Get yourself trained on Hands-On Fundamentals of with this Online Training Hands-On Fundamentals of Data Science with Go.
Online Training Hands-On Fundamentals of Data Science with Go
Go (also known as Golang), created at Google, is increasingly proving to be faster, easy to code in, highly efficient and concurrent programming languages. It is the next-gen language of data science, machine learning and AI in general – as it strikes a great balance between productivity and maintainability of code. Many data scientists prototype models, which are then deployed to production by someone else, Go will allow you to do both! In these videos, you will get complete hands-on guidance on how to perform data mining, natural language processing, machine learning, linear algebra and understand in detail how you can use these to boost data science projects in your teams using Go. You will gain practical coverage on how to do data collection, data cleaning and mining, use of statistical models for analysis and data visualization. You will also get to use cutting-edge libraries in Go, and use them with popular datasets used by the machine learning community. The course would also guides you to build real-life hands on projects like twitter bot which tweets on your behalf, sentiment analysis on movie reviews using Nave Bayes and decision trees, two different kinds of recommendation systems to recommend movies and a regression model to perform stock prices forecasting, along with performing your own data visualizations in Go.You will get a complete hold on the use of statistics, linear algebra and understand in detail how you can boost your data science using Go. You will gain practical coverage on how to do data collection, data sanitation and munging, the use of statistical models for analysis and data visualization. The video would also get you couple with the fundamentals of machine learning along with a quick run through in implementing models such as Decision Trees, Naive Bayes, SVM and so on. You will also get to know how you can work with big data processing tools like Apache Spark and Kafka in your data science projects. The course would also get you through a couple of examples like recommendation system, sentimental analysis and stock prices forecasting. About the Author : Hands-On Fundamentals of Data Science with Go Sanket Gupta is a New York based Engineer who has experience of working on various data science projects in several languages like Go and Python. He is an active contributor to the data science community and his blogs have been featured on various publications. He is passionate about teaching and educating in the area of data science. He enjoys travelling, reading astronomy books and listening to classic rock.
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
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Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.