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Using Keras and TensorFlow in R
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 may be set... Read more
Announcing the ODSC West 2019 Data Science Award Winners
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 the backbone of... Read more
Software 2.0 and Snorkel: Beyond Hand-Labeled Data
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 who don’t know... Read more
Using an Embedding Matrix on Tabular Data in R
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 majority of the... Read more
Deep Learning with TensorFlow 2.0
Editor’s Note: See Jon’s talk “Deep Learning with TensorFlow 2.0” at ODSC West 2019.  This summer, I had a blast speaking at Immersive A.I.—the first annual Open Data Science Conference (ODSC) event in New York. The venue was flawless, the organizers were exceptionally well-prepared, and there was a remarkable... Read more
Bears Need to Learn as well – Practical Reinforcement Learning with TensorFlow 2.0 & TF-Agents
Editor’s Note: Oliver is speaking at ODSC West 2019, see his talk “Reinforcement Learning with TF Agents & TensorFlow 2.0: Hands On” there. Have a look at our friend Orso the bear.  Orso lives in his cave and knows his area and where he can typically find some honey.... Read more
What is TensorFlow?
It would be a challenge nowadays to find a machine learning engineer who has heard nothing about TensorFlow. Initially created by Google Brain team for some internal purposes, such as spam filtering on Gmail, it was open-sourced in 2015 and became the most popular deep learning framework in the... Read more
Stream Data Processing with Apache Kafka and TensorFlow
Editor’s note: Yong is a speaker for the upcoming ODSC East 2019 this April 30 – May 3! Be sure to check out his talk, “Deep Learning for Real Time Streaming Data with Kafka and TensorFlow.” As one of the most popular deep learning frameworks, TensorFlow has been used... Read more
2018 Major Updates to the Most Popular Data Science Frameworks
New data science projects, tools, and frameworks are popping up at a hectic pace.  However, most of us are already using many of the major and most popular ones. Read on and check out major releases of some of the most popular frameworks you may have missed in 2018. PyTorch:... Read more
Find Where to Park in Real Time Using OpenCV and TensorFlow
Introduction How many times has it happened to you that you are searching for a parking spot by driving around and around the parking lot. How convenient would it be if your phone could tell you exactly where the closest parking spot is! It turns out that this is... Read more