This is the introductory lesson of the Deep Learning tutorial, which is part of the Deep Learning Certification Course (with TensorFlow). In this lesson, we will be introduced to Deep Learning, its purpose, and the learning outcomes ofthe tutorial.
Boost your career with this PG in Data Analytics, in partnership with Purdue University & in collaboration with IBM, featuring masterclasses from Purdue University and IBM.
Welcome to the Introduction to statistical analysis and business applications tutorial offered by Simplilearn. The tutorial is a part of the Python for Data Science Certification Training Course.
This course is designed to cover one of the most interesting areas of machine learning called classification. I will take you step-by-step in this course and will first cover the basics of MATLAB.
The zesty Mark Lasoff will cover everything the Python beginner wants to know about Python. Watch, learn and do Python like the third of a million people who have benefited from this prolific expert!
Learn both technical and business thinking skills, and get career support to get hired. All data analysis starts with a question. But how does one ask the right question?
The demand for Data Scientists is immense. In this course, you'll learn how you can play a part in fulfilling this demand and build a long, successful career for yourself.
Are you doing deep data prep and analysis? Responsible for creating content for others? If you have Tableau Prep and Tableau Desktop, these videos are for you. Learn how to prepare, analyze, and share your data.
Gain an in-depth understanding of Google Analytics and marketing analytics. Analyze data and build models with Excel, Data Studio, and create informative data visualizations with Tableau.
Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL, Command Line, and Git.
Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use R, SQL, Command Line, and Git.
Apply computer vision and deep learning to automotive problems,learn sensor fusion & filter data from an array of sensors in order to perceive the environment. Finally work with a team to program Carla, Udacity's real self-driving car.
