Become a Machine Learning Engineer: The Ultimate Guide

Focused View

Algorithm Alley

8:15:56

66 View

1 - Introduction

1 - Introduction.mp4

02:54

2 - Fundamentals of Machine Learning

2 - Machine Learning Vs Artificial Intelligence Vs Neural Networks.mp4

09:45

3 - Working with Data for Machine Learning.mp4

03:59

4 - The Types of Machine Learning.mp4

09:18

3 - TensorFlow

5 - Google Colab Notebooks for this module.txt

5 - Introduction to TensorFlow Part One.mp4

11:17

6 - Exploring TensorFlow.mp4

19:12

6 - Notebook for this module.txt

4 - Core Learning Algorithms

7 - Learning algorithms.txt

7 - Machine Learning algorithms.mp4

01:45:39

5 - Neural Networks

8 - Neural Networks Notebook.txt

8 - Understanding Neural Networks.mp4

57:30

6 - Computer Vision Convolutional Neural Networks

9 - Notebook.txt

9 - Understanding CNNs Computer Vision.mp4

57:45

7 - Natural Language Processing with Recurrent Neural Networks RNNs

10 - Notebook.txt

10 - the Power of Recurrent Neural Networks RNNs for NLP.mp4

01:27:15

8 - Reinforcement Learning with QLearning Mastering Intelligent DecisionMaking

11 - A Framework for Optimal DecisionMaking.mp4

44:07

11 - Notebook.txt

9 - Conclusion and Next Steps

12 - Building your own ML journey.mp4

01:27:15

Description

Get hands-on experience with real-world machine learning projects and master the latest machine learning techniques.

What You'll Learn?

Understand the basics of machine learning, artificial intelligence, and deep learning.
Be able to build and train machine learning models.
Be able to build and train machine learning models.
Be able to use Python for machine learning.
Be able to deploy machine learning models to production.
Be able to use TensorFlow, a popular deep learning library in Python.
Be able to use scikit-learn, a popular machine learning library in Python.

Who is this for?

Beginners: If you're new to machine learning, this course is a great place to start. I will teach you everything you need to know to get started, from the basics of mathematics and programming to the latest trends in machine learning.

Intermediate learners: If you have some experience with machine learning, this course will help you take your skills to the next level. I will cover more advanced topics, such as deep learning and neural networks.

Professionals: If you're a professional who wants to stay up-to-date on the latest trends in machine learning, this course is for you. I will cover the latest research and development in the field, so you can be sure that you're using the latest techniques.

What You Need to Know?

A willingness to learn: Machine learning is a complex topic, so learners should be willing to put in the effort to learn the material.

Some experience with programming: This could be in any programming language, but Python is the most popular choice for machine learning.

More details

Description
Machine learning is one of the most in-demand skills in the tech industry today. Machine learning engineers are responsible for building and deploying machine learning models that solve real-world problems. In this course, you will learn the skills you need to become a machine learning engineer.
We will start by covering the basics of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. We will then discuss the different types of machine learning models, such as neural networks, decision trees, and support vector machines. We will also cover the latest machine learning techniques and frameworks, such as TensorFlow and PyTorch.
In addition to the theoretical concepts, we will also provide you with hands-on experience with real-world machine learning projects. You will build a machine learning model to classify images, predict customer churn, and recommend products.
By the end of this course, you will have the skills you need to build, deploy, and maintain machine learning models. You will also be prepared for a career in machine learning engineering.
This course is designed for anyone who wants to learn machine learning engineering. No prior experience with machine learning is required.
The course is delivered in a video format, with each lecture accompanied by slides and code examples. You will also have access to a forum where you can ask questions and interact with other learners.
If you are interested in learning machine learning engineering, then this course is for you. Enroll today and start your journey to becoming a machine learning engineer!
Here are some of the benefits of taking this course:
Learn the skills you need to build and deploy machine learning models
Master the latest machine learning techniques and frameworks
Get hands-on experience with real-world machine learning projects
Prepare for a career in machine learning engineering
Join a growing community of machine learning enthusiasts

Who this course is for:
Beginners: If you're new to machine learning, this course is a great place to start. I will teach you everything you need to know to get started, from the basics of mathematics and programming to the latest trends in machine learning.
Intermediate learners: If you have some experience with machine learning, this course will help you take your skills to the next level. I will cover more advanced topics, such as deep learning and neural networks.
Professionals: If you're a professional who wants to stay up-to-date on the latest trends in machine learning, this course is for you. I will cover the latest research and development in the field, so you can be sure that you're using the latest techniques.

User Reviews

Rating

average 0

Total votes0

Focused display

Machine Learning

Algorithm Alley

Instructor's Courses

I am a software engineer with over 10 years of experience in the field. I have studied and learned various fields of the computer, including machine learning, AI, web, and mobile development. I am passionate about teaching and sharing my knowledge with others. I am confident that I can help you learn the skills you need to succeed in your career.I have a strong understanding of the latest technologies and trends in the software industry. I am also an excellent communicator and educator. I am able to explain complex concepts in a clear and concise way. I am also able to engage students and keep them motivated.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.