Machine Learning and Data

Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling or clustering raw input. The patterns they recognize are numerical, contained in vectors, into which all real-world data, be it images, sound, text or time series, must be translated.

For additional study on neural networks and also if you have a deep learning project and intend to do it, refer to the Bigpro1 website.

Recent studies showed that data preparation comprised a whopping 80% of the entire data analysis process.

Couple this with the growing need for effective customer analysis in the current competitive online market and you’re well on your way to understanding the importance of good data preparation. Let’s go through three specific ways that data preparation can benefit your business:

Eliminating Dirty Data
Future-Proofing Your Results
Improving Cross-team Collaboration

Click here to read more about data preprocessing and preparation.

Deep learning can be considered as a subset of Machine Learning. Deep learning is a discipline that is based on learning and improving spontaneously by examining computer algorithms. While machine learning uses simpler concepts, deep learning actually works with artificial neural networks; Networks designed to mimic human thinking and learning. Until recently, these neural networks were just as limited because of their computational power at the time, and therefore necessarily limited in complexity. However, advances in Big Data analysis have allowed larger, more complex neural networks to allow computers to observe, learn, and respond to complex situations faster than humans. Deep learning has helped a lot in image classification, language translation, speech recognition and many other issues. Deep learning can identify patterns to solve any problem and solve those problems without human intervention.

https://bigpro1.com/en/deep-learning/

Artificial intelligence now helps us to more accurately and effectively diagnose diseases and develop drugs or personalize treatment methods for each patient.

One of the sub-algorithms of machine learning and artificial intelligence that has made this easier for doctors and has come to their aid is automatic machine learning. This algorithm is widely used in the pharmaceutical industry. Visit the Bigpro1 website to read a comprehensive article on the application of automated machine learning in pharmacy

State
Stata is a statistical software designed for data scientists and used for data manipulation, exploration, visualization and statistical analysis. With both a graphical user interface and a command line structure, Stata is accessible to users with or without programming knowledge. Statata is used by researchers in many fields including behavioral sciences, education, medical research, economics, political science, public policy, sociology, finance, business and marketing. It also has some options to create the desired and customized mode of the graphical environment, and users can adjust the size of text, markers, margins and other elements in their graphics.

Stata is available in four different packages, which can analyze a number of different variables and require more or less memory to run:
Stata / MP: The fastest and largest version of Stata
Stata / SE: Statata for large data sets
Stata / IC: Statata for medium data sets
Numerics by Stata: Stata for embedded and web applications
Some of the main features of Stata statistical software
Existence of statistical functions
Predictive analysis
Automatic reporting feature
Advanced programming with the ability to generate duplicates
Graphic publishing quality capability
Easy data entry and output
Technical support and resources

Click here if you want to know more about statistical analysis and its software or you want to do statistical analysis of your dissertation.

:Deep Learning Applications in the Real World

Virtual assistant
Alexa, Siri or Cortana are smart virtual assistants who use in-depth learning to understand human speech and language when interacting with them.

Translation
Similarly, deep learning algorithms can perform translation operations automatically between different languages. This feature can be useful for travelers, businessmen and those in government.

Vision for trucks or driverless cars, as well as drones
In this section, cars can detect the route of the road or stop when they see stop signs. They also notice the presence of other objects such as cars or balls on the street.

When machines receive more data this way, they can act and drive more like humans. They can also process information that can be supposed to detect snow-covered stop signs.

Chat bots
Chat and support bots in many factories are responsible for communicating and handling customer requests. These tools can answer textual and auditory questions using deep learning.

Coloring pictures
In the past, turning black-and-white images into color was one of the tasks performed by humans. But today, deep learning algorithms are able to detect the type of possible colors using the text and objects inside the image and remove them from the black-and-white state.

You can get help from Bigpro1 website to study other applications of deep learning and :do deep learning project online

https://bigpro1.com/fa/deep-learning/

?What Is a Clinical Data Registry

A clinical registry is a computer database that collects information about your health and the care you receive as a patient. The data in the registry comes from the information your healthcare provider collects while providing your care and is added to information on other patients who are similar to you. It is then used to help improve the quality of your care as well as the care of other patients, now and in the future. This article provides answers to the most common questions patients have about clinical registries

?What does a registry do
Registries collect information on large numbers of similar patients. This information may include things like: a patient’s reasons for seeking care, treatments they received, and how well they did over time

Because a registry can collect this kind of information about many patients, your doctor can help you choose treatments that have tended to work well for patients like you. If you have an implant, for example, information from registries may also be used to identify poorly performing implants and can alert your hospital about recalls to those components

?How does a registry work
There are many types of registries. Some track patients who have a particular disease or condition. Others track the performance of medical devices such as artificial joints. Medical experts use information from the registry to understand how well different approaches to treating a condition workOne of the websites that has the ability to create a registry is the Bigpro1 website, which helps physicians to create and publish their registry online, without worries and at a lower غیر مجاز می باشدt, without having to worry about the security of their information

Minitab
Minitab is a statistics package that delivers statistical analysis, data visualizations and data analytics to help users improve data-driven decision making. It can analyze all kinds of datasets, from small to large, and automates statistical calculations and the creation of graphs, allowing users to focus more on data analysis. Minitab allows users to customize menus and toolbars, preferences, profiles and powerful scripting macro capabilities

Minitab is currently available for installation on Windows or Mac operating systems only, with no SaaS or mobile options

Another statistical analysis tool is Bigpro1 tool, which helps students perform their dissertation statistical analysis easily and hassle-free in the shortest possible time

:One of the applications of machine learning is speech recognition

Speech recognition
Machine learning can translate speech into text. Certain software applications can convert live voice and recorded speech into a text file. The speech can be segmented by intensities on time-frequency bands as well

:Real-world examples of speech recognition

Voice search
Voice dialling
Appliance control
Some of the most common uses of speech recognition software are devices like Google Home or Amazon Alexa

If you are interested in machine learning and you want to know more examples about this,

click on the link below 

https://bigpro1.com/en/7-applications-of-machine-learning/

A questionnaire is a research instrument consisting of a series of questions for the purpose of gathering information from respondents. Questionnaires can be thought of as a kind of written interview. They can be carried out face to face, by telephone, computer or post

Questionnaires provide a relatively cheap, quick and efficient way of obtaining large amounts of information from a large sample of people

Data can be collected relatively quickly because the researcher would not need to be present when the questionnaires were completed. This is useful for large populations when interviews would be impractical

However, a problem with questionnaires is that respondents may lie due to social desirability. Most people want to present a positive image of themselves and so may lie or bend the truth to look good, e.g., pupils would exaggerate revision duration

Questionnaires can be an effective means of measuring the behavior, attitudes, preferences, opinions and, intentions of relatively large numbers of subjects more cheaply and quickly than other methods

Often a questionnaire uses both open and closed questions to collect data. This is beneficial as it means both quantitative and qualitative data can be obtained

Questionnaire is one of the ways to get the necessary information about a specific topic, you can create and publish your questionnaire through Bigpro1 precision tools