AI News, Books And Videos¶

Books And Videos¶

IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code.

The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high-performance computing through just-in-time compilation, parallel computing, and graphics card programming.

Data Analysis with Python and Pandas Tutorial Introduction

Pandas is a Python module, and Python is the programming language that we're going to use. The Pandas module is a high performance, highly efficient, and ...

How to Predict Stock Prices Easily - Intro to Deep Learning #7

We're going to predict the closing price of the S&P 500 using a special type of recurrent neural network called an LSTM network. I'll explain why we use ...

lmonade: a platform for development and distribution of scientific software; SciPy 2013 Presentation

Authors: Erocal, Burcin, TU Kaiserslautern Track: Reproducible Science Most results in experimental mathematics are accompanied by software ...

Scaling Machine Learning on Industrial Time Series with Cloud Bigtable and AutoML (Cloud Next '18)

The saying goes that machine learning is about data and algorithms, but mostly data. In a real-world industrial setting, this data is usually messy, error-laden, ...

DATA & ANALYTICS - From stream to recommendation with Cloud Pub/Sub and Cloud Dataflow

Recorded on Mar 24 2016 at GCP NEXT 2016 in San Francisco. Learn how a company whose data was increasing at a rate of 60 billion events per day decided ...

DS Lecture Fall 2017 Prabhat

Ph.D. candidate Prabhat of NERSC at Berkeley discusses the Top 10 problems facing Data Analytics today to IU students online.

Azure Machine Learning: Predict Who Survives the Titanic - Jennifer Marsman - Duo Tech Talk

Interested in doing machine learning in the cloud? In this demo-heavy talk, I will set the stage with some information on the different types of machine learning ...

Predicting Community Engagement on Reddit using Tensorflow, GDELT, & Cloud Dataflow (Cloud Next '18)

What if you took a huge cross-section of the world's news from the GDELT Project, mixed it with data from Reddit, and predicted what drives community ...