Flipboard

JULY 7, 2025

I have given a few resources that might help you learn NLP: Coursera: DeepLearning.AI Natural Language Processing Specialization - Focuses on NLP techniques and applications (Recommended) Stanford CS224n (YouTube): Natural Language Processing with Deep Learning - A comprehensive lecture series on NLP with deep learning.

Natural Language Processing 158

Natural Language Processing Machine Learning Machine Learning Data Science 158

Towards AI

JULY 9, 2025

Fast forward a few years, and as deep learning explodes in popularity, NVIDIA creates cuDNN, a specialized library built on top of CUDA that’s specifically designed to make neural networks run faster than a caffeinated cheetah. It’s the Swiss Army knife of GPU computing cuDNN: Specialized for deep learning operations only.

Deep Learning 56

Deep Learning Deep Learning AI AI 56

AWS Machine Learning Blog

OCTOBER 23, 2024

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. The resulting vectors are stored in OpenSearch Service databases for efficient retrieval and querying.

AI 91

AI AI AWS Database 91

databricks

JULY 18, 2025

This process was inspired by our success working with Databricks on our deep learning frameworks. This is particularly important given the diversity of referral forms and the need for compliance within heavily regulated EHR environments like Epic. While we use Azure AI Document Intelligence for OCR and OpenAI’s GPT-4.0

Azure 218

Azure Data Science Artificial Intelligence Artificial Intelligence 218

Dataconomy

DECEMBER 18, 2024

Cybersecurity professionals validate database configurations before processing valuable data, scan the codebase of new applications before their release, investigate incidents, and identify root causes, among other tasks. Since DL falls under ML, this discussion will primarily focus on machine learning.

AI 91

AI AI Machine Learning Machine Learning 91

AWS Machine Learning Blog

DECEMBER 24, 2024

Trainium chips are purpose-built for deep learning training of 100 billion and larger parameter models. Model training on Trainium is supported by the AWS Neuron SDK, which provides compiler, runtime, and profiling tools that unlock high-performance and cost-effective deep learning acceleration.

AWS 106

AWS Clustering Deep Learning Deep Learning 106

Pickl AI

JULY 22, 2025

Harnessing the power of deep learning , these advanced AI systems can read, interpret, and generate human-like language at remarkable scale. Large Language Models (LLMs) process and understand human language using advanced deep learning techniques—primarily transformers. How Do LLMs Work? Generate code for integrations.

Data Science 52

Data Science Data Analysis Data Analysis Deep Learning 52

DrivenData Labs

JUNE 19, 2025

Currently in my job, I face challenges like looking for databases, harmonizing and incorporating them into our AI pipelines. Daniel : I got started in data science during the last years of my undergraduate studies, where I first learned about machine learning.

Data Science 130

Data Science Database Artificial Intelligence Artificial Intelligence 130

Pickl AI

JUNE 5, 2025

SQL remains crucial for database querying, especially given India’s large IT services ecosystem. Machine Learning & AI: Hands-on experience with supervised and unsupervised algorithms, deep learning frameworks (TensorFlow, PyTorch), and natural language processing (NLP) is highly valued.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Flipboard

MARCH 17, 2025

Built-in Dependency Injection FastAPI provides a powerful dependency injection system, making it easy to manage shared resources like databases, authentication services, and configuration settings. Adding a POST Request Endpoint A POST request is used to create new resources, such as adding a new item to a database. Thats not the case.

Python 149

Python Deep Learning Deep Learning Machine Learning 149

AWS Machine Learning Blog

NOVEMBER 12, 2024

The following question requires complex industry knowledge-based analysis of data from multiple columns in the ETF database. The results are similar to fine-tuning LLMs without the complexities of fine-tuning models. Use case examples Let’s look at a few sample prompts with generated analysis.

SQL 122

SQL AWS AI AI 122

Dataconomy

MARCH 3, 2025

To address this, machine learning models attempt to predict how genes will behave under perturbation before actually conducting experiments. These models use knowledge graphs databases of known biological interactionsto infer how a new gene disruption might affect a cell.

AI 91

AI AI Clustering Machine Learning 91

DagsHub

NOVEMBER 4, 2024

This model makes predictions while receiving streaming inputs and predictions are stored in a database. The retailer might evolve their recommendation system to incorporate deep learning models that consider user browsing history, demographic data, and current trends. using Kafka, Kinesis, or a queue type of input).

