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Top 5 Statistical Concepts Every Data Scientist Should Know in 2020!

Analytics Vidhya

The post Top 5 Statistical Concepts Every Data Scientist Should Know in 2020! This article was published as a part of the Data Science Blogathon. Must know Statistical concepts for the Data Science journey The main goal. appeared first on Analytics Vidhya.

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The 2021 Executive Guide To Data Science and AI

Applied Data Science

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

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Exploratory v6.3 Released!

learn data science

We have released 5 big releases this year, and this is the 6th, the last drop in 2020! ? Prediction Configuration for Base Level for Statisical Learning Models Visualization of Probability Distribution for Hypothesis Tests Test Mode for Cox Regression and Surivival Forest But, the most important one is the new Prediction capability.

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Rethinking Large Language Models for NLP: Alternatives and Efficiency

Mlearning.ai

million (Chuan, 2020). They made a hypothesis testing with the Chinchilla model. It is also clear that it is not democratized that all researchers can create LLMs and they cannot make big projects. The cost of GPU for training is very high. For instance, The cost of training GPT-3 has been estimated to be 355 GPU-years and $4.6