🔹🔹 Deep Learning for Detecting Pneumonia from X-ray Images

🖊By Abhinav Sagar

🔻This article covers an end to end pipeline for pneumonia detection from X-ray images.

⚪️ Environment and tools

scikit-learn
keras
numpy
pandas
matplotlib

🔻🔻Do not miss out this article!!
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📌Via: @cedeeplearning

https://www.kdnuggets.com/2020/06/deep-learning-detecting-pneumonia-x-ray-images.html

#deeplearning #python
#machinelearning #numpy
#pandas #matplotlib
#keras #scikit_learn #healthcare #image_recognition

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 13 Vectorization

Neural Networks and Deep Learning
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#DeepLearning #NeuralNeworks
#machinelearning #AI #coursera
#free #python #supervised_learning
#classification #vectorization

🔹 How to Think Like a Data Scientist

🖊By Jo Stichbury

🔻So what does it take to become a data scientist? For some pointers on the skills for success, I interviewed Ben Chu, who is a Senior Data Scientist at Refinitiv Labs.

🔻Be curious
🔻Be scientific
🔻Be creative
🔻Learn how to code
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📌Via: @cedeeplearning

https://www.kdnuggets.com/2020/05/think-like-data-scientist-data-analyst.html

#datascience #machinelearning
#tutorial #roadmap
#python #math #statistics #neuralnetworks

🔹 Study by - LinkedIn Learning.
some important skills needed by companies for 2020
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#skill #python #machinelearning #computerscience #datascience
#tutorial #softskills #hardskills

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 14 More Vectorization Examples

Neural Networks and Deep Learning
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#DeepLearning #NeuralNeworks
#machinelearning #AI #coursera
#free #python #supervised_learning
#classification #vectorization

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 15 Vectorizing Logistic Regression

Neural Networks and Deep Learning
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#DeepLearning #NeuralNeworks
#machinelearning #AI #coursera
#free #python #supervised_learning
#classification #vectorization

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 16 Vectorizing Logistic Regression's Gradient Computation

Neural Networks and Deep Learning
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#DeepLearning #NeuralNeworks
#machinelearning #AI #coursera
#free #python #supervised_learning
#logistic_regression #gradient_computation

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 17 Broadcasting in Python

Neural Networks and Deep Learning
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#DeepLearning #NeuralNeworks
#machinelearning #AI #coursera
#free #python #supervised_learning
#broadcasting #python

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 18 A Note on Python Numpy Vectors

Neural Networks and Deep Learning
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#free #python #supervised_learning
#numpy #python

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 19 Quick Tour of Jupyter iPython Notebooks

Neural Networks and Deep Learning
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#DeepLearning #NeuralNeworks
#machinelearning #AI #coursera
#free #python #supervised_learning
#jupyter #ipython

🔹The 5 Basic Statistics Concepts Data Scientists Need to Know

Statistics can be a powerful tool when performing the art of Data Science (DS). From a high-level view, statistics is the use of mathematics to perform technical analysis of data. A basic visualisation such as a bar chart might give you some high-level information, but with statistics we get to operate on the data in a much more information-driven and targeted way. The math involved helps us form concrete conclusions about our data rather than just guesstimating.
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📌Via: @cedeeplearning

link: https://towardsdatascience.com/the-5-basic-statistics-concepts-data-scientists-need-to-know-2c96740377ae

#statistics #datascience
#machinelearning
#tutorial #AI #python
#deeplearning

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 20 Explanation of Logistic Regression's Cost Function

Neural Networks and Deep Learning
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#machinelearning #AI #coursera
#free #python #machinelearning #cost_function

🔹 Reinforcement Learning

Acme: A research framework for reinforcement learning

Github: https://github.com/deepmind/acme

Paper: https://arxiv.org/abs/2006.00979
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📌Via: @cedeeplearning

#deeplearning #machinelearning
#neuralnetworks #python #math
#statistics #reinforcement #Acme

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 21 Neural Network Overview

Neural Networks and Deep Learning
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⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 22 Neural Network Representations

Neural Networks and Deep Learning
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⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 23 Computing Neural Network Output

Neural Networks and Deep Learning
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⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 24 Vectorizing Across Multiple Examples

Neural Networks and Deep Learning
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⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 25 Explanation For Vectorized Implementation

Neural Networks and Deep Learning
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⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 26 Activation Functions

Neural Networks and Deep Learning
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#DeepLearning #machinelearning #AI #coursera #free #python #math #activation_function #machinelearning #neuralnetworks

⚪️ Basics of Neural Network Programming

✒️ by prof. Andrew Ng
🔹Source: Coursera

🔖 Lecture 27 Why Non-linear Activation Functions

Neural Networks and Deep Learning
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#DeepLearning #machinelearning #AI #coursera #free #python #math #activation_function #machinelearning #neuralnetworks