This is resources for going from software engineer/non-software engineer to profressional in AI engineer.
I'm a Thai Software Engineer who is really passionate to become entrepreneur, investor, and AI engineer. Was found Humaan.ai to bringing the AI to everyone to do incredible ways.
Currently, I'm studying for a master's degree in Business Analytics and Data Sciences, where majoring in Artificial Intelligence and Machine Learning at National Institute of Development Administration (NIDA), Thailand.
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- What Exactly Does an AI Engineer Do
- Part I: Artificial Intelligence
- Chapter 1: Intro to Artificial Intelligence
- What is Artificial Intelligence?
- The History of Artificial Intelligence
- Chapter 1: Intro to Artificial Intelligence
- Part II: Problem-solving
- Part III: Knowledge, reasoning, and planning
- Part IV: Uncertain knowledge and reasoning
- Part V: Learning
- Part VI: Communicating, perceiving, and acting
- Appendix A: Rockstars of the AI Research and AI Engineering World
- Appendix B: Resources
- Appendix C: Online Courses
- Linear Algebra
- Scalars
- Vectors
- Matrices
- Tensors
- Probability and Information Theory
- Numerical Computation
- Python Basics
- Flow Control
- Data Structures
- Functions
- Files and the Operating System
- Stanford's Natural Language Processing with Deep Learning (CS224n) : Natural language processing (NLP) is a crucial part of artificial intelligence (AI), modeling how people share information. In recent years, deep learning approaches have obtained very high performance on many NLP tasks. In this course, students gain a thorough introduction to cutting-edge neural networks for NLP.
- Motion Heatmap Using OpenCV in Python : This sample application is useful to see movement patterns over time. For example, it could be used to see the usage of entrances to a factory floor over time, or patterns of shoppers in a store.
- Few-Shot vid2vid by NVIDIA : Pytorch implementation for few-shot photorealistic video-to-video translation. It can be used for generating human motions from poses, synthesizing people talking from edge maps, or turning semantic label maps into photo-realistic videos. The core of video-to-video translation is image-to-image translation. Some of our work in that space can be found in pix2pixHD and SPADE.
- Gaussian YOLOv3: An Accurate and Fast Object Detector for Autonomous Driving : Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)
- OpenPose : Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
- T5: Text-To-Text Transfer Transformer : Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
- Artificial Intelligence: A Modern Approach
- Deep Learning (Adaptive Computation and Machine Learning series)
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Our mission is to "solve intelligence" and enable AI technologies to unleash everyone capabilites and to address humanity's grand challenges.