KDnuggets

JUNE 6, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

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KDnuggets

JUNE 17, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Natural Language Processing 207

Natural Language Processing Data Science Machine Learning Machine Learning 207

KDnuggets

JUNE 18, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Data Scientist 159

Data Scientist Natural Language Processing Data Science Machine Learning 159

KDnuggets

JUNE 16, 2025

Our Top 5 Free Course Recommendations --> Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Data Science 303

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Flipboard

JUNE 9, 2025

What to build : Develop a script that pulls data from a source (spreadsheet, database, or API), generates a report, and emails it to a predefined list of recipients on a schedule. What to build : Create a script that processes your raw meeting notes, formats them neatly, extracts action items, and distributes them to participants.

Python 159

Python Natural Language Processing Data Science Machine Learning 159

KDnuggets

JUNE 11, 2025

More On This Topic Top Free Git GUI Clients for Beginners KDnuggets News, October 5: Top Free Git GUI Clients for Beginners •… Python Tooling Beyond Pandas: Libraries to Broaden Your Data… Building A Simple MCP Server Building AI Agents?

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KDnuggets

JUNE 12, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Data Science 266

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KDnuggets

JUNE 10, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Selling Your Side Project?

Data Scientist 213

Data Scientist Data Science Natural Language Processing Machine Learning 213

Flipboard

JUNE 12, 2025

She likes working at the intersection of math, programming, data science, and content creation. Her areas of interest and expertise include DevOps, data science, and natural language processing. She enjoys reading, writing, coding, and coffee!

Data Science 155

Data Science Natural Language Processing Hypothesis Testing Machine Learning 155

KDnuggets

JUNE 17, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Natural Language Processing 180

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Data Science Blog

JUNE 30, 2023

On own account, we from DATANOMIQ have created a web application that monitors data about job postings related to Data & AI from multiple sources (Indeed.com, Google Jobs, Stepstone.de For DATANOMIQ this is a show-case of the coming Data as a Service ( DaaS ) Business. Why we did it?

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

Flipboard

JUNE 16, 2025

Why its key : Thanks to the transformer architecture, it has become possible to understand complex language inputs and generate language outputs at an unprecedented level, overcoming the limitations of previous state-of-the-art natural language processing solutions.

Natural Language Processing 141

Natural Language Processing Data Science Machine Learning Machine Learning 141

Data Science Dojo

OCTOBER 31, 2024

For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Data Science Dojo

MAY 18, 2023

Distributed System Design for Data Engineering: This talk will provide an overview of distributed system design principles and their applications in data engineering. Getting Started with SQL Programming: Are you starting your journey in data science?

Data Science 195

Data Science AI AI Deep Learning 195

Pickl AI

JUNE 5, 2025

In the Indian context, data scientists often work in dynamic environments such as IT services, fintech, e-commerce, healthcare, and telecom sectors. They are expected to be versatile, handling everything from data engineering and exploratory analysis to deploying machine learning models and communicating insights to business stakeholders.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

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. Data Engineering Platforms Spark is still the leader for data pipelines but other platforms are gaining ground.

Data Science 111

Data Science Deep Learning Deep Learning Natural Language Processing 111

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

Applied Data Science

AUGUST 2, 2021

With a range of role types available, how do you find the perfect balance of Data Scientists , Data Engineers and Data Analysts to include in your 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

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 such as data cleansing, aggregation, and trend analysis play a critical role in ensuring data quality and relevance. Data Scientists rely on technical proficiency.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

AWS Machine Learning Blog

DECEMBER 29, 2022

Many of the RStudio on SageMaker users are also users of Amazon Redshift , a fully managed, petabyte-scale, massively parallel data warehouse for data storage and analytical workloads. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

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AWS Machine Learning Machine Learning Natural Language Processing 135

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.

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AI AI Data Observability Artificial Intelligence 243

AWS Machine Learning Blog

AUGUST 12, 2024

Data is presented to the personas that need access using a unified interface. For example, it can be used to answer questions such as “If patients have a propensity to have their wearables turned off and there is no clinical telemetry data available, can the likelihood that they are hospitalized still be accurately predicted?”

