000 Prologue Words - A 360-Degree Assistant for Artificial Intelligence Information #
Hello, I am Hong Liangjie, currently working as the Director of Data Science at the e-commerce website Etsy. I am delighted to meet you here and look forward to discussing topics related to artificial intelligence with you through this column, “AI Technology Insights.”
Over the next year, I will explain the core foundations of artificial intelligence, introduce the latest research findings from top academic conferences, provide guidance and strategies for the personal growth of engineers and data scientists, and offer advice and suggestions for engineering management leaders planning to establish and manage data science teams. I hope that “AI Technology Insights” can become your 360-degree artificial intelligence information assistant, helping you make steady progress in this rapidly developing field.
Now, why am I willing to write this column? It reminds me of a recent incident when I attended an industry conference on data science in Boston. I had a conversation with a data scientist who currently works at the fashion brand J.Crew in the United States. During our discussion, they asked me what materials they should look at and how they could continue learning and advancing in the field of data science and artificial intelligence. At that moment, I realized that it was difficult for me to recommend a single book, a few research papers, or specific resources that could fully serve the purpose of their question.
In fact, reflecting on my own growth in the field of artificial intelligence, a prominent characteristic is that there is just too much diverse and detailed knowledge to learn.
For example, for someone working in the field of artificial intelligence, during the foundational stage, they need to systematically study numerous books related to machine learning and probability statistics. They also need to be proficient in relevant specialized software and artificial intelligence frameworks. If they hope to make progress in a specific area (such as search, recommendation, image technology, speech technology, intelligent driving, etc.), they need to read many technical papers in those relevant fields and practice implementing algorithmic models.
Furthermore, if you want to truly grow in a technology company, there are many engineering techniques and practical experiences that you need to gradually acquire. All of these factors contribute to the high barriers of talent cultivation and growth in the field of artificial intelligence.
Both myself and many friends who hope to make progress in this field urgently need a platform that can consolidate and systematically access high-quality information. This has inspired me to write this column.
I hope that “AI Technology Insights” can become a lighthouse for your growth in the field of artificial intelligence. When you navigate through the vast ocean of knowledge, it can help you quickly find the core and essential information and resources. I hope this column can become your companion in professional development, relieving your anxiety about the rapidly evolving industry, alleviating your concerns about knowledge becoming outdated, and eliminating the worry of searching for valuable learning resources among the ever-changing information.
At the same time, I hope this column can broaden your horizons, enabling data scientists and artificial intelligence engineers to understand how team managers build teams and recruit professionals. It provides leaders in data science awareness of how to cultivate the growth of data scientists, allowing you to have a more complete understanding of the entire ecosystem of the industry.
I have carefully crafted three modules for this column:
Firstly, I will explain some classic artificial intelligence technologies to you. These technologies cover areas such as search, recommendation systems, advertising systems, image processing, etc. Understanding these classic technologies will allow you to quickly get started and lay a foundation for future learning. This section helps you analyze core algorithmic models and provides an outline and guidance for systematic learning.
Secondly, I will bring you the latest updates from top academic conferences, helping you understand and grasp the hottest and most recent research achievements from these conferences. Every year, there are more than ten top academic conferences related to artificial intelligence, each publishing hundreds or even thousands of papers. It is a very difficult and time-consuming task for beginners and even experienced professionals to find valuable information from these papers and achievements. In this column, I will carefully select content for you to ensure you don’t miss any valuable recent findings.
Thirdly, in this column, I will provide guidance for practitioners in artificial intelligence to help data scientists and engineers enhance their own value and assist managers of artificial intelligence teams in building teams. It will provide advice for key steps in your career development.
I hope that in the coming year, through the platform of “AI Technology Insights,” we can learn and grow together. “AI Technology Insights” is just a starting point, and I hope you can embark on a journey towards better, higher, and farther progress in the field of artificial intelligence through this column.
