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Information Technology: Instructional Materials


Introduction to AI & Machine Learning

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Way2AI is a group of enthusiasts and specialists in AI & Machine Learning, created by Long Nguyen, PhD in AI (France), aiming at teaching people learning about this emerging technology. AI is really changing the world! Almost every domain can benefit from the power of AI, from business, healthcare, to transport, entertainment, and military etc. There are more and more investments in AI but the domain still lacks of qualified employees. Therefore we really hope that our contribution can help many people find a fast and easy way in approaching AI.


Linear Regression and Logistic Regression using R Studio

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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.



Deep Learning- Learn With Tensor Flow and Python

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Deep Learning- Learn With Tensor Flow and Python, Learn how to use Deep Learning Framework - TensorFlow,Keras, Create your own Chatbots,Intro to Tensorflow 2.0 Welcome to the Complete Guide to TensorFlow for Deep Learning with Python! This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow framework in a way that is easy to understand. Other courses and tutorials have tended to stay away from pure tensorflow and instead use abstractions that give the user less control. Here we present a course that finally serves as a complete guide to using the TensorFlow framework as intended, while showing you the latest techniques available in deep learning!


Deep Learning Prerequisites: Linear Regression in Python

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Online Courses Udemy Data science: Learn linear regression from scratch and build your own working program in Python for data analysis. Created by Lazy Programmer Inc. English [Auto-generated], Spanish [Auto-generated] Students also bought Artificial Intelligence: Reinforcement Learning in Python Data Science: Natural Language Processing (NLP) in Python Natural Language Processing with Deep Learning in Python Cluster Analysis and Unsupervised Machine Learning in Python Complete Python Bootcamp: Go from zero to hero in Python 3 Preview this course GET COUPON CODE Description This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own linear regression module in Python. Linear regression is the simplest machine learning model you can learn, yet there is so much depth that you'll be returning to it for years to come.


Machine Learning Automation

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Machine Learning Automation - End to End Right from Building Machine Learning Model to App, without or minimal knowledge requirement either in Python or Machine Learning. This course covers Regression, Binary and Multi-Class Classification Problems. No prerequisites required for this course. This course covers Exploratory Data Analysis, Data Cleaning, Model Pipeline, Metrics and Saving Model and thereafter Building App.


Master Machine Learning: Basics, Jobs and Interview Bootcamp

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Learn to create Machine Learning Algorithms in Python Interview Questions ... New What you'll learn Description This course is designed by Manik Soni, professional Data Scientists so that I can share my knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way. Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own machine learning models.


Deep Learning: Advanced NLP and RNNs

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Created by Lazy Programmer Inc. English [Auto], Indonesian [Auto], Students also bought Unsupervised Machine Learning Hidden Markov Models in Python Machine Learning and AI: Support Vector Machines in Python Natural Language Processing with Deep Learning in Python Advanced AI: Deep Reinforcement Learning in Python Deep Learning: Advanced Computer Vision (GANs, SSD, More!) Artificial Intelligence: Reinforcement Learning in Python Preview this course GET COUPON CODE Description It's hard to believe it's been been over a year since I released my first course on Deep Learning with NLP (natural language processing). A lot of cool stuff has happened since then, and I've been deep in the trenches learning, researching, and accumulating the best and most useful ideas to bring them back to you. So what is this course all about, and how have things changed since then? In previous courses, you learned about some of the fundamental building blocks of Deep NLP. We looked at RNNs (recurrent neural networks), CNNs (convolutional neural networks), and word embedding algorithms such as word2vec and GloVe.


AI Artificial Intelligence Course in Dubai

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The Knowledge and Human Development Authority (KHDA) is responsible for the growth and quality of private education in Dubai. We support schools, universities, parents, students, educators, investors and government partners to create a high quality education sector focused on happiness and well being. For application process, please contact us.


Python Data Structures Tutorial

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Also explains sequence and string functions, slicing, concatenating, iterating, sorting, etc. with code examples. Also explains sequence and string functions, slicing, concatenating, iterating, sorting, etc. with code examples. This course combines conceptual lectures to explain how a data structure works, and code lectures that walk through how to implement a data structure in Python code. All the code lectures are based on Python 3 code in a Jupyter notebook. Data structures covered in this course include native Python data structures String, List, Tuple, Set, and Dictionary, as well as Stacks, Queues, Heaps, Linked Lists, Binary Search Trees, and Graphs.