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Top 10 Machine Learning Algorithms for Beginners
Machine learning, a pivotal facet of artificial intelligence, has emerged as a transformative force, reshaping how we approach complex challenges and make informed decisions. In this age of data abundance, the role of machine learning algorithms cannot be overstated. These algorithms, like guiding beacons, illuminate the path to gleaning patterns from data and making accurate predictions.
For those starting to understand and study machine learning, understanding the fundamental machine learning algorithms is an essential first step. In this article, we will introduce you to machine learning algorithms, elucidate their varied types, and underscore how acquiring proficiency in these algorithms can amplify your competence in this field.
To gain further expertise in this field, you can also go through the list of Online Machine Learning Courses and Certifications listed on our our website.
What are Machine Learning Algorithms?
Machine learning algorithms are sets of rules that enable computers to learn and make predictions or decisions based on data. They are fundamental tools in machine learning and are vital for both beginners and experienced practitioners.
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Types of Machine Learning Algorithms
Machine learning algorithms can be broadly categorised into three types: supervised learning, unsupervised learning, and reinforcement learning. In this article, we will focus on supervised machine learning types of algorithms, specifically those used for classification and regression tasks.
1. Supervised Learning Algorithms: In supervised learning, the algorithm is trained on labelled data.What this means is that you already know what each data column means and represents. It learns from this data and can make predictions or classifications on new, unseen data. Examples include Linear Regression, Decision Trees, and Support Vector Machines.
2. Unsupervised Learning Algorithms: Unsupervised learning deals with unlabeled data. The algorithm aims to discover patterns, clusters, or structures within the data. Common unsupervised algorithms are K-Means Clustering and Principal Component Analysis (PCA).
3. Reinforcement Learning Algorithms: Reinforcement learning focuses on training agents to take actions in an environment to maximise rewards. Popular algorithms include Q-Learning and Deep Q Networks (DQN).
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List of Machine Learning Algorithms
Now, let us dive into the machine learning algorithms list that every beginner should be familiar with:
Machine Learning Classification Algorithms: Classification algorithms are used to categorise data into different classes or groups. These algorithms include decision trees, support vector machines, and k-nearest neighbours.
Linear Regression: Linear regression is a fundamental algorithm for supervised learning. It is used in scenarios where you want to predict a continuous numeric value based on input features. The algorithm fits a linear equation to the data, creating a straight line that best represents the relationship between the features and the target variable. This is commonly employed in applications like predicting house prices based on features like size, location, and number of bedrooms.
Logistic Regression: Unlike linear regression, logistic regression is used for binary classification tasks. It estimates the probability that a given input belongs to a particular category. For instance, it is used in spam email detection, where it predicts whether an email is spam (1) or not (0) based on its features. Here is a quick python code on the actual implementation of Logistic Regression.
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, confusion_matrix, classification_report
import numpy as np
# First begin by generating your sample data
X, y = np.random.rand(100, 2), (X[:, 0] + 2 * X[:, 1] > 1).astype(int)
# Split the data into train and test
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
# Fit the logistic regression model
model = LogisticRegression().fit(X_train, y_train)
# Make predictions
y_pred = model.predict(X_test)
# Evaluate the results
accuracy = accuracy_score(y_test, y_pred)
confusion = confusion_matrix(y_test, y_pred)
classification_rep = classification_report(y_test, y_pred)
print(f"Accuracy: {accuracy}\nConfusion Matrix:\n{confusion}\nClassification Report:\n{classification_rep}")
Decision Trees: Decision Tree Algorithm in Machine Learning are versatile and easy-to-understand algorithms used in both classification and regression tasks. They work by splitting the data into subsets based on the most significant attribute at each node. The tree structure allows for visual interpretation and insight into how decisions are made. Decision trees are used in areas such as customer churn prediction, credit scoring, and medical diagnosis.
Random Forest: Random Forest is an ensemble method that combines multiple decision trees to improve accuracy and reduce overfitting. It is known for its robustness and versatility. By aggregating predictions from various trees, it often provides more accurate results. Random Forest is commonly applied in areas like image classification and anomaly detection.
