Pluralsight Path Data Science with Microsoft Azure 2021 E4 Building Features from Text Data in Microsoft Azure Michael Heydt 2019 Building Features Around Text Data for Use in Machine Learning Models 09 Demo Word Embeddings Using Word2Vec vtt

Pluralsight Path Data Science with Microsoft Azure 2021
E4 Building Features from Text Data in Microsoft Azure Michael Heydt 2019 Building Features Around Text Data for Use in Machine Learning Models 09 Demo Word Embeddings Using Word2Vec vtt

Name	Pluralsight Path. Data Science with Microsoft Azure (2021)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.4 GB
Total Files	1000
Last Seen	2025-08-13 23:42
Hash	35B2554B1CE78F11BB2C8CB0A354BB034C77271F

/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/09. Demo - Word Embeddings Using Word2Vec.vtt	5.1 KB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/09. Demo - Word Embeddings Using Word2Vec.mp4	10.0 MB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/15. Demo - Word Embeddings with BERT on AMLS.vtt	9.4 KB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/15. Demo - Word Embeddings with BERT on AMLS.mp4	18.3 MB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/08. Word Embeddings.vtt	3.4 KB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/11. Demo - The Hashing Trick.vtt	7.6 KB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/08. Word Embeddings.mp4	4.7 MB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/04. Demo - Bag-of-words.vtt	5.4 KB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/07. Demo - TF-IDF Encoding.vtt	5.0 KB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/13. Demo - Locality-sensitive Hashing.vtt	6.2 KB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/05. Demo - Bag-of-n-grams.vtt	2.9 KB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/11. Demo - The Hashing Trick.mp4	12.0 MB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/04. Demo - Bag-of-words.mp4	7.3 MB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/07. Demo - TF-IDF Encoding.mp4	8.3 MB
/E4. Building Features from Text Data in Microsoft Azure (Michael Heydt, 2019)/3. Building Features Around Text Data for Use in Machine Learning Models/13. Demo - Locality-sensitive Hashing.mp4	10.1 MB
Showing first 15 files of 1000 total files