Art Therapy Techniques and Applications: A Model for Practice

250 Brief, Creative & Practical Art Ther

📁 250 Brief, Creative & Practical Art Therapy Techniques: A Guide for Clinicians and Clients

✍ Susan I. Buchalter 📂 Library 📅 2019 🏛 PESI Publishing & Media 🌐 English

Breast Cancer Radiation Therapy: A Pract

📁 Breast Cancer Radiation Therapy: A Practical Guide for Technical Applications

✍ Orit Kaidar-Person (editor), Icro Meattini (editor), Philip Poortmans (editor) 📂 Library 📅 2022 🏛 Springer 🌐 English

The book provides, in a comprehensive yet concise way, essential information to improve the knowledge and skills of all healthcare providers involved in the treatment of patients with breast cancer. The content does not focus on general information that is widely available via different sou

200 More Brief, Creative & Practical Art

📁 200 More Brief, Creative & Practical Art Therapy Techniques: A Guide for Clinicians & Clients

✍ Susan I Buchalter 📂 Library 📅 2020 🏛 PESI Publishing & Media 🌐 English

Unique and creative warm-up exercises that facilitate communication, connection and creative expression Expanding upon art therapist Susan Buchalter’s celebrated 250 Brief, Creative& Practical Art Therapy Techniques, this follow-up book provides 200 more art exercises clinicians ca

Mindful Art Therapy: A Foundation for Pr

📁 Mindful Art Therapy: A Foundation for Practice

✍ Barbara Jean Davis 📂 Library 📅 2015 🏛 Jessica Kingsley Publishers 🌐 English

The mindful art therapy presented in this book places inner contemplation, openness and visual language at its centre, showing how traditional Eastern wisdom can be integrated into modern psychotherapeutic practice for mind-body wellness. This book introduces a foundation for mindful art therapy

Applied Machine Learning Explainability

📁 Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more

✍ Aditya Bhattacharya 📂 Library 📅 2022 🏛 Packt Publishing 🌐 English

Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systems Key Features <ul><li>Explore various explainability me

Applied Machine Learning Explainability

📁 Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more

✍ Aditya Bhattacharya 📂 Library 📅 2022 🏛 Packt Publishing 🌐 English

Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systems Key Features <ul><li>Explore various explainability me