1 / 7

Key Difference Between Data Science

Key Difference Between Data Science And Machine Learning<br>Basic Concept,Benefits, Applications, Top tools.<br>.https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/<br>

mathi3
Download Presentation

Key Difference Between Data Science

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Key Difference Between Data Science And Machine Learning https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  2. Table Of Content 1. Basic Concept 2. Benefits 3. Applications 4. Top Tools https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  3. Basic Concept The extraction and analysis of important data-related details are called data science. It covers the techniques for visualizations, cleaning, analytics, data mining, and creating useful insights. Machine learning is the element of data science that allows a system to process datasets automatically but without human involvement. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  4. Benefits 1. Machine learning helps with marketing and predicting exact sales. Useful for making a precise medical diagnosis Helping the removal of data duplication and errors Sensitivity to spam detection Make the right product recommendations. 1. Data science helps in identifying and modifying target audiences. Make sure there is improved communication between service providers and users. Enhanced risk estimates and increased business value. 2. 2. 3. 4. 5. 3. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  5. Applications Data Science Machine Learning Video surveillance with a virtual personal assistant. Monitoring for online fraud. Using social media. Filtering email for spam and malware Operational client support. 5. Product suggestion. 1. 1. 2. 3. 4. 5. 6. Fraud and Risk Detection. Autonomous Vehicles. Image Identification. Speech Recognition. Routing an airline. Search engines on the internet. 2. 3. 4. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  6. Top Tools Data Science Machine Learning 1. 2. 3. 4. 5. Python. R Program Jupyter Notebook Tableau Keras 1. 2. 3. 4. 5. Python. C++ R Program Jupyter Notebook Tableau https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  7. THANK YOU! For Information ,Please Visit: https://1stepgrow.com/

More Related