13 Responses to Best Programming Language for Machine Learning
Ben Hamner, Kaggle Admin and author of the blog post above on the Kaggle blog goes into more detail on the options when it comes to programming languages for machine learning in a forum post titled "What tools do people generally use to solve problems".
Top 15 Frameworks for Machine Learning Experts
Either you are a researcher, start-up or big organization who wants to use machine learning, you will need the right tools to make it happen. Here is a list of the most popular frameworks for machine learning.
11 open source tools to make the most of machine learning | InfoWorld
What are most widely used software/tools for machine learning/big…
What are some tools for Machine Learning and Data Mining big data? What are some interesting subjects of study in machine learning and big data? Which is the most widely used tool for data analysis?
Python Tools for Machine Learning | CB Insights – Blog
This post aims to list and describe the most useful machine learning tools and libraries that are available for Python. Moreover, although some of modules could be used for various machine learning tasks, we included libraries whose main focus is machine learning.
Machine Learning Tools | NVIDIA
Learn how other data scientists are advancing their work in the field of machine learning, and get information about tools, software frameworks, and computing configurations that will help Companies using GPUs for Machine Learning. Recommended System Configurations. Development Workstation.
A survey of open source tools for machine learning… | SpringerLink
The available tools have advantages and drawbacks, and many have overlapping uses. The world's data is growing rapidly, and traditional tools for machine learning are becoming insufficient as we move towards distributed and real-time processing.
GitHub – szilard/benchm-ml: A minimal benchmark for scalability, speed…
(Update: It turns out these are the most popular tools used for machine learning indeed. If your software tool of choice is not here, you can do a minimal benchmark with little work with the following instructions.)
What Machine Learning Can and Can't Do – The New Stack
To create the machine learning tool, Blum draws on a data tech stack as well as their own created tools: "We use a number of existing solutions such as R, MatLab, Hadoop and Hive…
matlab – What tools do Machine Learning experts use in the real world?
So if you want to try machine learning for studying purposes, WEKA, R and Python will do the job. but if your really want to develop some data analytics products based on these algorithms, Python and R are the way to go.
Fast, large scale and easy to use Machine Learning services
Developer Tools. Our services are fast, scalable and easy to use. Major Google applications use Cloud Machine Learning, including Photos (image search), the Google app (voice search), Translate, and Inbox (Smart Reply).
12 Best Machine Learning Tools | DevZum
So, without wasting too much time check out all the best machine learning tools and increase your productivity. Created by Dr. Basilio Noris, MLDemos is an open-source visualization tool that people can use for machine learning algorithms.
data science – Real world examples of Machine Learning?
Q-2) What tools or framework are used in Industry/Production for Machine Learning projects? There are wide variety of tools or framework that are used in Industry level like: R. Python(Sci-kit learn). GraphLab.
Intel's Optimized Tools and Frameworks for Machine Learning…
Intel® software tools for machine learning and deep learning. Intel is actively working with the open source community to ensure that existing and new frameworks are optimized to take advantage of Intel architecture and is optimizing these ML and DL tools by using powerful libraries that provide building…
Machine Learning Tools – An Overview – Knowm.org
A Plethora of Tools for Machine Learning. Academics and industry professionals use these tools for building a number of applications from Speech Recognition to Cancer Detection in MRI scans.
Languages and Libraries for Machine Learning | Udacity
As long as you're familiar with the Machine Learning libraries and tools available in your chosen language, the language itself isn't as important. It is often used for prototyping new Machine Learning algorithms, and in certain cases, for producing complete solutions.
Machine Learning: What it is and why it matters | SAS
A popular use for machine learning today is pattern recognition because it can recognize many types of images. To get the most value from machine learning, you have to know how to pair the best algorithms with the right tools and processes.
Machine learning APIs and frameworks: 15 machine learning tools…
More and more businesses are looking at how they can use machine learning in their operations.
PDF Weka: Practical Machine Learning Tools and Techniques
This is a standard algorithm that is widely used for practical machine learning.  Witten, I. H., and Frank E. (1999) Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, San Francisco.
Use of this tool is open to all members of reddit.com, and for as little as $5.00 you can advertise in this area. How to read machine learning research in medicine. (lukeoakdenrayner.wordpress.com). submitted 3 hours ago by drlukeor.
Twitch's new AutoMod tool uses "machine learning" to create less…
Twitch has just launched a new tool called AutoMod that makes use of "machine learning and natural language processing" to help streamers keep inappropriate chat out of their channels. Rather than simply blocking instances of the seven things you can't say on television…
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Domain Registration in over 800 different extensions. Enterprise Domain Management since 1999. Mark ProtectTM Online Brand Monitoring and Enforcement. Domain Consultancy and Strategy. Domain Name Acquisition. Domain Disputes and Recovery. Web Hosting and Data Center Solutions.
Accord.NET Machine Learning Framework
Accord.NET is a .NET machine learning framework combined with audio and image processing libraries completely written in C# ready to be used in commercial applications.
Machine learning – Wikipedia
Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed (Arthur Samuel, 1959). Evolved from the study of pattern recognition and computational learning theory in artificial intelligence…
This page was hosted on our old technology platform. We've moved to our new platform at www.coursera.org. Explore our catalog to see if this course is available on our new platform, or learn more about the platform transition here.
scikit-learn: machine learning in Python — scikit-learn…
‹ › scikit-learn. Machine Learning in Python. Simple and efficient tools for data mining and data analysis. Accessible to everybody, and reusable in various contexts. Application: Transforming input data such as text for use with machine learning algorithms.
11 Cool Ways to Use Machine Learning – InformationWeek
For years, machine learning has been used for image, video, and text recognition, as well as serving as the power behind recommendation engines. "We use it as part of our tools [because] it enables a higher degree of fraud and money-laundering detection."
Kagglers' Favorite Tools | No Free Hunch
What are your favorite tools and how do you use them? What is difficult or missing in them, that would make generating predictive models easier? Pingback: Languages and Libraries for Machine Learning | Udacity().
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Friedman et al., Machine Learning 1997.
This Hack Tool Uses SS7 Flaw to Trace Call…