Evaluation metrics to analyze the performance of models Industry relevance of linear and logistic regression Mathematics behind KNN, SVM and Naive Bayes algorithms Implementation of KNN, SVM and Naive Bayes using sklearn Attribute selection methods- Gini Index and Entropy Mathematics behind Decision trees and random forest Boosting algorithms:- Adaboost, Gradient Boosting and XgBoost Different Algorithms for Clustering Different methods to deal with imbalanced data Correlation Filtering Content and Collaborative based filtering Singular Value Decomposition Different algorithms used for Time Series forecasting Hands on Real-World examples. To make sense out of this course, you should be well aware of linear algebra, calculus, statistics, probability and python programming language. To make sense out of this course, you should be well aware of linear algebra, calculus, statistics, probability and python programming language. This course is a perfect fit for you. This course will take you step by step into the world of Machine Learning.

We have the pleasure of introducing Radiant Earth Foundation's first online course, Machine Learning for Earth Observations (ML4EO) Bootcamp. Available on Atingi, an open digital learning platform designed to improve training and employment opportunities, this self-paced course contains a mixture of lectures and hands-on exercises for novice data science or remote sensing practitioners. Atingi is implemented by the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) on behalf of the German Federal Ministry for Economic Cooperation and Development (BMZ). A discussion exchange forum has been set up for participants to post questions about the course content and get help from others taking the course. The Radiant MLHub LinkedIn community page and Slack channel can also be used to crowdsource answers to questions.

Efficient credit assignment is essential for reinforcement learning algorithms in both prediction and control settings. We describe a unified view on temporal-difference algorithms for selective credit assignment. These selective algorithms apply weightings to quantify the contribution of learning updates. We present insights into applying weightings to value-based learning and planning algorithms, and describe their role in mediating the backward credit distribution in prediction and control. Within this space, we identify some existing online learning algorithms that can assign credit selectively as special cases, as well as add new algorithms that assign credit backward in time counterfactually, allowing credit to be assigned off-trajectory and off-policy.

Senior Machine Learning Software Engineer at ColdQuanta United States › Wisconsin › Madison (Posted Feb 18 2022) Salary 130k - 193k Job description ColdQuanta is developing a quantum computing platform utilizing a novel approach with neutral cold atoms. Our quantum computer, Hilbert, arranges individual atoms and generates complex electromagnetic fields to control their quantum state in order to run quantum circuits that our customers will use to discover drugs, optimize the power grid, and develop novel applications for quantum computing. We would like to apply techniques from advanced statistics and machine learning to a variety of problems including analyzing images of our atom array, running black box optimizations to keep our atoms cooled to a few μK, and maintaining gate fidelity by tuning the hundreds of thousands of variables that are used to generate laser and microwave pulses. Our software efforts are largely greenfield, and applicants should be comfortable delivering innovative solutions to novel and challenging problems. An ideal applicant will be able to work independently in exploring huge datasets to identify ways to improve our quantum computer and the software that makes it tick.

In this course you will learn what Metaverse is, how it works, who is creating it, how you can use it and how you can profit from it. While the Metaverse and it's development is still in its infancy, there's certainly a lot to look forward to and a lot of opportunities available. In the new world of self-driving cars, high-speed internet, blockchain technology, augmented reality and haptic gloves, science fiction is now becoming a reality. As giants like Facebook, Microsoft and Apple join the fold and invest millions of dollars into their Meta ambitions, it's inevitable that this trend will become intertwined into our lives just like we have seen with smartphones and social media. The Metaverse is growing and has been growing for quite some time.

Python is famed as one of the best programming languages for its flexibility. It works in almost all fields, from web development to developing financial applications. However, it's no secret that Python's best application is in deep learning and artificial intelligence tasks. While Python makes deep learning easy, it will still be quite frustrating for someone with no knowledge of how machine learning works in the first place. If you know the basics of Python and you have a drive for deep learning, this course is designed for you.

Welcome to Hyperparameter Optimization for Machine Learning. In this course, you will learn multiple techniques to select the best hyperparameters and improve the performance of your machine learning models. Welcome to Hyperparameter Optimization for Machine Learning. In this course, you will learn multiple techniques to select the best hyperparameters and improve the performance of your machine learning models. If you are regularly training machine learning models as a hobby or for your organization and want to improve the performance of your models, if you are keen to jump up in the leader board of a data science competition, or you simply want to learn more about how to tune hyperparameters of machine learning models, this course will show you how.

Second Nature announced an agreement to integrate its AI-powered sales conversation simulations into Corporate Visions sales messaging certification and fluency coaching programs. The first ever AI implementation at scale by a prominent sales training company, the integration will enable Corporate Visions to provide an automated feedback and assessment program that will increase sellers' competency on mission-critical commercial conversations. With the agreement, Second Nature gains a trusted, world-class partner that works with industry-leading B2B companies around the world while Corporate Visions further augments its industry-leading sales skills training, coaching and message certification programs. "It's a perfect partnership," said Second Nature CEO and Co-founder Ariel Hitron. "Corporate Visions helps companies develop new stories and skills to drive strategic initiatives, while Second Nature's immersive simulation platform enables individual reps to practice whenever and wherever they want. With this partnership, companies gain increased confidence to turn strategic initiatives into sales practices that drive results."

You can almost smell the drying fish as you step into Ubisoft's latest Discovery Tour, Viking Age, a free add-on for Assassin's Creed: Valhalla (also available to play stand-alone, without the game). Previous Discovery Tour titles have allowed players to take a combat-free jaunt through Ptolemaic Egypt, Greece during the Peloponnesian War, and now early Viking Britain--all "curated by historians and experts," according to Ubisoft. In partnership with UKIE, the British gaming trade association, the game developer wants to introduce Discovery Tour to 52 schools across the UK. But this isn't the first time someone has deployed a video game for education. As early as 1971, when Paul Dillenberger showed The Oregon Trail to his students, the effect gaming could have in a learning environment was apparent.

NIT Warangal is inviting applications for a 5-day national level short online course called "Machine Learning, Deep Learning and IoT driven Smart …