One year ago, I was ecstatic to have my first article published on Towards Data Science, which is one of the best platforms that I have followed for the longest time.
At the time of writing this article, I have written almost a hundred articles on this platform to have gathered around 800 followers and accomplish a multiple time top writer in Artificial Intelligence and productivity, as well as bearing the honor of being a top 1000 writer on this platform.
While the statistics and performance of articles don’t always matter to me, it is still an overwhelmingly positive effect with the amount of positivity and love received from the community. The effect of reaching a wide range of audiences and sharing the best knowledge hoping to help all the aspirants and enthusiasts of the subject is a tremendous pleasure.
The objective of my articles is to reach out to researchers and developers of all levels and have a little of something for most readers. Since I have been busy with my full-time job, the rate of publishing articles has slightly decreased over a few months. However, I plan to keep writing for a long time and sharing the best resources with all of you!
Below is one of my personal favorite articles that I would recommend most beginners of Data Science to check out to explore most of the intricate details and aspects of the subject in great depth.
With this article, I hope to share some of my key learnings and experiences that I have garnered from Writing Data Science and AI articles from over the course of one year. Before we dwell into the key takeaways, I want to share small details about my background that I get asked several times. Without further ado, let us get started!
Short Backstory:
After three years of learning Data Science and Artificial Intelligence from numerous resources, I had started to construct some cool projects. While I always built some projects to correlate my understandings to a particular concept, I felt like I was able to perform some pretty high-level projects at that stage of learning. Hence, I thought it would be a great idea to share my ideas and projects so that it could help others as well as reach out my ideas on a popular platform.
At the time of writing my first article, I was working on a deep learning project using transfer learning and custom models on the tasks of human emotion and gesture detection. I published these articles on Towards Data Science as a two-part series and thus began my journey of writing articles. Below is the link for the following series if you are interested in exploring more and looking into it.
Human Emotion and Gesture Detector Using Deep Learning: Part-1
Human Emotion and Gesture Detector Using Deep Learning: Part-2
The initial idea was to write a few articles and probably just move on to other hobbies that I had. However, the amount of love and encouragement received in my earlier posts motivated me to keep learning and writing more and more.
After a couple of months of writing a lot of articles, I had to transition to a more balanced system because I got a three-month internship in a reputed institution in the country, and now I currently work full-time in deep learning for research and development.
Despite my busy schedule, I plan to keep writing useful articles for all my readers whenever I find the time so that everyone can find the best possible utility from them!
My Experiences and Major Learnings:
Now that we have a quick brief of my short backstory that many of my viewers have been interested in, I will try to explore some of my primary experiences and major learnings from continuously developing as a writer on this platform. In this section, I will explain five of the most important learnings that have helped me tremendously by increasing my understanding of concepts and general growth in personality.
1. Increased Learning Curve:
Although I initially started writing articles to showcase my work and develop more projects, I started to gain the urge to learn something new every day as I dwelled on writing more articles. My learning curve as a whole increased while writing articles because I kept understanding more new concepts as well as honing my skills on the topics that I already knew briefly about.
One of the major benefits of writing articles on a regular basis is that I could constantly keep myself updated with the new modern technologies and other new techniques that kept being discovered continuously in the world of Artificial Intelligence. While sharing them with other amazing readers, I had the opportunity to learn more on each topic personally as well.
2. New Channel of Thoughts:
While I usually got most of my best ideas while procrastinating randomly and wondering some of the most stupid things, I found out that for me personally, writing stuff helped me to channel my thoughts in a positive direction. It enabled me to think different things and not forget about what I was thinking because I wrote it down and then explored more about the topic.
The method might not be most suitable for most people, but it works great for me, and I would recommend giving it a try. You could also just write a few notes to ensure your thoughts are channeled in the right direction. Every different individual has different methods of picking up new concepts and understanding new ideas.
3. Understanding The Intricate Details of Online Blogging:
One of the major benefits for me personally was to understand the intricate details of online blogging. During the course of the year, I have had several learning experiences. As someone who was completely new to the world of writing Data Science articles online, I realized the correct procedures to follow online to achieve a more productive result.
