Live Instructor Led Online Training Basic Programming courses is delivered using an interactive remote desktop! .
During the course each participant will be able to perform Basic Programming exercises on their remote desktop provided by Qwikcourse.
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This course is about PBASIC programming using the Parallax BasicStamp family of microcontrollers.
This course aims to provide beginners with an introduction to the programming of Mac OS X Apps using Cocoa, and XCode, the free developer tools provided by Apple, Inc. Examples of Mac apps are: iTunes, Safari, Mail, iCal, Address Book, Microsoft Word, Microsoft Excel, etc. Using Objective-C, Cocoa and XCode as taught in This course will start your education in how to develop Mac apps. Many of the skills that you learn in This course can be used to build apps for iOS but there are some differences between Mac OS X apps and iOS apps. This course focuses on Mac OS X apps. Some knowledge of another programming language, preferably Objective-C. The following link is a link to a wikibook that covers Objective C Programming. Apple has a Mac App Store where it can sell your Mac apps for you and they will pay you 70% of the proceeds. The Mac App Store is available for users of Mac OS X, 10.6 and later by choosing from the Apple menu "App Store...". In general, this text is written to be followed in order from start to finish except that if you have experience in C, C++, Java or Python, you are encouraged to look at the relevant section of the Appendix to orient you to developing for Mac OS X and Cocoa.
Visual Basic .NET is a multi-paradigm, high-level programming language,from Microsoft that is suitable for most development needs. The language is designed with Rapid Application Development in mind, providing several tools to shorten development time. This course introduces Visual Basic .NET language fundamentals and covers a variety of the base class libraries (BCL) provided by the .NET Framework. GDI+ is a way to draw simple graphics and strings on a Form.
GNU Data Language (GDL) is a free software (GDL - GNU Data Language). A free IDL (Interactive Data Language) compatible incremental compiler (i. e. runs IDL programs). IDL is a registered trademark of ITT Visual Information Solutions. Features Full syntax compatibility with IDL up to version 7.1 (for 8.0 and later see below). ALL IDL language elements up to IDL version 7.1 are supported, including: Supported IDL 8.0 language elements: The file input output system is fully implemented (Exception: For formatted I/O the C() sub-codes are not supported yet) netCDF files are fully supported. HDF files are partially supported.
BrainJam's challenging and interactive Math Problems helps you to sharpen and train your brain. BrainJam offers different kind of Math puzzles for everyone which tests your accuracy, aptitude and quick-thinking skills. Start exercising your brain now! Don't let your brain jam!
IJCAI 2019 Mini-batch gradient descent based methods are the de facto algorithms for training neural network architectures today. We introduce a mini-batch selection strategy based on submodular function maximization. Our novel submodular formulation captures the informativeness of each sample and diversity of the whole subset. We design an efficient, greedy algorithm which can give high-quality solutions to this NP-hard combinatorial optimization problem. Our extensive experiments on standard datasets show that the deep models trained using the proposed batch selection strategy provide better generalization than Stochastic Gradient Descent as well as a popular baseline sampling strategy across different learning rates, batch sizes, and distance metrics.
Microsoft Graph Training Module - Create a Microsoft Graph JSON Batch Custom Connector for Microsoft Flow & Azure Logic Apps
This module will introduce you to working with the Microsoft Graph JSON Batching REST API to access data in Office 365. You will learn how to create and configure a custom connector for Flow, access the the Microsoft graph JSON Batch API, and use the custom connector in a Flow to create a Microsoft Team.
Lab - Create a Microsoft Graph JSON Batch Custom Connector for Microsoft Flow & Azure Logic Apps
In this lab you will leverage the Microsoft Graph JSON Batching REST API to create a Custom Connector and Flow application.
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GhostContactBook is android application we will develop along with our training session. We will start from stretch with blank app and cover following milestones to take it to the Play Store eventually.
A list of modules in development for PhysiCell training Add a DONE after each once created
A tool for generating a range of styles of appropriate resistance training programs for strength. Edit 1RM, monthly volume, and set flags to the program you would like to have generated. Existing constants other than 1RM and volume are based on hypothetically correct values for squat programming described in the Joe Rogan Experience ep. 1399
This UI tool is meant to assist with hyperparameter search when training neural networks. It invokes an external process to do the training, expecting that process to checkpoint its work and eventually exit. Different hyperparameters are tracked based on the command-line options to the training program required to set them up. The rate of training progress is evaluated based on Tensorboard log files emitted by the external process, and at each interval a hyperparameter set is randomly selected for additional training, weighted based on configurable parameters such as convergence rate or total training time. Hyperparameter sets may be selected for plotting of the loss curves, or interactively inhibited from additional training. Additional hyperparameters may be manually added at any time.
In addition to Tensorflow, this tool depends on PySide2 and matplotlib to function:
pip3 install matplotlibpip3 install PySide2
If you have Tensorflow in a virtual env, all three packages must be in the
same env, and the tool must be run from that environment.
To begin, invoke File/New Session. You will be prompted for some properties of the session:
This course was developed using the concept of Machine Learning and the programming language Python 3. Machine learning is the study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. The main focus of this course is to monitor how increasing the amount of data training for a machine learning algorithm can recognize handwritten digits that increases the accuracy of the algorithm.
