NLP Scientist As a Natural language Processing Engineer, you provide machines with the ability to comprehend human languages. You create self-learning NLP applications. You convert natural data into reliable futures using NLP techniques for classification algorithms. ...
Text Data & NLP Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation. transformers (🥇52 · ⭐ 140K) - ...
Optimization algorithmAdam (Kingma & Ba, 2015) [21] is one of the most popular and widely used optimization algorithms and often the go-to optimizer for NLP researchers. It is often thought that Adam clearly outperforms vanilla stochastic gradient descent (SGD). However, while it converges much...
MonkeyLearn is an NLP-powered platform that provides users with a means for gathering insights from text data. This user-friendly platform offers pre-trained models that can perform topic classification, keyword extraction, and sentiment analysis, as well as customized machine learning models that can...
With the resurgence of neural networks in the 2010s, in-depth learning became essential for machine learning practitioners and even for many software engineers. This book provides a wide range of role for data scientists and software engineers with experience in machine learning. You will start wit...
Classification, Clustering, and Information Retrieval through a series of practical case studies. You will learn the necessary skills for using the machine learning techniques to solve complex real-world problems, by identifying the right method for your task and implementing the right algorithm successf...
The models can be used in a number of applications ranging from simple text classification to sophisticated intelligent chat bots.Note that for certain kind of NLP problems, you may not need to build your own models. Instead, pre-built or easily customizable solutions exist which do not require...
Among so manymachine learning applications, spam classification or spam detection is interesting one. Also, it’s a well-known task for an academic project or machine learning research. However, if you are a beginner in this field, you can build or develop a spam classifier using this dataset...
Learn about Octave/Matlab:This course explains how to use Octave or Matlab, which are great for implementing and testing algorithms. Logistic Regression:You will explore logistic regression techniques, which are considered one of the best methods for binary classification problems. ...
What type of model would you recommend for our business needs? An engineer should choose an algorithm and appropriate tools based on a company’s specific problem and data. For instance, certain models (e.g., decision trees) are suitable for handling tabular data resembling spreadsheets, while ...