Jeremy Grace

5 Abonné

Passionate, detail-oriented professional. Aspiring data scientist with a reputation for systematically solving complex data problems - in the areas of development, operations, and business intelligence. Eagle Scout & lifelong learner, self-motivated to achieve strategic goals. Articulate communicator with client-facing and cross-functional team experience. Career-driven, building expertise in data science, big data, and deep learning. Areas of Interest / Specialization in: • Data Science, • Data Visualization, • Machine Learning, • Optimization, • Deep Learning • and User Interface (UI)

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Jeremy Grace

Tips and Tricks to be an Effective Data Scientist

Collaborative Filtering with Spark

word2vec, LDA, and introducing a new hybrid algorithm: lda2vec

Ridge regression, lasso and elastic net

Advanced Spark and TensorFlow Meetup May 26, 2016

Neural Networks and Deep Learning

Deep Learning with Python (PyData Seattle 2015)

PyData SF 2016 --- Moving forward through the darkness

Python for Image Understanding: Deep Learning with Convolutional Neural Nets

Deep Learning - The Past, Present and Future of Artificial Intelligence

TensorFrames: Google Tensorflow on Apache Spark

Google Cloud Platform Empowers TensorFlow and Machine Learning

Foundations for Scaling ML in Apache Spark

Combining Machine Learning Frameworks with Apache Spark

Generalized Linear Models in Spark MLlib and SparkR

2015-06-15 Large-Scale Elastic-Net Regularized Generalized Linear Models at Spark Summit 2015

Character Encoding & Unicode - How to (╯°□°）╯︵ ┻━┻ with dignity

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

Unified Big Data Processing with Apache Spark (QCON 2014)

High Performance Python on Apache Spark