- A Critical Comparison of Machine Learning Platforms in an Evolving Market - Feb 11, 2021.
There’s a clear inclination towards the MLaaS model across industries, given the fact that companies today have an option to select from a wide range of solutions that can cater to diverse business needs. Here is a look at 3 of the top ML platforms for data excellence.
Google Cloud, IBM Watson, Machine Learning, Microsoft Azure, Platform
- Comparison of the Top Speech Processing APIs - Dec 28, 2018.
There are two main tasks in speech processing. First one is to transform speech to text. The second is to convert the text into human speech. We will describe the general aspects of each API and then compare their main features in the table.
Amazon, API, Google Cloud, IBM Watson, Microsoft Azure, NLP, Speech Recognition
- Where AI is already rivaling humans - Feb 20, 2018.
Since 2011, AI hit hypergrowth, and researchers have created several AI solutions that are almost as good as – or better than – humans in several domains, including games, healthcare, computer vision and object recognition, speech to text conversion, speaker recognition, and improved robots and chat-bots for solving specific problems.
AI, AlphaGo, Humans vs Machines, IBM Watson, Self-Driving Car
- How Convolutional Neural Networks Accomplish Image Recognition? - Aug 9, 2017.
Image recognition is very interesting and challenging field of study. Here we explain concepts, applications and techniques of image recognition using Convolutional Neural Networks.
Clarifai, Convolutional Neural Networks, IBM Watson, Image Recognition, Neural Networks
- AI Supercomputers: Microsoft Oxford, IBM Watson, Google DeepMind, Baidu Minwa - Feb 1, 2016.
In the world of AI, this is the equivalent of the US and USSR competing to put their guy on the moon first. Here is a profile of some of the giants locked into the AI space race.
AI, Baidu, Chris Pearson, DeepMind, Google, IBM Watson, Microsoft, Minwa
- 50 Useful Machine Learning & Prediction APIs - Dec 7, 2015.
We present a list of 50 APIs selected from areas like machine learning, prediction, text analytics & classification, face recognition, language translation etc. Start consuming APIs!
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API, Data Science, Face Recognition, IBM Watson, Image Recognition, Machine Learning, NLP, Sentiment Analysis
- 5 Best Machine Learning APIs for Data Science - Nov 5, 2015.
Machine Learning APIs make it easy for developers to develop predictive applications. Here we review 5 important Machine Learning APIs: IBM Watson, Microsoft Azure Machine Learning, Google Prediction API, Amazon Machine Learning API, and BigML.
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Amazon, API, Azure ML, BigML, DeZyre, Google, IBM Watson, Machine Learning
- Cognitive Computing: Solving the Big Data Problem? - Jun 12, 2015.
With a shortage of data scientists, what are the alternatives for making sense of Big Data? We examine Cognitive Computing, its strengths, and how it can fit into the current Big Data landscape.
Cognitive Computing, DeepMind, Google, IBM Watson, Qualcomm, Rick Delgado
- MetaMind Competes with IBM Watson Analytics and Microsoft Azure Machine Learning - Jan 14, 2015.
While Microsoft and IBM rush to bring data science and visualization to the masses, MetaMind follows another path, offering deep learning as a service.
Azure ML, Deep Learning, IBM Watson, MetaMind, Richard Socher, Zachary Lipton
- IBM Watson Analytics vs. Microsoft Azure Machine Learning (Part 1) - Dec 16, 2014.
IBM Watson Analytics prototype seeks to abstract away data science, taking ordinary natural language queries and answering them based on the content of uploaded datasets. Microsoft Azure Machine Learning goes the opposite route, streamlining existing data mining methodology for fast results and integration with MS's other cloud services.
Azure ML, Cloud Analytics, Data Mining Software, IBM Watson, Zachary Lipton
