Data Science Dojo

JUNE 1, 2023

Machine Learning for Data Science by Carlos Guestrin This is an intermediate-level course that teaches you how to use machine learning for data science tasks. The course covers topics such as data wrangling, feature engineering, and model selection. Step up your game and make accurate predictions based on vast datasets.

Machine Learning 195

Machine Learning Machine Learning Natural Language Processing Deep Learning 195

Towards AI

AUGUST 25, 2023

As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). In ML, there are a variety of algorithms that can help solve problems. Mirjalili, Python Machine Learning, 2nd ed.

Machine Learning 98

Machine Learning Machine Learning AI AI 98

ODSC - Open Data Science

JANUARY 25, 2023

The Azure ML team has long focused on bringing you a resilient product, and its latest features take one giant leap in that direction, as illustrated in the graph below (Figure 1). Continue reading to learn more about Azure ML’s latest announcements. This is the motivation behind several of Azure ML’s latest features.

Machine Learning 59

Machine Learning Machine Learning Azure ML 59

ODSC - Open Data Science

AUGUST 15, 2023

More confirmed sessions include Introduction to Large Lange Models (LLMs) | ODSC Instructor Introduction to Data Course | Sheamus McGovern | CEO and Software Architect, Data Engineer, and AI expert | ODSC Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing | Dipanjan (DJ) Sarkar | Lead Data Scientist | Google Developer (..)

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

IBM Journey to AI blog

DECEMBER 16, 2022

Let’s look at five benefits of an enterprise data catalog and how they make Alex’s workflow more efficient and her data-driven analysis more informed and relevant. A data catalog replaces tedious request and data-wrangling processes with a fast and seamless user experience to manage and access data products.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52

Pickl AI

MAY 31, 2023

Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, Natural Language Processing , Statistics and Mathematics. Data Visualisation: The ability to present insights effectively through visualisation of data is an appreciated skill.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

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