Support Vector Machines (SVM): SVM is a powerful algorithm for classification tasks. It aims to find the optimal hyperplane that best separates data points into different classes. SVM is effective in scenarios like image classification, text classification, and hand-written digit recognition.
K-Nearest Neighbors (KNN): KNN is a simple yet effective algorithm for both classification and regression tasks. It works based on the proximity of data points. In classification, it assigns the class that is most common among the k-nearest neighbours. KNN is used in recommendation systems, image recognition, and more.
K-Means Clustering: K-Means is a popular unsupervised algorithm for clustering data into distinct groups. It groups data points based on their similarity and is widely used in customer segmentation, anomaly detection, and image compression.
Principal Component Analysis (PCA): PCA is an unsupervised algorithm used for dimensionality reduction and feature extraction. It transforms high-dimensional data into a lower-dimensional representation, reducing complexity while preserving important information. PCA is applied in fields like image recognition and data compression.
Naïve Bayes: Naïve Bayes is a probabilistic algorithm primarily used for text classification tasks. It is based on Bayes' theorem and makes the "naïve" assumption of independence among features. It is frequently employed in applications like spam detection and sentiment analysis.
Neural Networks: Neural networks, particularly deep learning, represent a versatile and powerful approach to various machine learning tasks. These networks consist of interconnected layers of nodes that can learn complex patterns in data. Neural networks are widely used in image recognition, natural language processing, autonomous vehicles, and more.
Learning these essential ML algorithms is a crucial step in becoming proficient in machine learning. It empowers you to address a variety of problems, interpret algorithm results, and build a strong foundation for deeper machine learning exploration.
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Machine Learning Algorithms Categories
Machine learning algorithms are often categorised based on their applications and functions. These categories include classification, regression, clustering, dimensionality reduction, and more.
Machine Learning Algorithms in Data Science
Machine learning is at the heart of data science. By understanding and applying machine learning algorithms, data scientists can unlock valuable insights from data, make data-driven decisions, and create predictive models.
Algorithm Used in Machine Learning
The choice of algorithm in machine learning depends on the specific problem you are trying to solve. Different algorithms are suited for different tasks, and understanding their strengths and weaknesses is crucial for making the right choice.
How Learning These Vital Algorithms Can Enhance Your Skills in Machine Learning
Learning these essential algorithms is a crucial step in becoming proficient in machine learning. Here is how it can enhance your skills:
- Problem-Solving: Each algorithm addresses specific types of problems. Knowing when to apply which algorithm is a critical skill.
- Interpretation: Understanding the inner workings of these algorithms allows you to interpret their results and validate their outputs.
- Versatility: These algorithms form the building blocks for more advanced techniques. Mastering them provides a strong foundation for exploring deeper aspects of machine learning.
Related: Machine Learning Certification Courses by Top Providers
- Udacity Machine Learning Certification Courses
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- Coursera Machine Learning Certification Courses
- IBM Machine Learning Certification Courses
- Google Machine Learning Certification Courses
- EDX Machine Learning Certification Courses
Conclusion
As a beginner in machine learning, all machine learning algorithms mentioned above provide you with a solid foundation. They are relatively easy to understand and implement, making them ideal for those starting their machine learning journey.
Machine learning is an exciting field with immense potential to transform industries and drive innovation. By mastering the top 10 machine learning algorithms and choosing the right learning program, you will be well on your way to making valuable contributions in this ever-evolving field. Whether you are interested in data analysis, predictive modelling, or AI development, these algorithms will be your trusty companions in the world of machine learning.
Frequently Asked Question (FAQs)
Machine learning algorithms are sets of rules that enable computers to learn and make predictions or decisions based on data. They are vital for beginners because they provide the foundation for solving real-world problems by extracting patterns from data and making informed decisions.
The choice of the algorithm depends on the nature of your data and the problem you are trying to solve. For example, if you are predicting a continuous value, linear regression might be suitable. Understanding the strengths and weaknesses of each algorithm is key to making the right choice.
