Instructional Material
Ultimate Data Science Bootcamp in Python with 5 Projects
Data Science is an interdisciplinary field that uses scientific methods, algorithms to extract clean information from raw data for the formulation of actionable insights. This field is growing so rapidly, and revolutionizing so many industries. It has incalculable benefits in business, research, and our everyday lives. Your route to work, your most recent Google search for the nearest coffee shop, your Instagram post about what you ate, and even the health data from your fitness tracker are all important to different data scientists in different ways. Sifting through massive lakes of data, looking for connections and patterns, data science is responsible for bringing us new products, delivering breakthrough insights, and making our lives more convenient.
Machine Learning & Deep Learning in Python & R
Free Coupon Discount - Machine Learning & Deep Learning in Python & R, Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R Hot & New Created by Start-Tech Academy English [Auto] Preview this Udemy Course - GET COUPON CODE 100% Off Udemy Coupon . Free Udemy Courses . Online Classes
Robotic Assistant Agent for Student and Machine Co-Learning on AI-FML Practice with AIoT Application
Lee, Chang-Shing, Wang, Mei-Hui, Ciou, Zong-Han, Chang, Rin-Pin, Tsai, Chun-Hao, Chen, Shen-Chien, Huang, Tzong-Xiang, Sato-Shimokawara, Eri, Yamaguchi, Toru
In this paper, the Robotic Assistant Agent for student and machine co-learning on AI-FML practice with AIoT application is presented. The structure of AI-FML contains three parts, including fuzzy logic, neural network, and evolutionary computation. Besides, the Robotic Assistant Agent (RAA) can assist students and machines in co-learning English and AI-FML practice based on the robot Kebbi Air and AIoT-FML learning tool. Since Sept. 2019, we have introduced an Intelligent Speaking English Assistant (ISEA) App and AI-FML platform to English and computer science learning classes at two elementary schools in Taiwan. We use the collected English-learning data to train a predictive regression model based on students' monthly examination scores. In Jan. 2021, we further combined the developed AI-FML platform with a novel AIoT-FML learning tool to enhance students' interests in learning English and AI-FML with basic hands-on practice. The proposed RAA is responsible for reasoning students' learning performance and showing the results on the AIoT-FML learning tool after communicating with the AI-FML platform. The experimental results and the collection of students' feedback show that this kind of learning model is popular with elementary-school and high-school students, and the learning performance of elementary-school students is improved.
A Complete Anomaly Detection Algorithm From Scratch in Python: Step by Step Guide
Anomaly detection can be treated as a statistical task as an outlier analysis. But if we develop a machine learning model, it can be automated and as usual, can save a lot of time. There are so many use cases of anomaly detection. Credit card fraud detection, detection of faulty machines, or hardware systems detection based on their anomalous features, disease detection based on medical records are some good examples. There are many more use cases.
Hill Climbing and Simulated Annealing AI Algorithms
Redeem Get Udemy Coupon What you'll learn Udemy Coupon Best Description Search Algorithms and Optimization techniques are the engines of most Artificial Intelligence techniques and Data Science. There is no doubt that Hill Climbing and Simulated Annealing are the most well-regarded and widely used AI search techniques. A lot of scientists and practitioners use search and optimization algorithms without understanding their internal structure. However, understanding the internal structure and mechanism of such AI problem-solving techniques will allow them to solve problems more efficiently. This also allows them to tune, tweak, and even design new algorithms for different projects.
[2021] Learn Python for Data Science A-Z
Do you want to make your career in Data Science? Want to have a successful career and a life worth inspiring? All you need is the will to succeed and the passion to learn!!! Python being one of the most widely used languages is the new mantra for success. It is the number one tool for analytical professionals and is one of the top programming languages in the year 2019. Our aim is to make the students get acquainted with python and become proficient in the most popular programming language.
The 13 Best Machine Learning Certifications Online for 2021
The editors at Solutions Review have compiled this list of the best machine learning certifications online to consider acquiring. Machine learning involves studying computer algorithms that improve automatically through experience. It is a sub-field of artificial intelligence where machine learning algorithms build models based on sample (or training) data. Once a predictive model is constructed it can be used to make predictions or decisions without being specifically commanded to do so. Machine learning is now a mainstream technology with a wide variety of uses and applications.
Stock Price Prediction Using Python & Machine Learning
In this tutorial will show you how to write a Python program that predicts the price of stocks using two different Machine Learning Algorithms, one is called a Support Vector Regression (SVR) and the other is Linear Regression. So you can start trading and making money! Actually this program is really simple and I doubt any major profit will be made from this program, but it's slightly better than guessing! In this video will show you how to write a Python program that predicts the price of stocks using two different Machine Learning Algorithms, one is called a Support Vector Regression (SVR) and the other is Linear Regression. So you can start trading and making money!
Introduction to Artificial Intelligence in Unity 2021
Learn the basics of the most used Artificial Intelligence techniques in videogame development. Welcome to this Intermediate course designed for developers who want to learn the basics of the most Artificial Intelligence techniques. In this course we will learn how to implement some of the most popular AI techniques in Unity, we will learn how they work by creating a simple demo in each section. Unity already comes with some packages that will let you add AI Agents to your games without any effort. We will go beyond with cool AI such as FSM, Behavior Trees, Sensors, Flocking, and a GOAP System.
Deep Learning for Beginners in Python: Work On 12+ Projects
The Artificial Intelligence and Deep Learning are growing exponentially in today's world. There are multiple application of AI and Deep Learning like Self Driving Cars, Chat-bots, Image Recognition, Virtual Assistance, ALEXA, so on... With this course you will understand the complexities of Deep Learning in easy way, as well as you will have A Complete Understanding of Googles TensorFlow 2.0 Framework TensorFlow 2.0 Framework has amazing features that simplify the Model Development, Maintenance, Processes and Performance In TensorFlow 2.0 you can start the coding with Zero Installation, whether you're an expert or a beginner, in this course you will learn an end-to-end implementation of Deep Learning Algorithms So what are you waiting for, Enroll Now and understand Deep Learning to advance your career and increase your knowledge!