ML 52

ML ML Machine Learning Machine Learning 52

Flipboard

JUNE 25, 2025

Amazon Redshift is a database optimized for online analytical processing (OLAP), which generally entails analyzing large amounts of data and performing complex analysis, as might be done by analysts looking at historical stock prices. Finance domain The Finance domain has two tables: Stock Price and Research Budgets.

AWS 130

AWS Database Data Silos Deep Learning 130

Towards AI

FEBRUARY 3, 2025

DeepSeek AI is an advanced AI genomics platform that allows experts to solve complex problems using cutting-edge deep learning, neural networks, and natural language processing (NLP). DeepSeek AI can learn and improve over time, as opposed to being governed by static, pre-defined principles. Lets begin! What is DeepSeek AI?

AI 125

AI AI Natural Language Processing Artificial Intelligence 125

Flipboard

JULY 3, 2025

SageMaker AI provides distributed training libraries and supports various distributed training options for deep learning tasks. Expand your database starting from glue_db_. For this post, we use the PyTorch framework and use Hugging Face open source FMs for fine-tuning. Under Lakehouse , expand AwsDataCatalog.

ML 106

ML ML AWS Data Engineering 106

Flipboard

JUNE 11, 2025

Fine-Tuning Techniques: Fine-tuning adjusts the model’s internal parameters based on the retrieved knowledge, enhancing its ability to produce accurate and contextually appropriate outputs.

AI 83

AI AI Machine Learning Machine Learning 83

AWS Machine Learning Blog

FEBRUARY 25, 2025

This approach consists of the following parameters: Model definition We define a sequential deep learning model using the Keras library from TensorFlow. It boasts advanced capabilities like chat with data, advanced Retrieval Augmented Generation (RAG), and agents, enabling complex tasks such as reasoning, code execution, or API calls.

Algorithm 85

Algorithm Machine Learning Machine Learning K-nearest Neighbors 85

ODSC - Open Data Science

APRIL 28, 2025

Adaptive RAG Systems with Knowledge Graphs: Building Reinforcement-Learning-Driven AI Applications David vonThenen, Senior AI/ML Engineer at DigitalOcean Learn how to build self-improving RAG systems by combining knowledge graphs with reinforcement learning for smarter, more dynamic AI applications.

Data Scientist 52

Data Scientist ML ML AI 52

Dataconomy

FEBRUARY 26, 2025

These systems leverage extensive knowledge databases to provide informed recommendations and solutions. Machine learning Machine learning involves analyzing data to develop algorithms that enhance over time. This self-improvement allows machines to make increasingly accurate decisions as they assimilate new information.

Machine Learning 103

Machine Learning Machine Learning Deep Learning Deep Learning 103

AWS Machine Learning Blog

FEBRUARY 13, 2025

He focuses on building deep learning-based AI and computer vision solutions for AWS customers. This modular approach simplifies maintenance, updates, and scalability of your AI applications. Shubham also has a background in building distributed, scalable, high-volume-high-throughput systems in IoT architectures.

AWS 102

AWS AI AI ML 102

AWS Machine Learning Blog

NOVEMBER 26, 2024

This skill simplifies the data extraction process, allowing security analysts to conduct investigations more efficiently without requiring deep technical knowledge. Given a database schema, the model is provided with three examples pairing a natural-language question with its corresponding SQL query.

Machine Learning 101

Machine Learning Machine Learning ML SQL 101

AWS Machine Learning Blog

JUNE 11, 2025

This involved creating a pipeline for data ingestion, preprocessing, metadata extraction, and indexing in a vector database. Similarity search and retrieval – The system retrieves the most relevant chunks in the vector database based on similarity scores to the query.

AWS 71

AWS AI AI Database 71

PyImageSearch

MAY 19, 2025

Course information: 86+ total classes 115+ hours hours of on-demand code walkthrough videos Last updated: May 2025 4.84 (128 Ratings) 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning. Or has to involve complex mathematics and equations?

