Reading list: Looking into the Real-World Applications of Machine Learning
Machine learning is a part of artificial intelligence and computer science. It involves data usage and algorithms to copy human behavior of learning things all the while staying in the process of improving accuracy. With the influx in the use of artificial intelligence, the need for competent machine learning professionals is on a constant rise. As a result, prestigious educational institutes have taken up the responsibility of providing both offline and best machine learning courses online. The combination of machine learning and artificial intelligence along with modern creative thinking has produced several real-world applications that benefit society in unimaginable ways. Below-mentioned applications are some of the tested machine learning examples to help aspirants understand the vast areas of ML and AI applications.

**Global Translation**

One of the most used applications for travelers is automatic language translation. It uses the sequence-to-sequence learning algorithm that is implemented in image recognition. With the help of the specified process, a specific language text can be translated into the selected language. Automated language translation is an example of the study and implementation of offline and the best machine learning courses online. Google’s Neural Machine Translation (GNMT) uses the same process to decipher user-unknown language into languages that can be understood by the user. It is one of the most popular and favored machine learning applications that focuses on making people’s lives easier.

**Image Recognition**

Out of all the machine learning applications, image recognition is by far the most commonly availed application. The application works on a sequence-to-sequence understanding algorithm and is used to recognize places, people, objects, etc. Facebook’s automatic friend tagging feature is an example of image recognition where Facebook’s “Deep Face” is used to identify faces in pictures. The best machine learning courses online teach students the application of different algorithms that can have a revolutionary effect on mankind. Image recognition is also used by different public security agencies worldwide to effectively identify culprits and targets inside a huge crowd.

**Medical Diagnosis**

The knowledge provided in the best machine learning courses online and offline helps the medical sector noticeably. Machine learning methods can be of use to safely diagnose diseases inside a patient’s body. With the assistance of machine learning, medical technology is improving at a rapid pace. Concerned people can build 3D models that can predict clots and lesions in the brain with pinpoint accuracy. Machine learning has proven to be useful in detecting brain tumors and various brain-related diseases. The implementation of machine learning in medical diagnosis has helped mankind in leading a better life.

**Stock Market Trading**

Long short memory neural network is used to predict market trends that can help in minimizing financial risks for people. It uses the above-mentioned procedure to identify stock trends and share suggestions accordingly. The knowledge derived from the best machine learning courses online and offline has enabled ML engineers in inventing stock market predictors that have expert-level prediction accuracy. The recent technological advancements are the reasons behind the rise of machine learning courses worldwide especially in second-world countries.

**Online Fraud Detection**

The effort of applying machine learning has assisted in securing online transactions. Online fraud detection uses Feed Forward Neural Network (FFNN) to check the authenticity of any transaction. Several fraudulent entities exist in online portals that prey on unaware people by stealing money through fake transactions, IDs, accounts, etc. Online fraud detection helps by identifying and red-flagging such online entities and it is possible due to the best machine learning courses online and offline. In every authentic transaction, the output is changed into hash values that are used as inputs for the upcoming round. A pattern is formed during genuine transactions that change during fraudulent transactions and can be easily detected by the application.

**Virtual Assistant**

Virtual assistants have been helpful since its implementation in several digital platforms. It uses ML algorithms taught in the best machine learning courses online and offline to decipher users' needs and implement actions accordingly. Assistants like Cortana, Siri, Alexa, etc assist people by following voice commands to find valuable information or implement user-specific actions.

**Self Driving Cars**

One of the most interesting applications derived from the studies of best machine learning courses online and offline is self-driving cars. Unsupervised machine learning is used to train car models to detect objects, cars, and people on the road and apply maneuver techniques according to the road situation. Tesla's self-driven cars are an example of unsupervised machine learning methods put to use.

**Product Recommendations**

Several e-commerce websites use machine learning tools for suggesting different products to people visiting these websites. Amazon, Flipkart, and other e-commerce websites accumulate users' search history and list many relevant products and present them in front of the users' screens to maximize purchases and increase sales numbers in the process. The use of machine learning procedures can be seen in different online video streaming platforms where recommendations and suggestions appear according to the watch history and search history of the user.

**Speech Recognition**

Another commonly used machine learning entity is speech recognition. The application uses specific ML methods to decipher speech-to-text and search by voice actions to effectively execute the user’s commands. Google Assistant, Siri, Alexa, and other virtual personal assistants use speech recognition to search and present user-specific information.

**Traffic Management**

When it comes to traffic management, ML tools are used in Google Maps or other online mapping applications. The method uses live traffic data and curates the most safest and time-saving routes for the users. The knowledge provided in the best machine learning courses online and offline is the reason behind the invention of traffic prediction and it provides accurate intel on live traffic and estimated time for journey completion.

**Conclusion**

The aforementioned applications are some of the popular domains made accessible for employment exclusively through the best machine learning courses online. Today, technology and innovation are at the forefront of societal evolution and the implementation of artificial intelligence and machine learning methods has assisted people in living much easier lives than before.