🔹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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📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #NeuralNeworks
#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

⭕️ Fine-tuning ResNet with Keras, TensorFlow, and Deep Learning

In this tutorial, you will learn how to fine-tune #ResNet using #Keras, #TensorFlow, and Deep Learning.

https://www.pyimagesearch.com/2020/04/27/fine-tuning-resnet-with-keras-tensorflow-and-deep-learning/
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📌Via: @cedeeplearning

#machinelearning #AI
#deeplearning #neuralnetworks #math
#tutorial #free

⚪️ 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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📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #machinelearning #AI #coursera #free #python #machinelearning #neuralnetworks

⭕️ Loss functions for image segmentation

🔹 Segmentation Loss Odyssey

Github: https://github.com/JunMa11/SegLoss

Paper: https://arxiv.org/abs/2005.13449v1
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📌 Via: @cedeeplearning
📌 Other social media: https://linktr.ee/cedeeplearning

📕 deep learning in computer vision
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📌Via: @cedeeplearning

#deeplearning #math #AI
#computer_vision #neuralnetworks
#machinelearning #datascience

⚪️ 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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📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #machinelearning #AI #coursera #free #python #machinelearning #neuralnetworks

⭕️ BentoML

🔹BentoML is an open-source platform for high-performance ML model serving.

https://github.com/bentoml/BentoML
bentoml/BentoML

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📌Via: @cedeeplearning

#deeplearning #machinelearning
#neuralnetworks #artificial_intelligence

⚪️ 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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📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #machinelearning #AI #coursera #free #python #machinelearning #neuralnetworks

⭕️ What are tensors?

Learn from these amazing blogs:

🔹 A Gentle Introduction to Tensors for Machine Learning with NumPy by: Jason Brownlee. https://machinelearningmastery.com/introduction-to-tensors-for-machine-learning/

🔹 WTF is a Tensor?!? by: Matthew Mayo.
https://www.kdnuggets.com/2018/05/wtf-tensor.html

🔹 Quick ML Concepts: Tensors by: Chi Nok Enoch Kan.
https://towardsdatascience.com/quick-ml-concepts-tensors-eb1330d7760f

🔹 Our Instagram post covering this topic: https://www.instagram.com/p/CCSnIO9AVfd/?igshid=a2bgrgoip8zx
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📌Via: @cedeeplearning

#tensor #tensorflow #machinelearning
#neuralnetworks #deeplearninig #tutorial

⭕️ OpenAI’s new language generator GPT-3 is shockingly good—and completely mindless

📌Via: @cedeeplearning


https://www.technologyreview.com/2020/07/20/1005454/openai-machine-learning-language-generator-gpt-3-nlp/

#deeplearning #gp3 #machinelearning #math
#neuralnetworks #AI #MIT

🔹 “Three must know SQL questions to pass your data science interview”
by Jay Feng

Link: https://link.medium.com/dcyr5YtkI7

📌 Via: @cedeeplearning

#sql #datascience #interview #machinelearning
#resume

⚪️ 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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📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #machinelearning #AI #coursera #free #python #vectorizing #machinelearning #neuralnetworks

⭕️ Fast and Accurate Neural CRF Constituency Parsing

Link on Github: https://github.com/yzhangcs/parser

Paper: https://www.ijcai.org/Proceedings/2020/560
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📌Via: @cedeeplearning

#deeplearning #neuralnetworks

🔹 Facebook built a powerful AI model to simulate entire social media networks in action

⭕️ When it comes to live-fire high-wire acts in the tech industry, there can be few endeavors more daunting than executing a security update to a software platform hosting more than 2.6 billion users.

⭕️ But that’s exactly what Facebook does every time it rolls out an update. Sure, it mitigates the potential for terror by making the changes in batches and conducting an incredible amount of internal testing. But at the end of the day, you never know precisely how any given change could upset the delicate user balance that keeps Facebook on people’s screens.

https://thenextweb.com/neural/2020/07/23/facebook-built-a-powerful-ai-model-to-simulate-entire-social-media-networks-in-action/

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📌Via: @cedeeplearning

#AI #machinelearning #deeplearning
#neuralnetworks #facebook #detection
#prediction

⚪️ 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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📌Via: @cedeeplearning
📌Other social media: https://linktr.ee/cedeeplearning

#DeepLearning #machinelearning #AI #coursera #free #python #vectorizing #machinelearning #neuralnetworks

⭕️ How YOLOv5 solved an ambiguity encountered by YOLOv3

To the ones who not might be knowing, a new version of YOLO (You Only Look Once) is here, namely YOLO v5. Many thanks to Ultralytics for putting this repository together.

link: https://towardsdatascience.com/indian-car-license-plate-detection-using-yolo-v5-ae2574578175#4a06-971d24018f84
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📌Via: @cedeeplearning

#deeplearning #YOLO #neuralnetworks #selfdriving #machinelearning