A sensitive portrayal ofthe hopes and fears,triumphs and defeatsexperienced by thewomen of the Tagorehousehold. in a sprawling novel that spans a unique phase in the history of Bengal and India, Aruna Chakravarti provides a fascinating Iaccount of how the Tagore women influenced and were in turn influenced by their illustrious male counterparts, the times they lived in and the family they belonged to. Jorasanko mirrors the hopes and fears, triumphs and defeats that the women of the Tagore ...

Suralakshmi Choudhury, a gynaecologist based in Delhi, falls in love at the age of thirty-one, marries and has a son. Suddenly, five years after his birth, she abandons everything including the house gifted to her by her father and her flourishing medical career, to travel to an obscure village in Bengal and open a free clinic for women and children. She leaves her son behind but takes along a poor Muslim girl, she has adopted. What makes her take this strange decision?Suralakshmi’...

A lively retelling of the Bhawal sannyasi case ... a real-life mystery that continues to intrigue to this day' AMITAV GHOSHIn the winter of 1909, Ramendranarayan Roy, the ailing second prince of the Bhawal zamindari, proceeds to Darjeeling with his wife Bibhavati, brother-in-law Satyendranath and a retinue of officials and servants, after being advised a change of air by his physicians. Three weeks later, a telegram from Satyendranath arrives at the Bhawal estate, ...

The stories in Creeping Shadows are spread over a vast canvas both in terms of time span and locale. A teahouse in ancient China. A brothel in 19th century Calcutta. A forest lodge in Bankura. An old mansion in Bangladesh. A university campus in today's Delhi. Beginning as human interest narratives they end with sudden, unexpected twists that raise hair ends and send trickles of ice water down the spine. Here are tales of shadows, tingles and chills...

Demystify AI Decisions and Master Interpretability and Explainability TodayKey Features● Master Interpretability and Explainability in ML, Deep Learning, Transformers, and LLMs● Implement XAI techniques using Python for model transparency● Learn global and local interpretability with real-world examplesBook DescriptionInterpretability in AI/ML refers to the ability to understand and explain h...

Demystify AI Decisions and Master Interpretability and Explainability Today Key Features ● Master Interpretability and Explainability in ML, Deep Learning, Transformers, and LLMs ● Implement XAI techniques using Python for model transparency ● Learn global and local interpretability with real-world examples Book Description Interpretability in AI/ML refers to the ability to understand and explain how a model arrives at its predictions. It ensures that humans can follow the model’s reasonin...

Demystify AI Decisions and Master Interpretability and Explainability TodayKey Features● Master Interpretability and Explainability in ML, Deep Learning, Transformers, and LLMs● Implement XAI techniques using Python for model transparency● Learn global and local interpretability with real-world examplesBook DescriptionInterpretability in AI/ML refers to the ability to understand and explain how a model arrives at its predictions. It ensures that humans can follow the model's reasoning, mak...

Discusses latest research on sorghum structure, chemistry and physiologyReviews varied uses of sorghum as a feed and food grain, forage and energy cropIncludes case studies of key challenges facing sorghum cultivation in regions such as Asia, Africa and South America

The Tagore household is falling apart. Rabindranath cannot shake off the disquiet in his heart. His daughters and daughter-in-law struggle hard to cope with incompatible marriages, ill health and the stigma of childlessness. The extended family of Jorasanko is steeped in debt. Even as Rabindranath copes with his problems, news reaches him that he has been awarded the Nobel Prize for literature. Will this be a turning point for the man, his family and their much-celebrated home? Daughters o...

Demystify AI Decisions and Master Interpretability and Explainability TodayKey Features● Master Interpretability and Explainability in ML, Deep Learning, Transformers, and LLMs● Implement XAI techniques using Python for model transparency● Learn global and local interpretability with real-world examplesBook DescriptionInterpretability in AI/ML refers to the ability to understand and explain how a model arrives at its predictions. It ensures t...

Demystify AI Decisions and Master Interpretability and Explainability TodayKey Features● Master Interpretability and Explainability in ML, Deep Learning, Transformers, and LLMs● Implement XAI techniques using Python for model transparency● Learn global and local interpretability with real-world examplesBook DescriptionInterpretability in AI/ML refers to the ability to understand and expl...

Demystify AI Decisions and Master Interpretability and Explainability TodayBook DescriptionInterpretability in AI/ML refers to the ability to understand and explain how a model arrives at its predictions. It ensures that humans can follow the model's reasoning, making it easier to debug, validate, and trust.Interpretability and Explainability in AI Using Python takes you on a structured journey through interpretability and explainability techniques for both white-box a...