Humans of Machine Learning The Future of AI is Open This Humans of ML interview with Han Xiao covers the ethics of AI, open-source entrepreneurship, how writing made Han a better coder, and more.
Data Science FloydHub Cloud Setup Challenge: Jupyter + TensorFlow in 44 seconds [WR] Is it possible for data science beginners to get up and running in under 90 seconds? FloydHub’s team takes on the setup cloud challenge - and walks away with the trophy. (For now!)
Humans of Machine Learning Talking ML and Cloud Transformation at AI-First Companies with @searchguy, aka Antonio Gulli This Humans of Machine Learning interview has us sitting down with Searchguy, aka Antonio Gulli, who’s been a pioneer in the world of data science for 20+ years now, to talk transformation, opportunity, and mentorship, among other topics.
Machine Learning Best Machine Learning Books (Updated for 2020) The list of the best machine learning & deep learning books for 2020.
Humans of Machine Learning Featured Emil’s Story as a Self-Taught AI Researcher This Humans of Machine Learning interview covers Emil Wallner and his hero’s journey, self-taught approach to education, experience with AI, and path to Google.
Deep Learning Best Deep Learning Courses: Updated for 2019 The list of the best machine learning & deep learning courses and MOOCs for 2019.
Deep Learning Best Deep Learning Books: Updated for 2019-2020 The list of the best machine learning & deep learning books for 2019.
Deep Learning Featured Practical Guide to Hyperparameters Optimization for Deep Learning Models Learn techniques for identifying the best hyperparameters for your deep learning projects, including code samples that you can use to get started on FloydHub.
Deep Learning Benchmarking FloydHub instances This post compares all the CPU and GPU instances offered by FloydHub, so that you can choose the right instance type for your training job. Benchmark For our benchmark we decided to use the same tests as used by the Tensorflow project. The Tensorflow benchmark process is explained here [https:
Deep Learning Checkpointing Tutorial for TensorFlow, Keras, and PyTorch Ready to build, train, and deploy AI? Get started with FloydHub's collaborative AI platform for free Try FloydHub for free [https://www.floydhub.com/?utm_source=blog&utm_medium=banner-checkpointing-strategy&utm_campaign=try_floydhub_for_free] This post will demonstrate how to checkpoint your training models on FloydHub so that
![FloydHub Cloud Setup Challenge: Jupyter + TensorFlow in 44 seconds [WR]](/content/images/size/w600/2020/05/big-1.jpg)
