Learn how AI is driving the future of video surveillance technology. See how it can play an important role in mitigating risks and creating a safer environment for organizations. This webinar will highlight the benefits of Artificial Intelligence which includes reducing the occurrence of false alarms during active monitoring, increasing efficiency during forensic review, and reducing storage and bandwidth requirements - all while turning your surveillance into actionable business intelligence. Aaron M Saks, MSIT Sr. Product and Technical Training Manager Mr. Saks is the Sr. His primary responsibilities include managing the development of training and certification programs for various user groups.

Are you ready to start your path to becoming a Data Scientist! This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

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An education in data science can help you land a job as a data analyst, data engineer, data architect, or data scientist. The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. Data engineers and data architects spend more time dealing with code, databases, and complex queries, whereas data analysts and data scientists typically focus on analyzing, collecting, and interpreting large datasets to help guide business decisions. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup. WeCloudData is a data science and AI academy that offers a number of bootcamps as well as a diploma program and learning paths composed of sequential courses.

This online course is for students and software developers who want to level up their skills by learning interesting optimization algorithms in C . You will learn some of the most famous AI algorithms by writing it in C from scratch, so we will not use any libraries. We will start with the Genetic Algorithm (GA), continue with Simulated Annealing (SA) and then touch on a less known one: Differential Evolution. Finally, we will look at Ant Colony Optimization (ACO). The Genetic Algorithm is the most famous one in a class called metaheuristics or optimization algorithms. You will learn what optimization algorithms are, when to use them, and then you will solve two problems with the Genetic Algorithm(GA).

In this Python Reinforcement Learning course you will learn how to teach an AI to play Snake! We build everything from scratch using Pygame and PyTorch.

In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning. Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.

Talend is an Open Source/Enterprise ETL Tool, which can be used by Small to Large scale companies to perform Extract Transform and Load their data into Databases or any File Format (Talend supports almost all file formats and Database vendors available in the market including Cloud and other niche services). This Course is for anyone who wants to learn Talend from ZERO to HERO, it will also help in Enhancing your skills if you have prior experience with the tool. In the course we teach Talend - ETL tool, PostgreSQL - SQL and all the basic Datawarehousing concepts that you would need to work and excel in the organization or freelance. We give real world scenarios and try to explain the use of component so that it becomes more relevant and useful for your real world projects. By the end of the Course you will become the Master in Talend Data Intergration and will help you land the job as ETL or Talend Developer, which is high in demand.

TensorFlow is a popular open-source framework for machine learning and probably the best tool you can use to implement machine learning and deep learning algorithms and principles. This TensorFlow course offered on Coursera is a part of TensorFlow in Practice Specialization by deeplearning.ai. This course is suitable for software developers who have some experience in Python coding and some knowledge of machine learning and deep learning and who want to build scalable AI-powered algorithms in TensorFlow. It teaches how to use TensorFlow to implement the principles of machine learning and deep learning so learners can start building and applying scalable models to real-world problems.

Conventional vehicles are certified through classical approaches, where different physical certification tests are set up on test tracks to assess required safety levels. These approaches are well suited for vehicles with limited complexity and limited interactions with other entities as last-second resources. However, these approaches do not allow to evaluate safety with real behaviors for critical and edge cases, nor to evaluate the ability to anticipate them in the mid or long term. This is particularly relevant for automated and autonomous driving functions that make use of advanced predictive systems to anticipate future actions and motions to be considered in the path planning layer. In this paper, we present and analyze the results of physical tests on proving grounds of several predictive systems in automated driving functions developed within the framework of the BRAVE project. Based on our experience in testing predictive automated driving functions, we identify the main limitations of current physical testing approaches when dealing with predictive systems, analyze the main challenges ahead, and provide a set of practical actions and recommendations to consider in future physical testing procedures for automated and autonomous driving functions.