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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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State of AI 2019: TL;DR;

State of AI 2019: TL;DR;

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6 min read
Try Reinforcement Learning with Donkey Car

Try Reinforcement Learning with Donkey Car

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4 min read
Predict the price of the stocks | ML Challenge

Predict the price of the stocks | ML Challenge

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1 min read
Predict the future of programming

Predict the future of programming

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1 min read
Probability Distributions with Tensorflow 2.0

Probability Distributions with Tensorflow 2.0

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8 min read
Dear Random Forest

Dear Random Forest

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4 min read
Running the "Real Time Voice Cloning" project in Docker

Running the "Real Time Voice Cloning" project in Docker

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5 min read
PySpark and Latent Dirichlet Allocation

PySpark and Latent Dirichlet Allocation

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Comments 1
9 min read
Practical Machine Learning for Front End Developers

Practical Machine Learning for Front End Developers

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1 min read
Types of Artificial Intelligence

Types of Artificial Intelligence

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3 min read
What is Artificial Intelligence?

What is Artificial Intelligence?

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3 min read
A language for data flow and analysis

A language for data flow and analysis

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4 min read
Learning Docker 002 ~Images~

Learning Docker 002 ~Images~

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3 min read
40 Resources to Completely Master Markov Decision Processes

40 Resources to Completely Master Markov Decision Processes

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12 min read
What is a Random Variable?

What is a Random Variable?

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3 min read
Why do Neural Networks Need an Activation Function?

Why do Neural Networks Need an Activation Function?

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6 min read
Build a Chatbot using Flask in 5 minutes

Build a Chatbot using Flask in 5 minutes

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3 min read
Have you worked on an AI Project that related to chemistry?

Have you worked on an AI Project that related to chemistry?

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Comments 1
1 min read
imbalanced-learn 0.5.0 is out

imbalanced-learn 0.5.0 is out

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1 min read
Data Scientists|Engineers: What are the Frameworks you use the most at your job?

Data Scientists|Engineers: What are the Frameworks you use the most at your job?

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1 min read
Building an Automated Equity Stock Trader - 1

Building an Automated Equity Stock Trader - 1

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2 min read
Why Probability for Deep Learning?

Why Probability for Deep Learning?

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3 min read
Overview of NLP services on IBM Cloud

Overview of NLP services on IBM Cloud

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2 min read
How to Get a Dataset and Create a ML Model to Classify Yoga Poses

How to Get a Dataset and Create a ML Model to Classify Yoga Poses

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5 min read
Simple Machine Learning, Intro to K-Means Clustering

Simple Machine Learning, Intro to K-Means Clustering

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5 min read
What I Learned from Trying to Make a Lie Detector Using a Neural network

What I Learned from Trying to Make a Lie Detector Using a Neural network

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3 min read
How to create FrozenLake random maps

How to create FrozenLake random maps

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3 min read
LSTM: How to Train Neural Networks to Write like Lovecraft

LSTM: How to Train Neural Networks to Write like Lovecraft

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12 min read
Slot Filling Chatbots

Slot Filling Chatbots

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2 min read
Principled Machine Learning: Practices and Tools for Efficient Collaboration

Principled Machine Learning: Practices and Tools for Efficient Collaboration

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12 min read
Intro to CUDA technology

Intro to CUDA technology

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6 min read
Machine Learning — NLP Vectorization Techniques

Machine Learning — NLP Vectorization Techniques

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2 min read
Introducing MAX— Model Asset Exchange

Introducing MAX— Model Asset Exchange

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6 min read
Setting up your Mac for Machine Learning

Setting up your Mac for Machine Learning

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2 min read
Principal Components Analysis with Tensorflow 2.0

Principal Components Analysis with Tensorflow 2.0

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4 min read
Gym Tutorial: The Frozen Lake

Gym Tutorial: The Frozen Lake

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8 min read
A Beginner's Checklist to Starting Your First Machine Learning Project

A Beginner's Checklist to Starting Your First Machine Learning Project

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6 min read
Why Git and Git-LFS is not enough to solve the Machine Learning Reproducibility crisis

Why Git and Git-LFS is not enough to solve the Machine Learning Reproducibility crisis

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13 min read
Balancing the Imbalanced

Balancing the Imbalanced

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10 min read
How to Convert Keras model into Tensorflow lite

How to Convert Keras model into Tensorflow lite

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1 min read
Singular Value Decomposition with Tensorflow 2.0

Singular Value Decomposition with Tensorflow 2.0

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5 min read
My first two deep learning projects

My first two deep learning projects

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4 min read
An ML app you can build with JS, and without the math 🙈

An ML app you can build with JS, and without the math 🙈

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6 min read
Convolutional Neural Networks: Python Tutorial (TensorFlow Eager API)

Convolutional Neural Networks: Python Tutorial (TensorFlow Eager API)

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9 min read
Introduction to Multilayer Neural Networks with TensorFlow’s Keras API

Introduction to Multilayer Neural Networks with TensorFlow’s Keras API

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9 min read
Basic Mathematics for Machine Learning

Basic Mathematics for Machine Learning

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6 min read
Eigendecomposition with Tensorflow 2.0

Eigendecomposition with Tensorflow 2.0

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6 min read
How do they apply BERT in the clinical domain?

How do they apply BERT in the clinical domain?

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4 min read
Introduction to Reinforcement Learning: the Frozen Lake Example

Introduction to Reinforcement Learning: the Frozen Lake Example

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4 min read
Run PoseNet with Nodejs

Run PoseNet with Nodejs

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2 min read
K Means Clustering with Dask (Image Filters for Pictures of Kittens)

K Means Clustering with Dask (Image Filters for Pictures of Kittens)

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5 min read
Reasons Why We Think Python is Good for AI and ML

Reasons Why We Think Python is Good for AI and ML

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14 min read
Deploy scikit-learn models on IBM Cloud

Deploy scikit-learn models on IBM Cloud

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4 min read
How AI Learns to Play Games

How AI Learns to Play Games

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5 min read
Demystifying NLP concepts in simple words—101

Demystifying NLP concepts in simple words—101

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1 min read
A language for programming GPUs

A language for programming GPUs

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3 min read
Scalars, Vectors, Matrices and Tensors with Tensorflow 2.0

Scalars, Vectors, Matrices and Tensors with Tensorflow 2.0

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6 min read
Data Augmentation for Audio

Data Augmentation for Audio

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3 min read
K-Means Clustering with scikit-learn

K-Means Clustering with scikit-learn

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7 min read
Three Changes Needed for AI for All

Three Changes Needed for AI for All

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1 min read
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