Software Alternatives & Reviews

XGBoost VS Google Cloud TPU

Compare XGBoost VS Google Cloud TPU and see what are their differences

XGBoost logo XGBoost

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

Google Cloud TPU logo Google Cloud TPU

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
  • XGBoost Landing page
    Landing page //
    2023-07-30
  • Google Cloud TPU Landing page
    Landing page //
    2023-08-19

XGBoost

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Business & Commerce
  • AI
Website github.com
Details $

Google Cloud TPU

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Data Dashboard
  • Technical Computing
Website cloud.google.com
Details $

XGBoost videos

XGBoost Part 3: Mathematical Details

More videos:

  • Review - XGBoost A Scalable Tree Boosting System June 02, 2016
  • Review - Free Udemy Course - CatBoost vs XGBoost - Classification and Regression Modeling with Python

Google Cloud TPU videos

No Google Cloud TPU videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to XGBoost and Google Cloud TPU)
Data Science And Machine Learning
Business & Commerce
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Data Science Tools
33 33%
67% 67

User comments

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Social recommendations and mentions

Based on our record, Google Cloud TPU should be more popular than XGBoost. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

XGBoost mentions (1)

  • CS Internship Questions
    By the way, most of the time XGBoost works just as well for projects, would not recommend applying deep learning to every single problem you come across, it's something Stanford CS really likes to showcase when it's well known (1) that sometimes "smaller"/less complex models can perform just as well or have their own interpretive advantages and (2) it is well known within ML and DS communities that deep learning... Source: almost 2 years ago

Google Cloud TPU mentions (5)

  • Pathways Language Model (Palm): 540B Parameters for Breakthrough Perf
    According to https://cloud.google.com/tpu, each individual TPUv3 has 420 Teraflops, and TPUv4 is supposed to double that performance, so if that guess is correct, it should take a few seconds to do inference. Quite impressive really. - Source: Hacker News / almost 2 years ago
  • The AI Research SuperCluster
    You can also rent a cloud TPU-v4 pod (https://cloud.google.com/tpu) which 4096 TPUv-4 chips with fast interconnect, amounting to around 1.1 exaflops of compute. It won't be cheap though (excess of 20M$/year I believe). - Source: Hacker News / about 2 years ago
  • Stadia's future includes running the backend of other streaming platforms, job listing reveals
    Actually, that's done with TPUs which are more efficient: https://cloud.google.com/tpu. Source: over 2 years ago
  • Nvidia CEO: Ethereum Is Going To Be Quite Valuable, Transactions Will Still Be A Lot Faster
    TPU training uses Google silicon and is thus a true deep learning alternative to Nvidia. Source: almost 3 years ago
  • Server Question
    The server choice really depends on how much CPU and RAM the requests take, how many users will be hitting the server, etc. You can start with a $5/month Digital Ocean server (or AWS or Google) and see if that works for you. Or you can outsource the server administration to Amazon or Google if you don't want to deal with it or need specialized tpu hardware. Source: almost 3 years ago

What are some alternatives?

When comparing XGBoost and Google Cloud TPU, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Kira - Gain visibility into contract repositories, accelerate and improve the accuracy of contract review, mitigate risk of errors, win new business, and improve the value you provide to your clients.

Amazon Forecast - Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.