ODSC - Open Data Science

MAY 26, 2023

We will kick the conference off with a virtual Keynote talk from Henk Boelman, Senior Cloud Advocate at Microsoft, Build and Deploy PyTorch models with Azure Machine Learning. Both virtual and in-person attendees will have a wide range of training sessions, workshops, and talks to choose from.

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python is a High-level, Procedural, and object-oriented language; it is also a vast language itself, and covering the whole of Python is one the worst mistakes we can make in the data science journey.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

ODSC - Open Data Science

OCTOBER 26, 2023

Our virtual partners include: Microsoft Azure | Qwak | Tangent Works | MIT | Pachyderm | Boston College | ArangoDB | DataGPT | Upsolver On-Demand Training You’ll also have access to our on-demand Primer Courses that cover a wide range of data science topics essential for success in the field. So, don’t delay.

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

Pickl AI

MAY 17, 2023

Steps to Become a Data Scientist If you want to pursue a Data Science course after 10th, you need to ensure that you are aware the steps that can help you become a Data Scientist. Understand Databases: SQL is useful in handling structured data, query databases and prepare and experiment with data.

Data Scientist 52

Data Scientist Data Science Data Wrangling SQL 52

The MLOps Blog

OCTOBER 20, 2023

Example template for an exploratory notebook | Source: Author How to organize code in Jupyter notebook For exploratory tasks, the code to produce SQL queries, pandas data wrangling, or create plots is not important for readers. in a pandas DataFrame) but in the company’s data warehouse (e.g., documentation.

SQL 52

SQL Database Data Scientist Python 52

Pickl AI

JUNE 7, 2024

Comprehensive Data Management: Supports data movement, synchronisation, quality, and management. Scalability: Designed to handle large volumes of data efficiently. It offers connectors for extracting data from various sources, such as XML files, flat files, and relational databases. How to drop a database in SQL server?

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

ODSC - Open Data Science

JANUARY 18, 2024

Data scientists typically have strong skills in areas such as Python, R, statistics, machine learning, and data analysis. Believe it or not, these skills are valuable in data engineering for data wrangling, model deployment, and understanding data pipelines. Learn more about the cloud.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

JANUARY 29, 2024

Python boasts a vast ecosystem of libraries like TensorFlow, PyTorch, Pandas, NumPy, and Scikit-learn, empowering prompt engineers to handle data wrangling and analysis seamlessly. R also excels in data analysis and visualization, which are important in understanding the output of LLMs and in fine-tuning prompt strategies.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52