Data Science and Engineering
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A new article entitled "Finding Big Value in Small Conferences" written by Kirill Eremenko is now online!

#Conference #BigData #ArtificialIntelligence #MachineLearning #DataScience

@ITNEXT

You may have seen my previous post about what DataScienceGO 2018 is, where it’s happening and who’s attending. Right now we’re going to… > Read More...

https://towardsdatascience.com/finding-big-value-in-small-conferences-d5178295d773
A new article entitled "Deep Learning Bobblehead Animations" written by Anson Wong is now online!

#ArtificialIntelligence #DeepLearning #ComputerVision #MachineLearning #Art

@ITNEXT

Multi-pose estimation is currently a state-of-the-art deep learning approach in computer vision for detecting humans and their joints in an… > Read More...

https://towardsdatascience.com/making-bobblehead-animations-using-deep-learning-1df2cb004429
The article "Python for Finance: Dash by Plotly" written by Kevin Boller with 135 claps is hot on the list of publications!

#Programming #TowardsDataScience #MachineLearning #Python #DataScience

@ITNEXT

Expanding Jupyter Notebook Stock Portfolio Analyses with Interactive Charting in Dash by Plotly. > Read More...

https://towardsdatascience.com/python-for-finance-dash-by-plotly-ccf84045b8be
An article entitled "Graphs and ML: Multiple Linear Regression" written by Lauren Shin with 49 claps is now accessible for read!

#HousingPrices #GraphDatabase #LinearRegression #MachineLearning #DataScience

@ITNEXT

Same linear regression procedures, now unlimited independent variables! Greater functionality without additional complexity for the user. > Read More...

https://towardsdatascience.com/graphs-and-ml-multiple-linear-regression-c6920a1f2e70
While I never professionally worked on graph based machine learning problems, they have always been fascinating and I have tried keeping up to date with newish papers. Today I came across a really nice package called AmpliGraph (https://lnkd.in/gpXYuuQ), available on pip and running on top of TensorFlow. The API looks very clean with a number of example notebooks. Excited to play around with this.

#machinelearning #ML #datascience #graphs #MLLM #Cubonacci #AI
"Mathematics For Machine Learning"

A book that is intended to help people understand the #mathematics behind the #MachineLearning techniques.

Its aim is to make people understand what goes under the hood in common ML algorithms.

The best part is that the team is also working on Jupyter notebook tutorials

Download the PDF of the book: https://lnkd.in/e-gXPRf

100% OFF in Home Delivery Asia 2019>>> https://lnkd.in/f_TxgKN

For Data Science Implementations:
Know Data Science https://lnkd.in/fMHtxYP
Understand How to answer Why https://lnkd.in/f396Dqg
Machine Learning Terminology https://lnkd.in/fCihY9W
Understand Machine Learning Implementation https://lnkd.in/f5aUbBM
Machine Learning on Retail https://lnkd.in/fihPTJf
and Marketing https://lnkd.in/fBncKiy
Hi Folks,

Many of you probably follow sentdex (Harrison Kinsley) on YouTube (channel link below). He has great introductory content for #machinelearning.

Recently he also wrapped up a Kickstarter campaign to write a book on how to implement #deeplearning from scratch in #python. The videos for the book are free (on his channel) and a link to the book's site can be found below.

sentdex youtube -> https://lnkd.in/gXkhEv7

kickstarter -> https://lnkd.in/gcVyRa6

book site -> https://nnfs.io/