Browse Titles - 119 results
Deep Learning Projects with PyTorch
Step into the world of PyTorch to create deep learning models with the help of real-world examples.
About This Video: Learn to use PyTorch Open Source Deep Learning framework Dive into specific Deep Learning concepts using real-world projects. Build and train neural networks to make them more efficient.
In Detail:...
Step into the world of PyTorch to create deep learning models with the help of real-world examples.
About This Video: Learn to use PyTorch Open Source Deep Learning framework Dive into specific Deep Learning concepts using real-world projects. Build and train neural networks to make them more efficient.
In Detail: PyTorch is a Deep Learning framework that is a boon for researchers and data scientists. It supports Graphic Processing Units and is a...
Step into the world of PyTorch to create deep learning models with the help of real-world examples.
About This Video: Learn to use PyTorch Open Source Deep Learning framework Dive into specific Deep Learning concepts using real-world projects. Build and train neural networks to make them more efficient.
In Detail: PyTorch is a Deep Learning framework that is a boon for researchers and data scientists. It supports Graphic Processing Units and is a platform that provides maximum flexibility and speed. With PyTorch, you can dynamically build neural networks and easily perform advanced Artificial Intelligence tasks. The course starts with the fundamentals of PyTorch and how to use basic commands. Next, you’ll learn about Convolutional Neural Networks (CNN) through an example of image recognition, where you’ll look into images from a machine perspective. The next project shows you how to predict character sequence using Recurrent Neural Networks (RNN) and Long Short Term Memory Network (LSTM). Then you’ll learn to work with autoencoders to detect credit card fraud. After that, it’s time to develop a system using Boltzmann Machines, where you’ll recommend whether to watch a movie or not. We’ll continue with Boltzmann Machines, where you’ll learn to give movie ratings using AutoEncoders. In the end, you’ll get to develop and train a model to recognize a picture or an object from a given image using Deep Learning, where we’ll not only detect the shape, but also the color of the object. By the end of the course, you’ll be able to start using PyTorch to build Deep Learning models by implementing practical projects in the real world. So, grab this course as it will take you through interesting real-world projects to train your first neural nets.
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Ensemble Machine Learning Techniques
Combine multiple machine learning algorithms to build models with higher accuracy.
About This Video: You will get an intuitive understanding of ensemble learning, and we supply practical solutions to real-world problems. Get hands-on with various machine learning techniques along with real-world examples. Get hand...
Combine multiple machine learning algorithms to build models with higher accuracy.
About This Video: You will get an intuitive understanding of ensemble learning, and we supply practical solutions to real-world problems. Get hands-on with various machine learning techniques along with real-world examples. Get hands-on exposure to many different machine learning models, and learn to combine them to solve problems.
In Detail: Ensemble is a powerful...
Combine multiple machine learning algorithms to build models with higher accuracy.
About This Video: You will get an intuitive understanding of ensemble learning, and we supply practical solutions to real-world problems. Get hands-on with various machine learning techniques along with real-world examples. Get hands-on exposure to many different machine learning models, and learn to combine them to solve problems.
In Detail: Ensemble is a powerful way to upgrade your model as it combines models and doesn't assume a single model is the most accurate. But what if we combine these models as a way to drop those limitations to produce a much more powerful classifier or regressor? This course will show you how to combine various models to achieve higher accuracy than base models can. This has been the case in various contests such as Netflix and Kaggle, where the winning solutions used ensemble methods. If you want more than a superficial look at machine learning models and wish to build reliable models, then this course is for you. The code bundle is placed at this link:
https://github.com/PacktPublishing/Ensemble-Machine-Learning-Techniques-
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An Exercise on the JSON Server with an AJAX Practice Application
Learn JSON, practice making XHR requests and receiving responses in JavaScript, and set up a JSON server locally.
About This Video: Practical exercises to help you build interactive applications driven by local JSON DB data. Learn to set up local-hosted JSON server.
In Detail: Are you looking for an easy way to s...
Learn JSON, practice making XHR requests and receiving responses in JavaScript, and set up a JSON server locally.
About This Video: Practical exercises to help you build interactive applications driven by local JSON DB data. Learn to set up local-hosted JSON server.
In Detail: Are you looking for an easy way to set up a local-hosted JSON server? This course is designed to help you set up and learn JSON and AJAX. You'll use it locally on your own...
Learn JSON, practice making XHR requests and receiving responses in JavaScript, and set up a JSON server locally.
About This Video: Practical exercises to help you build interactive applications driven by local JSON DB data. Learn to set up local-hosted JSON server.
In Detail: Are you looking for an easy way to set up a local-hosted JSON server? This course is designed to help you set up and learn JSON and AJAX. You'll use it locally on your own machine and practice working with AJAX and JSON--all from your computer. No CORS errors, no problems; everything will be done locally. This course is designed to help you learn and practice JSON and will walk you through setting up a JSON Server. This will give you a fully functional JSON database that you can use to practice JSON and AJAX.
