Android App Development with Machine Learning
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size1015.7 MB
- Uploaded Byfreecoursewb
- Downloads38
- Last checkedAug. 09th '21
- Date uploadedAug. 07th '21
- Seeders 4
- Leechers1
Android App Development with Machine Learning
Duration: 1h 30m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | Size: 0.99 GB
Genre: eLearning | Language: English
Top Android with Machine Learning Projects. This course will make you learn Android with ML via these Projects.
What you'll learn:
Android with Machine Learning
Android App Development with Machine Learning
Requirements:
Android
Be able to understand Machine Learning Basics
Description:
Learn Android Development integrated with Machine Learning and make 5 projects that worth place in the resume of any Android developer. Also, Machine Learning is an application of Artificial Intelligence (AI) that empowers software to learn, explore, and envisage outcomes automatically without human interference. Machine learning has been used in numerous fields, and it is now aggressively serving to mobile application development. Machine learning algorithms can do the analysis of targeted user behavior patterns and have searching requests to make suggestions as well as recommendations. This course will make you learn Android with ML via Projects
(For Source Code : [email protected])
,
Files:
[ FreeCourseWeb.com ] Udemy - Android App Development with Machine Learning- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Smile Detection Android App (Project 1) Source Code [email protected]
- 1. Setting up the project (For Source Code [email protected]).mp4 (26.5 MB)
- 1. Setting up the project (For Source Code [email protected]).srt (3.2 KB)
- 2. XML Design (For Source Code [email protected]).mp4 (95.5 MB)
- 2. XML Design (For Source Code [email protected]).srt (8.2 KB)
- 3. Face and Smile Detection (For Source Code [email protected]).mp4 (14.5 MB)
- 3. Face and Smile Detection (For Source Code [email protected]).srt (1.7 KB)
- 4. Dialog Box (For Source Code [email protected]).mp4 (52.6 MB)
- 4. Dialog Box (For Source Code [email protected]).srt (4.9 KB)
- 5. ML integration and Output of Project 1 (For Source Code [email protected]).mp4 (213.0 MB)
- 5. ML integration and Output of Project 1 (For Source Code [email protected]).srt (20.2 KB)
- 1. Setting up the project (For Source Code [email protected]).mp4 (135.5 MB)
- 1. Setting up the project (For Source Code [email protected]).srt (11.7 KB)
- 2. XML Design (For Source Code [email protected]).mp4 (250.1 MB)
- 2. XML Design (For Source Code [email protected]).srt (16.0 KB)
- 3. Integration of ML with Android (For Source Code [email protected]).mp4 (166.1 MB)
- 3. Integration of ML with Android (For Source Code [email protected]).srt (16.4 KB)
- 4. Output of the Project 2 (For Source Code [email protected]).mp4 (61.8 MB)
- 4. Output of the Project 2 (For Source Code [email protected]).srt (3.9 KB)
- Bonus Resources.txt (0.3 KB)
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