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Machine Learning

How is Model Based Learning Used in Machine Learning

by CogitoTech5 days ago

To know How is Model Based Learning Used in Machine Learning find here the right definition by experts at Cogito explaining Model Based Learning Used in Machine Learning and how it is done for various needs. The actual definition is given here with examples and types of machine learning process followed by the industry professionals. Cogito helps to hire the highly skilled and qualified machine learning engineers who can work independently using the latest process and right algorithms and languages to develop best model for different industries like healthcare, automobile, agriculture and other fields.  

        

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How Cogito Annotate Images

Cogito is using the advance level of tools and techniques to annotate images of different types. It has skilled work force to manually annotate the pictures or images on their computer system while ensuing the quality to make sure give the best quality training data sets for machine learning or AI-based other projects needs such data for building a business module.

Learn More: Image Annotation used for Machine Learning

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Cogito offers world-class image annotation service for machine learning and AI

With rise of demand in artificial intelligence and machine learning fields, the need for data sets for training such machines and computer vision is also in demand in the market. Companies involved in image recognition service or data labeling now providing the annotated images to trained such machines and computer vision used in various industries.

Actually, computers visions or machines can read such data to recognize the regular patterns and stored the information in their memory to identify such images or similar data in future without human intervention while giving the accurate results.

Source

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AI and ML trend to watch in 2019

In 2019, companies will want to use data more efficiently, maintaining the 2018 trend. Optimising and managing multicloud environments was a priority for many companies last year, and so was the need to integrate security at a basic level. None of these trends will disappear in 2019, and we will see an interesting mix between “evolution” – expanding and developing already-existing trends – and “revolution” – demands that are always changing and forcing companies to adopt digitalization and new technologies more quickly, according to a report released on Thursday by Cisco.

AI-ML will become routine

AI (Artificial Intelligence) and ML (Machine Learning) have progressed quickly over the past few years. AI-ML innovation has solved old problems, leading to a conviction that these technologies can be a solution for many challenges. Consumer apps with high visibility such as driverless cars or digital robots that “look like humans” have caught the public’s attention, but this enthusiasm

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How to Annotate Video for Machine Learning

To annotate the Video there are my tools useful for deep learning or machine learning projects. Labelbox, Diffgram, LabelMe, RectLabel and SmartTool  are the major tools that can be used for deep learning projects. However, other techniques that can be used for Video annotation is Polygon, and bounding Boxes can be also used to annotate the Video files from deep learning projects.

The automatic running software or tools providing the image annotation services cannot give that level of accuracy compare to manually annotated images for deep learning projects or such needs. So, at this moment, getting image annotation with professionals would be more productive and useful for deep learning or such machine learning training data projects.     

Cogito is the right company providing the image annotation services for deep learning or other such projects. It has expertized of image annotation for various industries like healthcare, automobile and ecommerce etc. with best quality to provide

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Do the benefits of artificial intelligence outweigh the risks?

The discussion around Artificial Intelligence (AI) can sound a lot like Brexit. It’s coming but we don’t know when. It could destroy jobs but it could create more. There are even questions about sovereignty, democracy and taking back control.

 A recent poll from the RSA reveals just how oblivious the public is to the increasing use of AI in society. It found only 32% of people are aware that ARTIFICIAL INTELLIGENCE is being used in a decision making context, dropping to 9% awareness of automated decision making in the criminal justice system. Without public knowledge, there is no public debate and no public debate means no demand for public representatives to ensure ethical conduct and accountability.

Read Original article here

HTTPS://THECONVERSATION-ROOM.COM/2018/08/28/DO-THE-BENEFITS-OF-ARTIFICIAL-INTELLIGENCE-OUTWEIGH-THE-RISKS/

It's time to take a decision to adapt Artifical Intelligence and machine learning to grow your business with ALOHA TECHNOLOGY which can help you to ada

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Introduction to Machine Learning

by mounicasharma9 months ago

Machine learning is, fundamentally a technique of data analytics that explains the computers to perform the tasks based on the previous experience. It refers to the transitions in systems that carry out the tasks related to the artificial intelligence. These tasks incorporate the analysis, recognition, planning, robot control, forecast etc.

 The main objective of the machine learning is to recognize the data structure and apt that particular data into models which can be easily understood and used by the people. However, it is an area within the computer science and contrasting from the outdated computational methods.

These computational techniques involve a series of an algorithm which are the encoded instructions followed by a computer to solve a particular problem, whereas the machine learning algorithms permit the computers to get trained on provided data inputs and utilized statistical analysis to provide the output values within a particular series.

Due to this, the computer c

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