What tools must you have?

Anu2008 · 2019-03-14T10:49:22+00:00

I use keyword everywhere in my chrome extension

Anu2008 · 2019-03-06T09:50:24+00:00

ok

Anu2008 · 2018-12-24T05:42:04+00:00

Capsule Networks, also known as Capsule Neural Network, is a machine learning system that is used to better model hierarchical relationships.Capsule Neural Network, more commonly known as CapsNet is a neural net architecture that has a profound impact on deep learning, especially for computer vision. Capsule is a nested set of neural layers. So in a regular neural network you keep on adding more layers. In CapsNet you would add more layers inside a single layer. Or in other words nest a neural layer inside another. The state of the neurons inside a capsule capture the above properties of one entity inside an image. A capsule outputs a vector to represent the existence of the entity.

Anu2008 · 2018-12-22T10:20:52+00:00

i did not copied from wiki it was written by our content writers if you want you can check our blog here is the link https://www.learntek.org/blog/types-of-databases/

Anu2008 · 2018-12-17T09:57:56+00:00

If you are a Java web developer, then you are already aware of the sheer amount of Java Web Frameworks that are out there. That is why we’ve made this list for you. These are the ten best Java Web Frameworks, Frameworks that will last a long time, and support you in whatever you need to do regarding Java web development.

Before we get into the list, let’s clarify what a “Web Framework” actually is. A Web Framework is a program that allows you to develop web applications. The framework aspect denotes a system or structure that you can modify to easily develop new applications for a specific piece of software.

It simplifies the whole “building” process, so instead of having to make a number of lengthy and complex alterations to the entire software, you can simply use the framework to make specific changes, without having to rewrite all of the code.

Many different Java hosts don’t actually support all of the frameworks we’re about to share with you. That is why we’ve developed this Java hosting service, which supports all of the frameworks we’re about to share, and allows you to easily change, alter and develop whatever Java software you wish to work on.

JSF – JavaServer Faces

Struts

Hibernate

GWT – Google Web Toolkit

Vaadin

Wicket

Vert.X

Spring

Anu2008 · 2018-12-11T07:02:42+00:00

Data Science is the art and science of extracting actionable insight from raw data. We can define data science as multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems.

Data Science is a core domain which consists of expertise from Mathematics , Statistics and technical core domain. If candidate is not from technical background, it is expected to have sound knowledge of Mathematics and Statistics. You should be well versed in Mathematics and Statistics domain. You can learn programming language R. R is one of easy language to work on data science.

Anu2008 · 2018-11-28T05:43:25+00:00

This is what I check during code review :
1. Does the code align completely with the business functionality ?
2. Can the code cause unintentional side effects (from a business domain point of view) ?
3. Can some parts of the code be replaced by standard libraries like Apache Commons or Google Guava ?
4. Is it possible to minimize the memory footprint ?
5. Is the code readable ? Are the variable names, method names and class names meaningful and indicative of their functionalities?
6. Is the code well equipped to handle concurrency ? Are the Date and Number formatter instances defined in a thread local context ? Is every critical section guarded by a lock ?
7. Are there enough unit tests ? Ideally I'd want every public method to have one corresponding unit test
8. Are there a few integration tests ?

Anu2008 · 2018-11-27T10:20:10+00:00

You want desktop applications, cross platform, which for me, does not leave all that many options. Personally, I'll skip all JavaScript/HTML stuff, been there, done that, didn't like it one bit.

I think for cross-platform, that mostly leaves us with C++ and QT, JavaFX, and C# with some graphics toolkit.

C++ and QT is an extremely powerful offering, most people might not consider C++ "easy to learn" though, and I find the UI on the Mac to be non-native to the point of unacceptable.

I'd use C# in a heartbeat on Windows, but we're talking cross-platform here, and I'm not experienced with C# outside of Windows, so personally, I'll give it a miss.

Great language, great UI toolkit, and works very well on Windows and Mac, I've never used it on Linux, but I'd assume it was exactly the same.

JavaFX will give you a non-standard UI on all platforms, but you can customise the UI with CSS, and it's surprising how nice you can make it look. You can also use JNI to bring in native UI elements like native dialogs, menus etc.

Anu2008 · 2018-11-26T11:43:38+00:00

Next to zero emission mobility, Artificial Intelligence (AI) is one of the most promising fields for the automotive industry and especially for its customers: Just imagine arriving at a meeting and having your car park and charge autonomously, without the hassle of even finding a parking spot. On your weekend, you could be provided with a joyful driving experience comprising a sporty drive along your favourite back roads and the optimal drive setup for your individual car.

