Hello guys, first of all, I wish you a very Happy New Year 2022. I have been sharing a lot of roadmaps to become a Web developer, DevOps engineer, and recently React.js One of the requests I received from many of my readers was for creating a Java Developer Roadmap. Since Java is my expertise, It wasn't a problem to create a Java Developer Roadmap, but it took slightly longer for me to create one because of the limited time I get. Anyway, I am finally ready to share my Java developer RoadMap with you. This Roadmap contains my years of experience and the unobstructed path of how to become a Java expert.

Free Coupon Discount - Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs, Become a Wizard of all the latest Computer Vision tools that exist out there. Detect anything and create powerful apps. BESTSELLER 4.4 (3,725 ratings) Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team  English [Auto-generated], Indonesian [Auto-generated], 6 more Preview this Udemy Course - GET COUPON CODE 100% Off Udemy Coupon . Free Udemy Courses . Online Classes

As you work your way through the 46 hours of content, you'll understand Python from machine learning, data science and deep learning perspectives, and …

Udemy Coupon - Artificial Intelligence: Reinforcement Learning in Python Complete guide to Artificial Intelligence, prep for Deep Reinforcement Learning with Stock Trading Applications BESTSELLER 4.5 (5,676 ratings) Created by Lazy Programmer Inc.  English [Auto-generated], Portuguese [Auto-generated], 1 more Preview this Course - GET COUPON CODE 100% Off Udemy Coupon . Free Udemy Courses . Online Classes

Then we will set up the prerequisite for them. Later we will proceed with face detection using MTCNN and preprocessing of the detected face for recognition.

Our reliance on artificial intelligence models is increasing day by day, and it's also becoming equally important to explain how and why AI This course provides detailed insights into the latest developments in Explainable Artificial Intelligence (XAI). Our reliance on artificial intelligence models is increasing day by day, and it's also becoming equally important to explain how and why AI makes a particular decision. Recent laws have also caused the urgency about explaining and defending the decisions made by AI systems. This course discusses tools and techniques using Python to visualize, explain, and build trustworthy AI systems. This course covers the working principle and mathematical modeling of LIME (Local Interpretable Model Agnostic Explanations), SHAP (SHapley Additive exPlanations) for generating local and global explanations.

Fabio Mardero is a data scientist from Italy. He graduated in physics and statistical and actuarial sciences. He is currently working at a well-known Italian insurance company as a data scientist and Non-Life technical provisions evaluator. Arrays and Matrices, reading files, DataFrame, Series, pivot tables, group by, pipelines, datetime objects.

Two-dimensional tensors are analogous to two-dimensional metrics. Like a two-dimensional metric, a two-dimensional tensor also has $n$ number of rows and columns. Let's take a gray-scale image as an example, which is a two-dimensional matrix of numeric values, commonly known as pixels. Ranging from '0' to '255', each number represents a pixel intensity value. Here, the lowest intensity number (which is '0') represents black regions in the image while the highest intensity number (which is '255') represents white regions in the image.

Python is an ideal first programming language for anyone interested in coding. Here are the top 10 Free Online Courses for Python from Udemy we've curated to help you learn Python. In this post you'll find 10 good beginners Python courses you can learn from and start your career as a software developer or web developer. All courses are free and you'll have lifetime access to the material! What better way to learn a new programming language than to dive right in? Python may be a general-purpose programming language, but it has specialized libraries that lend themselves to machine learning, artificial intelligence (AI), and scientific computing.

This is the first course that gives hands-on Data Science, Analytics & AI Real world Projects using Python.. This is a practical course, the course I wish I had when I first started learning Data Science. It focuses on understanding all the basic theory and programming skills required as a Data Scientist, but the best part is that it has Practical Case Studies covering so many common business problems faced by Data Scientists in the real world. "Data Scientist has become the top job in the US for the last 4 years running!" according to Harvard Business Review & Glassdoor. This course seeks to fill all those gaps in knowledge that scare off beginners and simultaneously apply your knowledge of Data Science, Machine Learning, Data analysis,, Natural Language Processing to real-world business problems.