Master Artificial Intelligence 2022 : Build 6 AI Projects by Data Is Good Academy
The Master Artificial Intelligence 2022 : Build 6 AI Projects course is undoubtedly the most interesting and the most sought after by those seeking to specialize in Development.
Learn Artificial Intelligence with Python. Create Advanced Artificial Intelligence (AI) Applications with Python
Also, keep in mind that Data Is Good Academy, professor of the course, is an excellent professional with worldwide recognition.
Therefore, if you want to study and learn more, we recommend that you start this udemy course right now.
What is the Master Artificial Intelligence 2022 : Build 6 AI Projects course about?
Are you ready to master Artificial Intelligence skills? Artificial intelligence ( AI ) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. These machines are able to learn with experience and perform human-like tasks. As technologies such as AI continue to grow, they will have a great impact on our quality of life. Artificial intelligence ( AI ) is one of the top tech fields to be in right now! Financial institutions, legal institutions, media companies, and insurance companies are all figuring out ways to use artificial intelligence (ai) to their advantage. From fraud detection to writing news stories with natural language processing(NLP) and reviewing law briefs, AI’s reach is extensive. If you want to build super-powerful applications in artificial intelligence(ai). Then, you are at the right place. This course will provide you with in-depth knowledge on a very hot topic i.e., Artificial Intelligence(AI) . The purpose of this course is to provide you with knowledge of key aspects of modern AI without any intimidating mathematics and in a practical, easy, and fun way. The course provides students with practical hands-on experience using real-world datasets. This course will cover the following topics:- 1. Natural Language Processing (NLP). 2. Artificial Neural Network (ANN). 3. Convolutional Neural Network (CNN). 4. Recurrent Neural Network. (RCN) 5. Machine Learning (ML). 6. Deep Learning (DL). This course will take you through the basics to an advanced level in all the mentioned four topics. After taking this course, you will be confident enough to work independently on any projects on these topics. There are lots and lots of exercises for you to practice In this Python Data Science Course and also a 5 Bonus Data Science Project ” Sentiment Analysis “, ” Drug Prescription “, ” Detecting Pneumonia from X-rays “, ” Stock Market Prediction”, “Fruits Recognition” and ” Face emotion Recognition “. In this Sentiment Analysis project, you will learn how to Extract and Scrap Data from Social Media Websites and Extract out Beneficial Information from these Data for Driving Huge Business Insights. In this Drug Prescription project, you will learn how to Deal with Data having Textual Features, you will also learn NLP Techniques to transform and Process the Data to find out Important Insights. In this Detecting Pneumonia from X-rays project, you will learn how to solve Image Classification Tasks using Deep Neural Networks such as ResNet which is a High Level CNN Architectures. In this Stock Market Prediction project, you will learn to analyze and the Stock Market Prices using Time Series Forecasting, Advanced Deep Learning Models and different Statistical features. In this Fruits Recognition project, you will learn how to solve a complicated Image Classification Task with Multiple Classes using various Deep Learning Architectures and Compare the Result. In this Face Expression Recognizer project, you will learn to use Computer Vision Techniques to detect Human Emotions such as Angry, Sad, Happy, Disgust, Fear etc. to build a Facial Emotion Detector. Instructor Support – Quick Instructor Support for any queries. I’m looking forward to see you in the course! You will have access to all the resources used in this course.
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