No, these algorithms are accessible to anyone interested in machine learning. While programming skills are helpful, many tools and platforms offer user-friendly interfaces for beginners. Learning these algorithms can benefit a wide range of professionals, from marketers to healthcare practitioners.
Many online platforms offer courses, tutorials, and certifications in machine learning. Consider platforms like Coursera, edX, Udacity, Fast.ai, and Kaggle. These resources cater to various skill levels, from beginners to advanced learners.
Mastering these algorithms will empower you to tackle complex data-driven problems in your career or personal projects. It will enable you to make data-driven decisions, automate tasks, and create predictive models that can benefit industries from finance to healthcare.
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Data Administrator
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Bio Medical Engineer
The field of biomedical engineering opens up a universe of expert chances. An Individual in the biomedical engineering career path work in the field of engineering as well as medicine, in order to find out solutions to common problems of the two fields. The biomedical engineering job opportunities are to collaborate with doctors and researchers to develop medical systems, equipment, or devices that can solve clinical problems. Here we will be discussing jobs after biomedical engineering, how to get a job in biomedical engineering, biomedical engineering scope, and salary.
Ethical Hacker
A career as ethical hacker involves various challenges and provides lucrative opportunities in the digital era where every giant business and startup owns its cyberspace on the world wide web. Individuals in the ethical hacker career path try to find the vulnerabilities in the cyber system to get its authority. If he or she succeeds in it then he or she gets its illegal authority. Individuals in the ethical hacker career path then steal information or delete the file that could affect the business, functioning, or services of the organization.
GIS Expert
GIS officer work on various GIS software to conduct a study and gather spatial and non-spatial information. GIS experts update the GIS data and maintain it. The databases include aerial or satellite imagery, latitudinal and longitudinal coordinates, and manually digitized images of maps. In a career as GIS expert, one is responsible for creating online and mobile maps.
Data Analyst
The invention of the database has given fresh breath to the people involved in the data analytics career path. Analysis refers to splitting up a whole into its individual components for individual analysis. Data analysis is a method through which raw data are processed and transformed into information that would be beneficial for user strategic thinking.
Data are collected and examined to respond to questions, evaluate hypotheses or contradict theories. It is a tool for analyzing, transforming, modeling, and arranging data with useful knowledge, to assist in decision-making and methods, encompassing various strategies, and is used in different fields of business, research, and social science.
Geothermal Engineer
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Database Architect
If you are intrigued by the programming world and are interested in developing communications networks then a career as database architect may be a good option for you. Data architect roles and responsibilities include building design models for data communication networks. Wide Area Networks (WANs), local area networks (LANs), and intranets are included in the database networks. It is expected that database architects will have in-depth knowledge of a company's business to develop a network to fulfil the requirements of the organisation. Stay tuned as we look at the larger picture and give you more information on what is db architecture, why you should pursue database architecture, what to expect from such a degree and what your job opportunities will be after graduation. Here, we will be discussing how to become a data architect. Students can visit NIT Trichy, IIT Kharagpur, JMI New Delhi.
Remote Sensing Technician
Individuals who opt for a career as a remote sensing technician possess unique personalities. Remote sensing analysts seem to be rational human beings, they are strong, independent, persistent, sincere, realistic and resourceful. Some of them are analytical as well, which means they are intelligent, introspective and inquisitive.
Remote sensing scientists use remote sensing technology to support scientists in fields such as community planning, flight planning or the management of natural resources. Analysing data collected from aircraft, satellites or ground-based platforms using statistical analysis software, image analysis software or Geographic Information Systems (GIS) is a significant part of their work. Do you want to learn how to become remote sensing technician? There's no need to be concerned; we've devised a simple remote sensing technician career path for you. Scroll through the pages and read.
