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/

yes it is the most preferred language

krishsai:
python is most preferred.

welcome

Jamesdaniel01:
Thanks for sharing!

thanks

Jamesdaniel01:
Thanks for sharing!

thanks

Jamesdaniel01:
Thanks for sharing!

A new idea, a path breaking product; you know it is the alpha among all your products. But how sure are you that it is the only product of its kind in the market. In most of the cases, your products will have at least a few competitors no matter how big an innovative disruption it is. You have to make sure that your product is a class apart and gets all the right attention that makes it the first choice for your target audience. This is where The Strategy Canvas comes into action.

What is The Strategy Canvas?

Read More: Create a Product that Stands out of the Crowd with The Strategy Canvas
.

thankyou so much

Vishvak:
Very useful information

thankyou

Vishvak:
Nice article

thankyou

Vishvak:
Interesting

thankyou

Vishvak:
Nice information

THANKYOU

Vishvak:
Nice info

Yes according to top job portals

Jamesdaniel01:
AI Engineers and Data Scientist are one of the most demanded job profiles in 2020 according to LinkedIn.

Thank you!

Vishvak:
Covered all the main areas. Nice article !

Thanks vishvak

Vishvak:
Well explained !

I agree with you Abcruz

Abcruz:


@michaellyam
I beg to disagree with the above statement. What then is the benefit of choosing an "ideal" language if it does'nt fit into your AI project?

The beauty of programming solely lies in application. Therefore, project is a major determinant of your chosen language.

Yes, I Agree

krishsai:
Yes, Data Science related roles are the most demanded jobs

THANKS

krishsai:
Good Information !

THANK YOU

krishsai:
Nice Info!

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://bigdataengineers.gr8.com/

.

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://bigdataengineers.gr8.com/

.

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://bigdataengineers.gr8.com/

.

Yes I agree! But Golang is also being used widely used for AI

Abcruz:
Python is the king of AI

This article may helps you . https://www.nairaland.com/5643151/5-best-programming-language-artificial. All the best!

Javanian:
Due to the numerous "i want to start programming, which language should i start with" threads on this board i decided to create a thread that will address this issue. I am not a wonderful writer and i won't say i know it all but i will try. I urge every one on this board to correct me where i err an also contribute in whatever way you can to make this thread worth it. I will try as much as possible not to be biased in this write up.

I am not going to go into detail in defining what programming is because i will assume before entering this thread you should already know what programming is. But in summary programming is the act of creating whatever you want with your brain and computer programming is the act of creating whatever you want with your brain and a computer. You can read more from

http://en.wikipedia.org/wiki/Computer_programming

Programmers could also be called software programmers, software developers and other big-big names you can think of.

Feel free to ask your questions, i will try and answer the ones i can my Ogas in the house will help me with those i can't answer

Please every Programmer should try as much as possible to check on this thread once in a while to help answer some questions Newbies would like to ask.

AI programmers today are expected to master many languages as they work in an interdisciplinary environment and not in silos. The list goes as Python, R, Java, Lisp, Prolog, Julia, etc.

Though the current generation loves Python more, a frontend developer must know JavaScript, Python, and R for machine learning applications. A lead developer for process automation at a well-renowned organization knows R, Java, Nia, and .Net and writes code for AI, machine learning, chatbots, automation systems, etc. However, larger enterprise systems continue to write in Java. PHP was used by one of my developer friends while writing a pre-Siri communication tool. R, Matlab, Weka are necessary for machine learning and data mining.

Yes, there is no single ‘AI language’ to consider as the best programming language.

So, let's discuss a few popular languages that are on-trend and usage in AI projects across the globe. This may help you to become an AI engineer soon.

