Everything you want to know about marketing AI content generation apps
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To use machine learning, you only need 3 tools
To create an effective machine learning toolbox, you actually only need the following three basic tools: Feature Store, Model Store, Evaluation Store
AI on terminal devices-what I know so far
By 2022, 80% of smartphones shipped will have AI functions on terminal devices, up from 2017% in 10
The 7 steps of the data science life cycle-applying AI in business
We will delve deeper into the seven steps of the data science life cycle itself, as well as the process aspects that non-technical project leaders should understand
Lyft's Craig Martell Interview: Less Algorithms, More Applications
Is the law becoming less and less important?As algorithms become more commoditized, there may be fewer and fewer algorithms and more and more applications.
In addition to Kaggle, what other data science platforms are there?
This article is divided into two parts: Competitive and collaborative platforms to hone your skills, new resources to enhance specific skills
How to fool artificial intelligence
Adversarial attacks involve the provision of adversarial examples of the model, which are inputs designed by the attacker to deliberately deceive the model to produce erroneous output.
Top applications of graph neural network 2021
At the beginning of the year, I felt that Graph Neural Network (GNN) became a buzzword.Here I suggest taking a look at the top applications of GNN that we have recently.
Where AI will improve in 2021
2021 seems to be an exciting year for the AI field.
How to judge whether AI startups are actually using AI
It has been a year since MMC Ventures released an unexpected discovery, and 40% of AI startups have not substantively used AI in their technology stacks.