Budget Analyst
Budget analysis, in a nutshell, entails thoroughly analyzing the details of a financial budget. The budget analysis aims to better understand and manage revenue. Budget analysts assist in the achievement of financial targets, the preservation of profitability, and the pursuit of long-term growth for a business. Budget analysts generally have a bachelor's degree in accounting, finance, economics, or a closely related field. Knowledge of Financial Management is of prime importance in this career.
Data Analyst
The invention of the database has given fresh breath to the people involved in the data analytics career path. Analysis refers to splitting up a whole into its individual components for individual analysis. Data analysis is a method through which raw data are processed and transformed into information that would be beneficial for user strategic thinking.
Data are collected and examined to respond to questions, evaluate hypotheses or contradict theories. It is a tool for analyzing, transforming, modeling, and arranging data with useful knowledge, to assist in decision-making and methods, encompassing various strategies, and is used in different fields of business, research, and social science.
Underwriter
An underwriter is a person who assesses and evaluates the risk of insurance in his or her field like mortgage, loan, health policy, investment, and so on and so forth. The underwriter career path does involve risks as analysing the risks means finding out if there is a way for the insurance underwriter jobs to recover the money from its clients. If the risk turns out to be too much for the company then in the future it is an underwriter who will be held accountable for it. Therefore, one must carry out his or her job with a lot of attention and diligence.
Product Manager
A Product Manager is a professional responsible for product planning and marketing. He or she manages the product throughout the Product Life Cycle, gathering and prioritising the product. A product manager job description includes defining the product vision and working closely with team members of other departments to deliver winning products.
Operations Manager
Individuals in the operations manager jobs are responsible for ensuring the efficiency of each department to acquire its optimal goal. They plan the use of resources and distribution of materials. The operations manager's job description includes managing budgets, negotiating contracts, and performing administrative tasks.
Stock Analyst
Individuals who opt for a career as a stock analyst examine the company's investments makes decisions and keep track of financial securities. The nature of such investments will differ from one business to the next. Individuals in the stock analyst career use data mining to forecast a company's profits and revenues, advise clients on whether to buy or sell, participate in seminars, and discussing financial matters with executives and evaluate annual reports.
Researcher
A Researcher is a professional who is responsible for collecting data and information by reviewing the literature and conducting experiments and surveys. He or she uses various methodological processes to provide accurate data and information that is utilised by academicians and other industry professionals. Here, we will discuss what is a researcher, the researcher's salary, types of researchers.
Welding Engineer
Welding Engineer Job Description: A Welding Engineer work involves managing welding projects and supervising welding teams. He or she is responsible for reviewing welding procedures, processes and documentation. A career as Welding Engineer involves conducting failure analyses and causes on welding issues.
Transportation Planner
A career as Transportation Planner requires technical application of science and technology in engineering, particularly the concepts, equipment and technologies involved in the production of products and services. In fields like land use, infrastructure review, ecological standards and street design, he or she considers issues of health, environment and performance. A Transportation Planner assigns resources for implementing and designing programmes. He or she is responsible for assessing needs, preparing plans and forecasts and compliance with regulations.
Environmental Engineer
Individuals who opt for a career as an environmental engineer are construction professionals who utilise the skills and knowledge of biology, soil science, chemistry and the concept of engineering to design and develop projects that serve as solutions to various environmental problems.
Safety Manager
A Safety Manager is a professional responsible for employee’s safety at work. He or she plans, implements and oversees the company’s employee safety. A Safety Manager ensures compliance and adherence to Occupational Health and Safety (OHS) guidelines.
Conservation Architect
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Structural Engineer
A Structural Engineer designs buildings, bridges, and other related structures. He or she analyzes the structures and makes sure the structures are strong enough to be used by the people. A career as a Structural Engineer requires working in the construction process. It comes under the civil engineering discipline. A Structure Engineer creates structural models with the help of computer-aided design software.
Highway Engineer
Highway Engineer Job Description: A Highway Engineer is a civil engineer who specialises in planning and building thousands of miles of roads that support connectivity and allow transportation across the country. He or she ensures that traffic management schemes are effectively planned concerning economic sustainability and successful implementation.
