Smart Data Collective

MAY 19, 2021

Back-end System for Data Acquisition, Storage, and Analytics. Amazon, for instance, provides an entire suite of services that allow developers to integrate connectivity into hardware, design scalable home automation solutions , and apply advanced machine learning algorithms while conducting sensor data analysis.

AI 134

AI AI Analytics Analytics 134

ODSC - Open Data Science

FEBRUARY 17, 2023

Knowing how spaCy works means little if you don’t know how to apply core NLP skills like transformers, classification, linguistics, question answering, sentiment analysis, topic modeling, machine translation, speech recognition, named entity recognition, and others. Google Cloud is starting to make a name for itself as well.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

IBM Journey to AI blog

NOVEMBER 13, 2023

As an open-source system, Kubernetes services are supported by all the leading public cloud providers, including IBM, Amazon Web Services (AWS), Microsoft Azure and Google. Large-scale app deployment Heavily trafficked websites and cloud computing applications receive millions of user requests each day.

Machine Learning 129

Machine Learning Machine Learning ML ML 129

phData

FEBRUARY 21, 2025

In this post, we will be particularly interested in the impact that cloud computing left on the modern data warehouse. We will explore the different options for data warehousing and how you can leverage this information to make the right decisions for your organization.

Data Warehouse 52

Data Warehouse Cloud Data ETL Cloud Computing 52

Data Science Dojo

JULY 3, 2024

Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

JULY 30, 2024

The University of Nottingham offers a Master of Science in Bioinformatics, which is aimed at students with a background in biological sciences who wish to develop skills in bioinformatics, statistics, computer programming , and Data Analytics. Familiarise yourself with data analysis tools such as RStudio, Jupyter Notebook, and Excel.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

Becoming Human

MAY 15, 2023

These communities will help you to be updated in the field, because there are some experienced data scientists posting the stuff, or you can talk with them so they will also guide you in your journey. Data Analysis After learning math now, you are able to talk with your data.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Mlearning.ai

MAY 23, 2023

Blind 75 LeetCode Questions - LeetCode Discuss Data Manipulation and Analysis Proficiency in working with data is crucial. This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA).

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JANUARY 13, 2025

Key Skills Experience with cloud platforms (AWS, Azure). Proficiency in Data Analysis tools for market research. Data Engineer Data Engineers build the infrastructure that allows data generation and processing at scale. Knowledge of tools like Pandas , NumPy , and big data frameworks (e.g.,

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. Cloud platforms like AWS , Google Cloud Platform (GCP), and Microsoft Azure provide managed services for Machine Learning, offering tools for model training, storage, and inference at scale.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

NOVEMBER 4, 2024

Data Warehousing A data warehouse is a centralised repository that stores large volumes of structured and unstructured data from various sources. It enables reporting and Data Analysis and provides a historical data record that can be used for decision-making.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

DataSeries

OCTOBER 13, 2024

Automation of Data Science Tasks By 2030, advancements in Artificial Intelligence (AI) and Automated Machine Learning (AutoML) are expected to automate several routine data science tasks like data cleaning, feature engineering, and model selection.

Data Science 40

Data Science Data Scientist ML ML 40

Pickl AI

OCTOBER 3, 2024

Enhanced Customer Experience By leveraging AIMaaS, businesses can provide personalised services and recommendations to customers based on data analysis, leading to improved customer satisfaction and loyalty13. These providers are leveraging their expertise in cloud computing and Machine Learning to deliver powerful AIMaaS offerings.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

ODSC - Open Data Science

JULY 11, 2023

Co-location data centers: These are data centers that are owned and operated by third-party providers and are used to house the IT equipment of multiple organizations. Edge data centers: These are data centers that are located closer to the edge of the network, where data is generated and consumed, rather than in central locations.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

Pickl AI

DECEMBER 10, 2024

Exalytics delivers lightning-fast data analysis and visualisation capabilities. Exalogic ensures seamless application performance and private cloud implementation. Exadata accelerates query execution and optimises storage for large-scale data management.

Database 52

Database Analytics Analytics Business Intelligence 52

phData

JULY 25, 2023

Understand the pain points and create a business strategy that helps reduce the time to convert your regular users to premium customers and increase your revenue Take Better Decision-based Data It is essential to have backing for your decisions. Data analysis of existing users can help you plan better for gaining future customers.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

phData

JULY 25, 2023

Understand the pain points and create a business strategy that helps reduce the time to convert your regular users to premium customers and increase your revenue Take Better Decision-based Data It is essential to have backing for your decisions. Data analysis of existing users can help you plan better for gaining future customers.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Data Science Dojo

MAY 24, 2024

Navigate through 6 Popular Python Libraries for Data Science R R is another important language, particularly valued in statistics and data analysis, making it useful for AI applications that require intensive data processing. Python’s versatility allows AI engineers to develop prototypes quickly and scale them with ease.

Deep Learning 195

Deep Learning Deep Learning Machine Learning Machine Learning 195

Pickl AI

DECEMBER 4, 2024

Currently, organisations across sectors are leveraging Data Science to improve customer experiences, streamline operations, and drive strategic initiatives. A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. However, SaaS architectures can easily overwhelm DevOps teams with data aggregation, sorting and analysis tasks.

Analytics 94

Analytics Analytics AI AI 94

Pickl AI

MAY 15, 2024

Understanding the Challenges of Scaling Data Science Projects Successfully transitioning from Data Analyst to Data Science architect requires a deep understanding of the complexities that emerge when scaling projects. But as data volume and complexity increase, traditional infrastructure struggles to keep up.

Data Analyst 52

Data Analyst Data Scientist Data Science Machine Learning 52

Pickl AI

DECEMBER 25, 2024

Cloud-Based Databases and Storage Solutions Cloud-based databases and storage solutions provide the flexibility and scalability that traditional systems often lack. Storage services like Amazon S3 and Azure Blob Storage offer secure, cost-effective options for handling unstructured data.

ML 52

ML ML Cloud Computing Database 52