AI landscape is evolving fast, though these are still early days for AI . The focus of AI has been more on building models and analyzing data . Users were asking for crisp outputs and self-use interactive applications . The lack of web skills like javascript, HTML/css became a roadblock. We can’t blame data scientists too since data science and web technologies are two separate streams of specializations. So, only a large team with a mix of data scientists and web technology specialists could build an AI app that users were looking for. In summary, end users wanted a simple web app to view the results of the results . API quota exceeded. You can make 500 requests per day.
Who this course is for:
- Experienced data scientists
- College students
- Data scientists who are starting their career
- Web application developers
- IT professionals who want to switch their career to AI.
File Name : | Build & Host ML Apps (Python) + Top Data Science projects free download |
Content Source: | udemy |
Genre / Category: | Development |
File Size : | 2.32 gb |
Publisher : | SeaportAi . |
Updated and Published: | 08 Aug,2022 |