Today, Im going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper. Once you know what they are, how they work, what they do and where you can find them, my hope is youll have this blog post as a springboard to learn even more about data mining. What are we waiting for? Lets get started! Here are … [Read more...] about Top 10 Data Mining Algorithms, Demystified
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.
21 Essential Data Visualization Tools
They say a picture is worth a thousand wordsbut in online world, a chart or infographic will enrich any designers repertoire. If you are focused on having a clear insight into your numbers, then you know what your business needs: Data Visualization. Let me introduce you to the article in which you will find 21 Data Visualization tools that are essential for your … [Read more...] about 21 Essential Data Visualization Tools
Statistics Denial, Statistics Debacles & The Coming Flood Of Statistical Malfeasance
"The three credit rating agencies were key enablers of the financial meltdown. The mortgage-related securities at the heart of the crisis could not have been marketed and sold without their seal of approval" Financial Crisis Inquiry Commission "You're not a Real Man unless you see everything in black and white." Kevin Gray There is a flood of statistical malfeasance heading … [Read more...] about Statistics Denial, Statistics Debacles & The Coming Flood Of Statistical Malfeasance
Big Data Hadoop Alternatives: What They Offer and Who Uses Them
Many people, particularly those new to the concept of Big Data, think of Big Data and Hadoop as almost one and the same. But there are frameworks other than Hadoop that are gaining popularity. The costs of implementing Hadoop can be quite substantial, and so organizations are exploring other options. Alternatives to Hadoop for big and unstructured data are emerging. The two … [Read more...] about Big Data Hadoop Alternatives: What They Offer and Who Uses Them
An Overview of Data Analysis Tools to Start the Journey of Exploration
The Digital Revolution spawned by the PC and digital communications is driving a new ecosystem of businesses forward. They are capitalizing on this rich new resource we call "data" to provide services via analysis and reporting. The deluge of information is disrupting all business verticals. The Main Categories Data Visualization for Corporate Enterprise Data Cleansing, … [Read more...] about An Overview of Data Analysis Tools to Start the Journey of Exploration
+
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.
+
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.
+
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.
+
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.
+
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.
+
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.
