Machines, too, are generating and keeping more and more data. To process such large datasets, there is a need for specialized tools. Learn directly from industry practitioners with more than 17 years of corporate experience with companies like Fidelity, Accenture, Nielsen, Genpact, Dell, Infosys etc. Go beyond using only functions and standard libraries of R/Python/SAS. Work hands-on real-life cases and industry projects with mentoring/guidance and create your project portfolio. As some estimates suggest, at least 2.5 quintillion bytes of data are produced every day.
The objective of this course is two-folds – first, to understand what Machine Learning Operations is and why it is a key component in enterprise production deployment of machine learning projects. Second, to expose students to software engineering, model engineering and state-of-the-art deployment engineering with hands-on platform and tools experience. Ready to get started with a baseline, vendor-neutral data analysis certification that proves your data analytics skills to employers? Sign up nowto find out more about CompTIA’s data analytics training solutions as they become available.
Learn how to create and evaluate machine learning models as well as make predictions using BigQuery ML. Prove your knowledge by completing the quest and sharing your skill badge. Gain essential skills you can apply to your first Google Cloud project. You’ll learn how to write Cloud Shell commands, deploy your first virtual machine, and run applications on Kubernetes Engine or with load balancing. Dataprep Service to prepare data for analysis and machine learning. Artificial Intelligence Add intelligence and efficiency to your business with AI and machine learning.
Owing to the rapid growth of the sector, professionals from data analytics are high in demand in logistics. We all are well aware of how the US-based Tesla has transformed the way we look at passenger vehicles using automation. It is important to take note of what Elon Musk and Tesla have done, but there’s a lot more when it comes to transportation and data analytics. Analytics in transportation has made the industry safe and more efficient.
Gave me insights of AWS especially in regards S3, RDS, EC2, ELB and Auto Scaling. The trainer was very patient and answered every question that everybody / anybody had during the training. The trainer handled our questions with ease and delivered the training with interesting content and made the session very interactive. He is definitely the person to rely on if you wish to do your Cloud trainings. Highly satisfied and would recommend for further trainings.
This course introduces students to how optimization and simulation techniques can be used to solve many real-life problems. This course teaches students how to work with real-world data and leverage analytics to help solve business problems. Practicing successful project delivery through effective data discovery, communication, influential team leadership and client relationship management. The demand for analytics and data-driven decision making creates a market demand for expertise driven leadership – evidenced in knowledgeable consultants that bring data science and results-driven impact to clients. Required depending on the results of a linear algebra pre-test. If required, the course must be taken online prior to program start.
In this course, we will see each of the performance measures that will help you to quantify the performance of the model and decide which algorithm will be most suited according to the problem at hand. Tree-Based Models are considered as key algorithms in supervised machine learning. They provide high flexibility in training as there are many hyperparameters to tune.
This course aims to teach some advanced techniques and topics in combinatorics. In particular, we would like to cover probabilistic method which is not covered in the introductory course `graph theory and combinatorics’. Moreover the course would aim to cover to some extent the linear algebraic methods used in combinatorics.
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