Judas Priest | Mr. Robinson | Triada - Istok from AGR (2013) MP3, 320 kbps
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Beautiful happy girl with flowers in hands


Beautiful happy girl with flowers in hands

Beautiful happy girl with flowers in hands
8 files | max 4000~8000 | 300 dpi | 118 Mb

An Introduction to Excel VBA Programming: with Applications in Finance and Insurance

http://sanet.pics/storage-3/0517/B3WuvZuxqO9pXroVV47vPNtjKQFUX6Vy.jpg
by Guojun Gan
English | 8 May 2017 | ASIN: B072BMKLGZ | 300 Pages | AZW3 (Original) + EPUB/PDF (conv) | 7 MB

Big Data Analytics with R (True PDF)


Big Data Analytics with R (True PDF)

by Simon Walkowiak
English | 2016 | ISBN: 1786466457 | 498 Pages | True PDF | 17 MB

Learnnode - Learn to build applications and APIs with Node.js


Learnnode - Learn to build applications and APIs with Node.js
Learnnode - Learn to build applications and APIs with Node.js
WEBRip | English | MP4 | 1920 x 1080 | AVC ~582 kbps | 30 fps
AAC | 235 Kbps | 48.0 KHz | 2 channels | 09:53:13 | 3.8 GB
Genre: eLearning Video / Development, Programming

Learn to build applications and APIs with Node.js Node.js, Express, MongoDB and friends are some of the most in-demand web development skills. This course is the cumulation of everything Ive learned building dozens of Node.js applications over the past five years.

Data Science with Python and R LiveLessons (Anaconda Video Series)


Data Science with Python and R LiveLessons (Anaconda Video Series)
Data Science with Python and R LiveLessons
ISBN-10: 0134672623 | .MP4, AVC, 4000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 9.3 hours | 19.07 GB
Instructor: Ian Stokes-Rees

Data Science with Python and R LiveLessons is tailored to beginner data scientists seeking to use Python or R for data science. This course includes fundamentals of data preparation, data analysis, data visualization, machine learning, and interactive data science applications. Students will learn how to build predictive models and how to create interactive visual applications for their line of business using the Anaconda platform. This course will introduce data scientists to using Python and R for building on an ecosystem of hundreds of high performance open source tools.

Continuous Integration (CI) With Jenkins - Basic Build Jobs

Continuous Integration (CI) With Jenkins - Basic Build Jobs
Continuous Integration (CI) With Jenkins - Basic Build Jobs
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 34M | 180 MB
Genre: eLearning | Language: English

Stunning Boudoir Photography Techniques with Rachel Stephens


Stunning Boudoir Photography Techniques with Rachel Stephens
Boudoir Photography with Rachel Stephens
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 15 Hours | 6.39 GB
Genre: eLearning | Language: English

Becoming a successful boudoir photographer is all about making your client feel confident and beautiful. How else can you expect them to relax, overcome any shyness about their body, and follow your specific posing directions? Boudoir photography is a delicate, intimate art that takes time to hone. Join Rachel Stephens for a three-day course that will cover everything from gear to lighting to posing and show you how to build a thriving boudoir business in any market.

Windows 8.1 With Update 9600.18654 Aio 32In2 v17.04.12 (x86/x64)


http://i.imgur.com/JCmxgbf.png

Windows 8.1 With Update 9600.18654 Aio 32In2 v17.04.12 (x86/x64) | 3.6/2.8 GB

101 Tips on Nutrition for People with Diabetes (101 Tips Series)


101 Tips on Nutrition for People with Diabetes (101 Tips Series)

101 Tips on Nutrition for People with Diabetes (101 Tips Series) by Patti B. Geil R.D. and R.D. Lea Ann Holzmeister R.D.
English | 2006 | ISBN: 1580402542 | ISBN-13: 9781580402545 | 157 pages | EPUB | 4,1 MB

Introduction to Computer Vision with TensorFlow

Introduction to Computer Vision with TensorFlow
Introduction to Computer Vision with TensorFlow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 30M | 498 MB
Genre: eLearning | Language: English

This course provides an introduction to using deep learning models to solve computer vision tasks in TensorFlow and is focused on the work horse of deep learning image models: the convolutional neural network.

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