Machine Learning Certification Exam

What Is Machine Learning?

Machine learning is the study of computer algorithms that can learn and develop on their own with experience and data. It is considered to be a component of artificial intelligence. Machine learning algorithms create a model based on sample data, referred to as "training data," in order to make predictions or judgments without being explicitly programmed. Machine learning algorithms are utilized in a wide range of applications, including medicine, email filtering, speech recognition, and computer vision, where developing traditional algorithms to do the required tasks is difficult or impossible.

However, not all machine learning is statistical learning. A subset of machine learning is strongly related to computational statistics, which focuses on making predictions using computers. The discipline of machine learning benefits from the study of mathematical optimization since it provides tools, theory, and application domains. Data mining is a similar branch of research that focuses on unsupervised learning for exploratory data analysis. Data and neural networks are used in some machine learning implementations to replicate the functioning of a biological brain. Machine learning is also known as predictive analytics when it is used to solve business challenges.

Arthur Samuel, an American IBMer and pioneer in the fields of computer games and artificial intelligence, created the phrase machine learning in 1959. Nilsson's book on Learning Machines, which dealt mostly with machine learning for pattern categorization, was a representative book of machine learning research in the 1960s. As stated by Duda and Hart in 1973, interest in pattern recognition lasted well into the 1970s. A report on employing teaching methodologies to teach a neural network to recognize 40 characters from a computer terminal was published in 1981.

Salary Range of An Machine Learning Professional

Depending on the experience level and the demographic area, the salary of a Machine Learning Professional varies widely.

The following is the average Machine Learning Professional Salary in USA:

The following is the average Machine Learning Professional Salary in India:

What Is Machine Learning Certification?

Machine Learning Certification assesses a person's knowledge of the machine learning as well as their understanding of digital concepts. A variety of certifying authorities, ranging from government agencies to commercial enterprises and organisations, offer the Machine Learning certification. Certifications are normally obtained by the completion of an online or offline exam.

All certificates have their own set of benefits, such as international recognition, career opportunities, freelancing, and so on. So, Machine Learning certification is an online exam that evaluates a Professional's skills and knowledge in order to match them with the suitable opportunities.

Why should you take this Online Machine Learning Certification?

The online Machine Learning certification from Loopskill will assist you in becoming a certified Professional. You can take this exam and by scoring 70% you will become an internationally certified Machine Learning Professional. This certification will help you in three different ways:

• You can demonstrate your Machine Learning certification to potential employers and can stand out of the crowd.
• You can apply for great jobs using loopskill website or app; moreover, our partners companies will contact you directly for full-time or part-time opportunities depending on your skills & requirements.
• Loopskill is not just a platform to get certified or to find full time jobs; here being a certified Professional you can also do freelancing for the clients around the globe. You will be approached by the clients who need your help in building some web based platform or some app based platform.

The loopskill’s online Machine Learning certification is created to help people in exploring and achieving their full potential so they can get connected to the best opportunities around the globe.

Machine Learning Application

1: Astronomy and Machine Learning

Machine Learning (AI) can be extremely helpful in resolving complicated challenges in the universe. AI technology can assist in gaining a better understanding of the cosmos, including how it operates, its origin, and so on.

2. AI in the Medical Field

In the previous five to ten years, AI has become more beneficial to the healthcare business and is expected to have a big impact.

AI is being used in the healthcare industry to make better and faster diagnoses than humans. AI can assist doctors with diagnosis and can alert doctors when a patient's condition is deteriorating so that medical assistance can be provided before the patient is admitted to the hospital.

3. AI in Video Games

AI can be employed in video games. AI machines can play strategic games like chess, in which the system must consider a vast number of different options.

4. AI in Finance

The finance and AI businesses are the best of friends. Automation, chatbots, adaptive intelligence, algorithm trading, and machine learning are all being used in financial activities.

5. Machine Learning in Data Security

Data security is critical for every business, and cyber-attacks are on the rise in the digital age. AI can help you keep your data safe and secure. Some examples are the AEG bot and the AI2 Platform, which are used to better determine software bugs and cyber-attacks.

6. Machine Learning in Social Media

Facebook, Twitter, and Snapchat, for example, have billions of user accounts that must be kept and handled in a very efficient manner. AI has the ability to organize and manage large volumes of data. AI can go through a large amount of data to find the most recent trends, hashtags, and user requirements.

7. AI in Tourism and Transportation

AI is becoming increasingly popular in the travel industry. AI is capable of doing a variety of travel-related tasks, including making travel arrangements and recommending hotels, flights, and the best routes to customers. The travel industry is utilizing AI-powered chatbots that can engage with clients in a human-like manner to provide better and faster service.

8. Machine Learning in the Automotive Industry

Some automotive companies are utilizing Machine Learning to provide a virtual assistant to their users in order to improve performance. Tesla, for example, has released TeslaBot, an intelligent virtual assistant. Various industries are presently working on self-driving automobiles that will make your ride safer and more secure.

9. Machine Learning in Robotics:

Machine Learning plays a significant part in robotics. Typically, conventional robots are programmed to execute a repetitive task; but, using AI, we may construct intelligent robots that can perform tasks based on their own experiences rather than being pre-programmed.

Humanoid Robots are the best instances of AI in robotics; recently, the intelligent Humanoid Robots Erica and Sophia were built, and they can converse and behave like people.

10. AI in Entertainment

We are now using certain AI-based applications in our daily lives, such as Netflix or Amazon. These services display software or show recommendations using machine learning/Machine Learning (ML/AI) algorithms.

11. Agriculture and Machine Learning

Agriculture is a field that necessitates a variety of resources, including effort, money, and time, in order to get the greatest results. Agriculture is becoming more computerized these days, and AI is becoming more prevalent in this industry. AI is being used in agriculture in the form of agriculture robotics, solid and crop monitoring, and predictive analysis. AI in agriculture has the potential to be extremely beneficial to farmers.

12. Machine Learning in E-Commerce

AI is giving the e-commerce industry a competitive advantage, and it is becoming increasingly demanded in the market. Shoppers can use AI to find related products in their preferred size, color, or brand.

13. Machine Learning in education:

AI can automate grading, giving the tutor more time to educate. As a teaching assistant, an AI chatbot can communicate with students.

In the future, AI could serve as a personal virtual tutor for pupils, available at any time and from any location.

Important Topics to Learn & Master in Machine Learning

• Introduction To Python
• Case Python Concepts
• Python Numpy Concepts
• Python Pandas Concepts
• Fundamentals of Machine Learning
• Artificial intelligence vs machine learning
• Supervised learning
• Unsupervised learning
• Reinforcement Learning
• Scikit Learn Library
• Advance Supervised learning concepts like random forest , neural network etc.
• Predictive Modelling Concepts
• Different Phases of Predictive Modelling

Future of Machine Learning

In the post-industrialized age, scientists and specialists have been attempting to construct a computer that acts more like humans. The thought machine is AI's greatest gift to humanity; the incredible arrival of this self-propelled machine has quickly changed company operational regulations. Smart machines have lately been demonstrated through self-driving automobiles, automated assistants, autonomous factory workers, and smart cities. The machine learning revolution, as well as the future of machine learning, will be with us for a long time.

"Machine Learning is the future," Google declares, and the future of Machine Learning is very bright. As people become increasingly reliant on robots, we are witnessing a new revolution that is sweeping the globe, which will be the future of Machine Learning.

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