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Benefits of SAS Machine Learning Certification



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The SAS machine learning certificate is an option for anyone who wants to change careers and work in an AI-related field. This credential is recognized worldwide and comes with a digital badge that you can share on social media sites. You also get an annual membership in SAS Academy as an additional bonus. This certification is a great way to showcase your knowledge and abilities in machine learning/AI and open up new doors.

Qualifications

SAS machine learning certifications are recommended for data professionals. This course teaches artificial Intelligence and machine learning techniques. You will also learn how to use time-series forecasting models and unstructured Data. The program includes three separate exams. You'll receive a digital badge that you can show your potential employer after completion. Below are some of these benefits.

This certification has many benefits. You can even display a digital badge on your profile. The digital badge is an excellent way to display your credentials, as it is globally recognized. Your digital badge can be shared via social media such as Twitter and LinkedIn. This certification can improve your employment prospects. This certification will help you, if you are a business analyst to be able move up in your job.


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Cost

The cost of SAS machine learning certification training can range from around $1,100 to $4,000, depending on your location. There are discounted training opportunities available before you enroll. The SAS official website has links to certification prep books as well as eLearning opportunities. It also contains sample exam questions. The training software can be downloaded to assist you in passing the test. You must register with Pearson VUE to attempt the exam.


The AIMLP credential expires five-years after you pass the exam. It is worth keeping a duplicate of it. You'll also find that your other credentials expire earlier, making it easier to get a new certification at any moment. The SAS certification exam is $180 and the Predictive Modeling using SAS Enterprise Miner test costs $250. Technologists will need to have SAS Enterprise Miner and SAS installation in order to pass the exam.

Exam prep materials

You can use the free SAS machine learning study guide to help you prepare for the exam. These courses are delivered by experts in the subject matter you will be testing on. These materials cover everything from modeling to data manipulation to data file reading to model evaluation. Best of all, they're free! So, what are you waiting? You have many options.

There are two major types of study materials you should consider. The official SAS website is the first. This site contains a variety resources for studying for the exam. Training programs is the second type. SAS offers training programs to prepare for various exams including the SAS Certified Specialist Machine Learning Using SAS Viya3.4 exam. Each exam consists 50-55 question and must be passed by at least 70%.


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Digital badge

SAS has a digital badge that will let you demonstrate your professionalism and show off your skills. The badge can be used on social media, email signatures and digital resumes. Recruiters want to see certification in potential candidates. It shows you are passionate about your field and can be used to prove your competence and current knowledge. Employers will appreciate the proof that you have successfully completed the SAS Machine Learning Certification.

The benefits of the certificate are obvious: Employers will appreciate your digital badge. Employers will appreciate your knowledge. SAS recommends you take multiple courses to prepare for the exam. You will also have access to practice exams and sample questions. Employers will be more impressed by your SAS machine learning certificate. The digital badge can also be used as a marketing tool to build your professional brand.




FAQ

From where did AI develop?

Artificial intelligence began in 1950 when Alan Turing suggested a test for intelligent machines. He believed that a machine would be intelligent if it could fool someone into believing they were communicating with another human.

John McCarthy later took up the idea and wrote an essay titled "Can Machines Think?" In 1956, McCarthy wrote an essay titled "Can Machines Think?" He described the difficulties faced by AI researchers and offered some solutions.


Is Alexa an artificial intelligence?

Yes. But not quite yet.

Amazon's Alexa voice service is cloud-based. It allows users interact with devices by speaking.

The Echo smart speaker, which first featured Alexa technology, was released. However, since then, other companies have used similar technologies to create their own versions of Alexa.

Some of these include Google Home, Apple's Siri, and Microsoft's Cortana.


What countries are the leaders in AI today?

China is the leader in global Artificial Intelligence with more than $2Billion in revenue in 2018. China's AI industry is led by Baidu, Alibaba Group Holding Ltd., Tencent Holdings Ltd., Huawei Technologies Co. Ltd., and Xiaomi Technology Inc.

The Chinese government has invested heavily in AI development. The Chinese government has set up several research centers dedicated to improving AI capabilities. The National Laboratory of Pattern Recognition is one of these centers. Another center is the State Key Lab of Virtual Reality Technology and Systems and the State Key Laboratory of Software Development Environment.

China is home to many of the biggest companies around the globe, such as Baidu, Tencent, Tencent, Baidu, and Xiaomi. All these companies are actively working on developing their own AI solutions.

India is another country where significant progress has been made in the development of AI technology and related technologies. India's government focuses its efforts right now on building an AI ecosystem.


Why is AI important?

It is predicted that we will have trillions connected to the internet within 30 year. These devices will include everything from cars to fridges. The combination of billions of devices and the internet makes up the Internet of Things (IoT). IoT devices will be able to communicate and share information with each other. They will also have the ability to make their own decisions. For example, a fridge might decide whether to order more milk based on past consumption patterns.

It is expected that there will be 50 Billion IoT devices by 2025. This is a huge opportunity to businesses. It also raises concerns about privacy and security.


What does the future look like for AI?

Artificial intelligence (AI) is not about creating machines that are more intelligent than we, but rather learning from our mistakes and improving over time.

So, in other words, we must build machines that learn how learn.

This would mean developing algorithms that could teach each other by example.

We should also consider the possibility of designing our own learning algorithms.

You must ensure they can adapt to any situation.


Are there any potential risks with AI?

It is. There will always exist. AI could pose a serious threat to society in general, according experts. Others argue that AI can be beneficial, but it is also necessary to improve quality of life.

AI's potential misuse is one of the main concerns. Artificial intelligence can become too powerful and lead to dangerous results. This includes autonomous weapons and robot rulers.

AI could eventually replace jobs. Many people are concerned that robots will replace human workers. Some people believe artificial intelligence could allow workers to be more focused on their jobs.

Some economists believe that automation will increase productivity and decrease unemployment.


Who are the leaders in today's AI market?

Artificial Intelligence, also known as computer science, is the study of creating intelligent machines capable to perform tasks that normally require human intelligence.

Today there are many types and varieties of artificial intelligence technologies.

There has been much debate about whether or not AI can ever truly understand what humans are thinking. Deep learning technology has allowed for the creation of programs that can do specific tasks.

Today, Google's DeepMind unit is one of the world's largest developers of AI software. Demis Hassabis was the former head of neuroscience at University College London. It was established in 2010. DeepMind developed AlphaGo in 2014 to allow professional players to play Go.



Statistics

  • In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)
  • According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
  • While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
  • That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
  • A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)



External Links

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hbr.org


forbes.com




How To

How to Set Up Siri To Talk When Charging

Siri can do many tasks, but Siri cannot communicate with you. This is due to the fact that your iPhone does NOT have a microphone. Bluetooth is an alternative method that Siri can use to communicate with you.

Here's how you can make Siri talk when charging.

  1. Select "Speak When locked" under "When using Assistive Touch."
  2. Press the home button twice to activate Siri.
  3. Siri will speak to you
  4. Say, "Hey Siri."
  5. Say "OK."
  6. Speak up and tell me something.
  7. Speak out, "I'm bored," Play some music, "Call my friend," Remind me about ""Take a photograph," Set a timer," Check out," and so forth.
  8. Say "Done."
  9. If you would like to say "Thanks",
  10. If you have an iPhone X/XS (or iPhone X/XS), remove the battery cover.
  11. Reinsert the battery.
  12. Assemble the iPhone again.
  13. Connect your iPhone to iTunes
  14. Sync the iPhone
  15. Enable "Use Toggle the switch to On.




 



Benefits of SAS Machine Learning Certification