This course covers the basics of XHR requests in JavaScript and how to GET and POST data. Then, you'll learn how to make XHR requests, see database updates directly in your editor, and view the JSON database. Further, you'll find out more about tools and resources that are used to make XMLHttp Requests in JavaScript. JavaScript Object Notation (or JSON) is an open-standard file format that uses human-readable text to transmit data objects consisting of attribute-value pairs and array data types. It is a very common data format used for an asynchronous browser-server communication, including as a replacement for XML in some AJAX-style systems. By the end of this course, you will have all the knowledge you need to set up JSON locally and AJAX with JavaScript.
INTRODUCTION TO SETTING JSON LOCALLY AND AJAX WITH JAVASCRIPT
JSON server course Introduction
Setup Local JSON DB
Postman Tool for AJAX
Create your HTML elements
Interactive Button
XHR request data
XHR post data to json DB
Exercise: JSON server interface
Exercise: Build Page Comments
Post create new posts
Search JSON server
List Comments
Add Post Comments
Code Review JSON server
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A Front-End Web Developer MasterClass Using HTML, CSS, and JavaScript
Learn HTML, CSS, and JavaScript all in one place, packed with exercises and source code with examples.
About This Video: Learn HTML, CSS and JavaScript all in one course. Learn to create interactive websites from scratch.
In Detail: This course is going to take you on a journey where you’ll learn and practice HT...
Learn HTML, CSS, and JavaScript all in one place, packed with exercises and source code with examples.
About This Video: Learn HTML, CSS and JavaScript all in one course. Learn to create interactive websites from scratch.
In Detail: This course is going to take you on a journey where you’ll learn and practice HTML CSS and JavaScript all in one course. This includes various topics in HTML such as how to write and practice HTML, Heading Tags, Upd...
Learn HTML, CSS, and JavaScript all in one place, packed with exercises and source code with examples.
About This Video: Learn HTML, CSS and JavaScript all in one course. Learn to create interactive websites from scratch.
In Detail: This course is going to take you on a journey where you’ll learn and practice HTML CSS and JavaScript all in one course. This includes various topics in HTML such as how to write and practice HTML, Heading Tags, Update template and lots more. You will be able to understand CSS, Advanced CSS, and Apply CSS in creating a website etc. This course is designed to help you learn and practice front-end coding for website development and design. Source Code and examples are included to get you started quickly. Links to top resources and more all available in one massive course. You will be able to create interactive websites from scratch, and it allows you to become familiar with coding and creating web pages and applications.
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Fundamentals about Multiple Access Technology Towards 6G
Getting Started with Machine Learning in Python
A+ guide to using Machine Learning to classify objects, predict future prices, and automatically learn fixes to problems.
About This Video: Learn about supervised learning: how to classify data points and predict future numbers. Practical exercises on unsupervised learning: how to segment clients and cluster do...
A+ guide to using Machine Learning to classify objects, predict future prices, and automatically learn fixes to problems.
About This Video: Learn about supervised learning: how to classify data points and predict future numbers. Practical exercises on unsupervised learning: how to segment clients and cluster documents. Intuition-driven practical tour through Machine Learning, packed with step-by-step instructions, working examples, and helpful...
A+ guide to using Machine Learning to classify objects, predict future prices, and automatically learn fixes to problems.
About This Video: Learn about supervised learning: how to classify data points and predict future numbers. Practical exercises on unsupervised learning: how to segment clients and cluster documents. Intuition-driven practical tour through Machine Learning, packed with step-by-step instructions, working examples, and helpful advice.
In Detail: Machine Learning is a hot topic. And you want to get involved! From developers to analysts, this course aims to bring Machine Learning to those with coding experience and numerical skills.In this course, we introduce, via intuition rather than theory, the core of what makes Machine Learning work. Learn how to use labeled datasets to classify objects or predict future values, so that you can provide more accurate and valuable analysis. Use unlabelled datasets to do segmentation and clustering, so that you can separate a large dataset into sensible groups.You will learn to understand and estimate the value of your dataset. We guide you through creating the best performance metric for your task at hand, and how that takes you to the correct model to solve your problem. Understand how to clean data for your application, and how to recognize which Machine Learning task you are dealing with. If you want to move past Excel and if-then-else into automatically learned ML solutions, this course is for you!All the code and the supporting files are available on GitHub at - https://github.com/PacktPublishing/Getting-Started-with-Machine-Learning-in-Python-
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Getting Started with Machine Learning in R
Learn to make the most from your data!
About This Video
- A practical guide to working with Machine Learning Techniques using R.
- Covers the latest techniques and code examples of R that you can perform using ML.
- This course offers a deep dive into techniques of ML using R to make your data more robust and easier to...
Learn to make the most from your data!
About This Video
- A practical guide to working with Machine Learning Techniques using R.
