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Machine Learning: Learn By Building Web Apps in Python

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Machine learning is a branch of artificial intelligence (AI) focused on building applications that learn from data and improve their accuracy over time without being programmed to do so. In data science, an algorithm is a sequence of statistical processing steps. In machine learning, algorithms are'trained' to find patterns and features in massive amounts of data in order to make decisions and predictions based on new data. The better the algorithm, the more accurate the decisions and predictions will become as it processes more data. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts.


Setting a new bar for online higher education

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The education sector was among the hardest hit by the COVID-19 pandemic. Schools across the globe were forced to shutter their campuses in the spring of 2020 and rapidly shift to online instruction. For many higher education institutions, this meant delivering standard courses and the "traditional" classroom experience through videoconferencing and various connectivity tools. The approach worked to support students through a period of acute crisis but stands in contrast to the offerings of online education pioneers. These institutions use AI and advanced analytics to provide personalized learning and on-demand student support, and to accommodate student preferences for varying digital formats.


12 Best Coursera Free Courses for Machine Learning

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This is another Free Coursera course to learn how deep learning with neural networks can be used to classify images and detect objects in images and videos. In this course, you will use convolutional neural networks (CNNs) to classify images and detect objects.


Become a Sensor Fusion Engineer

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Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to perceive the world around a vehicle and track objects over time.


Machine Learning for Data Science: Machine Learning Devops

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This course empowers the students to be more efficient, effective, and productive in modern, real-world ML projects by adopting best practices around reproducible workflows. In particular, it teaches the fundamentals of MLops and how to: a) create a clean, organized, reproducible, end-to-end machine learning pipeline from scratch using MLflow b) clean and validate the data using pytest c) track experiments, code, and results using GitHub and Weights & Biases d) select the best-performing model for production and e) deploy a model using MLflow. Along the way, it also touches on other technologies like Kubernetes, Kubeflow, and Great Expectations and how they relate to the content of the class.


Become a Machine Learning Engineer

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Distribution centers often use robots to move objects as a part of their operations. Objects are carried in bins where each bin can contain multiple objects. In this project, students will have to build a model that can count the number of objects in each bin. A system like this can be used to track inventory and make sure that delivery consignments have the correct number of items. To build this project, students will have to use AWS Sagemaker and good machine learning engineering practices to fetch data from a database, preprocess it and then train a machine learning model.


Best IT Training Institute for Online Courses

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It is a subfield of artificial intelligence and is dedicated to the design of an algorithm capable of learning from information. Machine learning has many applications including health informatics, self-driving car, business analytics, and financial forecasting. During Machine Learning Training, you will learn several important topics including the fundamentals of the Machine Learning Course. You will also study the most effective techniques of machine learning during Online Machine Learning. You will also learn about the theory of this course with the practical knowledge in the Machine Learning Online Course.


Time Series Analysis Real World Projects in Python

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If anyone has questions about which course may work best for them, please feel free to contact or message me. I will teach you the real-world skills necessary to stand out from the crowd. Hardly it can be 8-10 hours.. Professionally, I am a Data Scientist having experience of 7 years in finance, E-commerce, retail and transport. From my courses you will straight away notice how I combine my own experience to deliver content in a easiest fashion. To sum up, I am absolutely passionate about Data Analytics and I am looking forward to sharing my own knowledge with you!


7 FREE Math Courses for Data Science on Udacity

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Are you looking for FREE Math Courses for Data Science? If yes, then this article is for you. In this article, you will find the 7 FREE Math Courses on Udacity for Data Science. These free courses will help you to learn statistics, probability, linear algebra, and calculus. All courses are completely free.


9 Best Data Analyst with R Online Courses

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Do you want to learn data analytics with R? If yes, then Good Decision! Because R programming has various statistical and graphical capabilities. R has a huge variety of libraries to perform statistical analysis. Some most powerful visualization packages in R are ggplot2, ggvis, googleVis, and rCharts. So, if you are looking for a data analyst with R online courses, then this article will help you.