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Tag: Tensorflow

Google releases TF-GNN for creating graph neural networks in TensorFlow
Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph-structured data using TensorFlow, its machine learning framework. Used in production at Google for spam and anomaly detection, traffic estimation, and YouTube content labeling, Google says that TF-GNN is designed …
Topic Modeling and Sentiment Classification of Tweets
Github Background and Motivation For any company that provides a product or service, understanding its audience is essential. Understanding and listening to what the audience of its product is saying, whether it be positive or negative, can guide companies into making changes to their product that keep their customers happy. …
Attention Monitoring
LinkedIn | GitHub | Email | Notebook The Idea Hate to break it to you, but you cannot trust people. Initially, there were no cabin-facing cameras in Tesla vehicles. It was thought that an agreement before using Autopilot and detecting whether adequate pressure was applied to the steering wheel was …
How to Build a Scalable Wide and Deep Product Recommender
Download the notebooks referenced throughout this article. I have a favorite coffee shop I’ve been visiting for years. When I walk in, the barista knows me by name and asks if I’d like my usual drink. Most of the time, the answer is “yes”, but every now and then, I …
Understanding Google’s AI SERP Algorithms is Key to Successful SEO Strategies
Google is one of the pioneers in modern artificial intelligence technology. The search engine giant is the parent company of over 200 other brands. Many of these companies have made major developments in AI. However, Google’s most promising developments in the field of AI have centered around the technology it …
Choosing the right Machine Learning Framework
Discover key considerations for selecting the right machine learning framework for your project, and learn about 4 popular ML frameworks.
How to get started in AI development
Artificial intelligence is becoming crucial for businesses that want to compete and survive. In fact, if you’re not using AI in 2021, there’s a good chance you lose out to your competitors. Of course, that makes AI development a highly sought after career, as more companies need to hire skilled …
A Machine Learning Approach to Predicting Loan Defaults
Lending Club was a peer-to-peer lending platform that connected investors to borrowers. They were an alternative to the traditional bank lending system. One of the appeals of Lending Club is that the loans they facilitated were of lower interest rates compared to banks because Lending Club only took a flat …
%tensorboard – a new way to use TensorBoard on Databricks
Introduction With the Databricks Runtime 7.2 release, we are introducing a new magic command %tensorboard. This brings the interactive TensorBoard experience Jupyter notebook users expect to their Databricks notebooks. The %tensorboard command starts a TensorBoard server and embeds the TensorBoard user interface inside the Databricks notebook for data scientists and …
Book Review: Deep Learning with TensorFlow 2 and Keras
If you’re a data scientist who has been wanting to break into the deep learning realm, here is a great learning resource that can guide you through this journey. It’s pretty much an all-inclusive resource that includes all the popular methodologies upon which deep learning depends: CNNs, RNNs, RL, GANs, …
Simplify Data Conversion from Apache Spark to TensorFlow and PyTorch
Petastorm is a popular open-source library from Uber that enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. We are excited to announce that Petastorm 0.9.0 supports the easy conversion of data from Apache Spark DataFrame to TensorFlow Dataset and PyTorch …
Cloud Data Science 11
Even with the coronavirus causing mass closures, there are still some big announcements in the cloud data science world. Google is starting to take enterprise AI seriously and Amazon is continuing to do interesting things. So, here is the news. News Google introduces Cloud AI Platform PipelinesGoogle Cloud now provides …
Cloud Data Science 11
Even with the coronavirus causing mass closures, there are still some big announcements in the cloud data science world. Google is starting to take enterprise AI seriously and Amazon is … The post Cloud Data Science 11 appeared first on Data Science 101.
Book Review: Python Machine Learning – Third Edition by Sebastian Raschka, Vahid Mirjalili
I had been looking for a good book to recommend to my "Introduction to Data Science" classes at UCLA as a text to use once my class completes ... sort of the next step after learning the basics. That's why I was looking forward to reviewing the new 3rd edition …
Tensorflow basics : Matrix operations
4 Basic operations for working with matrixes in tensorflow
Databricks Demonstrates AWS Platform Integrations at re:Invent 2019
Databricks was proud to be a Platinum sponsor at re:Invent. The past year has been an exciting one for our partnership with AWS, as we built new integrations and deepened existing ones with so many AWS services. re:Invent was a great opportunity to showcase how our joint customers have benefitted …
Data Drift Detection for Image Classifiers
This article covers how to detect data drift for models that ingest image data as their input in order to prevent their silent degradation in production. Run the example in a complementary Domino project. Introduction: preventing silent model degradation in production In the real word, data is recorded by different …
Managed MLflow Now Available on Databricks Community Edition
In February 2016, we introduced Databricks Community Edition, a free edition for big data developers to learn and get started quickly with Apache Spark. Since then our commitment to foster a community of developers remains steadfast: to date, we have over 150K registered Community Edition users; we have trained thousands …