Field Surveyor
Are you searching for a Field Surveyor Job Description? A Field Surveyor is a professional responsible for conducting field surveys for various places or geographical conditions. He or she collects the required data and information as per the instructions given by senior officials.
Orthotist and Prosthetist
Orthotists and Prosthetists are professionals who provide aid to patients with disabilities. They fix them to artificial limbs (prosthetics) and help them to regain stability. There are times when people lose their limbs in an accident. In some other occasions, they are born without a limb or orthopaedic impairment. Orthotists and prosthetists play a crucial role in their lives with fixing them to assistive devices and provide mobility.
Pathologist
A career in pathology in India is filled with several responsibilities as it is a medical branch and affects human lives. The demand for pathologists has been increasing over the past few years as people are getting more aware of different diseases. Not only that, but an increase in population and lifestyle changes have also contributed to the increase in a pathologist’s demand. The pathology careers provide an extremely huge number of opportunities and if you want to be a part of the medical field you can consider being a pathologist. If you want to know more about a career in pathology in India then continue reading this article.
Gynaecologist
Gynaecology can be defined as the study of the female body. The job outlook for gynaecology is excellent since there is evergreen demand for one because of their responsibility of dealing with not only women’s health but also fertility and pregnancy issues. Although most women prefer to have a women obstetrician gynaecologist as their doctor, men also explore a career as a gynaecologist and there are ample amounts of male doctors in the field who are gynaecologists and aid women during delivery and childbirth.
Audiologist
The audiologist career involves audiology professionals who are responsible to treat hearing loss and proactively preventing the relevant damage. Individuals who opt for a career as an audiologist use various testing strategies with the aim to determine if someone has a normal sensitivity to sounds or not. After the identification of hearing loss, a hearing doctor is required to determine which sections of the hearing are affected, to what extent they are affected, and where the wound causing the hearing loss is found. As soon as the hearing loss is identified, the patients are provided with recommendations for interventions and rehabilitation such as hearing aids, cochlear implants, and appropriate medical referrals. While audiology is a branch of science that studies and researches hearing, balance, and related disorders.
Oncologist
An oncologist is a specialised doctor responsible for providing medical care to patients diagnosed with cancer. He or she uses several therapies to control the cancer and its effect on the human body such as chemotherapy, immunotherapy, radiation therapy and biopsy. An oncologist designs a treatment plan based on a pathology report after diagnosing the type of cancer and where it is spreading inside the body.
Anatomist
Are you searching for an ‘Anatomist job description’? An Anatomist is a research professional who applies the laws of biological science to determine the ability of bodies of various living organisms including animals and humans to regenerate the damaged or destroyed organs. If you want to know what does an anatomist do, then read the entire article, where we will answer all your questions.
Actor
For an individual who opts for a career as an actor, the primary responsibility is to completely speak to the character he or she is playing and to persuade the crowd that the character is genuine by connecting with them and bringing them into the story. This applies to significant roles and littler parts, as all roles join to make an effective creation. Here in this article, we will discuss how to become an actor in India, actor exams, actor salary in India, and actor jobs.
Acrobat
Individuals who opt for a career as acrobats create and direct original routines for themselves, in addition to developing interpretations of existing routines. The work of circus acrobats can be seen in a variety of performance settings, including circus, reality shows, sports events like the Olympics, movies and commercials. Individuals who opt for a career as acrobats must be prepared to face rejections and intermittent periods of work. The creativity of acrobats may extend to other aspects of the performance. For example, acrobats in the circus may work with gym trainers, celebrities or collaborate with other professionals to enhance such performance elements as costume and or maybe at the teaching end of the career.
Video Game Designer
Career as a video game designer is filled with excitement as well as responsibilities. A video game designer is someone who is involved in the process of creating a game from day one. He or she is responsible for fulfilling duties like designing the character of the game, the several levels involved, plot, art and similar other elements. Individuals who opt for a career as a video game designer may also write the codes for the game using different programming languages.
Depending on the video game designer job description and experience they may also have to lead a team and do the early testing of the game in order to suggest changes and find loopholes.
