Top 5 Courses & Certifications to learn Machine Learning in 2022
In our daily lives, we interact with so many devices that are powered by AI such as bots communicating on behalf of a company, using Alexa to control your smart home, searching something on browser, etc. Artificial Intelligence is a branch of computer science that focuses on making the computers that are intelligent enough to make decisions based on their surroundings. This is the most recent technology that aims to make computers think and work like humans. The machines created by AI are highly intelligent, and they can make decisions and perform specific tasks without being instructed. They are capable of thinking and acting like humans. However, the process used to teach the machines to work and act like humans is called Machine Learning.
What is Machine Learning?
A part of Artificial Intelligence that includes the processes to teach machines and computers to work and think like humans is referred to as Machine learning. It allows the software applications installed in AI devices to predict the outcomes more accurately without being programmed to do so. The machine learning algorithms or procedures use historical data as input to the AI devices to predict future results.
Why is Machine Learning Important?
In this era of AI, we are surrounded by many AI devices that help us make better decisions. With the help of machine learning, you can make informed decisions that can take your business to the new peaks of success. The machine learning algorithms are trained to predict future trends and uncover critical insights with statistics and historical data.
Why is Machine Learning So Popular?
Nowadays, one of the most popular technologies is machine learning. The reason behind its popularity is its capability to predict future outcomes with the help of a large amount of historical data. It can handle complex problems and help you find your data in an orderly manner.
Machine Learning Job Market:
Machine learning was an exclusive field about a decade ago and was not so popular. However, it has gained much popularity and potential in recent years as many institutions and organizations have adopted it to enhance their business strategies. Although the machine learning job market is new and dynamic, it has already made its place permanent in several organizations. It has much potential in the online and physical job market compared to other career fields. According to Gartner, it is expected that there will be 2.3 million artificial intelligence and machine learning jobs by the end of 2022.
Machine Learning in Freelance Market:
Besides the physical job market, machine learning is one of the most in-demand skills in the world of freelancing. If you are an expert in this field, you can find lots of job openings for you on different freelance marketplaces such as Fiverr, Freelancer.com, Upwork, and so on.
According to WizCase, Artificial intelligence and Machine learning are the fourth most in-demand skills in the freelance world. More than 156 machine learning jobs were posted in the month of February on Freelancer.com alone. Upwork.com, one of the largest traditional freelance marketplaces, has about 2,218 job openings for machine learning engineers and experts.
You can determine the demand for machine learning experts from the above statistics.
Career Opportunities in Machine Learning:
If you are looking forward to be a machine learning professional, you have lots of career options, mentioned below:
- Machine Learning Engineer
- Data Scientist
- Natural Language Processing Scientist (also called NLP Scientist)
- Business Intelligence (BI) Developer
- Human-centered Machine Learning Designer
How much can You Earn Being a Machine Learning Expert?
According to Glassdoor.com, the average salary of a machine learning engineer is $121,630/year. However, this salary may vary according to your expertise in the subject or the career option you choose. Here are the average salaries of some machine learning professionals:
- Machine Learning Engineer: $121,446/year
- Data Scientist: $117000/year
- Natural Language Processing Scientist: $114,000/year
- Human-Centered Machine Learning Designer: $100,000+/year
Getting Started With Machine Learning:
Now that you know the importance, career options, and the amount of money you can earn by machine learning, you must be thinking about getting started with it. To get started with Machine learning, you need to have some technical skills, analytical skills, and programming skills. However, learning anything in today's world is not difficult, and you can get started with machine learning even if you don't acquire the skills mentioned above.
Best way to learn Machine Learning?
Due to the pandemic, everything has shifted to the Internet. It is now full of tutorials, blogs, articles, books, and online courses that you can take to learn and acquire any technical or non-technical skills. It is the same for machine learning. Plenty of books, tutorials, best machine learning blogs, and courses are available on different platforms to learn machine learning and be a professional. However, despite so many options, the best way to learn machine learning is by taking an online course. There are hundreds of top machine learning courses available, so this article mentions the five best online courses for ai and machine learning below. Let's talk about these courses in some detail:
5 Best
Machine Learning
Courses in 2022:
This Course Includes:
- Duration: 61 hours long course
- Contents: 11 sections • 113 lectures
- Popularity: 4,775,215 students enrolled
- Ratings: 4.9 out of 5 (169,394 ratings)
- Certification: Available
- Level: Intermediate
Coursera is a popular platform to learn anything new, especially IT-related skills. Calling it the best platform to learn machine learning would not be wrong. It has many courses for machine learning that you can take according to your expertise. However, the course mentioned above is the best course for AI and machine learning that you will find on Coursera. It is offered by Stanford University, the 3rd best university in the world. This program covers a broad introduction to machine learning and related concepts such as data mining, pattern recognition, supervised and unsupervised learning, and more. It also covers Silicon Valley's best practices in innovation. By completing this curriculum, you will gain practical knowledge of machine learning techniques by applying them to solve new problems.
Anyone aspiring to be a machine learning professional could take this unquestionably top machine learning certification. It is taught by Mr. Andrew NG, founder of Deep Learning, AI, and Co-founder at Coursera.
