There are hundreds of machine learning algorithms out there. But you only need a few. Here are 9 of the most useful choices: 1. Transformers
2. LSTMs
3. CNNs
4. GBT
5. K-Means
6. Naive Bayes
7. Logistic Regression
8. Reinforcement Learning
9. KNN
@abacusai
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9 Essential Machine Learning Algorithms You Need to Know
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TensorFlow and Keras Deep Learning Tutorial Without PhD Required
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TensorFlow, Keras, and deep learning, without a Ph.D. What you'll learn: • What is a neural network
• How to build one
• Learning rate schedules
• How to build convolutional neural networks
• How to use regularization
• What is overfitting https://
codelabs.developers.google.com/codelabs/cloud
-tensorflow-mnist/#0
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Free Webinar on Deep Learning Techniques and Model Operationalization
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A review of the state-of-the-art deep learning techniques. Nov 21.
You can attend for FREE! Here is what you'll learn: • Experiment and iterate on models
• Evaluate results
• Operationalize them https://
eventbrite.com/e/ai-assisted-
data-science-tony-stark-and-jarvis-tickets-458646302437
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Building Machine Learning Systems: Complete Components Overview
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Building machine learning systems is hard. Some of the components you need: 1. Data sources
2. Data pipelines
3. Feature stores
4. Model training
5. Model evaluation
6. Model deployment
7. Model monitoring
8. Predictions API At @abacusai we help you with this! -
Free Kaggle Machine Learning Tutorial for Beginners
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If you want to start with machine learning and want a hands-on tutorial that goes straight to coding: "Intro to Machine Learning" from Kaggle will help you build your first model! • 8 lessons.
• 100% free.
• Prerequisites: Python It will take you ~3 hours to complete. -
Simple Deep Learning Tutorial: Classify Clothing Images with Keras
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A simple tutorial to start with Deep Learning: https://
tensorflow.org/tutorials/kera
s/classification
… • Images of clothing
• A few lines of code to classify them After a few minutes, you will have your first deep learning model running! -
Free Machine Learning Course by CMU Professors Online
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Free course on Machine Learning taught by Tom Mitchel and Maria-Florina Balcan. • You get all the notes
• You get all the videos
• Tom and Maria are amazing Course: http://
cs.cmu.edu/~ninamf/course
s/601sp15/lectures.shtml
… Carnegie Mellon University. For free! -
Scikit-learn Algorithm Selection Cheat Sheet Guide
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Scikit-learn is one of the most useful and important Python libraries for machine learning. A great cheat sheet that will help you decide which algorithm to use: