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Machine Learning Fundamentals

  • Development
  • Dec 13, 2024
SynopsisMachine Learning Fundamentals, available at $19.99, has an av...
Machine Learning Fundamentals  No.1

Machine Learning Fundamentals, available at $19.99, has an average rating of 4.06, with 18 lectures, based on 9 reviews, and has 2013 subscribers.

You will learn about Python Programming Machine Learning Introduction to a sample Data Science project Machine Learning Examples This course is ideal for individuals who are Any Student who is keen to learn Machine Learning It is particularly useful for Any Student who is keen to learn Machine Learning.

Enroll now: Machine Learning Fundamentals

Summary

Title: Machine Learning Fundamentals

Price: $19.99

Average Rating: 4.06

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Python Programming
  • Machine Learning
  • Introduction to a sample Data Science project
  • Machine Learning Examples
  • Who Should Attend

  • Any Student who is keen to learn Machine Learning
  • Target Audiences

  • Any Student who is keen to learn Machine Learning
  • Academy of Computing & Artificial Intelligence proudly presents the course “Machine Learning Masterclass – Part 1 – Fundamentals”.It all started when the expert team of the Academy of Computing & Artificial Intelligence were having a discussion with hiring managers on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2021. We were able to conclude that having knowledge of Machine Learning is going to be a key requirement when it comes to hiring people. Hence, we came up with a part-by-part course series.

    To make the course more interactive, we have also provided a code demonstration of a real-world project where we explain to you how we could apply each concept/principle [Step by step guidance].

    At the End of this course you will be able to setup and build a project for Vehicle detection and counting

    Requirements

  • Here’s the checklist:

  • A computer – Setup and installation instructions are included.

  • Your enthusiasm to learn

  • Everything else needed is already included in the course.

  • At the end of the course, you will understand the basics of Python Programming and the basics of Machine learning.

    The course will have step-by-step guidance for Machine learning & Python for Machine Learning.

    You can enhance your core programming skills to reach the next level where we will discuss more advanced topics on Machine Learning.

    Does the course get updated?

    We continually update the course as well.

    What if you have questions?

    we offer full support, answering any questions you have.

    Who this course is for:

  • Beginners with no previous python programming experience looking to obtain the skills to get their first programming job.

  • Anyone looking to build the minimum Python programming skills necessary as a pre-requisite for moving into machine learning, data science, and artificial intelligence.

  • Who want to improve their career options by learning Machine Learning.

  • Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Introduction

    Lecture 2: What is Machine Learning

    Lecture 3: How to learn Data Science

    Lecture 4: Job Opportunities & Salaries of Data Science Professionals

    Lecture 5: Top Trends in Data Science

    Lecture 6: Job Profile of a Data Scientist

    Chapter 2: Real world project demo

    Lecture 1: Vehicle Detection and Counting with Computer Vision – Project Review

    Chapter 3: Extra resource

    Lecture 1: MIT Lecture – Introduction to Machine Learning

    Lecture 2: Stanford CS229: Machine Learning lecture by Andrew NG

    Chapter 4: Data Science & Machine Learning Resources

    Lecture 1: How To Install Python 3 on Windows 10

    Lecture 2: How to Install Python 3 on Mac

    Lecture 3: Push custom analytics to Netezza database

    Lecture 4: Introduction to machine learning

    Lecture 5: Apply filters for tissue segmentation

    Lecture 6: Python for Scientific Research

    Lecture 7: Whole-slide Image Preprocessing in Python

    Lecture 8: Explore Python, machine learning, and the NLTK library

    Lecture 9: Namespaces and Scope in Python

    Instructors

  • Machine Learning Fundamentals  No.2
    Future AI – Academy of Computing & Artificial Intelligence
    Engineer
  • Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 0 votes
  • 3 stars: 1 votes
  • 4 stars: 4 votes
  • 5 stars: 3 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!