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Different Types Of Data Analytics

Different Types Of Data Analytics

If you don’t know, every second, a huge amount of data is being collected.

Whether you are shopping online, socializing on social media platforms or simply browsing the Internet, data is constantly getting collected.

So, what to do with such a huge amount of data?

Raw data is a big pile of unstructured information. To make sense of this information, data analysts use their expertise to derive crucial information from the big pile of data!

This is where types of data analysis in research methodology come into play.

Below given are a brief description of the types of data analytics that are extensively used today.

 

Descriptive analytics

 

Descriptive analysis or statistics summarizes raw data and converts them into a form that humans can understand.

It describes in detail about an event that has happened in the past.

This kind of analytics is helpful in drawing interpretations or deriving a pattern from past events so that effective strategies can be formed for the future.

You could say that this is the most popularly and frequently used type of analytics across industries. It plays a key role in revealing key measures and metrics within a business.

 

Diagnostic data analytics

 

Diagnostic analytics is the successor to descriptive analytics.

With the help of diagnostic analytical tools, analysts are able to dig deeper into issues at hand and be able to unearth the source of the problem.

Drill-down, data mining, data discovery and correlations are some of the tools used in this form of data analytics.

In a structured business environment, both diagnostic and descriptive analytics tools go hand-in-hand.

 

Predictive data analytics

 

In the process of data analytics, this is the most extensively used model.

This format of data analytics is used for identifying correlations, trends and causation. It is further divided into two types – predictive modelling and statistical modelling. Both of these work in correlation to each other.

In this type of analysis, various co-dependent variables are assessed to predict a trend. For instance, in the healthcare sector, potential health risks can be predicted on the basis of an individual’s diet, habits and genetic composition.

 

Prescriptive data analytics

 

In any situation, this format of data analytics explains the step-by-step process.

For example, a prescriptive analytics is what is used when an Uber driver gets the fastest and easiest route from Google maps. This route was selected after considering the distance of every available route from the pick-up point to the destination, along with traffic constraints.

For predictive data analytics, Big Data and AI are used to help predict possible outcomes. It is further broken down to Random Testing and Optimization.

 

 

Are you interested in securing a successful career in the domain of data analytics? If so, you need to get yourself enrolled in data analytics training provided by any good Data Science Training Institute. Such training programs are designed to impart knowledge and expertise in the basics, as well as, types of digital data in business analysis and more.

 

Make sure to undertake training from a professional company for the best results.

Top Artificial Intelligence Books to Read in 2019

Top Artificial Intelligence Books to Read in 2019

 

So, thinking of what AI books to include in your reading list?

 

Below given are some of the top artificial intelligence books 2019 recommended by experts.

 

The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind by Marvin Minsky

Source: Amazon

 

Scientific pioneer Marvin Minsky carries on with his ground-breaking research in this mind-expanding book.

 

This is one of the best AI books 2019 providing a fascinating new model for the how the mind works.

 

Marvin persuasively argues that intuitions, emotions and feelings are not distinct things, but they are different ways of how one thinks.

 

Artificial Intelligence: A Modern Approach by Peter Norvig and Stuart Russell

Artificial Intelligence: A Modern Approach

Source: Amazon

 

A Modern Approach provides the most up-to-date and comprehensive introduction to the practice and theory of AI.

 

Regarded as one of the best books in its field, it is perfect for graduate-level and undergraduate courses.

 

So, if you are interested to learn Artificial Intelligence, this textbook is a must-read.

 

Introduction to Artificial Intelligence by Philip C Jackson

Introduction to Artificial Intelligence

Source: Abebooks

 

This book gives an introduction to the science of reasoning processes in computers, the research approaches and the results of the past twenty years.

 

You will find easy-to-read, lucid coverage of the problem-solving methods, models and representations, automated understanding of natural languages, game playing, robot systems, heuristic search theory and specific artificial-intelligence accomplishments.

 

The textbook also includes related subjects like, predicate-calculus theorem proving, psychological simulation, machine architecture, novel software techniques, automatic programming, industrial automation and more.

 

Machine Learning by Tom M. Mitchell

Machine Learning

Source: Amazon

The field of machine learning is covered by this book and it is the study of algorithms, which allow computer programs to improve through experience automatically.

 

If you are pursuing an introductory level graduate course or upper level undergraduate course in machine learning, this is one of the best machine learning books 2019.

 

The Master Algorithm by Pedro Domingos

The Master Algorithm

Source: Amazon

 

With data-ism being a trendy philosophy, this book has been hailed as its bible.

 

The Master Algorithm is a ground-breaking book and an essential guide for anyone who wishes to comprehend not just how the revolution is going to happen, but how they can be on the forefront.

