Guide To Explore Machine Learning

machine learning guide

Dependency over technology has increased over the years alarmingly. To manage and compete for a living, Machine Learning (ML) is somewhat crucial, along with Artificial Intelligence (AI). The importance of it is not limited to only the Tech World, but in every sector widely.

Below listed are some Machine Learning Service that helps one to learn and explore within the comfort of the house. 

Latest News and Recent Development

Learning is successful when one is well versed with ongoing developments on the subject.

To know the current news about the developments on Machine Learning Service, below listed are some of the websites that one must follow.

FROG

Through AI and ML it helps organizations to bloom, enhancing more on customer satisfaction with their creative and analytical work.

They have their studios over the important cities of the world, like in, London, Boston, Mexico City, Delhi, and Shanghai. Design Mind, a blog created by the frog, publishes the insights and ongoing trends on ML by eminent personalities.

MIT Technology Review

Access the recent ongoing development in all the fields which are directly or indirectly related to technology. Topics like Election 2020, Blockchain, Computing, Silicon Valley, and many more are covered.

Also, you can subscribe to The Download, a newsletter offered which can give you updates on what is trending daily. 

Motherboard-Tech By Vice

Solely for the USA, but everyone can access it from different parts of the world.

For ML, this website brings ongoing developments on the Internet, Hacking, and other technical aspects. 

Tools For Machine Learning

There are thousands of Machine Learning Service tools available in the global market. The feasibility depends on the recent modification by the Machine Learning Service provider.

Below listed are some of the machine intelligence tools that are used for various purposes according to the development required.

Geometric Intelligence

A tool modified in Germany, but can be accessible to anyone, residing in any part of the world. It includes mainly living style, technology, and the environment.

SparkCognition

The most popular tool for Machine Learning and it offers products based on Artificial Intelligence.

The solutions for data extraction and security are based on AI, collaborating, and ensuring safety in sectors, like Aviation, Defense, Maritime, CyberSecurity, Finance, and Manufacturing.

H2O.ai

One of the leading AI and ML based tool that offers businesses to democratize on AI, like healthcare, insurance, marketing, and many more sectors. Data scientists, with eminent records, are over the platform.

They believe and claim to be Responsible AI through the categories like Compliance, Human-Centred AI, Secure AI, Ethical AI, Explainable AI, Learning Technology, and Interpretable Machine.

Other tools based on machine learning for various sectors

Apart from core Machine Learning service tools, other such tools solely benefit to the specific sector, based on AI and ML.

Agriculture

An important and crucial industry that is necessary for survival. The application of AI and ML on it can benefit the farmers in production and sale.

1. Trace Genomics

The sole purpose of this tool is to analyze the biology of the soil through insights, digitizing the internal structure, microbes present, and chemistry of it, decoding the data of the soil with affordable AI and ML application and then deciding the best

2. Pivot Bio

It is too based on the application of ML and AI. It offers to replace the nitrogenous chemically synthesized fertilizers with sustainable and environmentally friendly options. 

Healthcare

One of the necessary sectors that ensure the well being of mankind. This sector with the inventions and discoveries of drugs and upgrading the monitoring of patients (all based on AI and ML) have progressed.

Oncora Medical

An initiative to fight the deadly disease that the world is fighting for a long time, Cancer.

It eases the process of collecting, storing, and processing of data, and brings patients, health institutions, and analysts together.

Deep 6 AI

This eases out the process of finding suitable patients for particular research in minutes through AI and ML. In this process, it cuts the cost of clinical trials and the price of the drug.  

The Machine Learning service tools mentioned above can be of great help. A bit of exploration is required to choose the best.

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