The editorial team of TDS has been especially supportive throughout this journey as they helped me in several aspects of improving my writing skills as well as improve my online presence as a whole. Their helpful feedback aids in improving the quality of articles as well as my overall knowledge on the subject.
Thanks to the continuous knowledge that I obtained, it has also been a fantastic experience for me to work on a multitude of other projects or other working organizations. With some of the learning experiences like copyright claims on images, providing authentic sources, plagiarism rules, and other similar regulations, I have a clear understanding of how to proceed with most tasks.
4. Supportive Community:
One of the best aspects of learning AI, Data Science, or just Python programming, in general, is the vast amount of support and encouragement that you receive from the community. There are several websites, YouTube videos, discord channels, slack channels, GitHub, and so many other brilliant resources out there to explore and utilize for our benefit.
Apart from these resourceful materials, there are also constant updates in each of these fields, and the community works actively at perfecting each of the requirements effectively. If you are ever stuck on some issue, communities like Stack Overflow or just friends online are always willing to help. Using these opportunities, you can build awesome connections and thrive together as one!
5. Ultimate Satisfaction:
The entire process of choosing a topic, researching for the particular topic to gain additional information, writing the article, crosschecking and verifying facts and information, and finally publishing the article is one of the most pleasurable experiences. While sometimes the work might get tedious, it never kills the overall excitement to share something new and learn new experiences along the way.
The amount of encouragement that I received from the viewers, readers, friends, and the editorial team, has helped me to thrive and receive immense satisfaction. Hence, I will love to pursue the following hobby of writing articles on this platform for a long time.
Key Takeaways:
While I have covered most of the topics that I wanted to cover in this article, there are just a few takeaways that I would recommend all the interested audiences to take note of so that they could hopefully profit from these suggestions.
- The critical aspect of Data Science is to figure out that the more time you spend learning the subject, the more knowledge you gain. There are no shortcuts in this vast field.
- Try to utilize the knowledge you obtain in some way that is useful and productive to your approach and style of study.
- If you are truly inspired by the wonders of Data Science, keep pursuing what you feel is significant to you.
- The aspect of multiple failures before achieving success while constructing any project in Data Science should be treated as a foregone conclusion. It is nearly impossible to achieve the best results on your first try for any complex Data Science problem.
- For anyone interested in pursuing Data Science, the crucial factors are your interest and constant motivation to learn new aspects and developments that take place continuously in this field.
If you are still midway about your choice of Data Science and haven’t completely decided what you want to work on in the near future, I would recommend checking out one of my previous articles where I cover the topic of ten wrong reasons to become a data scientist. The link is provided below.
Conclusion:
"If You Are Working On Something That You Really Care About, You Don’t Have To Be Pushed. The Vision Pulls You." – Steve Jobs
This article is quite different from the normal ones that I write. The primary objective was to cover some of the questions about me that my viewers would like answered, the major experiences that I learned throughout the course of writing for a year, and give everyone some key takeaways so that they could ultimately benefit from it in some way.
To conclude my last thoughts, it has been a fabulous journey thus far, and I plan to continue working on numerous articles related to AI and data science in the future. If my viewers have something specific to discuss, feel free to hit me up in the comments section below or connect me at LinkedIn anytime you want.
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If you have any queries related to the various points stated in this article, then feel free to let me know in the comments below. I will try to get back to you with a response as soon as possible.
Check out some of my other articles that you might enjoy reading!
10 Computer Vision Terms Everyone Must Know About!
5 Best Python Projects With Codes That You Can Complete Within An Hour!
Data Science And Visualizations Of Weather Patterns With CBAM
14 Pandas Operations That Every Data Scientist Must Know!
7 Best UI Graphics Tools For Python Developers With Starter Codes
Thank you all for sticking on till the end. I hope all of you enjoyed reading the article. Wish you all a wonderful day!