 

The Singularity is Near by Ray Kurzweil

The Singularity is Near

Source: Amazon

 

This book offers an optimistic and radical view of the future course of human development. It is regarded as one of the best AI research books and should be on your reading list.

 

So, if you were wondering what is the best book on Artificial Intelligence?, the answer isn’t in one single book.

 

Include all of them in your summer reading list and by the time your holidays are over, you will have a strong grasp on AI,AI Robots and machine learning

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Future of AI Robots

Future of AI Robots

 Artificial Intelligence or AI is the most exciting and interesting field of Robotics. AI’s most challenging area is to understand how natural intelligence works.Let’s take an example of Human Brain. It has billions and billions of neurons, and that we think and learn is by establishing electrical connections between different neurons. But do we know how all these connections add up to higher reasoning, or even low-level operations?

AI’s final aim is to recreate human thought process. This would include the ability to learn sequences, patterns, how to use language and to formulate original ideas. Roboticists are nowhere near achieving this level of artificial intelligence, but they have made a lot of progress with more limited AI. Today’s AI machines can replicate some specific elements of intellectual ability like some robots can learn in a limited capacity or interact socially,or replicate basic human activities sequentially.

Kismet, a robot at M.I.T’s Artificial Intelligence Lab, can recognizehuman body language and voice inflection- and responds appropriately. Kismet’s creators are now exploring on how humans and babies interact; by analyzing the tone of speech and visual cue. This low-level interaction may pave the foundation of a human-like learning system.Kismet and other humanoid robots at the M.I.T. AI Lab,use an unconventional control structure. Instead of directing every action using a central computer, the robots control lower-level actions with lower-level computers. The program’s director, Rodney Brooks, believes this is a more accurate model of human intelligence. According to him, we do most things automatically and usually don’t decide at the highest level of consciousness.

ai robot
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Below are the current trends in ongoing research and development on AI Robots:

-> AI in Beer Brewers

-> AI in Cybersecurity

-> AI diagnostics for X Rays

-> AI in Smartphone Apps

-> AI in Fintechand the list is on.

Now the question comes how you will participate in this AI Journey. An AI programmer helps develop operating software that can be used for robots, artificial intelligence programs or other artificial intelligence applications. They may need to work closely with electrical engineers or robotics engineers and others to produce systems that utilize artificial intelligence. Affluenz IT Academy is a global E-Learning provider, also providing best in class Online Artificial Intelligence Training course in Kolkata. We aim in building your basic knowledge on TensorFlow, Machine Learning, and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems. Affluenz IT Academy has Artificial Intelligence Training center in Kolkata, India: where you can visit to interact with faculties and research fellows associated with us in this journey. We have Instructor-Led Live Interactive sessions carefully crafted for Fresh Graduates, IT Professionals and students currently pursuing specialized courses. Visit us at https://www.affluenzitacademy.com to gain more insight on our courses.

Cloud Security Alliance

Cloud Security Alliance

Cloud is the ultimate platform to current technology. But What if it fails ensuring data protection? This thought brings in cloud security platform and its researchers aim in helping enterprise information technology and decision makers to analyze the security implications of cloud computing in their business.

Main purpose of Cloud Security is:

  • To analyze the sensitivity to risks of user’s resources.
  • To understand the data storage and transfer mechanism provided by the cloud service provider.
  • To consider proper cloud type to be used.

The most accepted Cloud Security model worldwide is CSA(Cloud Security Alliance). CSA is a stack model that helps one to define the boundaries of each service model & shows with how much variation the functional units relate to each other. CSA creates the boundary between the service provider & the customer. Main key points are:

  • IaaS is the most basic level among all services.
  • Each of the services inherits the capabilities and security concerns of the model beneath.
  • The infrastructure, platform for development & software operating environment are provided by IaaS, PaaS & SaaS respectively.
  • The security mechanism below the security boundary must be built into the system that is required to be maintained by the customer.

AWS re:Invent

AWS re:Invent

AWS re:Invent is a cloud conference hosts by AWS every year and this conference explains you what’s coming next to AWS. It’s a 1-week conference that comprises of several announcements,bootcamps, hackathons, breakout sessions, workshops, and certification opportunities. If you need to know what Amazon’s current products are, product launches and services for attendees of all skill levels.

The research firm, Wikibon, predicts that by 2022 Amazon Web Services (AWS) will reach $43B in revenue, and be 8.2% of all cloud spending

 

1 Thought

When will it happen in 2019? – posted by Anonymous

Reply

DEC. 2-6, 2019
LAS VEGAS, NV

Registration opens May 21
Full conference pass $1799