How do I write a research paper in machine learning?

Start by researching more material about linear regression. Write a few small programs and implement a few scenarios. Then move on to logistic regression and do the same. Essentially you want to enhance your knowledge of the course topics and write some code to put that knowledge into practice.

What are the topics in machine learning?

Machine Learning (ML) Supervised Learning. Unsupervised Learning. Neural Network or Artificial Neural Network (ANN) Back-propagation. Deep Neural Network (DNN) or Deep Learning. Linear regression. Logistic regression.

Where can I find Machine Learning papers?

Every year, 1000s of research papers related to Machine Learning are published in popular publications like NeurIPS, ICML, ICLR, ACL, and MLDS. Almost all of the papers provides some level of findings in the Machine Learning field.

What are some examples of machine learning?

Top 10 real-life examples of Machine LearningImage Recognition. Image recognition is one of the most common uses of machine learning. Speech Recognition. Speech recognition is the translation of spoken words into the text. Medical diagnosis. Statistical Arbitrage. Learning associations. Classification. Prediction. Extraction.

What are the 3 types of AI?

There are 3 types of artificial intelligence (AI): narrow or weak AI, general or strong AI, and artificial superintelligence.

What are the major applications of machine learning?

Applications of Machine learningImage Recognition: Image recognition is one of the most common applications of machine learning. Speech Recognition. Traffic prediction: Product recommendations: Self-driving cars: Email Spam and Malware Filtering: Virtual Personal Assistant: Online Fraud Detection:

What is machine learning and its uses?

Machine learning (ML) equips computers to learn and interpret without being explicitly programmed to do so. ML enables computers and computing machines to search for and identify hidden insights, without being programmed for where to look for, when exposed to new data sets.

Which companies are using machine learning?

10 Companies Using Machine Learning in Cool WaysYelp – Image Curation at Scale. Pinterest – Improved Content Discovery. 3. Facebook – Chatbot Army. Twitter – Curated Timelines. Google – Neural Networks and ‘Machines That Dream’ Edgecase – Improving Ecommerce Conversion Rates. Baidu – The Future of Voice Search. HubSpot – Smarter Sales.

What is the main goal of AI?

The goals of artificial intelligence include learning, reasoning, and perception. AI is being used across different industries including finance and healthcare. Weak AI tends to be simple and single-task oriented, while strong AI carries on tasks that are more complex and human-like.

Why is AI dangerous?

If AI surpasses humanity in general intelligence and becomes “superintelligent”, then it could become difficult or impossible for humans to control. A second source of concern is that a sudden and unexpected “intelligence explosion” might take an unprepared human race by surprise.

What are examples of AI?

8 Examples of Artificial IntelligenceGoogle Maps and Ride-Hailing Applications. One doesn’t have to put much thought into traveling to a new destination anymore. Face Detection and Recognition. Text Editors or Autocorrect. Search and Recommendation Algorithms. Chatbots. Digital Assistants. Social Media. E-Payments.

What is AI in technology?

Artificial intelligence or AI is a popular buzzword you’ve probably heard or read about. Artificial intelligence is a technological advancement that involves programming technology to problem solve. Artificial intelligence is often talked about in conjunction with machine learning or deep learning and big data.

What are the 4 types of AI?

How Many Types of Artificial Intelligence are There? There are four types of artificial intelligence: reactive machines, limited memory, theory of mind and self-awareness.

Why is AI so important?

Summary. AI technology is important because it enables human capabilities – understanding, reasoning, planning, communication and perception – to be undertaken by software increasingly effectively, efficiently and at low cost. Use cases are proliferating as AI’s potential is understood.

Where AI is used?

Currently AI is Used is Following Things/Fields: Retail, Shopping and Fashion. Security and Surveillance. Sports Analytics and Activities. Manufacturing and Production.

Is Siri an AI?

Siri is a spin-off from a project originally developed by the SRI International Artificial Intelligence Center. Its speech recognition engine was provided by Nuance Communications, and Siri uses advanced machine learning technologies to function. Siri’s original release on iPhone 4S in 2011 received mixed reviews.

Is Alexa AI?

Amazon Alexa, also known simply as Alexa, is a virtual assistant AI technology developed by Amazon, first used in the Amazon Echo smart speakers developed by Amazon Lab126. Alexa can also control several smart devices using itself as a home automation system.

How is AI helping us today?

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing.

Is AI good or bad?

There is no implicit good or bad to AI it will simply respond with results that are derived completely by its learning. Even in cases where AI has no safety impact it may still create an ethical and moral dilemma by perpetuating unsustainable behaviours and points of view.

Can AI take over humans?

While narrow AI can outperform humans in some tasks, there’s little to suggest that more general AI that can emulate humans’ ability to respond to many different tasks will be delivered and put humans at risk in the near future. Even without a singularity, AI will have a dramatic impact on human society.