What is big Query ? Second generation of big data at google. It started with GFS and mapreduce (aka sharding of the data). Then Map operation with nodes and then reduce aggregates the data. Mapreduce is a prior step, you …
Slides : Module 1: Introduction to Cloud Dataproc What Qualifies as Unstructured Data? Data without a schema is unstructured. However, if data has a schema or partial schema but it is not helpful to the purposes of analysis or query, …
Author : Tim Marshall Geopolitics looks at the ways in which international affairs can be understood through geographical factors:Climate, demographics, cultural regions, and access to natural resources. China and India never have fought each other. Why? Because between them is …
Author : Guillaume Pitron P17 : Moins de pollution, mais beaucoup plus d’énérgie dans le même temps. Ce n’est dès lors pas un hasard si l’un de ces éléments fut baptisé prométhium à sa découverte par le chimiste Charles Coryell …
Data Science for Beginners Numpy Basics Matplotlib : Plotting in Python Pandas
Data Pipelines Ingesting real-time data poses a number of challenges: Have to scale in real time Have to deal with data being late Have to deal with bad data coming in real time (duplicates, missing data, etc.) Cloud Pub/Sub Distributed …
Notes for the Google Cloud Platform Big Data and Machine Learning Fundamentals course. https://www.coursera.org/learn/gcp-big-data-ml-fundamentals/home/welcome https://console.cloud.google.com WEEK 1 1. Google Cloud Architecture -2. Abstract away scaling, infrastructure -1. Process, store, and deliver pipelines, ML models, etc. -0. Auth 2. Creating a …
Summary of course topics Supervised learning – labeled data Linear regression Logistic regression Neural networks Support vector machines Unsupervised learning – unlabeled data K-means PCA Anomaly detection Special applications/topics Recommender systems Large scale machine learning Advice on building machine learning systems Bias …
Problem description and pipeline Case study focused around photo OCR Three reasons to do this 1) Look at how a complex system can be put together 2) The idea of a machine learning pipeline What to do next How to do it 3) Some more interesting ideas …
Learning with large datasets This set of notes look at large scale machine learning – how do we deal with big datasets? If you look back at 5-10 year history of machine learning, ML is much better now because we have …