Radio Jockey
Radio Jockey is an exciting, promising career and a great challenge for music lovers. If you are really interested in a career as radio jockey, then it is very important for an RJ to have an automatic, fun, and friendly personality. If you want to get a job done in this field, a strong command of the language and a good voice are always good things. Apart from this, in order to be a good radio jockey, you will also listen to good radio jockeys so that you can understand their style and later make your own by practicing.
A career as radio jockey has a lot to offer to deserving candidates. If you want to know more about a career as radio jockey, and how to become a radio jockey then continue reading the article.
Choreographer
The word “choreography" actually comes from Greek words that mean “dance writing." Individuals who opt for a career as a choreographer create and direct original dances, in addition to developing interpretations of existing dances. A Choreographer dances and utilises his or her creativity in other aspects of dance performance. For example, he or she may work with the music director to select music or collaborate with other famous choreographers to enhance such performance elements as lighting, costume and set design.
Social Media Manager
A career as social media manager involves implementing the company’s or brand’s marketing plan across all social media channels. Social media managers help in building or improving a brand’s or a company’s website traffic, build brand awareness, create and implement marketing and brand strategy. Social media managers are key to important social communication as well.
Photographer
Photography is considered both a science and an art, an artistic means of expression in which the camera replaces the pen. In a career as a photographer, an individual is hired to capture the moments of public and private events, such as press conferences or weddings, or may also work inside a studio, where people go to get their picture clicked. Photography is divided into many streams each generating numerous career opportunities in photography. With the boom in advertising, media, and the fashion industry, photography has emerged as a lucrative and thrilling career option for many Indian youths.
Producer
An individual who is pursuing a career as a producer is responsible for managing the business aspects of production. They are involved in each aspect of production from its inception to deception. Famous movie producers review the script, recommend changes and visualise the story.
They are responsible for overseeing the finance involved in the project and distributing the film for broadcasting on various platforms. A career as a producer is quite fulfilling as well as exhaustive in terms of playing different roles in order for a production to be successful. Famous movie producers are responsible for hiring creative and technical personnel on contract basis.
Copy Writer
In a career as a copywriter, one has to consult with the client and understand the brief well. A career as a copywriter has a lot to offer to deserving candidates. Several new mediums of advertising are opening therefore making it a lucrative career choice. Students can pursue various copywriter courses such as Journalism, Advertising, Marketing Management. Here, we have discussed how to become a freelance copywriter, copywriter career path, how to become a copywriter in India, and copywriting career outlook.
Vlogger
In a career as a vlogger, one generally works for himself or herself. However, once an individual has gained viewership there are several brands and companies that approach them for paid collaboration. It is one of those fields where an individual can earn well while following his or her passion.
Ever since internet costs got reduced the viewership for these types of content has increased on a large scale. Therefore, a career as a vlogger has a lot to offer. If you want to know more about the Vlogger eligibility, roles and responsibilities then continue reading the article.
Publisher
For publishing books, newspapers, magazines and digital material, editorial and commercial strategies are set by publishers. Individuals in publishing career paths make choices about the markets their businesses will reach and the type of content that their audience will be served. Individuals in book publisher careers collaborate with editorial staff, designers, authors, and freelance contributors who develop and manage the creation of content.
Journalist
Careers in journalism are filled with excitement as well as responsibilities. One cannot afford to miss out on the details. As it is the small details that provide insights into a story. Depending on those insights a journalist goes about writing a news article. A journalism career can be stressful at times but if you are someone who is passionate about it then it is the right choice for you. If you want to know more about the media field and journalist career then continue reading this article.
Editor
Individuals in the editor career path is an unsung hero of the news industry who polishes the language of the news stories provided by stringers, reporters, copywriters and content writers and also news agencies. Individuals who opt for a career as an editor make it more persuasive, concise and clear for readers. In this article, we will discuss the details of the editor's career path such as how to become an editor in India, editor salary in India and editor skills and qualities.
