US- and Bangalore-based Julia Computing, a provider of open source language for data science and machine learning, has received $4.6 million (Rs 30 crore) in seed funding from US-based investment firms General Catalyst and Founder Collective.
Source: VCC
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Machine learning (ML) and artificial intelligence (AI) are extraordinarily hard to pull off in the real world, so of course the solution must be open source. From Google's TensorFlow to Microsoft's Cognitive Toolkit, the world is awash in open source ML/AI code... none of which seems to be solving the gaping void between AI hype and production deployment reality. By Gartner's estimates a mere 15 per cent of organisations actually get into production with ML/AI.
Source: The Register10614
Telstra has used open source machine learning technology to answer the age-old question that plagues every marketer: how effective is my ad spend?
Source: It News14100
Feature Labs, a startup with roots in research begun at MIT, officially launched today with a set of tools to help data scientists build machine learning algorithms more quickly.
Source: TC9792
We update the top AI and Machine Learning projects in Python. Tensorflow has moved to the first place with triple-digit growth in contributors. Scikit-learn dropped to 2nd place, but still has a very large base of contributors.
Source: Kdnugget35910
For the past month, we ranked nearly 250 Machine Learning Open Source Projects to pick the Top 10.
Source: medium.mybridge.co15483
Apache Spark is an open-source cluster-computing framework. Originally developed at the University of California, Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance.
Source: HOB14682
Apache Spark is an open-source cluster-computing framework. Originally developed at the University of California, Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance.
Source: HOB8406
A collection of Big Data trends to familiarize yourself with, covering IoT Networks, Artificial Intelligence, Predictive Analytics, Dark Data and more.
Source: HOB14115
Machine learning (ML) continues to amaze us with its abilities and is set to transform the economic structure of many industries -- from producers of widgets to financial analysts and health care providers.
Source: HOB14952
Open-source software has become as much of a fixture of the modern IT landscape as laptop computers.
Source: HOB9120
What if you want to implement an automated machine learning pipeline of your very own, or automate particular aspects of a machine learning pipeline? Rest assured that there is no need to reinvent any wheels.
Source: HOB17691
Google DeepMind made their machine learning platform, DeepMind Lab, publicly available. Despite warnings from experts like Professor Stephen Hawking, Google's decision to expose its software to other developers is part of a movement to further develop the capabilities of machine learning.
Source: HOB38766
Data visualization is helping companies worldwide to identify patterns, predict outcomes, and improve business returns. Visualization is an important aspect of data analysis. Simply put, data visualization conveys outcomes of tabular or spatial data in a visual format. Images have the power to capture attention and convey ideas clearly. This aids decision making and drives action for improvements.
Source: HOB17679
A survey of Rust users finds difficulty and frustration with the programming language's highly touted features for memory safety and correctness
Source: HOB20076
Gone are the days when banks used to store customer information (such as names, photographs, and specimen signatures) in individual postcard-like data sheets.
Source: HOB7695
According to Q&A hub Stack Overflow, Python is currently the fastest-growing programming language-and is on track to pull away from the rest of the pack in 2019.
Source: HOB17997
The report includes production data, consumption data and revenue data across worldwide. The Market share and growth rate is also mentioned.
Source: Market Research Explore3267
This iteration of the Programming Language Rankings is brought to you by IBM. From Java to Node.js, IBM remains at the forefront of open source innovation. Try our code patterns to help build the future of open source.
Source: HOB23262
As we have seen in earlier lessons, Python is very easy to code. Compared to other popular languages like Java and C++, it is easier to code in Python.
Source: HOB36597
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