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thanks vishvak

Vishvak:
Very useful information

welcome vishvak

Vishvak:
Thankyou

thankyou

Vishvak:
Thankyou

thank-you james good to know that you like it!

Jamesdaniel01:
Nice PDF Informative

thanks

krishsai:
nice article!

thanks

Vishvak:
Thanks for sharing

Machine learning is gaining traction everywhere. Almost all industries are implementing machine learning in their business processes to improve — productivity, marketing, sales, customer satisfaction, and business profit. This has created an interest in many IT professionals and they tend to change their career track. New graduates look forward to having a career in machine learning. Both these groups of people have many questions to ask about machine learning.

Keeping those budding professionals in mind, I have compiled the common questions that might haunt them and answered them here for reference. These answers may serve as a good starter for these aspiring professionals.

Read Complete Article: https://medium.com/@albertchristopherr/answers-for-7-most-frequently-asked-questions-in-machine-learning-d1e8abd2c071
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thanks for this

Big Data Engineers are in demand! Be a part of this demand. Master the latest skills and technology and be ready for the rising demand.

For More Details Download Free PDF Here: https://big-data-engineer-certification.gr8.com/

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The last decade overturned all that was ever known in the global business sphere. For centuries enterprises had been comfortably trading commodities and services for cash. 2010-2019, the decade of disruption storm, shook the business heavens and upended this equation.

Disruptors that focused on business model and not just the product

This decade witnessed an unprecedented rise and fall of business empires. Sustainability slumped to 15 years from the previous 60 years and it became harder to foresee budding competitors. Let’s begin with the positives.

Here’s a list of top 10 transformative business that made it to the top:

Read More: Business Strategy Lessons from the Decade of Disruption 2010-2019

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Being considered as a game-changer in the market, quantum computing along with AI is already reshaping the world. According to multiple analysts, it is believed that quantum computing has reached a tipping point, as such where the computers will possess the potentiality to create the world’s fastest supercomputer and make it appear like an abacus.

“In less than 10 years, quantum computers will begin to outperform everyday computers, leading to breakthroughs in AI. The very fast computing power given by QC has the potential to disrupt traditional businesses.”

~ Jeremy O’Brien, Physicist and Professorial Research Fellow at the University of Bristol

While companies are heavily contesting in gaining quantum supremacy, let us look closely at how AI in unity with quantum computing could become the quantum powerhouse.

Read More: Quantum Computing: Feedstock For Artificial Intelligence

Being considered as a game-changer in the market, quantum computing along with AI is already reshaping the world. According to multiple analysts, it is believed that quantum computing has reached a tipping point, as such where the computers will possess the potentiality to create the world’s fastest supercomputer and make it appear like an abacus.

“In less than 10 years, quantum computers will begin to outperform everyday computers, leading to breakthroughs in AI. The very fast computing power given by QC has the potential to disrupt traditional businesses.”

~ Jeremy O’Brien, Physicist and Professorial Research Fellow at the University of Bristol

While companies are heavily contesting in gaining quantum supremacy, let us look closely at how AI in unity with quantum computing could become the quantum powerhouse.

Read More: Quantum Computing: Feedstock For Artificial Intelligence

thanks vishvak

Vishvak:
Thanks for sharing! Great information

Golang is now becoming the mainstream programming language for machine learning and AI with millions of users worldwide.

Python is awesome, but Golang is perfect for AI programming!

Launched a decade back, November 2009, Golang recently turned ten. The language developed by Google’s developers is now making programmers more productive. These developers main goal was to create a language that would eliminate the so-called “extraneous garbage” of programming languages like C++. It provides the capability of compiling to machine code, the ability of run-time reflection, and provides the convenience of garbage collection.

Being tested for multiple numbers of environments, it was found to be easy for beginners to work with Python programming and has been deemed favorite amongst young developers. Go language outperforms Python while writing server-side scripts. Thus, when looking for ultra-performant concurrent services that have quick deployment cycles Golang is said to outperform Python.

However, in recent times Go and Python have been termed as the most popular languages that are perfect for AI professionals. As organizations work with both these languages, it can be challenging for you to come up with a stern solution.

