How do I get a job in machine learning?

I get asked this question almost daily.

The short answer is "there's no one set path."

But this could fit with anything. And it isn't really helpful.

Here's what I would do if I was fired tomorrow.

💡1. Get really good at whatever it is I decide to do (I'm working on this anyway)

Whatever field you want to get into, #machinelearning, #datascience, health, media, this is a given. You have to be good at what you do.

Not the best at one thing?

That's okay. Combine it with something else and become the best at the crossover.

❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN

For me, my #coding skills were lacking, so I made it up for it through several different forms of communication (see point 2).

🎤2. Communicate whatever it is I'm good at in a way people can understand

If you can #code but can't write practice writing.

I can't count the number of times I've found some brilliant code online but struggled to understand it because it hadn't been documented well.

Got a project you've worked on? (you should)

Share it. And share your thought process around each step. Why did you do that thing in part 3?
It's the Winston Churchill approach. He wasn't anywhere near the most qualified person for the role of Prime Minister. But he was the best at communicating what he knew. Because of this, the people put their trust in him. Then he backed it up by being good at what he did.

📝3. Apply relentlessly

If I wasn't getting rejected once per week, I'd start applying more. And not just with a resumé.
Someone told me their resumé gets filtered. I'm not sure what a resumé filter is but I'd find a way to get around it.
Plus, I'm not interested in somewhere that hires solely off the basis of an A4 sheet of paper.
I'd go out of my way to find who the best person would be to talk to. And then I'd find a problem they're having and fix it.
Will this work?
There's no guarantees. There's never a guarantee.
But what's the alternative?
To not be good at what you do?
Or to not communicate your skillset?
Or to not find the right person to talk to?
You already know the answer to these.

❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN

Master the Classification and Regression

Easily learn an End to End data science process and steps in two days!

📚Contents:
✅Exploratory data analysis and visualization
Numeric descriptive statistics
Interpreting descriptive statistics
Understanding the distribution
Histograms
Boxplots and IQR
Correlation
heatmaps for co-relation
Analyzing the target variable
✅Pre-processing data
Dealing with missing values
Treatment of categorical values
Normalize the data
Split the data
✅ #MachineLearning algorithm
Defining/instantiating the model
Fitting the model
Define the evaluation metric
Predict scores against our test set and assess
✅Evaluation metrics for classification
Improving a model – from baseline models to final models
Understanding cross-validation
Feature engineering
#Regularization to prevent overfitting
#Ensembles – typically for classification
Test alternative models
#Hyperparameter tuning
✅Regression #Code
✅Classification #Code

✴️ @AI_Python_EN