6th World Machine Learning and Deep Learning Congress

Data Science Data science includes data analysis. It is an important component of the skill set required for many jobs in this area. Data Science manages both structured and unstructured data. It is a field that incorporates everything that is related to the purging, readiness and last investigation of data. Data science consolidates the programming, coherent thinking, arithmetic and statistics. It catches information in the keenest ways and supports the capacity of taking a gander at things with an alternate point of view. But it's not the only necessary skill. They play active roles in the design and implementation work of four related areas:         Data architecture         In data acquisition         Data analysis         In data archiving Artificial Intelligence Artificial Intelligence is a technique which enables computers to mimic human behavior. In other words, it is the area...

Supervised Machine Learning, Unsupervised Machine Learning & Semi-Supervised Machine Learning Machine Learning is a subset of Artificial Intelligence (AI) that provides computers with the ability to learn without being explicitly programmed and to take intelligent decisions. It also enables machines to grow and improve with experiences. There are 3 types of learning that are associated with Machine Learning & these are: supervised, unsupervised and semi-supervised learning. Supervised : It works with the labeled data and the algorithms in it learn to predict the output from the input data itself. Unsupervised : It works with the unlabeled data and the algorithms learn to inherent structure from the input data. Semi-supervised : It has a mixed case; some data are labeled but most of it is unlabeled and a mixture of supervised and unsupervised techniques can be used collectively. Supervised Machine Learning Supervised learning is used by majority ...

Artificial Intelligence , ML & DL is transforming the world of Healthcare & medicine. They are helping doctors to make faster, more accurate diagnoses. They can also predict the risk of a disease in time to prevent it. They can help researchers understand how genetic variations lead to new disease. Medical records such as doctors' reports, test results and medical images etc. are a data treasure of health information. There are number of fields in Healthcare industries where Artificial Intelligence, Machine Learning & Deep Leaning is being used.        Alzheimer’s        Arrhythmia        Autism        Breast Cancer        Dental Cavities        Diabetic Retinopathy        Gram Stains        Lung Cancer        Onychomycosis      Pneumonia    ...

A ccording to the research, there are approx. 4,249 breaches every year worldwide, exposing more than 4.2 billion personal records. 95% of breached records came from three industries - Government, Retail, Technology. A computer is hacked every 39 seconds, 56% of data breaches can be linked to phishing, cybercrime is now the 2 nd most reported economic crime. Global Artificial Intelligence in Cyber Security Market is expected to reach $18.2 billion by 2023.  It has become clear that organizations can’t just depend on manpower and human interaction to fend off cyber-attacks. Not exclusively is it tedious for employees to spot potential dangers, however it is also challenging to come up with security technologies to anticipate them. In this way, there are fears that organizations will continue to fall victim to hackers. Here, Artificial Intelligence, Machine Learning & Deep Learning comes into play. This is a game changer for the future of cybersecurity. Modern ...