Machine-Learning

WEEK 1

Following are the links to material which give a basic introduction on Machine Learning and it's fundamental principles.

Introductory PPT: https://drive.google.com/file/d/10TbB4ynVh1fZ7hxcu0dZsXSKZo_0S-u_/view?fbclid=IwAR1HTvnBvju5PBgSF2czRKMTPJQCosph6y74UPJH1BNkX4YrmcHTG_1SuF4

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WEEK 2

Have you ever thought of writing your own algorithms for house price prediction or classifiying which tumour in the human body is harmful or not or developing your own algorithms which could possibly outsmart humans in playing Chess? Enjoy this saturday learning about the basics of ML and its some of its most popular algorithms like classification, clustering , regression and the list goes on. Click here to learn more..... https://medium.com/machine-learning-for-humans/why-machine-learning-matters-6164faf1df12

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WEEK 3

AI Saturday's is back with more interesting stuff to read up this weekend! For all those deep learning enthusiasts out there, we've some great reading material this week.

1. Just recently , Facebook AI came up with this amazing new version of PyTorch which aids the 3D visualisation of neural networks and other representations in the 3D space. Click Here to Learn More... https://ai.facebook.com/blog/-introducing-pytorch3d-an-open-source-library-for-3d-deep-learning/?__cft__[0]=AZX1R9iv7051zGvTY1xAW__dVHME5FoCzsIgyZ5iJEFPIsMH4eNARXuxL2divzlxBXOF3Lwki6MRuuRX1qrdUg8XE3S4qXrycLxgV4GP3gu-iKKxleqfuhv9ylR8goV48qG_kJ2l74GUNbhCrN451OREXAU3kdmb-nXsXmMBpwG0iQ&__tn__=-UK-R

2. Have you ever thought of an improvement of the pre-existing algorithm for Object Detection? Click Here to Read More .... https://www.catalyzex.com/paper/arxiv:2002.01609?fbclid=IwAR1yUUKgLc2smLl4Xr-OX8LmchVnMh_bvE_PXlBqKnx6pDtyNFFkPZYa7Ak

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WEEK 4

Have you ever drooled over the idea of how a machine learns from experience? Have you ever thought about the similarities between a human neuron and the artificial neural network? Mind you. They work on the exact same principle! AI Saturday's is back with another post on Neural Networks and it's applications. Click here to learn more... https://towardsdatascience.com/simple-introduction-to-neural-networks-ac1d7c3d7a2c

Let's assume a scenario wherein you want to extract complex equations from handwritten notes, pictures or PDFs. Seems like a very difficult task right? Not any more. Start-up Mathpix launched Snip, a free tool which leverages computer-vision to instantly convert screenshots of complex mathematical equations into editable text (LaTex). It allows to take pictures of individual equations, paragraphs , handwritten or not , and even full pages of text. Snip now offers an API , making it even easier to use. Click here to read more... https://mathpix.com/?fbclid=IwAR1j_gCuNJhsFBJ6D_3vLFe2me0Kf76Zhg-kx8ioJeOE7Y_HulVmqFtBrJc For learning to use the tool click here.. https://youtu.be/j5iryTEJPsE

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WEEK 5

Do you want to do something fascinating like Self driving cars,Siri or Alexa? IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go - a game where intuition plays a key role.Deep Learning can solve such complex problems and that's why it's at the heart of Artificial intelligence. AI Saturday's is back to introduce this amazing branch of machine learning DEEP LEARNING. Click here to learn more.... https://towardsdatascience.com/introducing-deep-learning-and-neural-networks-deep-learning-for-rookies-1-bd68f9cf5883

https://machinelearningmastery.com/loss-and-loss-functions-for-training-deep-learning-neural-networks/?fbclid=IwAR0tSwXJfXI7vbjxSqP2vp6ntnoBUlYwHncBpxlWD1Mjs4k6yrEXxEhDqrQ

https://medium.com/@phuctrt/loss-functions-why-what-where-or-when-189815343d3f Nowadays, we are witnessing many buzzwords popping up every now and then.'Chatbots' is one of those.A chatbot is a bot type that simulates human conversation. This video will guide you! https://youtu.be/6TVw5vjhlO4

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WEEK 6

In today's day and age of instant image sharing, it's essential to get your tech ready to talk the language of images. This is where convolutional neural networks (CNNs) are born. Their job is to take a regular image as input and provide a classification output, similar to the processes followed by the human brain. Check out here to know more.. https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53

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WEEK 7

Have you ever pondered on the way crime rates are predicted or how recent posts on the analysis of Covid-19 data predict the future state of the number of infections? This is where time-series comes into the picture. Click here to read more... https://www.statisticssolutions.com/time-series-analysis/?fbclid=IwAR2tz3ds0Qxgo6RRMug82F7B2SlAQqMKZrL_ul5osB5GQNjkJjsiPhcOXJE

In addition, curious to know how text suggestions or sentiment analysis on twitter tweets works? This week let's get started with another Neural Network - Recurrent Neural Nets. Click here to read more how it helps with the above... https://towardsdatascience.com/recurrent-neural-networks-d4642c9bc7ce

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WEEK 8

Have you heard Mona Lisa speaking?' Yes! The enigmatic, painted smile of the "Mona Lisa" is known around the world, but that famous face recently displayed a startling new range of expressions, courtesy of artificial intelligence (AI). AI Saturdays is back to introduce you all an amazing part of AI - GAN(Generative Adversarial Networks). Using this we can generate photorealistic images, change facial expressions, create computer game scenes, visualize designs, and much more.GANs are an approach to generative modelling using deep learning methods, such as convolutional neural networks. Refer the link below for greater insight: https://towardsdatascience.com/understanding-generative-adversarial-networks-gans-cd6e4651a29

https://jonathan-hui.medium.com/gan-some-cool-applications-of-gans-4c9ecca35900