Why Golang is preffered:

AI is on the verge of taking the technological world by storm. Machine learning, self-correction, and reasoning are some of the applications that can mimic human intelligence. AI-powered applications are now empowering businesses to improve the usage of their resources resulting in positive effects.

1) High scalability and computation: Golang has a higher potential in scalability and performance as compared to Python. The idea of using Go is because of its high speed as compared to the speed of math computation. For instance, it can cope with complex math problems of up to 20-50 times higher and much faster as compared to Python.

2) Vast AI purposes covered by Golang: Although Go offers small libraries it is consistently growing thus, addressing a large range of AI purposes. Go libraries such as GoLearn (data handling), Goml (passing data), and Hector (binary classification problems) are some of the libraries that serve AI and its applications.

3) Offers a good amount of code readability: Algorithms used in Go offers a minimalist approach allowing developers to easily create readable codes.

4) Ease of usage of Go libraries by Go developers: Most of the Go developers do not need to opt for libraries written in other programming languages. The core advantage of having libraries in Go is that it gives the AI professionals working programming with Go a developer’s comfort.

Why Python is preferred:

What’s the new black in the IT industry? Most answers will include machine learning and AI, and the results wouldn’t be wrong. Both these technologies have been the mainstream of the IT industry and will remain so until the foreseeable future.

1) Multiple numbers of libraries: Multiple libraries can now help AI engineers build new algorithms, conduct dataset processing, do model processing, work with the most complex data, and many more other functions. Not to forget, TensorFlow is one of the most popular libraries (open source) that is utilized for many machine learning applications of Google.

2) Python as a language is accessible: In business terms, language accessibility simply means having a vast market of experts in Python programming. Moreover, as we’re aware these programming languages are widespread across the globe.

3) Strong community: Python has a well-established and strong community. Based on GitHub’s report in 2019, there was nearly 1 million pull request sent over worldwide. The community tends to contribute toward creating new libraries to extending toolset and updating documentation.

Why Golang and not Python?

In terms of scalability, the very work of art of this programming language was to maintain and help developers solve problems at a larger scale. The reason why Golang has inbuilt support for proper concurrent process channeling. However, Python has faced a huge challenge in terms of concurrency.

Due to the support it offers for concurrency, Go had been widely accepted in cluster computing and cloud computing.

As mentioned above, when it comes to readability Python surely takes fame, however, at times they just overdo it. Python does offer you multiple ways to say the same thing again and again that often leads to creating confusion. On the other hand, Go follows strict rules in terms of programming. It does not allow unwanted libraries to simply get imported neither allows the creation of unnecessary variables. Certainly, this means Go has a better advantage of performing a task. While some may disagree with the fact that the code is not versatile. But does anyone care when we talk of core programming? Perhaps it shouldn’t as long as the code is readable.

Drawing conclusions as to which language is better for AI professionals can be a tough job. Although in most cases Golang seems to have the upper hand. Currently, it might not shine as bright as Python but eventually, it will get there someday. For the record, it did take twenty years for Python to reach where it is today. The existence of Python went unnoticed in the initial ten years, it was only in 2001 when it started gaining attraction. Therefore, Go will surely catch up. Perhaps it is already doing a fantastic job in garnering attention.

thanks

krishsai:
Nicely explained

thanks

krishsai:
Very Informative!

That's really nice to hear

krishsai:
your blog also has chances of ranking on voice search.

thanks

krishsai:
A very nice article!

thankyou!

krishsai:
A very nice article!

If you’re a tech optimist who believes in creating a world where man and machine can come closer and work together with humans, then you better need to possess mandatory AI skills.

Based on this report, “2020 Workplace Learning Trends Report: The Skills of the Future,” you will come across how AI is reshaping the world and what are the skills that are a must-know for upcoming AI professionals.

The report also states that the investment funds that are managed by AI are accounted for 35% of the stock market in America.

Finance machines will rise says a recent article in ‘The Economist.’

Trending by the industry’s insights and job trends, these are the skills AI professionals need to master in 2020:

Machine learning
Python
React (web)
Angular
Docker

Read More: Top influential AI skills to target in 2020

..

