"The key element for a successful (big) data analytics and data science future is statistical rigor and statistical thinking of humans" Diego Kuonen #5: For a large number of observations (Big Data: Volume), all the variables are significant so statistics does not work #6: Statistics does not accommodate 'consequential' statistical significance Myth #5 builds upon the old … [Read more...] about Why Statistical Significance Does Work For Big Data
Technical
Learn all about technical data and programming and why it's crucial for businesses. Get knowledge on how to collect and use this information to improve your products and services.
Why Prediction Is / Is Not Part of Statistics
"The only useful function for a statistician is to make predictions, and thus provide a basis for action." W. Edwards Deming Myth #4: Prediction is Not Part of Statistics This blog discusses the ambition of rebranding predictive modeling as predictive analytics; and why this will enlarge the coming flood of statistical malfeasance. The prediction problem involves … [Read more...] about Why Prediction Is / Is Not Part of Statistics
How to Expand Your SQL Development Career
Clearly even if you can find tools to find and fix query performance issues, expanding your SQL development and career is also important. SQL developers spend countless hours ensuring their employers are able to gain a quick access to data required in solving complex problems at the same time uncovering novel profit opportunities. Expanding your skills and career in SQL … [Read more...] about How to Expand Your SQL Development Career
3 Ways to Stay on the Lookout for SQL Injection Attacks
Drupal, one of the top content management systems around, warned its users that if their sites had not been updated with an October 15, 2014 released security patch they should consider them compromised. The public announcement from last year to all Drupal users was warning of an SQL injection attack that had been discovered a couple of weeks prior, which had compromised 12 … [Read more...] about 3 Ways to Stay on the Lookout for SQL Injection Attacks
Statistics Denial, Myth #1: Traditional Techniques Straw Man
"You cannot reason people out of a position that they did not reason themselves into." Ben Goldacre, Bad Science "It's all in the algorithm" Dr. Rodney Mckay, Stargate Universe Myth #1: Statistics consists of only certain 'traditional' techniques or those from STAT 201 The current buzz about big data and data science is generating interest and a sense of urgency. However, … [Read more...] about Statistics Denial, Myth #1: Traditional Techniques Straw Man
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What is technical data?
Technical data can be something as simple as a list of ingredients for a recipe or a more complex set of instructions for assembling a piece of furniture. Technical data can also be mathematical formulas or set points for calibration. No matter what form it takes, technical data is always designed to provide information that will help people to understand and use a particular product or service.
In some cases, technical data may be subject to special regulations, such as those governing the handling of confidential personal information. However, in general, technical data is considered to be publicly available information. Want to learn more about technical data? Datafloq has courses available. Contact us to get started.
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What is the purpose of technical data?
Technical data is often used to create engineering drawings or specifications, which are then used to manufacture the product. Technical data can also be used to troubleshoot problems with a product or system.
For example, if a component is not working properly, technicians may refer to the technical data to determine the root cause of the problem. Technical data is an essential part of the product development process and can be very useful for businesses and consumers.
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What are examples of technical data?
Technical data refers to the specifications of a product or system, including its performance, dimensions, weight, etc. It is often used in the context of engineering or manufacturing. For example, engineers will consider the vehicle’s weight, aerodynamics, and engine size when designing a new car.
Technical data can also be used to compare different products or systems. For example, if you are trying to decide between two different types of printers, you might look at their printing speed, paper capacity, and resolution.
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What is technical data analysis?
Technical data analysis aims to help make better decisions by understanding the data better. Technical data analysis can be used for different purposes, such as predicting future events, identifying trends, or spotting outliers. Many different statistical methods can be used for technical data analysis, and the choice of method will depend on the type of data and the question you are trying to answer.
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What is a high-tech startup?
A high-tech startup is a company that uses technology to create new products or services. These startups are usually founded by entrepreneurs with innovative ideas for a new business. Many high-tech startups are based around developing new software or hardware, but some may also focus on creating new medical devices or developing new clean energy technologies.
Whatever their focus, all high-tech startups share a common goal: to bring their innovative ideas to market and create value for their customers.
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What is a high-tech business?
A high-tech business is an organization that develops or uses advanced technological processes and products in its operations. Many high-tech businesses are involved in research, development, engineering, and manufacturing. They often work with cutting-edge technologies, such as artificial intelligence, biotechnology, and nanotechnology.
These businesses typically require a highly skilled workforce and substantial investment in research and development. Due to the risky nature of developing new technologies, many high-tech businesses are venture-backed startups. However, some large companies, such as Google and Apple, are also considered high-tech businesses.