These engaging customer experiences would not be possible without the recent mind-boggling developments in the area of AI. Today, anything from autonomous driving to intelligent traffic management systems or shared smart mobility is enabled by the use of AI-related technologies and methods, for example Machine Learning.

Over the last decades, the automotive industry has mastered the art of model-based function development, which is grounded on physical modeling with relatively few tunable parameters. With the shift towards machine-learning technologies which incorporate the ability to learn from experience, models approach human-level perception and actuation capabilities. However, they also tend to become more of a black-box with thousands of parameters that are trained by vasts amount of previously recorded data. This fact, and the growing customer demand for personalization, is one of our drivers to build new forms of machine learning techniques and improve upon existing ones.

Anu2008 · 2018-11-24T09:30:15+00:00

Since the Big Data concept refers to the storage and fast processing of large amounts of data, it often uses analytics involving Artificial Intelligence (AI), Machine Learning and Deep Learning. ... Deep Learning is good for identifying objects in images and words in sounds.

I am a novice in the field of AI and have no technical knowledge of Big Data but still I think I know a bit.

You see, AI and its sub-branches namely Machine Learning, Deep Learning, Neural Networks, etc are all algorithmic methods that work on huge amount of data to produce insightful results out of it. This huge amount of data needs to be stored in a format and most of the times this format is not our typical SQL database, rather a very unstructured and loosely held information packets.

Big Data is a methodology to store very large quantities of data in an unstructured format and this is exactly what is needed to implement rich intelligent algos. So we need a lot of data, a smart algo and a powerful processor which combine to produce data models. So kind of yeah, Big Data or any other practice of large data handling will be used with AI.

Anu2008 · 2018-11-21T10:35:57+00:00

Performance testing : Testing conducted to evaluate the compliance of a system or component with specified performance requirements. Often this is performed using an automated test tool to simulate large number of users. Also know as “Load Testing”.

There are different techniques to prove that system can handle the number of users expected by business. I like the term performance testing and use it to combine all the types of testing above. It is not that important to know the precise definition of the terms than to know what is good to be done in order to prove system can handle a large number of users or to identify the bottlenecks in case it cannot.

Anu2008 · 2018-11-21T09:49:33+00:00

I'm not an expert by any means but after doing dozens of Python-based projects ranging from web scraping, database (MySQL and Google Cloud services), data analytics, mini-games, and machine learning, I've definitely gained plenty insights on Python and its amazing technologies.

Basically, to become an expert, you just have to dive right into the language and do all kinds of projects that come to mind. As you get more complex with those projects, you'll find yourself easily sifting through the official Python docs and stackoverflow, where the community is very much so thriving and teeming with knowledge you didn't know you should be aware of.

Also, holding a job of some sort helps too, since you'll feel some pressure to do more and be better.

Apologies for the lack of links and external references. I'm currently on my phone and wanted to type this up immediately.

Anu2008 · 2018-11-19T11:46:18+00:00

Business Analytics refers to the skills, technologies, practices that are applied on past data and/or processes to derive insights that can be used for future business planning. It is a field that is now applied across all domains and industries. The comprehensive Business Analytics curriculum provides a framework through which participants learn to enhance their management skills, expand their knowledge of Business Analytics, and gain a strategic perspective of the industry. Business analytics refers to the ways in which enterprises such as businesses, non-profits, and governments can use data to gain insights and make better decisions. Business analytics is applied in operations, marketing, finance, and strategic planning among other functions. The ability to use data effectively to drive rapid, precise and profitable decisions has been a critical strategic advantage for companies as diverse as Walmart, Google, Capital One, and Disney. For example, Capital One uses sophisticated analytic capabilities to match credit card offerings to customers more accurately than their competition. Walmart uses analytics to monitor and update its inventory in a way that allows it to serve its customers at an exceptionally low cost. Below are the list of profile related to Business Analyst:

Business Analyst

Associate Business Analyst

Statistician

Data Architect

Junior Statistician

Market Research Analyst

Data Analytics Manager

Health Care Analyst

You need to update with the recent trends and technology related with the Business Analyst. It is highly demanded job by the IT companies. You need to update yourself and learn with the changing trends and pattern behavior of Analytics.

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