If you’re a tech optimist who believes in creating a world where man and machine can come closer and work together with humans, then you better need to possess mandatory AI skills.

Based on this report, “2020 Workplace Learning Trends Report: The Skills of the Future,” you will come across how AI is reshaping the world and what are the skills that are a must-know for upcoming AI professionals.

The report also states that the investment funds that are managed by AI are accounted for 35% of the stock market in America.

Finance machines will rise says a recent article in ‘The Economist.’

Trending by the industry’s insights and job trends, these are the skills AI professionals need to master in 2020:

Machine learning
Python
React (web)
Angular
Docker

Read More: Top influential AI skills to target in 2020

..

What is a voice search?
Voice search allows users to search the information on the internet by using their voice rather than typing their queries in a search bar.

The Rise of Voice Search:
With the increase in the adoption of smart speakers and voice assistants like Google Home, Alexa, Siri, Cortana and Smart Phones. Voice search has seen an incredible rise in usage over the past years

In the U.S., alone 53% of 18-36-year-olds have smart speakers, which projects the strong appeal for voice search in the younger generation.

If you’re not currently using voice search optimization, you’re missing out on a ton of traction and valuable leads.

Here are the 8 actionable steps to optimize your website for Voice Search

Read More: http://brainstormingbox.org/voice-search-optimization-8-best-strategies-to-follow-in-2020/

..

What is a voice search?
Voice search allows users to search the information on the internet by using their voice rather than typing their queries in a search bar.

The Rise of Voice Search:
With the increase in the adoption of smart speakers and voice assistants like Google Home, Alexa, Siri, Cortana and Smart Phones. Voice search has seen an incredible rise in usage over the past years

In the U.S., alone 53% of 18-36-year-olds have smart speakers, which projects the strong appeal for voice search in the younger generation.

If you’re not currently using voice search optimization, you’re missing out on a ton of traction and valuable leads.

Here are the 8 actionable steps to optimize your website for Voice Search

Read More: http://brainstormingbox.org/voice-search-optimization-8-best-strategies-to-follow-in-2020/

..

Thanks

Vishvak:
Nice article

thanks for that

Vishvak:
Intriguing

thanks

Vishvak:
Nice Video

2008-2019 The Decade of Cybercrime Tsunamis
Every 39 seconds, a hacker attack happens in the US. Here an outline of the colossal failures that have doddered our lulling business sphere during the past couple of years:

Yahoo’s massive empire crumbled under the weight of heavy-weight data breach of its three billion accounts.

The list is unending. Massive data breaches of Heartland payments systems (134 million credit card numbers), Equifax (over 145.5 million users payment data) still come to haunt us all. Between 2005 and 2012, Russian hackers barged into credit card/ debit card details of 15 US behemoths.


https://www.youtube.com/watch?v=Fra6EJNLOtc&t=10s

2008-2019 The Decade of Cybercrime Tsunamis
Every 39 seconds, a hacker attack happens in the US. Here an outline of the colossal failures that have doddered our lulling business sphere during the past couple of years:

Yahoo’s massive empire crumbled under the weight of heavy-weight data breach of its three billion accounts.

Marriot ill-suited security lost details of its 500 million guests.

The list is unending. Massive data breaches of Heartland payments systems (134 million credit card numbers), Equifax (over 145.5 million users payment data) still come to haunt us all. Between 2005 and 2012, Russian hackers barged into credit card/ debit card details of 15 US behemoths.


https://www.youtube.com/watch?v=Fra6EJNLOtc&t=10s

yes it is for lot of people

Jamesdaniel01:
My favorite programming language is python

thanks

Jamesdaniel01:
Apart from Big Data Engineer. These are the list of top jobs: https://artificialintelligence-news.com/2019/03/15/machine-learning-jobs-high-paying-demand/

thanks for sharing

Jamesdaniel01:
Apart from Big Data Engineer. These are the list of top jobs: https://artificialintelligence-news.com/2019/03/15/machine-learning-jobs-high-paying-demand/