine learning (ML) pipeline is a collection of various stages that include data collection, data preparation, model training and evaluation, hyperparameter tuning (if needed), model deployment and scaling, monitoring, security and compliance, and CI/CD. What is MLOps?

Machine Learning 59

Machine Learning Machine Learning ML ML 59

The MLOps Blog

JUNE 27, 2023

Knowledge and skills in the organization Evaluate the level of expertise and experience of your ML team and choose a tool that matches their skill set and learning curve. Model monitoring and performance tracking : Platforms should include capabilities to monitor and track the performance of deployed ML models in real-time.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Tableau

FEBRUARY 17, 2021

Upgrade to take advantage of these new innovations, and learn more about how Tableau brings AI into analytics to help users across your organization answer pressing questions. Enjoy significant Azure connectivity improvements to better optimize Tableau and Azure together for analytics. Microsoft Azure connectivity improvements.

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Tableau Azure Data Quality ML 99

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. There is one Query language known as SQL (Structured Query Language), which works for a type of database. SQL Databases are MySQL , PostgreSQL , MariaDB , etc.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

phData

JANUARY 31, 2024

We’ll cover how to get the data via the Snowflake Marketplace, how to apply machine learning with Snowpark , and then bring it all together to create an automated ML model to forecast energy prices. To see how Streamlit can be used to create an ML model that helps forecast energy prices, check out this helpful demo below.

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

The MLOps Blog

MAY 10, 2023

When working on real-world machine learning (ML) use cases, finding the best algorithm/model is not the end of your responsibilities. Reusability & reproducibility: Building ML models is time-consuming by nature. Save vs package vs store ML models Although all these terms look similar, they are not the same.

Python 106

Python ML ML Database 106

Mlearning.ai

AUGUST 21, 2023

It touches on creating, storing and retrieval of vector embeddings from document to use as custom context on LLM’s Applications of Generative AI are at the forefront post the LLM boom. Fig 1 : Architecture for Generative AI The above image shows the general architecture of Gen AI for a unstructured data.

AI 52

AI AI SQL Azure 52

Tableau

FEBRUARY 17, 2021

Upgrade to take advantage of these new innovations, and learn more about how Tableau brings AI into analytics to help users across your organization answer pressing questions. Enjoy significant Azure connectivity improvements to better optimize Tableau and Azure together for analytics. Microsoft Azure connectivity improvements.

Tableau 52

Tableau Azure Data Quality ML 52

The MLOps Blog

OCTOBER 20, 2023

And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. For example, you typically have functions to read your data, run SQL queries, and preprocess, transform, or enrich your dataset. There are several ways to use SQl wit Jupyter notebooks.

SQL 52

SQL Database Data Scientist Python 52

Alation

APRIL 14, 2022

In today’s AI/ML-driven world of data analytics, explainability needs a repository just as much as those doing the explaining need access to metadata, EG, information about the data being used. With the onslaught of AI/ML, data volumes, cadence, and complexity have exploded. Support for languages and SQL.

Data Governance 59

Data Governance ML ML Cloud Data 59

DagsHub

DECEMBER 11, 2023

DVC tracks ML models and data sets (source: Iterative website ) Strengths Open source, and compatible with all major cloud platforms and storage types. Dolt Created in 2019, Dolt is an open-source tool for managing SQL databases that uses version control similar to Git. Most developers are familiar with Git for source code versioning.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Database 98

IBM Journey to AI blog

JANUARY 18, 2023

They defined it as : “ A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. ”. Data fabric: A mostly new architecture.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

Boyce to create Structured Query Language (SQL). How Db2, AI and hybrid cloud work together AI- i nfused intelligence in IBM Db2 v11.5 Developers can leverage features like REST APIs, JSON support and enhanced SQL compatibility to easily build cloud-native applications. is a proven, versatile, and AI-ready solution.

Database 92

Database SQL Data Warehouse Machine Learning 92

Mlearning.ai

JUNE 16, 2023

Increase your productivity in software development with Generative AI As I mentioned in Generative AI use case article, we are seeing AI-assisted developers. Overall Generative AI in SDLC Here is how Generative AI can help in SDLC stages (we may see more use cases as Generative AI matures).

AI 52

AI AI Data Analysis Data Analysis 52

Alation

JULY 18, 2022

That was the message — delivered a little more elegantly than that — at Databricks’ Data+AI Summit 2022. A simple model to control access to data via a UI or SQL. She stressed that implementing AI/ML requires not only democratized data, but also partners that slide easily into that modern data stack. and much more!

AI 52

AI AI Data Lakes Azure 52

The MLOps Blog

MARCH 21, 2023

As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale. Supporting the operations of data scientists and ML engineers requires you to reduce—or eliminate—the engineering overhead of building, deploying, and maintaining high-performance models.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

phData

JULY 18, 2023

As an AI and data analytics consulting company, phData is on a mission to become the world leader in delivering data services and products on a modern data platform. With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever.

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Data Warehouse SQL Cloud Data Analytics 52