- Covers the latest techniques and code examples of R that you can perform using ML.
- This course offers a deep dive into techniques of ML using R to make your data more robust and easier to maintain.
In Detail
Do you want to turn your data to predict outcomes that make real impact and have better insights?
R provides a cutt...
Learn to make the most from your data!
About This Video
- A practical guide to working with Machine Learning Techniques using R.
- Covers the latest techniques and code examples of R that you can perform using ML.
- This course offers a deep dive into techniques of ML using R to make your data more robust and easier to maintain.
In Detail
Do you want to turn your data to predict outcomes that make real impact and have better insights?
R provides a cutting-edge power you need to work with machine learning techniques
You will learn to apply machine learning techniques in the popular statistical language R. This course will get you started with Machine Learning and R by understanding Machine Learning and installing R. The course will then take you through some different types of ML. You will work with a classic dataset using Machine Learning. You will learn Linear and Logistic Regression algorithms and analyze the dataset. The course will take you through algorithms like Random Forest and Naive Bayes for working on your data in R. You will then see some of the excellent graphical tools in R, and some discussion of the goals and techniques for presenting graphical data. Analysis of the data set is demonstrated from end to end, with example R code you can use. Then you’ll have a chance to do it yourself on another data set.
By the end of the course you will learn how to gain insights from complex data and how to choose the correct algorithm for your specific needs.
All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/Getting-Started-with-Machine-Learning-in-R
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Getting Started with Neural Nets in R
Build and train neural network models to solve complex problems.
About This Video: Develop a strong background in neural networks with R, to implement them in your applications. Learn how to build and train neural network models to solve complex problems. Implement solutions from scratch, covering real-world case...
Build and train neural network models to solve complex problems.
About This Video: Develop a strong background in neural networks with R, to implement them in your applications. Learn how to build and train neural network models to solve complex problems. Implement solutions from scratch, covering real-world case studies to illustrate the power of neural network models.
In Detail: Neural networks are one of the most fascinating machine learning m...
Build and train neural network models to solve complex problems.
About This Video: Develop a strong background in neural networks with R, to implement them in your applications. Learn how to build and train neural network models to solve complex problems. Implement solutions from scratch, covering real-world case studies to illustrate the power of neural network models.
In Detail: Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve a wide range of problems in different areas of AI and machine learning. This course explains the niche aspects of neural networking and provides you with a foundation from which to get started with advanced topics by implementing them in R. This course covers an introduction to neural nets, the R language, and building neural nets from scratch- with R packages; specific worked models are applied to practical problems such as image recognition, pattern recognition, and recommender systems. At the end of the course, you will learn to implement neural network models in your applications with the help of practical examples from companies using neural nets.
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Great Big Story, Revolutionizing the Race
Hands-On Beginner’s Guide on Big Data and Hadoop 3
Effectively store, manage, and analyze large Datasets with HDFS, SQOOP, YARN, and MapReduce.
About This Video: Handle big data with ease using Hadoop and its ecosystem. Learn to store data with HDFS, transfer bulk data with SQOOP, and manage data efficiently with YARN.M ake your foundation strong with the basic co...
Effectively store, manage, and analyze large Datasets with HDFS, SQOOP, YARN, and MapReduce.
About This Video: Handle big data with ease using Hadoop and its ecosystem. Learn to store data with HDFS, transfer bulk data with SQOOP, and manage data efficiently with YARN.M ake your foundation strong with the basic concepts of Hadoop and big data Analytics.
In Detail: Do you struggle to store and handle big data sets? This course will teach to smooth...
Effectively store, manage, and analyze large Datasets with HDFS, SQOOP, YARN, and MapReduce.
About This Video: Handle big data with ease using Hadoop and its ecosystem. Learn to store data with HDFS, transfer bulk data with SQOOP, and manage data efficiently with YARN.M ake your foundation strong with the basic concepts of Hadoop and big data Analytics.
In Detail: Do you struggle to store and handle big data sets? This course will teach to smoothly handle big data sets using Hadoop 3.The course starts by covering basic commands used by big data developers on a daily basis. Then, you'll focus on HDFS architecture and command lines that a developer uses frequently. Next, you'll use Flume to import data from other ecosystems into the Hadoop ecosystem, which plays a crucial role in the data available for storage and analysis using MapReduce. Also, you'll learn to import and export data from RDBMS to HDFS and vice-versa using SQOOP. Then, you'll learn about Apache Pig, which is used to deal with data using Flume and SQOOP. Here you'll also learn to load, transform, and store data in Pig relation. Finally, you'll dive into Hive functionality and learn to load, update, delete content in Hive. By the end of the course, you'll have gained enough knowledge to work with big data using Hadoop. So, grab the course and handle big data sets with ease.The code bundle for this course is available at https://github.com/PacktPublishing/Hands-On-Beginner-s-Guide-on-Big-Data-and-Hadoop-3-.
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