Towards AI

DECEMBER 28, 2023

So, python is the MOST important prerequisite for venturing into the GenAI world as a developer. NLP fundamentals — Under this, basics of NLP have to be learned, like tokenization, stemming, lemmatization, POS tagging, NER, Text representation- BOW, Word2vec, etc. Welcome to PyTorch Tutorials – PyTorch Tutorials 2.2.0+cu121

Natural Language Processing 109

Natural Language Processing Deep Learning Deep Learning Python 109

IBM Data Science in Practice

MARCH 8, 2023

Data Platforms Andreessen Horowitz , a prominent venture capital firm, predicts that the abundance of new tools in the machine learning industry will eventually lead to consolidation around a data-centric approach , prioritizing advanced data management. This would eliminate duplicate work and save time and effort for the team.

Machine Learning 264

Machine Learning Machine Learning ML ML 264

Smart Data Collective

MARCH 5, 2022

There are a lot of ways to capitalize off of your knowledge of data science. You might have an easier time reverse engineering this algorithm as a data scientist by conducting regression analyses based on observable variables, such as tags, video usage, types of listing images and the presence of certain keywords in listing descriptions.

Data Scientist 134

Data Scientist Data Mining Data Mining Data Mining 134

The MLOps Blog

AUGUST 3, 2023

Can you tell us a little bit more about your current venture, DAGWorks ? At a high level, we are trying to make machine learning initiatives more human capital efficient by enabling teams to more easily get to production and maintain their model pipelines, ETLs, or workflows. Stefan: Sure. And so then it was just one field in the row.

ML 52

ML ML Data Scientist Machine Learning 52