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Implement text pre-processing and feature engineering in NLP, including advanced methods of feature engineering
Understand and implement the concepts of information retrieval, text summarization, sentiment analysis, text classification, and other advanced NLP techniques leveraging machine learning and deep learning
Implement text pre-processing and feature engineering in NLP, including advanced methods of feature engineering
Understand and implement the concepts of information retrieval, text summarization, sentiment analysis, text classification, and other advanced NLP techniques leveraging machine learning and deep learning
Akshay Kulkarni is an AI and machine learning evangelist and thought leader. He has consulted with Fortune 500 and global enterprises to drive AI and data science-led strategic transformations. He has a rich experience of building and scaling AI and machine learning businesses and creating significant client impact. Akshay is currently Manager-Data Science & AI at Publicis Sapient where he is part of strategy and transformation interventions through AI. He manages high-priority growth initiatives around data science, works on AI engagements, and applies state-of-the-art techniques. Akshay is a Google Developers Expert-Machine Learning, and is a published author of books on NLP and deep learning. He is a regular speaker at major AI and data science conferences, including Strata, O'Reilly AI Conf, and GIDS. In 2019, he was featured as one of the Top "40 under 40 Data Scientists" in India. In his spare time, he enjoys reading, writing, coding, and helping aspiringdata scientists. He lives in Bangalore with his family.
Adarsha Shivananda is Lead Data Scientist at Indegene's Product and Technology team where he leads a group of analysts who enable predictive analytics and AI features for all of their healthcare software products. They handle multi-channel activities for pharma products and solve real-time problems encountered by pharma sales reps. Adarsha aims to build a pool of exceptional data scientists within the organization and to solve greater health care problems through training programs and staying ahead of the curve. His core expertise involves machine learning, deep learning, recommendation systems, and statistics. Adarsha has worked on data science projects across multiple domains using different technologies and methodologies. Previously, he was part of Tredence Analytics and IQVIA. He lives in Bangalore and loves to read and teach data science.
Explains NLP concepts with simple programming recipes and implementation in Python
Teaches NLP life cycle end-to-end implementation pipeline: leverage state-of-the-art techniques and tools
Covers the latest NLP algorithms being implemented in the industry
Erscheinungsjahr: | 2021 |
---|---|
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xxvi
283 S. 73 s/w Illustr. 283 p. 73 illus. |
ISBN-13: | 9781484273500 |
ISBN-10: | 1484273508 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Shivananda, Adarsha
Kulkarni, Akshay |
Auflage: | 2nd edition |
Hersteller: | APRESS |
Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
Maße: | 254 x 178 x 17 mm |
Von/Mit: | Adarsha Shivananda (u. a.) |
Erscheinungsdatum: | 26.08.2021 |
Gewicht: | 0,59 kg |
Akshay Kulkarni is an AI and machine learning evangelist and thought leader. He has consulted with Fortune 500 and global enterprises to drive AI and data science-led strategic transformations. He has a rich experience of building and scaling AI and machine learning businesses and creating significant client impact. Akshay is currently Manager-Data Science & AI at Publicis Sapient where he is part of strategy and transformation interventions through AI. He manages high-priority growth initiatives around data science, works on AI engagements, and applies state-of-the-art techniques. Akshay is a Google Developers Expert-Machine Learning, and is a published author of books on NLP and deep learning. He is a regular speaker at major AI and data science conferences, including Strata, O'Reilly AI Conf, and GIDS. In 2019, he was featured as one of the Top "40 under 40 Data Scientists" in India. In his spare time, he enjoys reading, writing, coding, and helping aspiringdata scientists. He lives in Bangalore with his family.
Adarsha Shivananda is Lead Data Scientist at Indegene's Product and Technology team where he leads a group of analysts who enable predictive analytics and AI features for all of their healthcare software products. They handle multi-channel activities for pharma products and solve real-time problems encountered by pharma sales reps. Adarsha aims to build a pool of exceptional data scientists within the organization and to solve greater health care problems through training programs and staying ahead of the curve. His core expertise involves machine learning, deep learning, recommendation systems, and statistics. Adarsha has worked on data science projects across multiple domains using different technologies and methodologies. Previously, he was part of Tredence Analytics and IQVIA. He lives in Bangalore and loves to read and teach data science.
Explains NLP concepts with simple programming recipes and implementation in Python
Teaches NLP life cycle end-to-end implementation pipeline: leverage state-of-the-art techniques and tools
Covers the latest NLP algorithms being implemented in the industry
Erscheinungsjahr: | 2021 |
---|---|
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xxvi
283 S. 73 s/w Illustr. 283 p. 73 illus. |
ISBN-13: | 9781484273500 |
ISBN-10: | 1484273508 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Shivananda, Adarsha
Kulkarni, Akshay |
Auflage: | 2nd edition |
Hersteller: | APRESS |
Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
Maße: | 254 x 178 x 17 mm |
Von/Mit: | Adarsha Shivananda (u. a.) |
Erscheinungsdatum: | 26.08.2021 |
Gewicht: | 0,59 kg |