TensorFlow Archives - Open Data Science - Your News Source for AI, Machine Learning & more

Why TensorFlow Will Stand Out on Your Resume in 2021

Data Visualization Deep Learning Machine Learning TensorFlowposted by Alex Landa, ODSC November 23, 2020

You have likely heard about TensorFlow in the machine & deep learning circles for quite a while now, and for good reason. This Google-developed framework excels where many other libraries don’t, such as with its scalable nature designed for production deployment. With that, here are just... Read more

10 Notable Frameworks for NLP

Modeling NLP/Text Analytics bert chainer ernie frameworks Keras NLP PyTorch Scikit-Learn spaCy TensorFlowposted by Elizabeth Wallace, ODSC February 28, 2020

Natural Language Processing hit its big stride back in 2017 with the introduction of Transformer Architecture from Google. State of the art approaches helped bridge the gap between humans and machines and helped us build bots capable of using human language undetected. It’s an exciting time.... Read more

5 Deep Learning Frameworks to Consider for 2020

Deep Learning Modeling caffe frameworks Keras microsoft cognitive toolkit TensorFlowposted by ODSC Community February 24, 2020

Enough of flirting with deep learning and deep learning frameworks; it’s time to glide across the room and say, “Hello.” Call it an advanced subfield of machine learning or future to enhanced vision in the field of technology, deep learning won’t stop now! Imbibed in the... Read more

Major Updates to the Most Popular Data Science Frameworks in 2019

Featured Post Modeling Tools & Languages 2020 chainer Fast.ai Keras mxnet PyTorch Scikit-Learn Spark spark mllib TensorFlowposted by Daniel Gutierrez, ODSC January 28, 2020

This time last year we brought you a detailed report of all the important updates for popular data science (machine learning and deep learning) frameworks throughout 2018. The developers of these frameworks continue to innovate at an accelerated rate. Data scientists demand more powerful tools in... Read more

Top 7 Machine Learning Frameworks for 2020

Machine Learning Modeling caffe firebase Keras microsoft cognitive toolkit PyTorch Scikit-Learn TensorFlowposted by Elizabeth Wallace, ODSC January 27, 2020

Machine learning is a nightmare without some kind of structure. You can’t build everything from scratch, especially if you’re in a business setting. Even if you want to (and if you do, comment here and tell us about it!), you don’t have time in most cases.... Read more

Deep Learning Frameworks You Need to Know in 2020

Deep Learning Modeling 2020 chainer Keras microsoft cognitive toolkit mxnet PyTorch Spark TensorFlowposted by Elizabeth Wallace, ODSC December 30, 2019

Deep learning networks have a mind-boggling ability to learn, so training these models requires massive computing power and intense amounts of data. You’ll need a framework to make that development easier. Deep learning requires massive processing power and lots of data. Because it uses unstructured, often non-text... Read more

Using Keras and TensorFlow in R

R Tools & Languages Keras R TensorFlowposted by Jacey Heuer November 12, 2019

Keras and Tensorflow are two very powerful packages that are normally accessed via python. Since the packages were developed for python they may have the illusion of being out of reach for R users. However, this is not the case as the Keras and Tensorflow packages... Read more

Announcing the ODSC West 2019 Data Science Award Winners

Uncategorized Data Science Awards DataKind MLR SHAP TensorFlow West 2019posted by ODSC Team November 4, 2019

ODSC was started with a desire to build a community around data science and to make it more accessible. Sheamus McGovern, the founder of ODSC, said: “in this attempt, we owe a debt of gratitude .” Open source work is really... Read more

Software 2.0 and Snorkel: Beyond Hand-Labeled Data

Machine Learning Modeling hand labeled data labled training data sets TensorFlow West 2018posted by Daniel Gutierrez, ODSC October 28, 2019

This ODSC West 2018 talk “Software 2.0 and Snorkel: Beyond Hand-Labeled Data,” presented by Alex Ratner, a Ph.D. student in Computer Science at Stanford University, discusses a new way of effectively programming machine learning systems using what’s called “weaker supervision,” and how it enables domain experts... Read more

Using an Embedding Matrix on Tabular Data in R

Modeling R Tools & Languages embedding matrix TensorFlowposted by Jacey Heuer October 22, 2019

How would you tackle the prospects of representing a categorical feature, with 100’s of levels, in a model? A first approach may be to create a one-hot encoded matrix representing each level of the feature. The result would be a large and sparse matrix where the... Read more