Reporter
Individuals who opt for a career as a reporter may often be at work on national holidays and festivities. He or she pitches various story ideas and covers news stories in risky situations. Students can pursue a BMC (Bachelor of Mass Communication), B.M.M. (Bachelor of Mass Media), or MAJMC (MA in Journalism and Mass Communication) to become a reporter. While we sit at home reporters travel to locations to collect information that carries a news value.
Corporate Executive
Are you searching for a Corporate Executive job description? A Corporate Executive role comes with administrative duties. He or she provides support to the leadership of the organisation. A Corporate Executive fulfils the business purpose and ensures its financial stability. In this article, we are going to discuss how to become corporate executive.
Multimedia Specialist
A multimedia specialist is a media professional who creates, audio, videos, graphic image files, computer animations for multimedia applications. He or she is responsible for planning, producing, and maintaining websites and applications.
Welding Engineer
Welding Engineer Job Description: A Welding Engineer work involves managing welding projects and supervising welding teams. He or she is responsible for reviewing welding procedures, processes and documentation. A career as Welding Engineer involves conducting failure analyses and causes on welding issues.
Quality Controller
A quality controller plays a crucial role in an organisation. He or she is responsible for performing quality checks on manufactured products. He or she identifies the defects in a product and rejects the product.
A quality controller records detailed information about products with defects and sends it to the supervisor or plant manager to take necessary actions to improve the production process.
Product Manager
A Product Manager is a professional responsible for product planning and marketing. He or she manages the product throughout the Product Life Cycle, gathering and prioritising the product. A product manager job description includes defining the product vision and working closely with team members of other departments to deliver winning products.
QA Lead
A QA Lead is in charge of the QA Team. The role of QA Lead comes with the responsibility of assessing services and products in order to determine that he or she meets the quality standards. He or she develops, implements and manages test plans.
Structural Engineer
A Structural Engineer designs buildings, bridges, and other related structures. He or she analyzes the structures and makes sure the structures are strong enough to be used by the people. A career as a Structural Engineer requires working in the construction process. It comes under the civil engineering discipline. A Structure Engineer creates structural models with the help of computer-aided design software.
Process Development Engineer
The Process Development Engineers design, implement, manufacture, mine, and other production systems using technical knowledge and expertise in the industry. They use computer modeling software to test technologies and machinery. An individual who is opting career as Process Development Engineer is responsible for developing cost-effective and efficient processes. They also monitor the production process and ensure it functions smoothly and efficiently.
AWS Solution Architect
An AWS Solution Architect is someone who specializes in developing and implementing cloud computing systems. He or she has a good understanding of the various aspects of cloud computing and can confidently deploy and manage their systems. He or she troubleshoots the issues and evaluates the risk from the third party.
Azure Administrator
An Azure Administrator is a professional responsible for implementing, monitoring, and maintaining Azure Solutions. He or she manages cloud infrastructure service instances and various cloud servers as well as sets up public and private cloud systems.
Computer Programmer
Careers in computer programming primarily refer to the systematic act of writing code and moreover include wider computer science areas. The word 'programmer' or 'coder' has entered into practice with the growing number of newly self-taught tech enthusiasts. Computer programming careers involve the use of designs created by software developers and engineers and transforming them into commands that can be implemented by computers. These commands result in regular usage of social media sites, word-processing applications and browsers.
Product Manager
A Product Manager is a professional responsible for product planning and marketing. He or she manages the product throughout the Product Life Cycle, gathering and prioritising the product. A product manager job description includes defining the product vision and working closely with team members of other departments to deliver winning products.
Information Security Manager
Individuals in the information security manager career path involves in overseeing and controlling all aspects of computer security. The IT security manager job description includes planning and carrying out security measures to protect the business data and information from corruption, theft, unauthorised access, and deliberate attack
Automation Test Engineer
An Automation Test Engineer job involves executing automated test scripts. He or she identifies the project’s problems and troubleshoots them. The role involves documenting the defect using management tools. He or she works with the application team in order to resolve any issues arising during the testing process.
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