The Simplest Explanation Of Machine Learning You’ll Ever Read

Data Science:

Data science is not a new term in today's tech world. In recent years it has dominated the corporate world. The demand for skilled data science professionals has increased as organisations are constantly looking for data science professionals to solve business complexities with efficient data analysis.

While the COVID-19 virus is dominating headlines around the world, it's important to note that in the world of machine learning, many businesses are operating normally. Of course, most people are now doing something to combat the spread of the coronavirus. However, many researchers are working hard to keep up with the progress and innovation in the world of AI.

This list includes some of the recent work and breakthroughs in machine learning, as well as guides and resources for beginning and intermediate data scientists who have the professional certification with the Data Science Training in Chennai.

Machine Learning:

Machine learning is a branch of artificial intelligence (AI) and computing that focuses on using data and algorithms to mimic the way human learning, gradually improving its accuracy. Use statistical techniques to train algorithms to classify, predict, and discover key insights for data mining projects. This information guides decisions within applications and companies, ideally influencing key growth indicators. As Big Data continues to expand and grow, so will the market demand for data scientists, requiring them to help identify the most relevant business questions and data to answer later.

Google Launches Cloud AI Platforms Pipelines:

This article describes a beta version of the Google Cloud AI Platform that supports machine learning development. The company described its platform as a simple and easy-to-install environment for machine learning workflows.

AI Implant Gives Amputees Control Over Prosthetic Hands :

This article from MIT Technology Review reviews surprising research designed to give amputees greater control over the movement of their prosthesis. Professor Paul Sedelna, who co-led the study, claims that after the first calibration, “there was no gap between thought and movement.”

 AI is Changing the Video Game Industry — An Era of Augmentation and Synthetic Media:

As the title suggests, this article explains the state of artificial intelligence and the gaming industry. It details areas of artificial intelligence that have great potential to improve video games, such as augmented reality and generative artificial intelligence models.

AI Breakthrough Could Significantly Improve Oculus Quest:

Oculus, one of the leaders in the virtual reality consumer market, has grown significantly since it was acquired by Facebook in 2014. A large part of this growth is thanks to the Oculus Quest, one of the first wireless standalone VR gaming systems. This article explains how an AI breakthrough could improve Quest's graphics capabilities by up to 67% without hardware changes.

ML Guides and Feature Articles:

Intro to Fast AI:

In this guide, data science student Dario Radcic provides an overview of Fast AI, the popular machine learning library. This guide will teach you how to process the MNIST dataset using fast artificial intelligence.

What is the Difference Between CNN and RNN:

This basic machine learning guide provides a brief introduction to convolutional and recurrent neural networks. Learn how they are used in computer vision and NLP, and the fundamental differences between the two types of artificial neural networks.

The Future of Data Analytics:

How will companies foster data? Can data be used to reform the education system? In this article, we briefly discuss the future of data analytics, from the moral ethics of prescriptive analytics to education and virtual assistants. All these can be included in the cloud platform. With the cloud automation, the professionals can get the DevOps Training in Chennai for the analytics purpose.

Social Media Data Mining Techniques:

Data mining and data collection are very broad research areas that are used by many companies today. This article provides a brief introduction to social media data mining and how you can use it to grow your online business.

Resources for Machine Learning

Google Dataset Search:

A dedicated search engine for this dataset was on Google's development calendar for a while, but was finally removed from beta earlier this year. As reported by Towards Data Science, Google Dataset Search provides access to over 25 million open datasets.

Coronavirus Datasets from Every Country:

With COVID-19 on almost everyone's mind, this dataset aggregator is updated weekly, with new datasets added as they become available. Many of the datasets on this list are updated daily.

Conclusion:

Data science education is well developed in the formative stages of development. It develops and nurtures experts in computer science, information and statistics as an independent discipline with unique and complementary skills. But regardless of the potential for disciplinary action, the evidence points to a strong growth in data science education that leaves an indelible mark on future students. As you can see, there is still a lot of work being done every day in the field of machine learning. We hope you learned something new from one of these AI news articles or learned something new from one of our guides.