KDnuggets

OCTOBER 14, 2019

Also: Activation maps for deep learning models in a few lines of code; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned; 10 Great Python Resources for Aspiring Data Scientists.

Natural Language Processing 130

Natural Language Processing Deep Learning Deep Learning Data Analysis 130

KDnuggets

OCTOBER 9, 2019

Also: 12 things I wish I'd known before starting as a Data Scientist; 10 Free Top Notch Natural Language Processing Courses; The Last SQL Guide for Data Analysis; The 4 Quadrants of #DataScience Skills and 7 Principles for Creating a Viral DataViz.

Natural Language Processing 132

Natural Language Processing Data Scientist SQL Data Analysis 132

AWS Machine Learning Blog

APRIL 16, 2024

In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them. They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference.

SQL 108

SQL AWS Database Data Scientist 108

AWS Machine Learning Blog

FEBRUARY 28, 2024

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language.

SQL 126

SQL AWS Database ML 126

Data Science Blog

JUNE 30, 2023

The data is obtained from the Internet via APIs and web scraping, and the job titles and the skills listed in them are identified and extracted from them using Natural Language Processing (NLP) or more specific from Named-Entity Recognition (NER). Why we did it? It is a nice show-case many people are interested in.

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

Data Science Blog

MAY 22, 2023

Neben den relationalen Datenbanken (SQL) gibt es auch die NoSQL -Datenbanken wie den Key-Value-Store, Dokumenten- und Graph-Datenbanken mit recht speziellen Anwendungsgebieten. In diesen geht nur leider dann doch irgendwann das Wissen verloren… Und das auch dann, wenn es nie aus ihnen herausgelöscht wird!

Deep Learning 244

Deep Learning Deep Learning Natural Language Processing AI 244

Data Science Dojo

MAY 18, 2023

Getting Started with SQL Programming: Are you starting your journey in data science? Then you’re probably already familiar with SQL, Python, and R for data analysis and machine learning. Then you’re probably already familiar with SQL, Python, and R for data analysis and machine learning.

Data Science 195

Data Science AI AI SQL 195

AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010.

SQL 120

SQL AWS Analytics Analytics 120

AWS Machine Learning Blog

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.

SQL 135

SQL Database AI AI 135

AWS Machine Learning Blog

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. For this post, we use a dataset called sql-create-context , which contains samples of natural language instructions, schema definitions and the corresponding SQL query.

AI 76

AI AI AWS SQL 76

Flipboard

DECEMBER 6, 2023

In this post, we discuss a Q&A bot use case that Q4 has implemented, the challenges that numerical and structured datasets presented, and how Q4 concluded that using SQL may be a viable solution. RAG with semantic search – Conventional RAG with semantic search was the last step before moving to SQL generation.

SQL 168

SQL Database AWS Machine Learning 168

Data Science Dojo

AUGUST 27, 2024

Python, R, and SQL: These are the most popular programming languages for data science. Statistics provides the language to do this effectively. Python, R, and SQL: These are the most popular programming languages for data science. Programming Skills Think of programming as the detective’s notebook.

Data Scientist 273

Data Scientist Data Science Machine Learning Machine Learning 273

Data Science Dojo

AUGUST 18, 2023

Transformers are a type of neural network that are well-suited for natural language processing tasks. They are able to learn long-range dependencies between words, which is essential for understanding the nuances of human language. This can help to speed up the fine-tuning process and improve the accuracy of the results.

Natural Language Processing 195

Natural Language Processing Database AI AI 195

Data Science 101

NOVEMBER 29, 2019

Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. Amazon Comprehend launches real-time classification Amazon Comprehend is a service which uses Natural Language Processing (NLP) to examine documents. We will have to wait and see.

Cloud Data 115

Cloud Data Data Science Machine Learning Machine Learning 115

AWS Machine Learning Blog

AUGUST 22, 2024

Snowflake Arctic is a family of enterprise-grade large language models (LLMs) built by Snowflake to cater to the needs of enterprise users, exhibiting exceptional capabilities (as shown in the following benchmarks ) in SQL querying, coding, and accurately following instructions. Text / string where clauses must be fuzzy match e.g

SQL 117

SQL AWS Python ML 117

Smart Data Collective

MARCH 27, 2023

Data Scientists and Analysts use various tools such as machine learning algorithms, statistical modeling, natural language processing (NLP), and predictive analytics to identify trends, uncover opportunities for improvement, and make better decisions. as this will set you apart from other applicants.

Data Analyst 119

Data Analyst Data Science Data Scientist Natural Language Processing 119

Data Science Dojo

AUGUST 27, 2024

Statistics provides the language to do this effectively. Python, R, and SQL: These are the most popular programming languages for data science. Statistics provides the language to do this effectively. Python, R, and SQL: These are the most popular programming languages for data science.

Data Scientist 195

Data Scientist Data Science Machine Learning Machine Learning 195

Mlearning.ai

JUNE 17, 2023

Photo by Sneaky Elbow on Unsplash The advent of large language models (LLMs), such as OpenAI’s GPT-3, has ushered in a new era of possibilities in the realm of natural language processing. In this scenario, we will use the latter type, specifically, the SQL Database Agent.

