大數據分析 Google Cloud A.I. Adventures 15 Episodes:
What is Machine Learning?
The world is filled with data. Lots and lots of data: pictures, music, words, spreadsheets, videos and more. Machine learning derives meaning from all of that data.
The 7 Steps of Machine Learning
From detecting skin cancer, to sorting cucumbers, to detecting escalators in need of repairs, machine learning has granted computer systems entirely new abilities.
Plain and Simple Estimators?
The tools for machine learning have gotten dramatically better, and training your own model has never been easier.
Serverless Predictions at Scale
Once we are happy with your trained machine learning model, how can we serve up predictions at scale?
Visualizing Your Model Using TensorBoard
Use TensorBoard to visualize your model and debug problems.
Estimators Revisited: Deep Neural Networks
Learn how to train on increasingly complex datasets by converting a linear model to a deep neural network!
Big Data for Training Models in the Cloud
What happens when our training data is too big to fit on our machine, or training the model starts to take hours?
Natural Language Generation at Google Research
Google Research engineer Justin Zhao to talk about natural text generation, recurrent neural networks, and state of the art research!
Distributed Training in the Cloud
By leveraging in the cloud machine learning engine, we can quickly and easily train TensorFlow models without worrying about configuring servers installing drivers and libraries.
Machine Learning Meets Fashion
Wworking through an end-to-end example with a fashionable dataset.
Which Python Package Manager Should You Use?
Manage your Python environment for machine learning and data science; make an informed decision based on your needs.
Wrangling Data with Pandas
Explores the fascinating world of pandas, an open-source python library that provides easy to use, high-performance data structures and data analysis tools.
Introduction to Kaggle Kernels
How to use Kaggle Kernels to do data science in your browser without any downloads!
Jupyter Tips and Tricks
Explores Jupyter to bring back some tips and tricks for your data science workflow!
Datalab: Notebook in the Cloud
How to use Cloud Datalab to use a notebook in the cloud to do data science on large datasets!
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