1) Python:

It ranks first among all other languages for AI, ML, and data analytics. It is advisable to use when you need rapid coding. Python is a favorite choice because:
• It has a great library ecosystem. Some of the commonly used libraries are SciKit-learn to handle basic ML algorithms, Pandas for high-level data structures and analysis, Keras and TensorFlow for deep learning, Matplotlib for visualization. Keras and TensorFlow are used by most of the AI engineers today.
• The learning curve is much easier for AI developers
• The Python language is flexible and it decreases the possibilities of errors, and also programmers can combine Python with other languages
• As python is platform-independent, it saves money and time used for testing on various platforms. It makes the overall platforms simple and convenient.

2) Lisp:

Lisp is the favorite language for developers to solve a problem in inductive logic projects while building AI solutions. Apart from Lisp, Prolog, Scheme, Haskell is good to go for logic-based AI projects. Lisp is used for AI because of the following reasons:

• Supports symbolic programming
• Does not distinguish data and codes which makes the language more powerful
• Extensible than other programming languages
• Read-Eval-Print Loop eases interactive programming
• It comes with a good environment like debugging, incremental compilers, etc.

3) Prolog:

Prolog comes with unique features like pattern matching and automatic backtracking. This feature is used in AI development for advanced solutions. It is a logic programming language and favored by AI programmers.

The Prolog program consists of:

• Declaration of the facts of the relations
• Declaration of rules concerning relations
• Formulations of questions

So, prolog can analyze the relationship between an act, a statement and a conditional statement, which is helpful in artificial intelligence.

4) Matlab:

It is suggested to use Matlab while implementing complex mathematical operations. Matlab provides AI capabilities like Caffe and TensorFlow. It lets you integrate AI into the complete workflow. In a way, with MATLAB, you are ready for AI even without a machine learning experience. You have the provision to use apps and try out different approaches quickly.

C++:

It is recommended by AI engineers for projects like search engines, computer games, building neural networks as it facilitates faster execution of complex algorithms. As C++ supports re-use of programs due to inheritance and data hiding, it saves time and costs. C++ is recommended because:
• It is easy to find solutions for complex AI problems
• It is rich in library functions and programming tools
• It supports object-oriented principles and can be used to achieve organized data

5) Java:

Java is used for neural networks and works well with search algorithms. It can be used for larger projects. Some of the benefits Java produces include:
• Easy use
• Easy debugging
• Package services
• Graphical representation of data
• Better user interaction
• Sophisticated graphics and interfaces with Swing and the Standard Widget Toolkit

So, each language comes with specific features and benefits. Being an AI developer, you must choose ideal programming languages and not a language for your AI projects.

Based on a study made by “Pew Research study on Future Jobs,”

It predicts AI to pervade human lives by 2025, eliminating every job possible. However, at the same time there, will be newer job opportunities for those having the right and relevant skillset.

Do you have what it takes to grab an AI job today?

Here are the top emerging jobs worth grabbing in 2020 with their annual growth percentage, report based on LinkedIn: -

1) Artificial intelligence specialist — 75%
2) Robotics engineer — 40%
3) Data scientist — 37%
4) Data engineer — 33%
5) Cyber security specialist — 30%
6) Cloud engineer — 27%

Read More : https://medium.com/@albertchristopherr/a-complete-guide-to-strengthen-your-career-as-an-ai-engineer-33e834d1744

Based on a study made by “Pew Research study on Future Jobs,”

It predicts AI to pervade human lives by 2025, eliminating every job possible. However, at the same time there, will be newer job opportunities for those having the right and relevant skillset.

Do you have what it takes to grab an AI job today?

Here are the top emerging jobs worth grabbing in 2020 with their annual growth percentage, report based on LinkedIn: -

1) Artificial intelligence specialist — 75%
2) Robotics engineer — 40%
3) Data scientist — 37%
4) Data engineer — 33%
5) Cyber security specialist — 30%
6) Cloud engineer — 27%

Read More : https://medium.com/@albertchristopherr/a-complete-guide-to-strengthen-your-career-as-an-ai-engineer-33e834d1744

There are over 8.3 billion IoT devices connected today. The growth further projects to grow to 10 billion by next year (2020) and 22 billion in 2025.

