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E-BooksBuilding Smart Drones with ESP8266 and Arduino



Building Smart Drones with ESP8266 and Arduino


Language: English | Total pages: 204 | Format: pdf | Size: 71.12 MB |





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E-BooksGuide to the deterioration and failure of building materials



Guide to the deterioration and failure of building materials


Language: English | Total pages: 169 | Format: pdf | Size: 3.52 MB |





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E-BooksPractical Guide to Building an API Back End with Spring Boot



Practical Guide to Building an API Back End with Spring Boot


Language: English | Total pages: 146 | Format: pdf | Size: 2.38 MB |





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E-BooksBuilding a Whiter and a Brighter World



Building a Whiter and a Brighter World


Language: English | Total pages: 129 | Format: pdf | Size: 990.52 KB |





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E-BooksBuilding RESTful Web Services with Java EE 8



Building RESTful Web Services with Java EE 8


Language: English | Total pages: 110 | Format: pdf | Size: 7.17 MB |





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Chatbot Building and Marketing with Chatfuel-Without Coding




Chatbot Building and Marketing with Chatfuel-Without Coding

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 48M | 524 MB
Genre: eLearning | Language: English

Have you ever wanted to build an intelligent chatbot for your own business or organization? If yes, then this course is perfect for you.

The course starts with an introduction that talks about what is being covered in the course and why it is important. Then many basic terms in the Chatbot world are explained. The next couple of lessons cover how to create a structure/skeleton for a Chatbot you want to build. The next few lessons show how to build a Chatbot step-by-step. If you work along with them, by the end of these lessons youll have a functional bot in place. The next few lessons show how to include some advanced features and AI rules to make the bot intelligent.

Finally, some ways to market your products within the bot are covered. This course is for anyone who wants to build a bot for his own business or someone else's. If you want to start your own agency and build bots for clients, this course is a great starting point. Chatbots will soon rule the social media world and digital marketing space in general. But Chatbots are still in the initial stage of their development lifecycle. So if you decide to enter this space and master it, this knowledge will be invaluable in your marketing career. The predictions about Chatbots are so startling: Chatbots are set to improve in the next few years to the point where they replace humans in terms of marketing and customer service functions. This is possible with an improvement in Artificial Intelligence and Natural Language Processing functions.

In the near future, maybe in the next couple of years, Chatbots may take the place of email marketing. So my bold claim is this: if you work the marketing space and really want to succeed in it, you cannot afford to not master Chatbot marketing.ScreenshotsChatbot Building and Marketing with Chatfuel-Without Coding
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Building Deep Learning Models Using PyTorch




Building Deep Learning Models Using PyTorch

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | + Exercise Files
Level: Beginner | Released: 12 Oct 2018
Duration: 3h 18m | 979 MB
PyTorch is an open source deep learning framework originally developed by the AI teams at Facebook. PyTorch offers high-level APIs which make it easy to build neural networks and great support for distributed training and prediction.

PyTorch is an open source, deep learning framework which is a popular alternative to TensorFlow and Apache MXNet. PyTorch APIs follow a Python-native approach which, along with dynamic graph execution, make it very intuitive to work with for Python developers and data scientists. In this course, Building Deep Learning Models Using PyTorch, you will learn to work with PyTorch and all the libraries that it has to offer, from first principles - starting with Torch tensors, dynamic computation graphs, and the autograd library, to compute gradients. You'll start off by understanding the basics of training a neural network, the forward and backward passes, and gradient computation. You will use these concepts to build simple neural networks to predict automobile prices, as well as who survived and who did not on the Titanic. Next, you'll move on to image classification using convolutional neural networks; you'll study the role of convolutional and pooling layers and the basic structure of a CNN, you'll then build a CNN to classify images from the Cifar-10 dataset. You'll also see how you can leverage the power of transfer learning by using pre-trained models for image classification. Finally, you'll get to work with recurrent neural networks for sequence data, seeing how the dynamic computation graph execution in PyTorch makes building RNNs very simple. You'll use RNNs with long memory cells to predict gender using baby names. At the end of this course, you will be comfortable using PyTorch libraries and APIs to leverage pre-trained models that PyTorch offers and also to build your own custom model for your specific use case.ScreenshotsBuilding Deep Learning Models Using PyTorchDownload from free file storage
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Video TrainingBuilding Interactive Visualizations Using Bokeh



Building Interactive Visualizations Using Bokeh
Building Interactive Visualizations Using Bokeh
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 47M | 167 MB
Genre: eLearning | Language: English


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Video TrainingA Compact Guide to Building Habits That Stick



A Compact Guide to Building Habits That Stick
A Compact Guide to Building Habits That Stick
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 43M | Lec: 12 | 411 MB
Genre: eLearning | Language: English


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Video TrainingBuilding Structures in German - Structure 2



Building Structures in German - Structure 2
Building Structures in German - Structure 2
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 42 | 207 MB
Genre: eLearning | Language: English
Learn about how the German language is put together by breaking it down into its different sentence structures.
I remember one weekend, I was writing some lessons for the week ahead, when I suddenly realised this.


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