Ai And Ml Intern
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Building Machine Learning Systems with Python
Author: Willi Richert
language: en
Publisher: Packt Publishing Ltd
Release Date: 2013-01-01
This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them.This book primarily targets Python developers who want to learn about and build Machine Learning into their projects, or who want to pro.
Media and Entertainment Industry Management
The media and entertainment industry (MEI) differs significantly from traditional industries in many respects. Accordingly, the management of strategy, marketing and other business practices in the MEI necessitates a unique approach. Sunghan Ryu offers students focused and relevant insights into critical topics, illustrated by vivid examples from the MEI. Unlike typical introductory textbooks on business and management, this book does not overemphasize complicated layers of theory. Instead, it presents essential concepts and frameworks in a digestible manner and supplements them with opportunities to apply this knowledge to real-world cases. The textbook demonstrates how knowledge can be constructively implemented in business and management scenarios. It is structured into 12 chapters, divided into five core modules: (1) Overview of the MEI, (2) The Fundamentals of Management, (3) Marketing Management, (4) Digital Business and Management, and (5) New Business Models and Entrepreneurship. Students will gain the ability to explain key concepts and frameworks across core business and management domains and develop analytical skills through diverse real-world cases in the MEI. Based on this knowledge, they will be equipped to identify management-related issues in the MEI and arrive at practical and effective solutions. This book is an essential guide for students who wish to understand business and management in the dynamic world of the MEI.
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach provides a comprehensive guide for public health authorities, researchers and health professionals in psychological health. The book takes a unique approach by exploring how Artificial Intelligence (AI) and Machine Learning (ML) based solutions can assist with monitoring, detection and intervention for mental health at an early stage. Chapters include computational approaches, computational models, machine learning based anxiety and depression detection and artificial intelligence detection of mental health. With the increase in number of natural disasters and the ongoing pandemic, people are experiencing uncertainty, leading to fear, anxiety and depression, hence this is a timely resource on the latest updates in the field. - Examines the datasets and algorithms that can be used to detect mental disorders - Covers machine learning solutions that can help determine the precautionary measures of psychological health problems - Highlights innovative AI solutions and bi-statistics computation that can strengthen day-to-day medical procedures and decision-making