Do You Have the Slightest Idea How AI and IoT Are Ruling the Technology World? Here Are Some Burning Statistics:

1)80 percent of all enterprise IoT projects to include AI as a major component by 2022, says Gartner.
2)41 percent of consumers believe AI will ease their lives.
3)Every second, there are 127 IoT devices that are getting connected to the internet.
4)By 2025, it’s expected that there will be around 44 billion IoT devices worldwide, a report by Statista.

Artificial Intelligence and IoT – AI to Boost the Internet of Things (IoT)
If you’re wondering how AI is being used with IoT, here are a few perfect examples for you to understand.

1) Tesla’s Autopilot

The Tesla autopilot system enables GPS, sonars, cameras and forward-looking radars, in combination with specialized hardware, through which data can be fully utilized and coupled into Neural Network Architectures. This works like a self-enclosed system that gathers information from the sensors and further uses the Neural Network model that determines the next change in the movement of the car.

Dearth for talent and lack of expertise in the IoT market reveals the upsurge for AI professionals – AI specialists and AI engineers.

Read More: Revolutionizing IoT Through AI: Why They’re Perfect Together

..

There are over 8.3 billion IoT devices connected today. The growth further projects to grow to 10 billion by next year (2020) and 22 billion in 2025.

Do You Have the Slightest Idea How AI and IoT Are Ruling the Technology World? Here Are Some Burning Statistics:

1)80 percent of all enterprise IoT projects to include AI as a major component by 2022, says Gartner.
2)41 percent of consumers believe AI will ease their lives.
3)Every second, there are 127 IoT devices that are getting connected to the internet.
4)By 2025, it’s expected that there will be around 44 billion IoT devices worldwide, a report by Statista.


Artificial Intelligence and IoT – AI to Boost the Internet of Things (IoT)
If you’re wondering how AI is being used with IoT, here are a few perfect examples for you to understand.

1) Tesla’s Autopilot

The Tesla autopilot system enables GPS, sonars, cameras and forward-looking radars, in combination with specialized hardware, through which data can be fully utilized and coupled into Neural Network Architectures. This works like a self-enclosed system that gathers information from the sensors and further uses the Neural Network model that determines the next change in the movement of the car.

Dearth for talent and lack of expertise in the IoT market reveals the upsurge for AI professionals – AI specialists and AI engineers.

Read More: Revolutionizing IoT Through AI: Why They’re Perfect Together

..

Nice article !

Jamesdaniel01:
This link will give you more insights about Bid Data Engineer Demand : https://www.infoworks.io/data-engineers-greater-demand-data-scientists/

Yes this quite interesting

Jamesdaniel01:
I feel this helps you a lot: https://insights.dice.com/2019/06/04/data-engineer-remains-top-demand-job/

A career in engineering is rewarding. An engineer’s basic skills like logical thinking, problem-solving, and numeracy, are desirable in most of the business and IT sectors. As their scientific knowledge can be applied in many ways, they have a wealth of options to choose from.

Engineering is a diverse world and the emerging fields like Artificial Intelligence, Data Science, Food Science, Fashion technology, and others need engineers. The studies indicate that 2 million engineering jobs will be created by 2020.

Let’s explores the major career options for an aspiring engineer with reference to emerging technologies.

Here I am listing down the emerging career options for engineers:

1. Robotic Engineer

Robotic engineers are in demand as they can deal with industrial design, mechanical maintenance, algorithm creation, autonomous robots, behavioral control of robots, social implications of robots, and so forth. Moreover, being a robotic engineer, you can be one of the special contributors to the ‘Internet of Things.’

2. Environmental Engineer

The demand for environmental engineers is raising as they can design green energy systems. It includes windmills, hydro power deployments, or solar infrastructures.

The areas of demand for environmental engineers include waste management, recycling, and methods to reduce air and water pollution. The companies and government are taking more greener initiatives and this has increased the demand for environmental engineers.

