I resigned Capgemini my current role was AWS cloud migration engineer, I have total 3.4 YOE ,I want to build career in Machine Learning as I was good in stastics. My CTC is also low so is there any chances off Any referrals for me . I did around 40 certificate from DataCamp and Coursera MOOC courses.
Still I will be considered fresher ,I am doing kaggle practice as well.
What is your opinion in such situations ,any machine learning interview preparation materials to crack interview,please share as well.any advice for me
- I suddenly feel like my 9 top tier conference publications in Machine Learning and optimizations, my grad research and thesis in Machine Learning, my work in Machine Learning are shit before a guy who’s got MooC certificates. Please tell me what those certificates are.
- From : DataCamp
Advanced Deep Learning with Keras in Python Data Visualization
Cleaning Data in Python
Convolutional Neural Networks for Image Processing
Data Types for Data Science
Deep Learning in Python
Feature Engineering for NLP in Python
Foundations of Probability in Python
Importing Data in Python (Part 1)
Importing Data in Python (Part 2)
Improving Your Data Visualizations in Python
Intermediate Python for Data Science
Introduction to Data Science in Python
Introduction to Data Visualization with Python
Introduction to Databases in Python
Introduction to Machine Learning
Introduction to Python
Machine Learning Time series data in python
Manipulating Time Series Data in Python
Preprocessing for Machine Learning in Python
Python Data Science Toolbox (Part 1)
Python Data Science Toolbox (Part 2)
Software Engineering for Data Scientists in Python
Statistical Thinking in Python (Part 1)
Statistical Thinking in Python (Part 2)
Supervised Learning with scikit-learn
Unsupervised Learning in Python
Visualizing Time Series Data in Python
- @Rreal_bezos I am just started with ML , I can't afford and go for masters , so started with Online Courses , If above certs are garbage without grad research and degree then why so many people doing it across the world ,Every other post on LinkedIn I see people sharing completed Bla Bla Cert and rest people appreciate it. My intension is to get entry at ML job role and then go through bootcamp organised by company also I may go for nanodegree programm or vice versa. What is your opinion without mindeset of being FAANG guy?
I started kaggle competition as well.
- So here is the thing, when you apply for FAANG ML roles with those certificates, forget about Applied Scientists, which I work as, they won’t even consider those certificates for Machine Learning Engineer positions. Not trying to mock you, but no one gives shit about those certificates on LinkedIn. When I want to interview a candidate, I look at how many publications the candidate has, and what conferences did the candidate publish in. Even if you have one ICML publication, you’d have a shot at it.
That so called ML by Stanford on Coursera, it’s not the total Machine Learning.
I’d consider a person with one conference publication in ICML or CVPR over a person with 40 MooC certificates in ML for a job.
After all, anyone can get those MooC certificates.
My advice, do research, publish a paper, work on ML projects, then get experience. That would help if you can’t go to school again.
PS: Before you say something, I went to Stanford.Oct 10 1
- New / Eng LetMeCodePmore40 Mooc certificates. It depends on how good they were. Were they progressive, or just teach same, theory stuff. I would say, start doing ML, seriously and work on projects, maybe open source (Github?) And give interviews or just apply for masters and specialise in ML, and apply for FAANG
What was your old TC? 12 Lakh per annum?