Latest Twitter Threads by @abacusai on Thread Reader App

Aug 11, 2023 • 10 tweets • 2 min read

Backpropagation and Gradient Descent - The dynamic duo of deep learning

Ever wondered about the mathematics behind NN training? Here is a simplified way to understand the process:

1/10

1. Initialize the neural network: Create a neural network and initialize it with random weights and biases.

2. Feedforward pass: NN predicts an outcome based on input. For example: does the input image have a cat?

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Jul 25, 2023 • 11 tweets • 6 min read

Solve more problems.

Solving problems is the best way to learn Machine Learning, but most people don't know where to start.

Here are 10 projects you can use to kick off your journey: 1. Titanic: Machine Learning from Disaster

This is the perfect project to get started with classification algorithms.

It will teach you some feature engineering practices, and you can solve the problem with a simple decision tree.

https://t.co/L8foURs9PYkaggle.com/c/titanic

Jul 24, 2023 • 9 tweets • 4 min read

Here is a FREE guide to learning the Mathematics of AI/ML.

Organized into three sections:

• Probability and Statistics
• Linear Algebra
• Multivariate Calculus

7 resources for all levels.

Let's start: 1. Seeing Theory

An interactive website that takes you through some of the most critical probabilities and statistics concepts.

These should be enough to get you started, and you will have fun going through it! https://t.co/rx4tLQ2c2Mseeing-theory.brown.edu

Jun 18, 2023 • 8 tweets • 4 min read

Free machine learning education.

Many top universities publicly make their Machine Learning and Deep Learning programs available. All of this information is now online and free for everyone!

Here are 6 of these programs.

Pick one and get started!

Introduction to Deep Learning
MIT Course 6.S191
Alexander Amini and Ava Soleimany

Introductory course on deep learning methods and practical experience using TensorFlow.

Covers applications for computer vision, natural language processing, and more.

introtodeeplearning.com

Apr 25, 2023 • 5 tweets • 2 min read

For those who write software:

The more specific you are, the better results you'll get from ChatGPT.

Here are a few techniques to improve your results and a few examples: Phrase your prompts with positive instructions.

Create a session dedicated to working with Python. Initialize it with the following prompt.

Tell ChatGPT what you want to get instead of what you don't want.

Apr 20, 2023 • 6 tweets • 1 min read

Building Machine Learning Systems is a team effort.

If you want to build a team, here are the roles you need:

• AI Architect
• Data Scientist
• Data Engineer
• Machine Learning Engineer

Here is the responsibility of each of these roles: AI Architect

This person focuses on the architecture of the overall system.

The architect is the interface between data scientists, data engineers, machine learning engineers, operations, development, UI/UX, and business unit leaders.

Apr 16, 2023 • 12 tweets • 3 min read

Python 🐍 is a world-class language.

Here are some of the features that make it one of the most popular languages in the world:

1/12 You can slice and dice arrays very easily.

2/12

Apr 14, 2023 • 6 tweets • 1 min read

Here are 4 problems we recommend if you want to start with Machine Learning from the basics: Problem 1

The Titanic Challenge in Kaggle is among the most popular problems for beginners.

This is a classification problem that deals with structured data. It will show you the impact of good feature engineering.

Apr 3, 2023 • 9 tweets • 5 min read

Here is a FREE guide to learning the Mathematics of AI/ML.

Organized into three sections:

• Probability and Statistics
• Linear Algebra
• Multivariate Calculus

7 resources for all levels.

Let's start: 1. Seeing Theory

An interactive website seeing-theory.brown.edu that takes you through some of the most critical probabilities and statistics concepts.

These should be enough to get you started, and you will have fun going through it!

Mar 29, 2023 • 12 tweets • 6 min read

Mar 27, 2023 • 8 tweets • 4 min read

Free machine learning education.

Many top universities are publicly making their Machine Learning and Deep Learning programs available. All of this information is now online and free for everyone!

Here are 6 of these programs.

Pick one and get started!

Mar 8, 2023 • 12 tweets • 5 min read

10 YouTube videos for anyone starting with machine learning.

On libraries, algorithms, and tools: 1. Notebooks are a fantastic way to code, experiment, and communicate your results.

Take a look at @CoreyMSchafer's fantastic 30-minute tutorial on Jupyter Notebooks.

Feb 24, 2023 • 12 tweets • 2 min read

11 key concepts of machine learning: Target (also referred to as "y")

The target is the piece of information that we are predicting.

For example:

• the animal that's shown in a picture
• the price of a house
• whether a message is spam or not

Feb 3, 2023 • 12 tweets • 5 min read

Feb 1, 2023 • 6 tweets • 3 min read

One of the most useful Python libraries that you can learn is Pandas.

Especially if you want to build some skills in the data engineering or machine learning space, Pandas is crucial.

Here is what you need to know to get started right away. ↓ Pandas is an open-source library to analyze and manipulate data.

Some people even consider it the most powerful library to deal with data in any language!

Jan 23, 2023 • 12 tweets • 6 min read

Solving problems is the best way to learn Machine Learning.

But most people don't know where to start.

Here are 10 projects you can use to kick off your journey: 1. Titanic: Machine Learning from Disaster

This is the perfect project to get started with classification algorithms.

It will teach you some feature engineering practices, and you can solve the problem with a simple decision tree.

kaggle.com/c/titanic

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