ODSC - Open Data Science

JULY 13, 2023

For example, retailers could analyze and reveal trends much faster with a big data platform. Data analytics in the retail industry may solve many application issues. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Categorization 52

Categorization Data Science Machine Learning Big Data 52

AWS Machine Learning Blog

DECEMBER 7, 2023

He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. He then joined Getir in 2019 and currently works as Data Science & Analytics Manager.

Convolutional Neural Networks 99

Convolutional Neural Networks Algorithm Neural Network Machine Learning 99

AWS Machine Learning Blog

FEBRUARY 13, 2024

With a strong background in computer vision, data science, and deep learning, he holds a postgraduate degree from IIT Bombay. He has worked on building enterprise-grade applications, building data platforms in multiple organizations and reporting platforms to streamline decisions backed by data.

Computer Vision 100

Computer Vision Convolutional Neural Networks AI AI 100

Pickl AI

JULY 10, 2023

What is R in Data Science? R is an open-source programming language that you can use for free and is compatible with different operating systems and platforms. As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. How is R Used in Data Science?

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

Pickl AI

JUNE 12, 2023

Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data. But What is Tableau for Data Science and what are its advantages and disadvantages? How Professionals Can Use Tableau for Data Science? Additionally.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

AI News

SEPTEMBER 26, 2023

AI and machine learning (ML) models are incredibly effective at doing this but are complex to build and require data science expertise. HT: When companies rely on managing data in a customer data platform (CDP) in tandem with AI, they can create strong, personalised campaigns that reach and inspire their customers.

Big Data 241

Big Data AI AI ETL 241

Pickl AI

APRIL 26, 2024

I would first perform exploratory data analysis to understand the data distribution and identify potential patterns or insights. Then, I would use sampling techniques or employ big data processing tools like Apache Spark to analyse the large dataset efficiently. Lifetime access to updated learning materials.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

IBM Journey to AI blog

OCTOBER 4, 2023

Typically, on their own, data warehouses can be restricted by high storage costs that limit AI and ML model collaboration and deployments, while data lakes can result in low-performing data science workloads. How does an open data lakehouse architecture support AI?

Metadata 213

Metadata AI Strategy AI AI 213

AWS Machine Learning Blog

OCTOBER 20, 2023

Data lake foundations This module helps data lake admins set up a data lake to ingest data, curate datasets, and use the AWS Lake Formation governance model for managing fine-grained data access across accounts and users using a centralized data catalog, data access policies, and tag-based access controls.

ML 101

ML Data Scientist ML Engineer Data Science 101

IBM Journey to AI blog

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. But with the IBM watsonx™ AI and data platform , organizations have a powerful tool in their toolbox for scaling AI.

Artificial Intelligence 208

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 208

ODSC - Open Data Science

JULY 19, 2023

A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team. For the customer, this helps them reduce the time it takes to bootstrap a new data science project and get it to production.

Machine Learning 52

Machine Learning Data Drift Data Science ML Engineer 52

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks. MongoDB, developed by MongoDB Inc.,

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Marktechpost

JULY 17, 2023

IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

Machine Learning 93

Machine Learning Data Mining Data Scientist Artificial Intelligence 93

Artificial Corner

JUNE 6, 2023

With a single shake of their staff they can command the power of data into magical intelligence never seen before, intelligence that will finally provide the answer to the unanswerable. With large scale investment in server farms, where immense amounts of data could be captured, stored and somehow used. This will impact the data realm.

Big Data 52

Big Data Data Mining Data Scientist Business Intelligence 52

AWS Machine Learning Blog

MAY 15, 2023

Solution overview Six people from Getir’s data science team and infrastructure team worked together on this project. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. He then joined Getir in 2019 and currently works as Data Science & Analytics Manager.

Neural Network 68

Neural Network Convolutional Neural Networks Metadata Data Scientist 68

Flipboard

NOVEMBER 24, 2023

The service streamlines ML development and production workflows (MLOps) across BMW by providing a cost-efficient and scalable development environment that facilitates seamless collaboration between data science and engineering teams worldwide. This results in faster experimentation and shorter idea validation cycles.

ML 95

ML DevOps Data Scientist ML Engineer 95

Flipboard

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Bosco Albuquerque is a Sr. Matt Marzillo is a Sr.

IDP 100

IDP Data Scientist Categorization Data Quality 100

IBM Journey to AI blog

JULY 5, 2023

This was, without a question, a significant departure from traditional analytic environments, which often meant vendor-lock in and the inability to work with data at scale. Another unexpected challenge was the introduction of Spark as a processing framework for big data. Comprehensive data security and data governance (i.e.

Metadata 167

Metadata Data Platform Big Data Data Science 167