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Machine learning
244 Pins
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Shreeram Vaidhyanathan
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1001 ways to crash Excel on Twitter: "9. All of the above. (And the reason #powerbi sometimes makes me sad and need to think about r custom visuals)… "
Machine Learning Models
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The main types of machine learning | Credit: Vasily Zubarev (vas3k.com)
Paweł Cisło
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Machine Learning Summarized in One Picture - Data Science Central
A Perfect Blend
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Classical machine learning | Credit: Vasily Zubarev (vas3k.com)
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10 Machine Learning Algorithms You Should Know in 2018 - Big Data News
Lee Baker
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Markov Chains in Python: Beginner Tutorial
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Support Vector Machines - Quora
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TensorFlow is a very powerful and open source library for implementing and deploying large-scale machine learning models. This makes it…
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Linear Discriminate Analysis #LDA #algorithm
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Aws Serverless
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This hands-on course will introduce you to serverless computing and then you will build a serverless media library that uses AWS image recognition technology to identify and tag thousands of objects and activities in a matter of seconds.
Learn Serverless Now
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Introduction to Pseudo-Labelling : A Semi-Supervised learning technique
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Four approaches to AI and Machine Learning Figure 2
Lee Baker
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Reinforcement Learning: Introduction to Monte Carlo Learning using the OpenAI Gym Toolkit
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Text Classification 4: Support Vector Machine - YouTube
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In the midst of a recent engagement an executive suddenly asked, “Are we using Machine Learning?”. This caught us off-guard; working in the field for many years, we use the “learning sciences” virtually every day to solve hard problems.
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A Complete Machine Learning Walk-Through in Python: Part One
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Backpropagation — ML Cheatsheet documentation
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Support Vector Machines (SVM): a fast and dependable classification algorithm that performs very well with a limited amount of data.
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The 5 #MachineLearning "tribes" and the Evolution of #AI via @KirkDBorne | #BigData #DataScience #DeepLearning
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Encoder-Decoder Models for Text Summarization in Keras
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Global insurance company AXA used machine learning in a POC to optimize pricing by predicting “large-loss” traffic accidents with 78% accuracy.
Journey to Machine Learning – 100 Days of ML Code
Lee Baker
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