3. Data Science And Computational Engineering

The emerging engineering professions have a combined element of mechanical and electrical engineering, principles of data analytics and computer programming. It enables professionals to address problems related to logistics, Energy, Physics, or Data using computer algorithms, statistical modelling, and other data techniques.

4. Virtual And Augmented Reality Engineering

Virtual Reality (VR) and Augmented Reality (AR) technologies are being integrated into e-commerce, real estate, gaming, advertising, and is a top priority for tech firms like Facebook, Google, or Apple.

It is estimated that the VR market alone would be of $33.9 billion worth by 2022. The software and hardware experts capable of creating the AR/VR devices for businesses and consumers are in great demand.

5.Artificial Intelligence Engineer (AI Engineer)

Artificial Intelligence and Machine Learning are creating an impact in almost all segments of daily life. More companies are adopting artificial intelligence technologies to create the next generation of software solutions.

As a result, a career in AI is more promising and demanding worldwide. A recent report from Gartner states that 2.3 million new jobs will be created by 2020. According to indeed job alerts, the average salary of AI engineer is $140,866 and is one of the highest paid technical job.

Apart from the subject knowledge, AI engineers must have business skills like analytical problem solving, creative thinking and knowledge in the industry they are working for. The industrial knowledge helps to gain an overall view of the business and implement AI technology for business purposes. This can bring the real transformation which is much-needed in today’s business.

A career in engineering is rewarding. An engineer’s basic skills like logical thinking, problem-solving, and numeracy, are desirable in most of the business and IT sectors. As their scientific knowledge can be applied in many ways, they have a wealth of options to choose from.

Engineering is a diverse world and the emerging fields like Artificial Intelligence, Data Science, Food Science, Fashion technology, and others need engineers. The studies indicate that 2 million engineering jobs will be created by 2020.

Let’s explores the major career options for an aspiring engineer with reference to emerging technologies.

Here I am listing down the emerging career options for engineers:

1. Robotic Engineer

Robotic engineers are in demand as they can deal with industrial design, mechanical maintenance, algorithm creation, autonomous robots, behavioral control of robots, social implications of robots, and so forth. Moreover, being a robotic engineer, you can be one of the special contributors to the ‘Internet of Things.’

2. Environmental Engineer

The demand for environmental engineers is raising as they can design green energy systems. It includes windmills, hydro power deployments, or solar infrastructures.

The areas of demand for environmental engineers include waste management, recycling, and methods to reduce air and water pollution. The companies and government are taking more greener initiatives and this has increased the demand for environmental engineers.

3. Data Science And Computational Engineering

The emerging engineering professions have a combined element of mechanical and electrical engineering, principles of data analytics and computer programming. It enables professionals to address problems related to logistics, Energy, Physics, or Data using computer algorithms, statistical modelling, and other data techniques.

4. Virtual And Augmented Reality Engineering

Virtual Reality (VR) and Augmented Reality (AR) technologies are being integrated into e-commerce, real estate, gaming, advertising, and is a top priority for tech firms like Facebook, Google, or Apple.

It is estimated that the VR market alone would be of $33.9 billion worth by 2022. The software and hardware experts capable of creating the AR/VR devices for businesses and consumers are in great demand.

5.Artificial Intelligence Engineer (AI Engineer)

Artificial Intelligence and Machine Learning are creating an impact in almost all segments of daily life. More companies are adopting artificial intelligence technologies to create the next generation of software solutions.

As a result, a career in AI is more promising and demanding worldwide. A recent report from Gartner states that 2.3 million new jobs will be created by 2020. According to indeed job alerts, the average salary of AI engineer is $140,866 and is one of the highest paid technical job.

Apart from the subject knowledge, AI engineers must have business skills like analytical problem solving, creative thinking and knowledge in the industry they are working for. The industrial knowledge helps to gain an overall view of the business and implement AI technology for business purposes. This can bring the real transformation which is much-needed in today’s business.