Training and Placement Cell is a total management and informative system, which provides the up-to date information of all the students in a particular college. TPC helps the colleges to overcome the difficulty in keeping records of hundreds and thousands of students and searching for a student eligible for recruitment criteria from the whole thing. It helps in effective and timely utilization of the hardware and the software resources. The home page contain various links such as links to login, various services like Events happened, achievements and recruiter details etc.,. The administrator will create the users and the users will use the accounts created by administrator. When the user enteres into his respective page he can update his details, and the details are to be approved by the administrator. All the users have some common services like changing password, updating details, searching for details, checking the details, mailing to administrator, and reading the material uploaded by admin if the user is a student. Administrator has the services to add events and achievements and he can reply to the mails sent by users. He can upload materials, search for student details, and he has the right to approve the students. This package is developed in windows platform. The programming language used is JSP with three tier architecture. Oracle 8i is used as backend database for the details to be stored.
TuxCap is a program for buffering a series of photos and capturing the time before, during and after some trigger event using a raspberry pi and a USB webcam. The captures can be stored as a folder of jpegs or as an mp4 video, depending on your size limitations and quality requirements. The command line interface is basic, and accepts the following commands:
TuxCap is written for Python 3. Requirements are updated and can be found in the
requirements.txt file. It depends on OpenCV for camera handling and Numpy
because OpenCV depends on it. If you intend to create video captures, ffmpeg
should be installed. You can install all dependencies on x86-64 debian with:
pip3 install -r requirements.txt
sudo apt install ffmpeg
On the Raspbian, dependencies are not all available through pip. Instead, run
the following to install the relevant packages:
pip3 install opencv-python
sudo apt install ffmpeg libatlas3-base libcblas3 libjasper1 libqt4-test libgstreamer1.0-0 libqt4-dev-bin libilmbase12 libopenexr-dev rpi.gpio
You may need to add the user running the program to the video group, using
usermod -aG video
This is a simple tool to visualize a Kohonen Network with color training. Colors represent neurons weight. So, when training with an constant input color set, network learn from this pattern, then self organize to represent this pattern. The more iterations executed, the more the network will look like the input.
Luiz Eduardo Pizzinatto & Bruno Martins Crocomo
python Main.py
Below are shown 4 screenshots from a simple training process.
Starting with a random image, every training step (activate and backward) turn the network more organized, culminating in organized colors (i.e. organized neurons).
pybrain works only with numpy 1.11.0.This container forms the basis of our cloud based training platform. It is designed to be very minimal such that it only provides basic system utilities and tools along with the JupyterHub server for serving multiuser Jupyter notebooks. This particular container does not contain any Jupyter based training material, but simply sets up and configures the JupyterHub server and a number of basic system utilities that will enable this container to function as a reliable base container for specific workshop courses.
Learn why spam is a problem for all WordPress sites, why you should control it and how and learn tips to manage it.
Who is this lesson intended for? What interests/skills would they bring? Choose all that apply.
Zementis modeler is an open source machine learning and artificial intelligence platform for Data Scientist to solve business problems faster and quicker, build prototypes and convert them to actual project. The modeler helps from data preparation to model building and deployment, the tool supports large variety of algorithms that can be run without a single line of code. The web based tool has various components which help Data Scientist to perfrom several model building tasks and provides deployment ready PMML files which can be hosted as a REST services. Zementis Modeler allows its user to cover wide variety of algorithms and Deep Neural Network architectures, with minimal or No code enviornment. It is also one of the few deep-learning platforms to support the Predictive Model Markup Languaue (PMML) format, PMML allows for different statistical and data mining tools to speak the same language. The feature offerings of Zementis Modeler are:
In this lesson, you'll learn about the different files that make up a theme and how they work together to display your WordPress website.
After completing this lesson, participants will be able to:
Who is this lesson intended for? What interests/skills would they bring? Choose all that apply.
AssignPointsToExistingClusters are algorithms for assigning points in one dataset to clusters in another dataset. Ideally, if we have two datasets that represent the same objects in the real world, there would be an unambiguous correspondence between the two datasets. Though, this is not usually the case when working with real-world data. Hence, this repository exists. Finding correct correspondences between datasets is particularly important when training and testing supervised machine learning models. These algorithms have been specifically developed for finding matches between in situ data and clusters in remotely sensed point clouds (such as from lidar and Structure from Motion), though the ideas will generalize to other contexts in machine learning in which the goal is to match points in one dataset to clusters in another dataset.
Intel Modern Code is an initiative to spread knowledge on how to design and optimize software through the use of parallelism, aiming to exploit the full potential of computers and supercomputers. This community is made up of experts who provide libraries, support and training in modern code techniques. The GPPD (Parallel and Distributed Processing Group), the Institute of Informatics at UFRGS, joined the modern source community as an Intel Partner Modern Code (MCP) in August 2016 to offer courses and training.
A Terraform module is a grouping of variables, resources, and outputs that can be reused. It reduces code repetition, and means that the module can be maintained externally to the template using it. And a module is just a Terraform template itself!
terraform commands should be run like this, to use the correct account and user. aws-vault exec terraformrole -- terraform init aws-vault exec terraformrole -- terraform apply
In this lesson, you will learn the meaning of the term Open Source when referring to software, what the GPL software license provides, why WordPress is an open-source project and how this is important for both the users of WordPress and the contributors to WordPress.
After completing this lesson, students will be able to:
Who is this lesson intended for? What interests/skills would they bring? Choose all that apply.
In the field of Basic Programming learning from a live instructor-led and hand-on training courses would make a big difference as compared with watching a video learning materials. Participants must maintain focus and interact with the trainer for questions and concerns. In Qwikcourse, trainers and participants uses DaDesktop , a cloud desktop environment designed for instructors and students who wish to carry out interactive, hands-on training from distant physical locations.
For now, there are tremendous work opportunities for various IT fields. Most of the courses in Basic Programming is a great source of IT learning with hands-on training and experience which could be a great contribution to your portfolio.
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