-
 Approaching (Almost) Any Machine Learning Problem
This freely-available book is a fantastic walkthrough of practical approaches to machine learning problems.
-
Getting Started with 5 Essential Natural Language Processing Libraries
By Matthew Mayo, KDnuggets Managing Editor on February 3, 2021 in Data Preparation, Data Preprocessing, Data Visualization, Hugging Face, NLP, Python, spaCy, Text Analytics, TransformerThis article is an overview of how to get started with 5 popular Python NLP libraries, from those for linguistic data visualization, to data preprocessing, to multi-task functionality, to state of the art language modeling, and beyond.
-
Graph Representation Learning: The Free eBook
This free eBook can show you what you need to know to leverage graph representation in data science, machine learning, and neural network models.
-
JupyterLab 3 is Here: Key reasons to upgrade now
Read about these 3 reasons for checking out JupyterLab 3 today.
-
 15 Free Data Science, Machine Learning & Statistics eBooks for 2021
By Matthew Mayo, KDnuggets Managing Editor on December 31, 2020 in Automated Machine Learning, Data Science, Deep Learning, Free ebook, Machine Learning, NLP, Python, R, StatisticsWe present a curated list of 15 free eBooks compiled in a single location to close out the year.
-
Generating Beautiful Neural Network Visualizations
If you are looking to easily generate visualizations of neural network architectures, PlotNeuralNet is a project you should check out.
-
Data Science and Machine Learning: The Free eBook
Check out the newest addition to our free eBook collection, Data Science and Machine Learning: Mathematical and Statistical Methods, and start building your statistical learning foundation today.
-
State of Data Science and Machine Learning 2020: 3 Key Findings
Kaggle recently released its State of Data Science and Machine Learning report for 2020, based on compiled results of its annual survey. Read about 3 key findings in the report here.
-
R or Python? Why Not Both?
Do you use both R and Python, either in different projects or in the same? Check out prython, an IDE designed to handle your needs.
-
AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021
By Matthew Mayo, KDnuggets Managing Editor on December 3, 2020 in 2021 Predictions, AI, Ajit Jaokar, Analytics, Brandon Rohrer, Daniel Tunkelang, Data Science, Deep Learning, Machine Learning, Pedro Domingos, Predictions, Research, Rosaria Silipo2020 is finally coming to a close. While likely not to register as anyone's favorite year, 2020 did have some noteworthy advancements in our field, and 2021 promises some important key trends to look forward to. As has become a year-end tradition, our collection of experts have once again contributed their thoughts. Read on to find out more.
|
Approaching (Almost) Any Machine Learning Problem
15 Free Data Science, Machine Learning & Statistics eBooks for 2021
Generating Beautiful Neural Network Visualizations
R or Python? Why Not Both?