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This photo was captured at the 2018 edition of Great Indian Developer Summit (#gids18), April 24-28, Bangalore, India.
A Machine Learning Model that could help hospitals to identify patients with a high probability of re-admissions, predict the percent of patient returns & emergency room admissions... AIBridge ML Patient Re-admission Solution
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
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
Check out this video for more information about "What is Natural language processing" and their benefits
Youtube Link: youtu.be/WOF0cVESwwI
Visit: aibridgeml.com/ for NLP solutions
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
"...Makes sense that we find ourselves at the next phase in human evolution where restricted man merges with the infinite possibilities of hyper-evolving technologies." @CCIOS_
#Futurism #IoT #BigData #MachineLearning #ML #fintech #AI #tech #DataScience #DeepLearning #robotics
Generated by MidJourney for Aaron Ximm, v3 engine, late July 2022; prompt: "Mata ::Kali Durga, ::fluffy, stuffed animal, studio lighting, avatar, classical pose"
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
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 "
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
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.
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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
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
Building machine learning models that can generalise well on future data necessitates careful analysis of the data at hand as well as assumptions regarding the different available training algorithms. The ultimate evaluation of the consistency of a machine learning model necessitates the required selection and analysis of measurement parameters. Machine learning is made up of algorithms that can simplify the development of analytical models. Machine learning models allow computers to find secret lessons from Big Data without being directly programmed where to search by using algorithms that iteratively learn from data. This has resulted in a plethora of Machine learning-based applications. IVA is the top service provider in Technopark, Trivandrum for model creation in machine learning. IVA has professionals in various fields, and it also offers algorithm creation services.