HoloGAN (A new generative model) learns 3D representation from natural images

Article: https://arxiv.org/pdf/1904.01326.pdf

Code: https://github.com/thunguyenphuoc/HoloGAN

Dataset: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html

Applied Deep Learning — Umberto Michelucci (en) 2018

@Machine_learn

This AI Learned To Animate Humanoids 🚶

https://www.youtube.com/watch?v=cTqVhcrilrE

code: https://github.com/sebastianstarke/AI4Animation

Check out Lambda here and sign up for their GPU Cloud : https://lambdalabs.com/papers

Text Classification with State of the Art NLP Library — Flair

join👇👇👇
@DeepLearning_AI

https://towardsdatascience.com/text-classification-with-state-of-the-art-nlp-library-flair-b541d7add21f

Understanding Machine Learning Course - New World : Artificial Intelligence

join👇👇👇
@DeepLearning_AI

https://www.newworldai.com/understanding-machine-learning-course/

OpenCV Vehicle Detection, Tracking, and Speed Estimation ==> (with source code)

In this tutorial, you will learn how to use OpenCV and Deep Learning to detect vehicles in video streams

join👇👇👇
@DeepLearning_AI

https://www.pyimagesearch.com/2019/12/02/opencv-vehicle-detection-tracking-and-speed-estimation/

ML vs DL

I often get asked- what's the BEST Certification for #datascience or #machinelearning?

👉My answer is: none

The reality is that certification don't matter for data science.

This is not commerce. we are not using the same techniques over and over again to solve well-defined problems.

The problems are challenging, the data is messy and numerous techniques are used.

So if you've wondering which certification you should get, Save yourself,some mental energy and stop thinking about it- they are not really matter.

👉 Instead, grab a dataset and start playing with it.

👉 Start applying what you know and trying to solve interesting problems, learn something new every day.

👉 Here are few places to grab datasets to get you started



Google: https://toolbox.google.com/datasetsearch
Kaggle: https://www.kaggle.com/datasets
US Government Dataset: www.data.gov
Quandl: https://www.quandl.com/
UCI
ML repo: http://mlr.cs.umass.edu/ml/datasets.html
World Bank🏦: https://data.worldbank.org/

Question received in chat room!!!
if anyone knows please help him out in chat!!!

Anybody knows the geometrical intuition of train/test differences of times based splitting and random splitting..?

Buffalo University Comprehensive Lecture Slides for Machine Learning and Deep Learning

By Professor Sargur Srihari

Machine Learning:
https://cedar.buffalo.edu/~srihari/CSE574/

Deep Learning:
https://cedar.buffalo.edu/~srihari/CSE676/index.html

Probabilistic Graphical Models:
https://cedar.buffalo.edu/~srihari/CSE674/

Data Mining:
https://cedar.buffalo.edu/~srihari/CSE626/index.html

FREE course on NLP and Machine Learning with Python
https://www.udemy.com/course/machine-learning-with-python-and-nlp/?couponCode=MACHINE_LEARNING01