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 Scientist Data Wrangling 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. It can be easily ported to multiple platforms.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

JULY 18, 2023

Learn data manipulation and analysis: Familiarize yourself with tools and techniques for data manipulation, exploration, and analysis. Common libraries in Python, such as pandas and NumPy, are essential for data cleaning, preprocessing, and transformation.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Pickl AI

JULY 10, 2023

R’s machine learning capabilities allow for model training, evaluation, and deployment. · Text Mining and Natural Language Processing (NLP): R offers packages such as tm, quanteda, and text2vec that facilitate text mining and NLP tasks.

Data Science 52

Data Science Data Scientist Machine Learning 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

Pickl AI

JULY 18, 2023

Explore topics such as regression, classification, clustering, neural networks, and natural language processing. Data Manipulation and Preprocessing Proficiency in data preprocessing techniques, feature engineering, and data wrangling to ensure the quality and reliability of input data.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

D Data Mining : The process of discovering patterns, insights, and knowledge from large datasets using various techniques such as classification, clustering, and association rule learning. Data Wrangling: The cleaning, transforming, and structuring of raw data into a format suitable for analysis.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 10, 2025

The Early Years: Laying the Foundations (20152017) In the early years, data science conferences predominantly focused on foundational topics like data analytics , visualization , and the rise of big data. The Deep Learning Boom (20182019) Between 2018 and 2019, deep learning dominated the conference landscape.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52