Marktechpost

AUGUST 24, 2023

r/computervision Computer vision is the branch of AI science that focuses on creating algorithms to extract useful information from raw photos, videos, and sensor data. It serves as a forum for discussion and debate on matters related to the career of data scientists. There are about 68k members.

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence Machine Learning Computer Vision 97

Pickl AI

JULY 14, 2023

The following blog will emphasise on what the future of AI looks like in the next 5 years. Evolution of AI The evolution of Artificial Intelligence (AI) spans several decades and has witnessed significant advancements in theory, algorithms, and applications.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

Mlearning.ai

SEPTEMBER 5, 2023

InsightsAct’s AI engine works continuously in the background to surface relevant insights. Contextual Recommendations InsightsAct doesn’t just identify issues; its algorithms go further by providing contextual recommendations to address uncovered opportunities. Automated Discovery No more waiting around for manual analysis.

Business Intelligence 52

Business Intelligence Automation Big Data Explainable AI 52

Ofemwire

MARCH 1, 2024

What is AI Artificial Intelligence, commonly referred to as AI, embodies the simulation of human intelligence processes by machines, especially computer systems. If you dont get that, let me explain what AI is, like I would do to a fifth grader. These processes include learning, reasoning, and self-correction.

Neural Network 52

Neural Network Machine Learning Artificial Intelligence Artificial Intelligence 52

Pickl AI

SEPTEMBER 17, 2024

Read More: Big Data and Artificial Intelligence: How They Work Together? 15 AI Interview Questions and Answers Interview questions for Artificial Intelligence positions often delve into a wide range of topics, from fundamental principles to cutting-edge techniques. Explain The Concept of Supervised and Unsupervised Learning.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Machine Learning 52

Pickl AI

JULY 24, 2024

The pivotal moment in AI’s history occurred with the work of Alan Turing in the 1930s and 1940s. Turing proposed the concept of a “universal machine,” capable of simulating any algorithmic process. During this period, optimism about AI’s potential led to substantial funding and research initiatives.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Neural Network 52

The MLOps Blog

JUNE 27, 2023

Learn more The Best Tools, Libraries, Frameworks and Methodologies that ML Teams Actually Use – Things We Learned from 41 ML Startups [ROUNDUP] Key use cases and/or user journeys Identify the main business problems and the data scientist’s needs that you want to solve with ML, and choose a tool that can handle them effectively.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Dlabs.ai

MAY 22, 2022

It’s dedicated to data scientists, and believe me: it’s run by some of the institution’s most experienced lecturers, including computer science and statistics professors. That’s why it helps to know the fundamentals of ML and the different learning algorithms before you do any data science work.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Neural Network 52

AWS Machine Learning Blog

NOVEMBER 9, 2023

We build a model to predict the severity (benign or malignant) of a mammographic mass lesion trained with the XGBoost algorithm using the publicly available UCI Mammography Mass dataset and deploy it using the MLOps framework. You can also extend this solution by bringing in your own data sources and modeling frameworks.

Data Drift 119

Data Drift Auto-complete ML Automation 119

Unite.AI

MARCH 5, 2025

Jamie Twiss is an experienced banker and a data scientist who works at the intersection of data science, artificial intelligence, and consumer lending. He currently serves as the Chief Executive Officer of Carrington Labs , a leading provider of explainable AI-powered credit risk scoring and lending solutions.

Explainability 147

Explainability Big Data AI Modeling Automation 147

Unite.AI

JULY 5, 2024

Establishing strong information governance frameworks ensures data quality, security and regulatory compliance. This includes defining data standards, policies and processes for data management, as well as leveraging advanced analytics and big data technologies to extract actionable insights from health data.

Data Integration 147

Data Integration Data Quality Algorithm AI Modeling 147

Pickl AI

APRIL 2, 2024

Understanding Data Structured Data: Organized data with a clear format, often found in databases or spreadsheets. Unstructured Data: Data without a predefined structure, like text documents, social media posts, or images. Data Cleaning: Process of identifying and correcting errors or inconsistencies in datasets.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52