ODSC - Open Data Science

NOVEMBER 19, 2024

Here’s a breakdown of ten top sessions from this year’s conference that data professionals should consider. Topological Deep Learning Made Easy with TopoX with Dr. Mustafa Hajij Slides In these AI slides, Dr. Mustafa Hajij introduced TopoX, a comprehensive Python suite for topological deep learning.

Deep Learning 52

Deep Learning Data Science Neural Network BERT 52

Marktechpost

JULY 17, 2023

Predictive analytics are used by businesses to improve their operations and hit their goals. Predictive analytics can make use of both structured and unstructured data insights. What Relationship Exists Between Predictive Analytics, Deep Learning, and Artificial Intelligence?

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Pickl AI

FEBRUARY 14, 2023

Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai Arya.ai One of the growing AI companies in India, Arya.ai, deploys Deep Learning solutions for the BFSI sector. Traditional business intelligence processes and dashboards take a long time to improve.

BERT 52

BERT Artificial Intelligence Artificial Intelligence Deep Learning 52

ODSC - Open Data Science

JUNE 1, 2023

Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? With augmented analytics (and embedded insights), anyone can become a citizen data scientist, regardless of their advanced analytics expertise.

ML 52

ML Big Data Data Scientist Data Science 52

AWS Machine Learning Blog

OCTOBER 2, 2024

This includes implementing access controls, data governance policies, and proactive monitoring and alerting to make sure sensitive information is properly secured and monitored. Leveraging her expertise in Computer Vision and Deep Learning, she empowers customers to harness the power of the ML in AWS cloud efficiently.

Generative AI 130

Generative AI Data Ingestion AI AI 130

Viso.ai

JUNE 4, 2024

Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. About us : Viso.ai provides a robust end-to-end computer vision infrastructure – Viso Suite. Get a demo here.

Computer Vision 52

Computer Vision Robotics Machine Learning Business Intelligence 52

Pickl AI

SEPTEMBER 23, 2024

Data Science involves extracting insights from structured and unstructured data using statistical methods, data mining, and visualisation techniques. AI, particularly Machine Learning and Deep Learning uses these insights to develop intelligent models that can predict outcomes, automate processes, and adapt to new information.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Pickl AI

JUNE 19, 2024

Relevant Work Experience Experience in a data-driven field, even if not directly related to Data Science, can be a strong advantage. Look for opportunities in business intelligence, market research, or any role that involves data analysis and interpretation.

Data Science 52

Data Science Data Scientist Natural Language Processing Machine Learning 52

Mlearning.ai

MAY 23, 2023

In the final stage, the results are communicated to the business in a visually appealing manner. This is where the skill of data visualization, reporting, and different business intelligence tools come into the picture. What is the difference between data analytics and data science? What is deep learning?

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52

ODSC - Open Data Science

FEBRUARY 15, 2024

This skill is incredibly useful in numerous applications where large volumes of unstructured data need to be analyzed and organized, such as in legal document analysis, academic research, and business intelligence.

Large Language Models 52

Large Language Models LLM Data Science Robotics 52

Pickl AI

SEPTEMBER 12, 2024

Data Scientists use various techniques, including Machine Learning , Statistical Modelling, and Data Visualisation, to transform raw data into actionable knowledge. Importance of Data Science Data Science is crucial in decision-making and business intelligence across various industries.

Data Science 52

Data Science Machine Learning Data Mining Algorithm 52

Pickl AI

APRIL 26, 2024

A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics. Are there any areas in data analytics where you want to improve or learn more?

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

AWS Machine Learning Blog

APRIL 19, 2023

About the Authors Mark Roy is a Principal Machine Learning Architect for AWS, helping customers design and build AI/ML solutions. Mark’s work covers a wide range of ML use cases, with a primary interest in feature stores, computer vision, deep learning, and scaling ML across the enterprise.

ML 98

ML Data Scientist Big Data Machine Learning 98

Marktechpost

NOVEMBER 4, 2024

PyTorch The deep learning framework PyTorch is well-known for its adaptability and broad support for applications like computer vision, reinforcement learning, and natural language processing. Deep learning practitioners choose it because of its large community and libraries.

Data Analysis 82

Data Analysis Machine Learning Data Science Python 82

Marktechpost

NOVEMBER 1, 2024

PyTorch The deep learning framework PyTorch is well-known for its adaptability and broad support for applications like computer vision, reinforcement learning, and natural language processing. Deep learning practitioners choose it because of its large community and libraries.

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 97

Pickl AI

APRIL 2, 2024

The Three Types of Data Science Data science isn’t a one-size-fits-all solution. There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Supervised Learning: Learning from labeled data to make predictions or decisions.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52