ML 123

ML ML AWS AI 123

ODSC - Open Data Science

APRIL 14, 2023

Like many other career fields, data science and all of the sub-fields such as artificial intelligence, responsible AI, data engineering, and others aren’t immune to the dynamic nature of emerging technology, trends, and other variables both outside and within the world of data.

Data Science 98

Data Science AI AI Data Engineering 98

ODSC - Open Data Science

AUGUST 15, 2023

Build Classification and Regression Models with Spark on AWS Suman Debnath | Principal Developer Advocate, Data Engineering | Amazon Web Services This immersive session will cover optimizing PySpark and best practices for Spark MLlib. Free and paid passes are available now–register here.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

ODSC - Open Data Science

FEBRUARY 5, 2025

The Evolving AI Development Lifecycle Despite the revolutionary capabilities of LLMs, the core development lifecycle established by traditional natural language processing remains essential: Plan, Prepare Data, Engineer Model, Evaluate, Deploy, Operate, and Monitor.

Data Preparation 52

Data Preparation AI AI Data Scientist 52

phData

MAY 28, 2024

Cortex offers a collection of ready-to-use models for common use cases, with capabilities broken into two categories: Cortex LLM functions provide Generative AI capabilities for natural language processing, including completion (prompting) , translation, summarization, sentiment analysis , and vector embeddings.

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineer 52

phData

FEBRUARY 10, 2023

This opens up a data engineer to create their transformation in Snowflake using python code instead of just SQL. Sentiment Analysis is a natural language processing (NLP) technique that tries to determine if data is positive or negative. dbt is a tool to do transformations on data once it is loaded.

Python 59

Python Machine Learning Machine Learning SQL 59

Pickl AI

JANUARY 13, 2025

Key Skills Expertise in statistical analysis and data visualization tools. Proficiency in programming languages like Python and SQL. Key Skills Proficiency in data visualization tools (e.g., Familiarity with SQL for database management. Proficiency in Data Analysis tools for market research.

AI 52

AI AI Machine Learning Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 19, 2023

It lets engineers provide simple data transformation functions, then handles running them at scale on Spark and managing the underlying infrastructure. This enables data scientists and data engineers to focus on the feature engineering logic rather than implementation details. Group by model_year_status.

ML 125

ML ML AWS SQL 125

IBM Journey to AI blog

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. Python is the most common programming language used in machine learning.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JUNE 19, 2024

Introduction to Data Science Courses Data Science courses come in various shapes and sizes. There are beginner-friendly programs focusing on foundational concepts, while more advanced courses delve into specialized areas like machine learning or natural language processing.

Data Science 52

Data Science Data Scientist Hypothesis Testing Natural Language Processing 52

IBM Journey to AI blog

JULY 17, 2023

offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting. This allows users to accomplish different Natural Language Processing (NLP) functional tasks and take advantage of IBM vetted pre-trained open-source foundation models.

AI 74

AI AI Machine Learning Machine Learning 74

Dataconomy

JULY 28, 2023

Data preprocessing is a fundamental and essential step in the field of sentiment analysis, a prominent branch of natural language processing (NLP). Trifacta Trifacta is a data profiling and wrangling tool that stands out with its rich features and ease of use.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

phData

DECEMBER 7, 2023

This is why it makes them appropriate for storing and retrieving non-traditional data sources like documents, images, and audio files. Querying Mechanism Relational databases depend on SQL (Structured Query Language) for querying. You might ask for data that meets certain criteria (ex. into vector embeddings.

Database 52

Database Natural Language Processing Clustering SQL 52

phData

JULY 18, 2024

Many data engineering consulting companies could also answer these questions for you, or maybe you think you have the talent on your team to do it in-house. Expertise Here at phData, we strive to be experts in data engineering, analytics, and machine learning. Why phData? Why should you choose phData to help?

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Data Engineering 52

ODSC - Open Data Science

JANUARY 7, 2025

Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well. While knowing Python, R, and SQL is expected, youll need to go beyond that. Employers arent just looking for people who can program.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. This provides end-to-end support for data engineering and MLOps workflows.

Machine Learning 134

Machine Learning Machine Learning ML ML 134