Packt – Keras Tips Tricks and Techniques-RiDWARE

Packt – Keras Tips Tricks and Techniques-RiDWARE
English | Size: 3.01 GB
Category: Tutorial

Tips and tricks to improve your skills with Keras
Learn
Run deep learning models with Keras and a TensorFlow backend
Use image augmentation to improve training accuracy for your Keras models
Learn how to generate articles with Recurrent Neural Networks in Keras
Use Keras for Natural Language Processing
Deploy Keras models into production
Use the Keras Functional API for deep learning

Udemy – Bootcamp for Knime Analytics Platform

Udemy – Bootcamp for Knime Analytics Platform-BiFiSO
English | Size: 2.57 GB
Category: Tutorial

For users new to KNIME and data science, or experienced users of other data science tools.
What you’ll learn
In this course, students will learn how to get started using the free, open source KNIME Analytics Platform to load, blend, transform, and process data from multiple sources. They’ll also be introduced to machine learning algorithms to solve classification problems. We’ll do this by covering different features and nodes available within the software package.

Smithsonian Ch. – Rise of Tokyo in Color (2016)

Smithsonian Ch. – Rise of Tokyo in Color (2016)
English | Size: 1.62 GB
Category: Documentary

Rise of Tokyo in Color
It’s a city that transformed itself from a sprawl of wooden dwellings into a huge modern metropolis. Over 150 years, Tokyo has risen from the ashes twice–from an epic earthquake and a devastating series of bombings–rebuilding itself into the world’s largest city. Examine the evolution and modernization of Tokyo through digitally remastered and rarely seen colorized archival footage.

PluralSight – Designing an Exploratory Data Analysis Research Plan

PluralSight – Designing an Exploratory Data Analysis Research Plan-JGTiSO
English | Size: 253.53 MB
Category: Tutorial

A well-crafted exploratory data analysis research plan can make a big difference in a data scientist’s work being implemented in their organization. In this course, you will learn the foundational components and how to deliver a successful analysis.