ODSC - Open Data Science

MAY 24, 2023

Our use case within the banking industry To assist financial managers in responding to customer requests, we trained a sequence-to-sequence deep learning neural network with more than one million query-answer pairs. She has worked in several analytical domains, ranging from Retail and Urban Analysis to Customer Intelligence.

NLP 52

NLP Neural Network Natural Language Processing Data Science 52

Pickl AI

AUGUST 1, 2023

In this article, we will explore the concept of applied text mining in Python and how to do text mining in Python. Introduction to Applied Text Mining in Python Before going ahead, it is important to understand, What is Text Mining in Python? Frequently Asked Questions How does text mining differ from data mining?

Data Analysis 52

Data Analysis Python Categorization Data Mining 52

NLP People

APRIL 10, 2019

Other healthcare companies in Switzerland, which employ Data Scientists, NLP and Machine learning experts include Sanitas and Swiss Life and Roche , News / Media Monitoring: Media companies employing NLP specialists and Computational Linguists include Tamedia , ARGUS , Eurospider. Diego Antognini is a second year Ph.D.

NLP 52

NLP Computational Linguistics Natural Language Processing Data Mining 52

Lexalytics

APRIL 5, 2021

They were not wrong: the results they found about the limitations of perceptrons still apply even to the more sophisticated deep-learning networks of today. Fast-forward a couple of decades: I was (and still am) working at Lexalytics, a text-analytics company that has a comprehensive NLP stack developed over many years.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Mlearning.ai

FEBRUARY 27, 2023

I came across a great book from Sergios Karagiannakos named “Deep Learning in Production” and decided to use it as the blueprint to apply the OOP principles and practices to refactor the first project above. load_data(self.config.data) self.x, save_model_with_timestamp(self.vectorizer, self.model, output_config) 4.

Data Science 52

Data Science Python Deep Learning Text Analytics 52

Pickl AI

JULY 20, 2023

Prescriptive Analytics Projects: Prescriptive analytics takes predictive analysis a step further by recommending actions to optimize future outcomes. Image Recognition with Deep Learning: Use Python with TensorFlow or PyTorch to build an image recognition model (e.g., CNN) and classify images from a large dataset (e.g.,

Big Data 40

Big Data Natural Language Processing Machine Learning Python 40

Unite.AI

NOVEMBER 6, 2024

By that time, deep learning was exploding in popularity, but it was mainly AI engineers who were putting it to use because nobody else had the expertise to train and serve these models. This process trains deep learning models which are capable of accurately classifying and generating new text.

Large Language Models 157

Large Language Models Deep Learning Machine Learning Algorithm 157