Be the only one, not the best one

Hello. What Data Science courses would you recommend for a beginner?

https://www.facebook.com/groups/DataScienceGroup/permalink/2818646221530583/?sfnsn=mo

Statistics brother, Courseear also has a program they offer it is very useful also don’t get into data science if you are not willing to put in the work brother. Good luck

https://www.udemy.com/course/datascience/

Trust me this will help a lot, and yes its very cheap

https://www.coursera.org/specializations/introduction-data-science

http://hitech360.altervista.org/what-is-data-science-and-why-use-python/

Start Learning Statistics and Linear algebra and calclaus .. there are a lot of website teach that and khan academy is good ... then start with Data Science Course From Coursera this is very good course for beginners then take Machine Learning Course (andrew ng) from Coursera

You should definitely do the Korbit AI course. It is free + you get a certificate on completion.
The best part is that you learn from an AI tutor. It's the best for beginners like you.

http://bit.ly/2PvqOcW

You can try my video channel on YouTube (TechKnowHow). I am a data scientist for a Fortune global 200 company and this video channel has 100's of tutorial videos that are complete walkthroughs of real data science projects we use every day for our execs and directors. The channel is located here: https://YouTube.com/channel/UCwgcmcn_iifLGs_38JIF6kw

I've only started learning a few months ago But, DataQuest.io was a huge help for me grasping python. And once you get comfortable with the python concepts Kaggle offers a much more intuitive learning approach through Jupyter Notebooks. Also if you do a Youtube search for "Data Science Python" There are several 6+ hour walkthrough videos. Youtube will also usually have resources for anything you get stuck on.

We just released our #NeurIPS2019 Multimodal Model-Agnostic Meta-Learning (MMAML) code for learning few-shot image classification, which extends MAML to multimodal task distributions (e.g. learning from multiple datasets). The code contains #PyTorch implementations of our model and two baselines (MAML and Multi-MAML) as well as the scripts to evaluate these models to five popular few-shot learning datasets: Omniglot, Mini-ImageNet, FC100 (CIFAR100), CUB-200-2011, and FGVC-Aircraft.

Code: https://github.com/shaohua0116/MMAML-Classification

Paper: https://arxiv.org/abs/1910.13616

#NeurIPS #MachineLearning #ML #code