You should look into the SAS machine-learning certification if you're looking to make a career switch to AI. This credential is internationally recognized and includes a digital badge you can share on social networks. The credential also includes an annual membership to SAS Academy. 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, as well as how to utilize time series forecasting models and unstructured data. There are three exams. A valuable digital badge will be issued to you upon completion. Below are some of these benefits.
This certification offers many benefits, including a digital badge that you can display on your profile. As it is globally recognized, the digital badge can be a great way for you to showcase your credentials. You can also share the digital badge via social media, such as LinkedIn or Twitter. 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.
Cost
Depending on where you live, the cost of SAS machine-learning certification training can vary from $1,100 up to $4,000. You can get discounted training opportunities prior to enrolling. The SAS official website has links to certification prep books as well as eLearning opportunities. It also contains sample exam questions. To help you pass the exam, you can also download the training program. Before you can attempt the exam, however, Pearson VUE must be registered.
The AIMLP credential expires after passing the exam. You may want to save a copy. You'll also find that your other credentials expire earlier, making it easier to get a new certification at any moment. Predictive Modeling with SAS Enterprise Miner costs $250. The SAS certification exam costs $180. Technologists will need to have SAS Enterprise Miner and SAS installation in order to pass the exam.
Exam prep resources
You can use the free SAS machine learning study guide to help you prepare for the exam. These online courses are taught and evaluated by experts in the areas you will be tested. These resources include everything you need, including how to manipulate data and read data files. They also provide information on how to evaluate model performance. They are also free! What are you waiting to do? Look at all your options right now!
There are two major types you should take into consideration when choosing study materials. The official SAS website is the first. This website offers many resources to help you prepare for the exam. These include study guides, documentation and sample papers. 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%.
Digital badge
A digital badge from SAS will help you show that you care about your career. You can use the badge on social media, email signatures, and digital resumes. Recruiters want to see certification in potential candidates. It shows commitment to your profession and is a proof of your ability and current knowledge. Employers will appreciate the proof that you have successfully completed the SAS Machine Learning Certification.
The benefits are obvious. A digital badge is a valuable credential that employers can share with you. SAS recommends taking several courses to prepare you for the exam. Access to practice questions and sample questions will be provided. A SAS machine-learning certification will increase your value to employers. The digital badge also proves to be an excellent marketing tool for your professional brand.
FAQ
Are there potential dangers associated with AI technology?
It is. They will always be. AI is a significant threat to society, according to some experts. Others argue that AI can be beneficial, but it is also necessary to improve quality of life.
AI's potential misuse is the biggest concern. Artificial intelligence can become too powerful and lead to dangerous results. This includes robot dictators and autonomous weapons.
Another risk is that AI could replace jobs. Many fear that robots could replace the workforce. Some people believe artificial intelligence could allow workers to be more focused on their jobs.
For instance, some economists predict that automation could increase productivity and reduce unemployment.
How does AI impact the workplace?
It will change how we work. We will be able automate repetitive jobs, allowing employees to focus on higher-value tasks.
It will improve customer service and help businesses deliver better products and services.
It will enable us to forecast future trends and identify opportunities.
It will allow organizations to gain a competitive advantage over their competitors.
Companies that fail AI adoption will be left behind.
What can AI do for you?
Two main purposes for AI are:
* Prediction - AI systems can predict future events. AI systems can also be used by self-driving vehicles to detect traffic lights and make sure they stop at red ones.
* Decision making - AI systems can make decisions for us. Your phone can recognise faces and suggest friends to call.
What is the role of AI?
An artificial neural network is composed of simple processors known as neurons. Each neuron takes inputs from other neurons, and then uses mathematical operations to process them.
Layers are how neurons are organized. Each layer has its own function. The first layer receives raw information like images and sounds. These data are passed to the next layer. The next layer then processes them further. Finally, the last layer generates an output.
Each neuron has a weighting value associated with it. This value is multiplied when new input arrives and added to all other values. If the number is greater than zero then the neuron activates. It sends a signal down to the next neuron, telling it what to do.
This continues until the network's end, when the final results are achieved.
Statistics
- 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)
- 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)
- The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
- According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
- Additionally, keeping in mind the current crisis, the AI is designed in a manner where it reduces the carbon footprint by 20-40%. (analyticsinsight.net)
External Links
How To
How do I start using AI?
Artificial intelligence can be used to create algorithms that learn from their mistakes. This allows you to learn from your mistakes and improve your future decisions.
A feature that suggests words for completing a sentence could be added to a text messaging system. It could learn from previous messages and suggest phrases similar to yours for you.
It would be necessary to train the system before it can write anything.
To answer your questions, you can even create a chatbot. So, for example, you might want to know "What time is my flight?" The bot will answer, "The next one leaves at 8:30 am."
You can read our guide to machine learning to learn how to get going.