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Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

In this video we explain how neural style transfer works with TensorFlow, and how you guys can able to create an image and drawing like Picasso by yourself, you can do many amazing things with this implementation.

To know more visit us at: bit.ly/2MY9UCw

  

#AI is the technological equivalent of the GOD particle"- James Scott, Senior Fellow, Institute for Critical Infrastructure Technology

#Today #IoT #BigData #MachineLearning #ML #fintech #ArtificialIntelligence #tech #DataScience #DeepLearning #blockchain #DL

Generated by MidJourney for Aaron Ximm, v3 engine, late July 2022; prompt: "intricate fractal otherworldy geometric tessalated landscape, hyperrealistic, alien, subdued aquatic blue-green palette, gloomy, underlighting, recessed lighting, volumetric light, gilded edges, vast panorama --ar 2:3 "

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Machine learning techniques are being actively pursued in the private sector and have been widely adopted in fields such as computational biology and computer vision. However, the role of machine learning in economics has so far been limited. This workshop was organized to provide a forum to discuss how ideas and techniques from machine learning could be applied to economic questions. The workshop will bring together researchers from computer science, statistics, econometrics and applied economics to foster interactions and discuss different perspectives on statistical learning and its potential impact on economics.

 

The workshop began with overview talks on machine learning and statistics by researchers from outside of economics. Three following sessions were organized around the themes of causal inference, prediction, and networks and complex data. Each session included the presentation of papers in economics that make use of machine learning methodology, followed by a discussion by researchers from multiple communities.

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Applied Machine Learning Days, March 26-30, 2022

@STCC, EPFL, Lausanne, Switzerland

 

#AMLDEPFL22 – @appliedmldays

 

Copyright: ©Samuel Devantery – www.samueldevantery.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Applied Machine Learning Days, January 28-29, 2019

@STCC, EPFL, Lausanne, Switzerland

 

#AMLD2019 @appliedmldays

 

Copyright: ©Samuel Devantery - www.samueldevantery.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Take your machine learning to the next level with these artificial intelligence technologies.

 

Artificial intelligence (AI) technologies are quickly transforming almost every sphere of our lives. From how we communicate to the means we use for transportation, we seem to be getting increasingly addicted to them.

 

Because of these rapid advancements, massive amounts of talent and resources are dedicated to accelerating the growth of the technologies.

 

Here is a list of 8 best open sources AI technologies you can use to take your machine learning projects to the next level.

 

1. TensorFlow

 

Initially released in 2015, TensorFlow is an open source machine learning framework that is easy to use and deploy across a variety of platforms. It is one of the most well-maintained and extensively used frameworks for machine learning.

 

Created by Google for supporting its research and production objectives, TensorFlow is now widely used by several companies, including Dropbox, eBay, Intel, Twitter, and Uber.

 

TensorFlow is available in Python, C++, Haskell, Java, Go, Rust, and most recently, JavaScript. You can also find third-party packages for other

programming languages.

 

The framework allows you to develop neural networks (and even other computational models) using flowgraphs.

 

2. Keras

 

Initially released in 2015, Keras is an open source software library designed to simplify the creation of deep learning models. It is written in Python

and can be deployed on top of other AI technologies such as TensorFlow, Microsoft Cognitive Toolkit (CNTK), and Theano.

 

Keras is known for its user-friendliness, modularity, and ease of extensibility. It is suitable if you need a machine learning library that allows for easy and fast prototyping, supports both convolutional and recurrent networks, and runs optimally on both CPUs (central processing units) and GPUs (graphics processing units).

 

3. Scikit-learn

 

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Initially released in 2007, sci-kit-learn is an open source library developed for machine learning. This traditional framework is written in Python and features several machine learning models including classification, regression, clustering, and dimensionality reduction.

 

Scikit-learn is designed on three other open source projects—Matplotlib, NumPy, and SciPy—and it focuses on data mining and data analysis.

 

4. Microsoft Cognitive Toolkit

 

Initially released in 2016, the Microsoft Cognitive Toolkit (previously referred to as CNTK), is an AI solution that can empower you to take your

machine learning projects to the next level.

 

Microsoft says that the open source framework is capable of "training deep learning algorithms to function like the human brain."

 

Some of the vital features of the Microsoft Cognitive Toolkit include highly optimized components capable of handling data from Python, C++, or BrainScript, ability to provide efficient resource usage, ease of integration with Microsoft Azure, and interoperation with NumPy.

 

5. Theano

 

Initially released in 2007, Theano is an open source Python library that allows you to easily fashion various machine learning models. Since it's one of the oldest libraries, it is regarded as an industry standard that has inspired developments in deep learning.

 

At its core, it enables you to simplify the process of defining, optimizing, and assessing mathematical expressions.

 

Theano is capable of taking your structures and transforming them into very efficient code that integrates with NumPy, efficient native libraries such as BLAS, and native code (C++).

 

Furthermore, it is optimized for GPUs, provides efficient symbolic differentiation, and comes with extensive code-testing capabilities.

 

6. Caffe

 

Initially released in 2017, Caffe (Convolutional Architecture for Fast Feature Embedding) is a machine learning framework that focuses on

expressiveness, speed, and modularity. The open source framework is written in C++ and comes with a Python interface.

 

Caffe's main features include an expressive architecture that inspires innovation, extensive code that facilitates active development, a fast performance that accelerates industry deployment, and a vibrant community that stimulates growth.

 

7. Torch

 

Initially released in 2002, Torch is a machine learning library that offers a wide array of algorithms for deep learning. The open source framework provides you with optimized flexibility and speed when handling machine learning projects—without causing unnecessary complexities in the process.

 

It is written using the scripting language Lua and comes with an underlying C implementation. Some of Torch's key features include N-dimensional arrays, linear algebra routines, numeric optimization routines, efficient GPU support, and support for iOS and Android platforms.

 

8. Accord.NET

 

Initially released in 2010, Accord. NET is a machine learning framework entirely written in C#.

The open source framework is suitable for production-grade scientific computing. With its extensive range of libraries, you can build

various applications in artificial neural networks, statistical data processing, image processing, and many others.

 

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

the.science-The.Sea.And.I__denial.of.service©2017

This photo was captured at the 2018 edition of Great Indian Developer Summit (#gids18), April 24-28, Bangalore, India.

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

As per recent newsletter, Brian Krzanich chief executive officer of Intel Corporation spoken about cognitive and artificial intelligence technology. Intel is already working and leading on areas like research and investments in hardware, data algorithms and analytics, acquisitions, and...

 

technocityhub.com/2017/10/22/intel-nervana-neural-network...

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com

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