K-nearest Neighbors 88

K-nearest Neighbors AWS Deep Learning Deep Learning 88

AWS Machine Learning Blog

NOVEMBER 1, 2024

According to sources from government databases and research institutions, there are around 300,000–600,000 clinical trials conducted globally each year, amplifying this impact by several hundred thousand times. With a centralized data lake, organizations can avoid the duplication of data across separate trial databases.

AWS 111

AWS Data Lakes Machine Learning Machine Learning 111

Flipboard

APRIL 21, 2025

Ragas can be used to evaluate the performance of an information retriever (the component that retrieves relevant information from a database) using metrics like context precision and recall. About the Authors Deepak Dalakoti, PhD, is a Deep Learning Architect at the Generative AI Innovation Centre in Sydney, Australia.

AWS 141

AWS AI AI Machine Learning 141

Flipboard

APRIL 23, 2025

The following diagram illustrates how RBAC works with metadata filtering in the vector database. Amazon Bedrock Knowledge Bases performs similarity searches on the OpenSearch Service vector database and retrieves relevant chunks (optionally, you can improve the relevance of query responses using a reranker model in the knowledge base).

AWS 146

AWS ML ML AI 146

How to Learn Machine Learning

APRIL 30, 2025

LLMs are those trained on a large amount of text data, using deep learning technology to grasp the statistical relationship between words, sentences, and other elements of language. Some of these systems cross-check the responses with the trusted database or source. It uses the transformer architecture.

Data Scientist 59

Data Scientist Data Science AI AI 59

Dataconomy

MARCH 4, 2025

Data mining is a fascinating field that blends statistical techniques, machine learning, and database systems to reveal insights hidden within vast amounts of data. Association rule mining Association rule mining identifies interesting relations between variables in large databases.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

ML @ CMU

JULY 8, 2025

This work has practical implications for AI systems that rely on private database searches or real-time regression, enabling them to provide useful results while safeguarding sensitive information from attackers.

Supervised Learning 213

Supervised Learning Machine Learning Machine Learning Algorithm 213

AWS Machine Learning Blog

APRIL 7, 2025

The following use cases are well-suited for prompt caching: Chat with document By caching the document as input context on the first request, each user query becomes more efficient, enabling simpler architectures that avoid heavier solutions like vector databases.

AWS 132

AWS AI AI ML 132

Flipboard

JULY 11, 2025

Just as a judge relies on a clerk to pull specific case files before making a decision, an LLM with RAG can query databases or documents in real time to support its compliance decisions. By organizing compliance data into a graph, the system captures context and connections that linear text databases might miss. as a regulation node).

AI 82

AI AI Database Natural Language Processing 82

ODSC - Open Data Science

FEBRUARY 27, 2025

Can we learn a foundation model for time series and interrogate them with a chatbot, reason over them with intelligent agents, and perform other useful applications of Generative AI? In this post and accompanying notebook , we examine recent work on foundation models for time series, focusing on one model in particular: TimesFM (Das et al.,

Machine Learning 52

Machine Learning Machine Learning Database Big Data 52

AWS Machine Learning Blog

FEBRUARY 11, 2025

Xiang Song is a Senior Applied Scientist at Amazon Web Services, where he develops deep learning frameworks including GraphStorm, DGL, and DGL-KE. He led the development of Amazon Neptune ML, a new capability of Neptune that uses graph neural networks for graphs stored in a Neptune graph database.

AWS 111

AWS Python ML ML 111

Flipboard

MAY 15, 2025

AI at Qualtrics Qualtrics has a deep history of using advanced ML to power its industry-leading experience management platform. Early 2020, with the push for deep learning and transformer models, Qualtrics created its first enterprise-level ML platform called Socrates.

ML 121

ML ML AI AI 121

AWS Machine Learning Blog

MARCH 10, 2025

The questions require deep domain knowledge in various verticals; they are unambiguous and resistant to simple internet lookups or database retrieval. Shreyas has a background in large-scale optimization and ML and in the use of ML and reinforcement learning for accelerating optimization tasks. Start with H=84.nnEach

ML 101

ML ML Machine Learning Machine Learning 101

ODSC - Open Data Science

JULY 14, 2025

Previously, as Director of AI Engineering at Clearbit, he transformed AI into a core profit driver, growing a thriving user base and spearheading advancements in large-scale vector databases. His team also put Meta’s first deep learning model on-device.

Machine Learning 52

Machine Learning Machine Learning ML ML 52