We have covered each and every topic in detail and also learned to apply them to real-world problems. There are lots and lots of exercises for you to practice and also 2 bonus NLP Projects "Sentiment analyzer" and "Drugs Prescription using Reviews". In this Sentiment analyzer 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 Drugs Prescription using Reviews 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. You will make use of all the topics read in this course. You will also have access to all the resources used in this course. Enroll now and become a master in machine learning.

The course takes a top-down approach starting with a few lines of computer code, rather than establishing detailed mathematical notation. The first lesson will guide you through the construction and testing of your own deep learning model.

Whether you are building a machine learning model for research or for a business function, the whole of point of creating a model is to perform inference. Currently, TensorRT provides the most performant way to achieve just that. And TensorRT 8 takes it to the next level. In this article you will discover the latest capabilities of TensorRT8.

In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.

In this hands-on webinar powered by ATH LEAPS, you will be introduced to how ML models and Explainable AI frameworks play a vital role in controlling the risk across domains like BFS and Healthcare. With the help of a real business case from the Finance domain and using open-source data on the current COVID-19 pandemic you will get an opportunity to be familiarised with applying ML models and Explainable AI frameworks for building better predictive models for effective risk mitigation.

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This course is a perfect fit for you. This course will take you to step by step into the world of Natural Language Processing. NLP is a subfield of linguistic, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. It will cover all common and important algorithms and will give you the experience of working on some real-world projects. This course will cover the following topics:- 1. Introduction to NLP. 2. Feature Engineering for NLP. 3. Data Cleaning for NLP. 4. Feature Extraction for NLP. 5. Data Visualization for NLP. 6.

Activation functions are a critical part of the design of a neural network. The choice of activation function in the hidden layer will control how well the network model learns the training dataset. The choice of activation function in the output layer will define the type of predictions the model can make. As such, a careful choice of activation function must be made for each deep learning neural network project. In this tutorial, you will discover how to choose activation functions for neural network models.

Then this course is for you!! This course has been practically and carefully designed by industry experts to offer the best way of learning Data Science and Machine Learning the practical way with hands-on projects throughout the course. This course will help you learn complex Data Science concepts and machine learning algorithms the practical way for easier understanding. We will walk you through step-by-step on each topic explaining each line of code for your understanding. There is going to be a lot of fun, exciting, and robust projects to better understand each concept under each topic.

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