DECIDING TO WIN
DECIDING TO WIN
reginald nsowah
HOW TO SUCCEED AT SELF LEARNING WITH SHEARY TAN
38 minutes Posted Jan 7, 2024 at 8:18 am.
Introduction and Background
Decision to Go into Coding
Overcoming Challenges as a Self-Taught Software Engineer
Transitioning into Machine Learning
Opportunities in Software Engineering and Machine Learning
Importance of Data Science and Analytics
Starting the Coding Journey
Getting Started with Data Science and Analytics
Entrepreneurship and Startup Journey
Progress and Challenges in the Startup
Advice for Young People
Content Creation and Influencing
Role Models and Inspirations
Future Goals and Impact
Where to Find Sherry's Content
0:00
38:20
Download MP3
Show notes
Summary
In this episode, Sherry, a self-taught machine learning software engineer and entrepreneur, shares her journey and insights. She discusses her decision to go into coding, the challenges she faced as a self-taught engineer, and the opportunities in software engineering and machine learning. Sherry emphasizes the importance of data science and analytics as a foundation for machine learning. She also talks about her entrepreneurial journey and the goals of her startup. Sherry provides advice for young people and shares her experiences as a content creator. She looks up to successful founders and aims to inspire others to pursue their passions in tech.
Takeaways
Self-teaching programming is a viable path to a career in tech, and there are many opportunities in software engineering and machine learning.
Data science and analytics are crucial skills for aspiring machine learning engineers, as understanding and working with data is a fundamental part of the field.
Taking risks, changing your mindset, and pursuing your passion are key to success in the tech industry.
Content creation can be a powerful way to inspire and educate others, and it's important to focus on providing value and engaging with your audience.
Having role models and mentors can provide guidance and inspiration on your journey.
Chapters
We would love to hear from you
email: [email protected]
Follow Sheary
https://www.instagram.com/codersheary_coding/