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Practical Machine Learning with Python : A Problem-Solver's Guide to Building Real-World Intelligent Systems / / by Dipanjan Sarkar, Raghav Bali, Tushar Sharma
| Practical Machine Learning with Python : A Problem-Solver's Guide to Building Real-World Intelligent Systems / / by Dipanjan Sarkar, Raghav Bali, Tushar Sharma |
| Autore | Sarkar Dipanjan |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 |
| Descrizione fisica | 1 online resource (XXV, 530 p. 273 illus., 209 illus. in color.) |
| Disciplina | 006 |
| Soggetto topico |
Artificial intelligence
Python (Computer program language) Open source software Computer programming Artificial Intelligence Python Open Source |
| ISBN |
9781484232071
1484232070 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Machine Learning Basics -- Chapter 2: The Python Machine Learning Ecosystem -- Chapter 3: Processing, Wrangling and Visualizing Data.-Chapter 4: Feature Engineering and Selection -- Chapter 5: Building, Tuning and Deploying Models.-Chapter 6: Analyzing Bike Sharing Trends -- Chapter 7: Analyzing Movie Reviews Sentiment -- Chapter 8: Customer Segmentation and Effective Cross Selling -- Chapter 9: Analyzing Wine Types and Quality -- Chapter 10: Analyzing Music Trends and Recommendations -- Chapter 11: Forecasting Stock and Commodity Prices -- Chapter 12: Deep Learning for Computer Vision. |
| Altri titoli varianti | Problem-solver's guide to building real-world intelligent systems |
| Record Nr. | UNINA-9910300756103321 |
Sarkar Dipanjan
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Text Analytics with Python : A Practitioner's Guide to Natural Language Processing / / by Dipanjan Sarkar
| Text Analytics with Python : A Practitioner's Guide to Natural Language Processing / / by Dipanjan Sarkar |
| Autore | Sarkar Dipanjan |
| Edizione | [2nd ed. 2019.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019 |
| Descrizione fisica | 1 online resource (688 pages) |
| Disciplina | 005.133 |
| Soggetto topico |
Artificial intelligence
Python (Computer program language) Big data Artificial Intelligence Python Big Data |
| ISBN |
9781484243541
1484243544 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Natural Language Processing Basics -- Chapter 2: Python for Natural Language Processing -- Chapter 3: Processing and Understanding Text -- Chapter 4: Feature Engineering for Text Data -- Chapter 5: Text Classification -- Chapter 6: Text summarization and topic modeling -- Chapter 7: Text Clustering and Similarity analysis -- Chapter 8: Sentiment Analysis -- Chapter 9: Deep learning in NLP. |
| Altri titoli varianti | Practitioner's guide to natural language processing |
| Record Nr. | UNINA-9910338005403321 |
|
Sarkar Dipanjan
|
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Text Analytics with Python : A Practical Real-World Approach to Gaining Actionable Insights from your Data / / by Dipanjan Sarkar
| Text Analytics with Python : A Practical Real-World Approach to Gaining Actionable Insights from your Data / / by Dipanjan Sarkar |
| Autore | Sarkar Dipanjan |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2016 |
| Descrizione fisica | 1 online resource (XXI, 385 p. 54 illus., 33 illus. in color.) |
| Disciplina | 004 |
| Soggetto topico |
Big data
Database management Data mining Programming languages (Electronic computers) Big Data Database Management Data Mining and Knowledge Discovery Programming Languages, Compilers, Interpreters |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1:Natural Language Basics -- Chapter 2:Python Refresher for Text Analytics -- Chapter 3:Text Processing -- Chapter 4:Text Classification -- Chapter 5:Text summarization and topic modeling -- Chapter 6:Text Clustering and Similarity analysis -- Chapter 7:Sentiment Analysis.-. |
| Record Nr. | UNINA-9910154842603321 |
|
Sarkar Dipanjan
|
||
| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||