Autor: Akshay Kulkarni

Soporte
Akshay R Kulkarni is an AI and machine learning (ML) evangelist and a thought leader. He has consulted for Fortune 500 and global enterprises to drive AI and data science-led strategic transformations. He is currently the manager of data science & AI at Publicis Sapien. He is a Google developer and author of the book Natural Language Processing Recipes (Apress). He is a regular speaker at major AI and data science conferences (including Strata, O’Reilly AI Conf, and GIDS). Akshay is a visiting faculty member for some of the top graduate institutes in India. 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 aspiring data scientists. He lives in Bangalore with his family. Adarsha Shivananda is a senior data scientist on Indegene»s product and technology team where he works on building machine learning and artificial intelligence (AI) capabilitiesfor pharma products. He aims to build a pool of exceptional data scientists within and outside of the organization to solve problems through training programs, and always wants to stay ahead of the curve. Previously, he worked with Tredence Analytics and IQVIA. He has worked extensively in the pharma, healthcare, retail, and marketing domains. He lives in Bangalore and loves to read and teach data science. Nitin Ranjan Sharma is a manager at Novartis, involved in leading a team to develop products using multi-modal techniques. He has been a consultant developing solutions for Fortune 500 companies, involved in solving complex business problems using machine learning and deep learning frameworks. His major focus area and core expertise are computer vision and solving some of the challenging business problems dealing with images and video data. Before Novartis, he was part of the data science team at Publicis Sapient, EY, and Tek Systems Global Services. Heis a regular speaker at data science communities and meet-ups and also an open-source contributor. He has also been training and mentoring data science enthusiasts.




7 Ebooks de Akshay Kulkarni

Akshay Kulkarni & Adarsha Shivananda: Natural Language Processing Recipes
Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language proces …
PDF
Inglés
€46.99
Akshay Kulkarni & Adarsha Shivananda: Natural Language Processing Recipes
Focus on implementing end-to-end projects using Python and leverage state-of-the-art algorithms. This book teaches you to efficiently use a wide range of natural language processing (NLP) packages t …
PDF
Inglés
€62.99
Akshay Kulkarni & Adarsha Shivananda: Natural Language Processing Projects
Leverage machine learning and deep learning techniques to build fully-fledged natural language processing (NLP) projects. Projects throughout this book grow in complexity and showcase methodologies, …
PDF
Inglés
€62.99
Akshay Kulkarni & Adarsha Shivananda: Computer Vision Projects with PyTorch
Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using Py Torch. The b …
PDF
Inglés
€62.99
Akshay Kulkarni & Adarsha Shivananda: Applied Recommender Systems with Python
This book will teach you how to build recommender systems with machine learning algorithms using Python. Recommender systems have become an essential part of every internet-based business today. You’ …
PDF
Inglés
€46.99
Akshay Kulkarni & Adarsha Shivananda: Introduction to Prescriptive AI
Gain a working knowledge of prescriptive AI, its history, and its current and future trends. This book will help you evaluate different AI-driven predictive analytics techniques and help you incorpor …
PDF
Inglés
€46.99
Akshay Kulkarni & Adarsha Shivananda: Applied Generative AI for Beginners
This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like Chat GPT and Google Bard. It se …
PDF
Inglés
€52.99