
- Academic writing and publishing with ChatGPT (Part-3) : publishing in Academic Journals
- Tác giả: Jayachandran Mohanasundaram
- Nhà xuất bản: Independently published - United States
- Năm xuất bản: 2024
- Số trang:358 p.
- Kích thước:24 cm.
- Số đăng ký cá biệt:57183
- ISBN:979-8398282511
- Mã Dewey:006.3 001
- Đơn giá:0
- Vị trí lưu trữ:03 Quang Trung
- Ngôn ngữ:English
- Loại tài liệu:Sách Chuyên ngành
- Đang rỗi/ Tổng sách:5/5
- Từ khóa:Chat GPT, professional development
- Chủ đề: Chat GPT & Professional development
- Chuyên ngành: Khoa Công Nghệ Thông Tin
- Tóm tắt: Part 3 of this transformative series, "Publishing in Academic Journals," is a game-changer. Whether you're an aspiring researcher, a seasoned academic, or a graduate student, this book equips you with the knowledge and strategies you need to navigate the complex world of academic publishing. And with the powerful assistance of ChatGPT, you'll receive personalized guidance and support tailored to your specific needs.
Sách cùng chuyên ngành
- The ethical algorithm : the science of socially aware algorithm design
- Storytelling with data : a data visualization guide for business professionals
- Our final invention : artificial intelligence and the end of the human era
- AI business strategies : leveraging artificial intelligence as a competitive advantage
- Machine learning in the aws cloud : add intelligence to applications with amazon sagemaker and amazon rekognition
Sách cùng chủ đề
- Academic writing and publishing with ChatGPT (Part-2) : dissertation and thesis writing
- Academic writing and publishing with ChatGPT (Part-2) : dissertation and thesis writing
- The revolutionary Chat GPT guide : how to effectively use AI algorithm to generate human-like language; better and faster writing, increase your productivity, and access easier income strategies
- Research methodology and design with ChatGPT (Part-2): Guidance on experimental design, and data analysis techniques
- Research methodology and design with ChatGPT (part-1) : guidance on research methodologies, experimental design, and data analysis techniques