SQL 52

SQL Database Natural Language Processing ML 52

AWS Machine Learning Blog

MARCH 14, 2024

We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. The SQL is run by Amazon Athena to return the relevant data. Amazon Kendra uses natural language processing (NLP) to understand user queries and find the most relevant documents.

SQL 120

SQL AWS AI AI 120

Data Science Dojo

JULY 3, 2024

Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

APRIL 24, 2024

An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user. You can use LCEL to build the SQL chain. For example, “What are the max metrics for device 1009?”

AWS 126

AWS AI AI SQL 126

ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Knowing some SQL is also essential.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

phData

JUNE 7, 2024

The family includes models built for information retrieval and an LLM that excels at business-oriented tasks such as information retrieval, generating SQL, and writing various types of code. This focused approach optimizes the model for tasks like code generation and SQL query execution, leading to superior performance in these areas.

Natural Language Processing 52

Natural Language Processing SQL ML ML 52

Smart Data Collective

JUNE 4, 2021

Skills that are in high demand for data science positions are big data (spark), no sql (mongo db), and cloud computing. Natural Language Processing (NLP). Natural language processing is creating logic for understanding human languages. In some cases, the algorithm responds in human language.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

ODSC - Open Data Science

MARCH 3, 2025

Their work has set a gold standard for integrating advanced natural language processing (NLP ) into clinical settings. Few understand this better than David Talby and his team at John Snow Labs, a leading provider of medical-specific LLMs. Consistency: Variability in responses undermines clinician trust.

Natural Language Processing 52

Natural Language Processing Data Scientist SQL Database 52

Pickl AI

OCTOBER 27, 2024

Students learn to work with tools like Python, R, SQL, and machine learning frameworks, which are essential for analysing complex datasets and deriving actionable insights1. Programs should also offer elective courses that allow you to delve deeper into specific areas of interest, such as natural language processing or advanced analytics.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

AWS Machine Learning Blog

DECEMBER 29, 2022

It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Create a SQL editor tab and be sure the sagemaker database is selected. Her interests include computer vision, natural language processing, and edge computing.

AWS 121

AWS Machine Learning Machine Learning Natural Language Processing 121

Towards AI

MAY 2, 2023

In this post, we explore the concept of querying data using natural language, eliminating the need for SQL queries or coding skills. Natural Language Processing (NLP) and advanced AI technologies can allow users to interact with their data intuitively by asking questions in plain language.

ML 98

ML ML Natural Language Processing Clustering 98

Towards AI

JULY 21, 2023

Photo by adrianna geo on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.23.20 This Week Sentence Transformers txtai: AI-Powered Search Engine Fine-tuning Custom Datasets Data API Endpoint With SQL It’s LIT ? Fury What a week. Let’s recap. old mermaid money found on the Titanic ?

Deep Learning 98

Deep Learning Deep Learning SQL Natural Language Processing 98

Data Science Dojo

OCTOBER 10, 2023

Role of AI for leading professionals Here are some specific examples of how attending AI events and conferences can help individuals and organizations to learn and adapt to new technologies: A software engineer can gain knowledge about the latest advancements in natural language processing by attending an AI conference.

AI 243

AI AI Data Observability Artificial Intelligence 243

Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Techniques like Natural Language Processing (NLP) and computer vision are applied to extract insights from text and images. Data Scientists rely on technical proficiency.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

AWS Machine Learning Blog

JUNE 13, 2023

The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.

Database 83

Database SQL AWS AI 83

AWS Machine Learning Blog

DECEMBER 14, 2023

Our pipeline belongs to the general ETL (extract, transform, and load) process family that combines data from multiple sources into a large, central repository. Multiple days of data can be processed by separate Processing jobs simultaneously. Employ AWS Glue for data crawling after processing multiple days of data.

ETL 99

ETL AWS ML ML 99

Dataconomy

AUGUST 7, 2023

In AI applications, unstructured data can be vital for tasks such as natural language processing, image recognition, and sentiment analysis. Beyond its performance merits, Couchbase also integrates Big Data and SQL functionalities, positioning it as a multifaceted solution for complex AI and ML tasks.

Database 168

Database AI AI ML 168

AWS Machine Learning Blog

JUNE 25, 2024

Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. In addition, the generative business intelligence (BI) capabilities of QuickSight allow you to ask questions about customer feedback using natural language, without the need to write SQL queries or learn a BI tool.

AWS 118

AWS Natural Language Processing Machine Learning Machine Learning 118

Dataconomy

OCTOBER 15, 2024

Natural Language Processing (NLP) for application design One of the most significant intersections between Gen AI and low-code development is through NLP. Developers can interact with LCNC platforms using natural language queries or prompts.

AI 128

AI AI Database Natural Language Processing 128

Applied Data Science

AUGUST 2, 2021

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

Data Science 130

Data Science Data Scientist ML ML 130