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

Towards AI

JULY 19, 2023

Cloud Computing, Natural Language Processing Azure Cognitive Services Text Analytics is a great tool you can use to quickly evaluate a text data set for positive or negative sentiment. What is Azure Cognitive Services Text Analytics? Set Azure Cognitive Services API and Key.

Azure 40

Azure Natural Language Processing Analytics Analytics 40

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

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. Popular options among cloud computing are amazon web services, google cloud, and Microsoft azure. Natural Language Processing (NLP). In some cases, the algorithm responds in human language.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

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

MARCH 10, 2025

It was built using a combination of in-house and external cloud services on Microsoft Azure for large language models (LLMs), Pinecone for vectorized databases, and Amazon Elastic Compute Cloud (Amazon EC2) for embeddings. Amazon Bedrock Guardrails implements content filtering and safety checks as part of the query processing pipeline.

AWS 103

AWS Database AI AI 103

Mlearning.ai

MAY 23, 2023

Familiarity with libraries like pandas, NumPy, and SQL for data handling is important. Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus. This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA).

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

MAY 11, 2023

Origins of Generative AI and Natural Language Processing with ChatGPT Joining in on the fun of using generative AI, we used ChatGPT to help us explore some of the key innovations over the past 50 years of AI. 5 Things I Learned Writing SQL with Gen AI DataDistillr has found some interesting uses for generative AI.

AI 52

AI AI Data Science Azure 52

Pickl AI

FEBRUARY 18, 2025

It offers AI-driven analytics, including Natural Language Processing. Supports diverse data sources: Excel, SQL Server, Azure, and more. Also, it supports a wide range of data sources, including Excel spreadsheets, cloud services like Azure, and on-premises databases. Can Power BI Handle Real-Time Data?

Power BI 52

Power BI Azure SQL Business Intelligence 52

Pickl AI

JANUARY 13, 2025

Proficiency in programming languages like Python and SQL. Key Skills Experience with cloud platforms (AWS, Azure). Familiarity with SQL for database management. Key Skills Proficiency in programming languages such as Python or Java. Salary Range: 12,00,000 – 35,00,000 per annum.

AI 52

AI Machine Learning AI Machine Learning 52

Women in Big Data

DECEMBER 9, 2024

Examples include SQl, DWH, and Cloud based systems (Google Bigquery). It integrates seamlessly with a wide range of data sources like Excel, Azure and SQL server, Salesforce, SAP Hana, IBM Netezza and CDP which makes it a compelling choice for businesses that have already invested in the Microsoft ecosystem.

Big Data 52

Big Data Big Data Power BI Tableau 52

ODSC - Open Data Science

AUGUST 24, 2023

Start Learning AI With the ODSC West Data Primer Series In this six-part series as part of the ODSC West mini-bootcamp, you’ll learn everything you need to know to get started with AI, including SQL, machine learning, and even LLMs.

Data Lakes 52

Data Lakes Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

MAY 25, 2023

His past roles have included work in analytics, big data, R, SQL, data mining, and more. Vargas’ responsibilities at Microsoft also include advisor to Microsoft CTO, AI scalability, and strategy expert, and lead for the organization’s AI at Scale Initiative and Azure Database Services.

Data Science 52

Data Science Machine Learning Machine Learning Database 52

Pickl AI

MARCH 10, 2025

Key Features Data Import: Connects to multiple data sources like Excel, SQL Server, or cloud services. Scalability for Large Datasets Power BI can handle massive datasets efficiently using its in-memory analytics engine and Azure integration. Data Transformation: Uses the Power Query Editor to clean and transform raw data.

Power BI 52

Power BI Business Intelligence Business Intelligence Analytics 52

Pickl AI

SEPTEMBER 18, 2024

Tech companies, they might focus on developing recommendation systems, fraud detection algorithms, or Natural Language Processing tools. offer specialised Machine Learning and Artificial Intelligence courses covering Deep Learning , Natural Language Processing, and Reinforcement Learning.

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 52

Mlearning.ai

JUNE 23, 2023

Relational databases (like MySQL) or No-SQL databases (AWS DynamoDB) can store structured or even semi-structured data but there is one inherent problem. Options (Free vs Paid) Closing Introduction In today’s increasingly globalized world, the ability to communicate in multiple languages has become a highly valuable skill.

Database 52

Database ML ML Natural Language Processing 52

The MLOps Blog

JUNE 27, 2023

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. Soda Core Soda Core is an open-source data quality management framework for SQL, Spark, and Pandas-accessible data.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

ODSC - Open Data Science

JANUARY 29, 2024

Leaving aside the more established skills here’s a visual look at the newer skills Natural Language Processing (NLP), Tokenization, Transformers, Representation Learning and Knowledge Graphs NLP (Natural Language Processing) The NLP engineer can be considered a precursor to the Promt Engineer.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

ODSC - Open Data Science

JANUARY 7, 2025

While knowing Python, R, and SQL is expected, youll need to go beyond that. Natural Language Processing (NLP) has emerged as a dominant area, with tasks like sentiment analysis, machine translation, and chatbot development leading the way. Employers arent just looking for people who can program.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

DECEMBER 4, 2024

Enhanced Data Visualisation: Augmented analytics tools often incorporate natural language processing (NLP), allowing users to query data in conversational terms and receive visualised insights instantly. Develop Programming Skills Proficiency in programming languages is crucial for Data Scientists.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

APRIL 2, 2024

Tools and Technologies Python/R: Popular programming languages for data analysis and machine learning. SQL (Structured Query Language): Language for managing and querying relational databases. Hadoop/Spark: Frameworks for distributed storage and processing of big data.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

DagsHub

OCTOBER 23, 2024

Here’s the structured equivalent of this same data in tabular form: With structured data, you can use query languages like SQL to extract and interpret information. In contrast, such traditional query languages struggle to interpret unstructured data. Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

The MLOps Blog

MAY 10, 2023

2 For dynamic models, such as those with variable-length inputs or outputs, which are frequent in natural language processing (NLP) and computer vision, PyTorch offers improved support. This allows for more flexibility in modifying the model during training or inference. or NoSQL databases like MongoDB , Cassandra , etc.

Python 105

Python ML ML Database 105

The MLOps Blog

MARCH 21, 2023

One of the areas I encourage folks to think about when it comes to language choice is the community support behind things. I have worked with customers where R and SQL were the first-class languages of their data science community. Let’s look at the healthcare vertical for context.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

The MLOps Blog

MARCH 20, 2025

Capturing the user interactions and refining prompts with few-shot learning helps LLMs adapt to evolving language and user preferences. Large Language Models (LLMs) perform exceptionally well on various Natural Language Processing (NLP) tasks, such as text summarization, question answering, and code generation.

Azure 59

Azure Python Database Algorithm 59