Free Coupon Discount - Machine Learning Practical: 6 Real-World Applications, Machine Learning - Get Your Hands Dirty by Solving Real Industry Challenges with Python 4.3 (1,283 ratings) Created by Kirill Eremenko, Hadelin de Ponteves, Dr. Ryan Ahmed, Ph.D., MBA, SuperDataScience Team, Rony Sulca English [Auto-generated] Preview this Udemy Course - GET COUPON CODE 100% Off Udemy Coupon . Free Udemy Courses . Online Classes
This is the best course to quickly grasp the knowledge of Python and OpenCV and become proficient to design Computer Vision and Deep Learning solutions. With the AI-fueled organization trend getting momentum, the industry is in dire need of Computer Vision experts who are proficient in Python and OpenCV. This course has been designed to start with the basics of Python coding language comprising of Data Types, Operators, Loops, Functions, Modules, File Handling, Exception Handling along with Popular Coding Practices and then slowly take you through the advanced Python concepts such as Lambda, Map, Filter, Object Oriented Programming, Decorator, Generator, DateTime, Math, Random, Statistics, Sys, OS, Numpy, Pandas, Matplotlib and OpenPyXL in detail. Not only this, the course takes it one step further by providing comprehensive coverage of OpenCV topics including Image Thresholding, Image Noise Removal, Image Cropping & Rotation, Image Annotation, Image Detection and also OpenCV for Videos with 35 supporting notebooks available for download that contain examples for practice. The quiz at the end of each key topic helps you to assess your knowledge and identify the improvement areas.
In the last 70 years, the world has seen many technology evolutions. The notable ones in the last 5 years are the rise of artificial intelligence – Machine Learning, the rise of zero code or low code approaches in technology and the interactive & self serve dashboards in business intelligence. Artificial Intelligence – Machine Learning (AI – ML) is impacting mankind in unimaginable ways from recommending movies and products, preventing diseases to automating processes. Organizations are embracing artificial intelligence and machine learning in a big way. Power BI epitomizes the recent trends in business intelligence (BI) for interactive, easy to use and self-serve dashboards.
The Hidden Markov Model or HMM is all about learning sequences. A lot of the data that would be very useful for us to model is in sequences. Stock prices are sequences of prices. Language is a sequence of words. Credit scoring involves sequences of borrowing and repaying money, and we can use those sequences to predict whether or not you're going to default.
This series is about the future of testing in America's schools. Part one of the series presents a theory of action that assessments should play in schools. Part two--this issue brief--reviews advancements in technology, with a focus on artificial intelligence that can powerfully drive learning in real time. And the third part looks at assessment designs that can improve large-scale standardized tests. Despite the often-negative discussion about testing in schools, assessments are a necessary and useful tool in the teaching and learning process.1
So, you want to become a professional machine learning engineer? Online courses on Machine Learning and Kaggle-style competitions are great resources to learn the fundamentals of machine learning. However, the daily job of a machine learning engineer requires an additional layer of skills that you won't master there. In this article, I will give you 4 tips to help you solve ML problems in the real world. I have learned them (the hard way) while working as a freelance ML engineer at Toptal.
Deep Learning: Recurrent Neural Networks in Python, GRU, LSTM, more modern deep learning, machine learning, and data science for sequences Created by Lazy Programmer Inc. English [Auto], Indonesian [Auto], 5 more Preview this Course - GET COUPON CODE Description Like the course I just released on Hidden Markov Models, Recurrent Neural Networks are all about learning sequences - but whereas Markov Models are limited by the Markov assumption, Recurrent Neural Networks are not - and as a result, they are more expressive, and more powerful than anything we've seen on tasks that we haven't made progress on in decades. So what's going to be in this course and how will it build on the previous neural network courses and Hidden Markov Models? In the first section of the course we are going to add the concept of time to our neural networks. I'll introduce you to the Simple Recurrent Unit, also known as the Elman unit. We are going to revisit the XOR problem, but we're going to extend it so that it becomes the parity problem - you'll see that regular feedforward neural networks will have trouble solving this problem but recurrent networks will work because the key is to treat the input as a sequence.
Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. "This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining.
Become an AI & ML expert with this exclusive E-Degree having hand-picked content from world-class instructors. This e-degree will enable you to gain an in-depth understanding of what has become the brain behind business intelligence and will cover technologies like Machine learning, Regression analysis, Tensorflow, Python, R & more. A set of hand-picked courses put together with the sole aim of making learning AI & Machine Learning easy. This comprehensive E-Degree program includes 6 courses, myriad of projects, numerous source code snippets and much more! With this e-degree you'll learn how to analyse data, extract value and train machine learning models to predict results.These resources will help you get a head-start for a promising career in AL and ML.