Fast track to ML, Data Science and Steganography

[mitsumi]

Fast track to ML, Data Science and Steganography
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 134 MB
Genre: eLearning Video | Duration: 45 lectures (38 mins) | Language: English

 Standard measures / metrics of ML, Data Science & Steganography

What you'll learn

    General / Statistical Measures
    Data Science measures / metrics
    Machine Learning measures / metrics
    Steganography measures / metrics

Requirements

    For Machine Learning metrices basics of ML should be cleared
    For Steganography, basic Cryptography and Image Processing should be known

Description

Guide:

Aanchal Singhal

This is a brand new Machine Learning, Data Science, and Steganography based course updated with the latest trends and skills!

This is the first course in Udemy which will provide you detailed information about Steganography.

The topics covered in this course are:

- General / Statistical Measures

- Data Science Measures

- Machine Learning Measures / Performance metrics

- Steganography Measures / Metrics

Like every presentation need the final touch, this course will cover your gaps in Data Science, Machine Learning, and also in the newly trending topic Steganography. By the end of this course, you can be a Machine Learning, Data Scientist, Steganography expert, and can be get hired at large companies. This course will straight forward deliver rich information to users. Whether you are new to programming, or want to level up your Data Science skills, or are coming from a different industry, this course is for you. Machine Learning has applications in Business Marketing and Finance, Healthcare, Cybersecurity, Retail, Transportation and Logistics, Agriculture, Internet of Things, Gaming and Entertainment, Patient Diagnosis, Fraud Detection, Anomaly Detection in Manufacturing, Government, Academia/Research, Recommendation Systems and so much more. The skills learned in this course are going to give you a lot of options for your career.

See you inside the course!

Who this course is for:

    Data Science Enthusiast
    Machine Learning Enthusiast
    Image Processing Enthusiast
    Cryptography Enthusiast
    Statistics enthusiast

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