Snorkel AI

MAY 17, 2023

Amy Hodler, senior director of graph evangelism and product marketing at RelationalAI gave a presentation entitled “Reclaim Predictive Data with Knowledge Graphs” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. You have more predictive data than you realize.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

MAY 17, 2023

Amy Hodler, senior director of graph evangelism and product marketing at RelationalAI gave a presentation entitled “Reclaim Predictive Data with Knowledge Graphs” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. You have more predictive data than you realize.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Pickl AI

JANUARY 12, 2023

Due to the growing application of Data Science in different industries, companies are now looking forward to hiring individuals and training their employees on newer technologies that can eventually help the organization attain its goals. Best Data Science courses for working professionals 1.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

AUGUST 22, 2023

In the realm of computer programming, the distinction between scripting languages and programming languages has long been a topic of debate and exploration. Automation and Glue Code : Python excels as a scripting language for tasks such as automation, data manipulation, and integrating disparate systems. What is a Programming Language?

Python 52

Python Data Science Data Analysis Data Analysis 52

The Data Administration Newsletter

MARCH 20, 2024

In the realm of big data, ensuring the reliability and accuracy of data is crucial for making well-informed decisions and actionable insights. Data cleansing, the process of detecting and correcting errors and inconsistencies in datasets, is critical to maintaining data quality.

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Big Data Big Data Data Quality 52

The Data Administration Newsletter

MARCH 14, 2023

As data programs accelerate their capabilities to tap into insights, the rights of the consumer and their privacy are racing counter. We’ve long had to contend with the balance of how to best use data throughout its lifecycle and build processes. The more recent innovation? The ability to rapidly pivot, experiment, and learn.

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Data Quality Data Governance 97

The Data Administration Newsletter

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time. In a world where big data is becoming more popular and the use of predictive modeling is on the rise, there are steps […].

Data Mining 115

Data Mining Data Mining Data Mining Big Data 115

Dataconomy

SEPTEMBER 8, 2023

With the amount of data a company holds growing exponentially every year, it’s becoming more and more important for businesses to have a system of record in place to manage it all. One of the most talked about topics in the business world in 2023 was the data collected by large companies about customers.

Database 113

Database Data Quality Data Governance Analytics 113

The Data Administration Newsletter

JULY 4, 2023

Data scientists claim that they spend 80% of their time cleansing data and the other 20% of their time complaining about cleansing data. There is clearly something wrong with this picture, but sadly, my own experience can confirm that this seems to be true in practice.

Data Scientist 52

Data Scientist Data Quality 52

Tableau

SEPTEMBER 26, 2023

Swetha Bezawada Senior Data Scientist Colten Woo September 26, 2023 - 6:57pm October 2, 2023 The typical analytical ecosystem has two silos: business intelligence and data science. Data scientists have a wide range of options to choose from when it comes to programming languages and platforms to build their predictive models.

Tableau 111

Tableau Analytics Analytics Python 111

AWS Machine Learning Blog

AUGUST 22, 2023

We’re excited to announce Amazon SageMaker Data Wrangler support for Amazon S3 Access Points. Starting today, SageMaker Data Wrangler is making it easier for users to prepare data from shared datasets stored in Amazon Simple Storage Service (Amazon S3) while enabling organizations to securely control data access in their organization.

AWS 69

AWS Data Preparation Data Science Artificial Intelligence 69

Tableau

SEPTEMBER 26, 2023

Swetha Bezawada Senior Data Scientist Colten Woo September 26, 2023 - 6:57pm October 2, 2023 The typical analytical ecosystem has two silos: business intelligence and data science. Data scientists have a wide range of options to choose from when it comes to programming languages and platforms to build their predictive models.

Tableau 75

Tableau Analytics Analytics Python 75

Mlearning.ai

MAY 16, 2023

Data engineering is a rapidly growing field that designs and develops systems that process and manage large amounts of data. There are various architectural design patterns in data engineering that are used to solve different data-related problems. Finally, the transformed data is loaded into the target system.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

APRIL 9, 2023

It helps in analysing data to provide valuable information. It is an analytical tool developed by Microsoft that enables the organization to visualise, and share insights from data. Power BI is loaded with features that help in making data-driven decisions. Data is the most valuable asset for any organisation.

Power BI 52

Power BI Business Intelligence Business Intelligence Cloud Computing 52

IBM Journey to AI blog

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions. An open-source model, Google created BERT in 2018.

AI 62

AI AI Machine Learning Machine Learning 62

AWS Machine Learning Blog

MARCH 13, 2024

Because the models are hosted and deployed on AWS, your data, whether used for evaluating the model or using it at scale, is never shared with third parties. Choose the model card to view details about the model such as the license, data used to train, and how to use the model. One example within the JSON lines file is shown below.

Machine Learning 112

Machine Learning Machine Learning Algorithm Python 112

Precisely

JUNE 12, 2023

Read our eBook 5 Tips to Modernize Data Integration for the Cloud Read this eBook to learn best practices for modernizing data integration for the cloud, helping you to ensure project workloads, budgets, and timelines are within your target goals. Data silos create significant barriers to cloud transformation.

Data Silos 52

Data Silos Augmented Analytics Database ML 52

Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. Read the full blog here —  [link] Data Science Interview Questions for Freshers 1.

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Data Science Decision Trees Deep Learning Deep Learning 52