Many people recommend starting with machine learning by covering the following:
• Linear Algebra
• Calculus
• Statistics and probabilities
• Fundamentals of machine learning
But there's a different way:
• Linear Algebra
• Calculus
• Statistics and probabilities
• Fundamentals of machine learning
But there's a different way:
Companies are dying to start applying machine learning to their businesses.
But they don't know where to start or how to get it done.
And that's driving the demand for machine learning professionals!
But they don't know where to start or how to get it done.
And that's driving the demand for machine learning professionals!
While understanding the theory is essential, times have changed.
The tooling, frameworks, and libraries we use today do much of the heavy lifting.
The field has never been more accessible, and you have many different ways to break into the area.
The tooling, frameworks, and libraries we use today do much of the heavy lifting.
The field has never been more accessible, and you have many different ways to break into the area.
We built @abacusai to help you solve dozens of use cases:
• Personalized recommendations
• Financial metrics forecasting
• Image classification
• Predictive analytics
• Customer churn predictions
It's a long list!
• Personalized recommendations
• Financial metrics forecasting
• Image classification
• Predictive analytics
• Customer churn predictions
It's a long list!
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