Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

DECEMBER 7, 2023

She then joined Getir in 2022 as a data scientist and has worked on Recommendation Engine projects, Mathematical Programming for Workforce Planning. Emre Uzel received his Master’s Degree in Data Science from Koç University. Emre Uzel received his Master’s Degree in Data Science from Koç University.

AWS 133

AWS Algorithm Data Science Machine Learning 133

AWS Machine Learning Blog

DECEMBER 4, 2023

She joined Getir in 2022, and has been working as a Data Scientist. Esra Kayabalı is a Senior Solutions Architect at AWS, specialized in the analytics domain, including data warehousing, data lakes, big data analytics, batch and real-time data streaming, and data integration.

AWS 126

AWS Predictive Analytics ML ML 126

IBM Journey to AI blog

MAY 19, 2023

billion in 2022 to USD 130.0 With high-speed file transfer, integrated services and cross-region offerings, IBM Cloud Object Storage allows you to leverage your data securely. The rapid growth of global web-based ERP solution providers The global cloud ERP market is expected to grow at a CAGR of 15%, from USD 64.7 billion by 2027.

Big Data Analytics 93

Big Data Analytics Big Data Analytics Data Lakes Cloud Computing 93

IBM Journey to AI blog

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. The hybrid multicloud These days, most enterprise businesses rely on a hybrid multicloud environment.

Cloud Computing 119

Cloud Computing Big Data Big Data Internet of Things 119

Mlearning.ai

JANUARY 26, 2023

In the context of Earth Observation (EO) projects, data cubes are time-series of spatiotemporal images or station data (points) representing measurements or predictions of biophysical variables. What do you think will be the key technology for the future of data cubes? Data, 4(3), 92. Big Earth Data, 1–29.

AWS 98

AWS Database Data Science Clean Data 98

AWS Machine Learning Blog

JANUARY 26, 2023

Deep Dive into Model Tuning and Benefits of Warm Pools SageMaker Automated Model Tuning leverages Warm Pools by default for any tuning job as of August 2022 (announcement). His knowledge ranges from application architecture to big data, analytics, and machine learning.

ML 101

ML ML Data Scientist AWS 101

AWS Machine Learning Blog

MAY 15, 2023

She worked as a data scientist at Arcelik, focusing on spare-part recommendation models and age, gender, emotion analysis from speech data. She then joined Getir in 2022 as a Senior Data Scientist working on forecasting and search engine projects. He has worked on Personalization and Supply Chain related projects.

Algorithm 99

Algorithm Data Scientist Machine Learning Machine Learning 99

Precisely

MARCH 10, 2023

Consequently, there is a growing demand for scalable analytics. Think back to the early 2000s, a time of big data warehouses with rigid structures. Organizations searched for ways to add more data, more variety of data, bigger sets of data, and faster computing speed.

Analytics 59

Analytics Analytics Data Warehouse Big Data 59

Pickl AI

OCTOBER 18, 2023

Key Insights The global sports analytics market is expected to hit a market of $22 billion by 2030. Technologies like AR/VR, Big Data analytics, biometrics, video-based sensing, and 2D/3D imaging are actively used in video analysis and motion tracking. to the sports analytics market in 2022 and is expected to grow.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

How to Learn Machine Learning

APRIL 15, 2023

Sale Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence Hardcover Book Agrawal, Ajay (Author) English (Publication Language) 304 Pages - 11/15/2022 (Publication Date) - Harvard Business Review Press (Publisher) Buy on Amazon The Benefits of Artificial Intelligence in the Tourism Industry 1.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 52

Pickl AI

JANUARY 16, 2024

Trends in Data Analytics career path Trends Key Information Market Size and Growth CAGR Big Data Analytics Dealing with vast datasets efficiently. Value in 2022 – $271.83 Cloud-based Data Analytics Utilising cloud platforms for scalable analysis. Value in 2022 – $18.10

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

Pickl AI

NOVEMBER 21, 2024

A report indicated that 31% of British businesses faced cyber-attacks at least once per week between 2021 and 2022. With quick access to advanced technologies like artificial intelligence and big data analytics through the cloud, companies can develop new products and services more rapidly.

Cloud Computing 52

Cloud Computing Big Data Analytics Big Data Analytics Big Data 52

Pickl AI

APRIL 7, 2025

In 2022, the global market was worth USD 3.6 It allows analysts to process large datasets, run models, and collaborate from anywhere, making it ideal for real-time, on-demand analytics and model deployment. Yes, grid computing can benefit businesses that need to process massive data workloads, such as simulations or big data analytics.

Cloud Computing 52

Cloud Computing Data Science Big Data Analytics Big Data Analytics 52

Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

The MLOps Blog

AUGUST 11, 2023

Standard ML pipeline | Source: Author Advantages and disadvantages of directed acyclic graphs architecture Using DAGs provides an efficient way to execute processes and tasks in various applications, including big data analytics, machine learning, and artificial intelligence, where task dependencies and the order of execution are crucial.

ML 52

ML ML Machine Learning Machine Learning 52