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Pratham Prasoon
PrasoonPratham
Are you planning to learning machine learning this year?These are the Python frameworks you need to learn as an absolute beginner. It can be overwhelming seeing all the machine learning
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Are you planning to learn to Python for machine learning this year?Here's everything you need to get started. In this thread we'll look at all the concepts in Python you
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Everything you need to know about the math for machine learning as a beginner. Before diving into the math, I suggest first having solid programming skills.For example(2 / 17) In
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Why it took me 2 years to get started with machine learning when I could've done it in less than a month. My first attempt of getting into machine learning
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Machine learning terms you must know about as a beginner. These terms won't mean anything unless you know what Machine learning is all about.> Machine learning is the process of
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Which libraries do you really need to get started with Machine Learning and why? First and foremost, make sure that you have nailed the fundamental concepts of Python because machine
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How to read research papers for machine learning?( Advice from Andrew Ng, one of the most well known machine learning educators on the internet ) Step 1 : Collect relevant
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These are the tools you will need for machine learning in Python. AnacondaWhen you work in python, you'll be working with several frameworks and many of them work only on
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GPT-3: one of the world's most advanced machine learning models.Let's talk about it.(will it take your job?) Generative Pre-trained Transformer 3 or GPT-3 for short, is an autoregressive language model
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How to learn Python for machine learning. The beginner's guide.(based on my real life experience of mentoring 300+ students) In this thread we'll look at all the concepts in Python
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A simple guide on how to train your first neural network in under 10 minutes to kick-start your machine learning journey.(+ no setup required and free extra resources) For this
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There are several skills needed for learning machine learning that no one talks about. Here are some of them.(from what I've learned over the past two years) This thread aims
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