Things You'll Learn:
- Introduction
- Linear Regression with One Variable
- Linear Algebra Review
- Linear Regression with Multiple Variables
- Octave/Matlab Tutorial
- Logistic Regression
- Regularization
- Neural Networks: Representation
- Neural Networks: Learning
- Advice for Applying Machine Learning
- Machine Learning System Design
- Support Vector Machines
- Unsupervised Learning
- Dimensionality Reduction
- Anomaly Detection
- Recommender Systems
- Large Scale Machine Learning
- Application Example: Photo OCR
Featured Review:
“I am an experienced ML engineer and I have previously taken many different machine learning courses covering various sub-topics in detail and worked on multiple ML projects. This one covers the base theory the best. In practical terms, a lot of companies won't use MATLAB and I personally like Python more. That language issue is about the only shortcoming, but I understand that it would be better for a beginner to use MATLAB instead.” – Muhammad S A
Best Features of This Course:
The most in-depth and professional Machine Learning course taught by top Instructors
Learn to create a practice project Application: Photo OCR
Top-rated Machine Learning Course on Coursera
Self-paced Learning Style
Affordable Pricing: $39.99/Mo
This Course Includes:
- Duration: 5 months long course
- Contents: 5 courses • 9 hours/week
- Popularity: 677,677 students enrolled
- Ratings: 4.9 out of 5 (122,696 ratings)
- Certification: Available
- Level: Intermediate + Python skill is required
The elementary deep learning (a part of machine learning) course aims to help you understand the basics of deep learning while developing AI technology. During this specialization, you will build and learn making neural network architecture and ways to make them better. This top machine learning certification is comprised of five courses:
- Neural Networks and Deep Learning: This course covers the fundamentals of deep learning and neural networks.
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization: This program helps you understand the processes that play a role in improving performance and generating good results.
- Structuring Machine Learning Project: In this course, you will understand how successful machine learning projects are built and practice decision-making.
- Convolutional Neural Networks: In this fourth course, you will learn about computer vision and its exciting yet useful applications such as face recognition, autonomous driving, and more.
- Sequence Models: In this last course, you will understand the sequence models with the help of their compelling applications, such as speech recognition, chatbots, and more.
Three top instructors have designed this awe-inspiring course at Coursera, i.e., Andrew Ng (Founder Deep Learning, AI, Co-Founder Coursera), Younes Bensouda Mourri, and Kian Katanforoosh. If you wonder which is the best certification for artificial intelligence, this course is your answer.
Things You'll Learn:
- Deep Learning
- Artificial Neural Network
- Backpropagation
- Python Programming
- Neural Network Architecture
- Tensorflow
- Mathematical Optimization
- hyperparameter tuning
- Inductive Transfer
- Machine Learning
- Multi-Task Learning
- Decision-Making
- Facial Recognition System
- Convolutional Neural Network
- Object Detection and Segmentation
- Natural Language Processing
- Long Short Term Memory (LSTM)
- Gated Recurrent Unit (GRU)
- Recurrent Neural Network
- Attention Models
Featured Review:
“Wonderful end to this Deep Learning Specialization. The programming assignments cover up a variety of hot topics in the Deep Learning market. The videos are very well made and teach the content in-depth. A special thanks to Prof. Andrew for yet another amazing course in this wonderful specialization!” – Jason J D
Best Features of This Course:
A foundational program that will prepare you to participate in the development of leading-edge AI technology
Get ready to master theoretical concepts and industry applications using Python and TensorFlow
Highest rated deep learning course on Coursera
Self-paced Learning Style
Affordable Pricing: $39.99/Mo
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This Course Includes:
- Duration: 44 hours of video lessons
- Contents: 45 sections • 320 lectures
- Popularity: 867,212 students enrolled
- Ratings: 4.5 out of 5 (158,289 ratings)
- Certification: Available
- Level: All Levels
The best machine learning course on Udemy is specifically designed for beginners who have zero knowledge of machine learning. It covers the fundamentals of machine learning moving forward to the advanced concepts and algorithms using Python and R (programming languages). By taking this course, you will master machine learning under the guidance of two Data science experts, Mr. Kirill Eremenko and Hadelin de Ponteves one being the data scientist and the other an AI Entrepreneur, respectively.
This is undoubtedly the best machine learning course for beginners which requires only some high school math knowledge. You can take this course:
- If want to develop skills in machine learning
- If you are a beginner or have intermediate knowledge regarding machine learning
- If you are a student looking for a career in data science
- If you will to enhance your business with the help of Machine Learning tools
The curriculum includes hands-on exercises and lots of examples to help you build your own models. This is doubtlessly the best machine learning course for beginners.
Things You'll Learn:
- Data Preprocessing
- Simple Linear Regression
- Multiple Linear Regression
- Polynomial Regression
- Support Vector Regression (SVR)
- Decision Tree Regression
- Random Forest Regression
- Evaluating Regression Models
- Regression Model Selection
- Logistic Regression
- K-Nearest Neighbors (K-NN)
- Support Vector Machine (SVM)
- Kernel SVM
- Naive Bayes
- Decision Tree Classification
- Random Forest Classification
- Classification Model Selection
- Evaluating Classification Models
- K-Means & Hierarchical Clustering
- Apriori & Eclat
- Upper Confidence Bound (UCB)
- Thompson Sampling
- Natural Language Processing
- Deep Learning
- Artificial Neural Networks
- Convolutional Neural Networks
- Dimensionality Reduction
- Principal Component Analysis (PCA)
- Linear Discriminant Analysis (LDA)
- Kernel PCA
- Model Selection & XGBoost
Featured Review:
“This is an amazing course for the beginners who want to understand about everything in machine learning. Thank you to the instructors (Hadelin de Ponteves and Kirill Eremenko) for explained it clearly and easy to understand. I hope this knowledge can help me for developing my start-up, advancing technology, and giving benefits to others.” – Nu'man Amri M.
Best Features of This Course:
Updated and engaging course materials
A comprehensive course packed with practical exercises that are based on real-life examples
Build an army of powerful Machine Learning models and know how to combine them to solve any problem
Highest rated Udemy course on Machine Learning
Self-paced Learning Style
Affordable Pricing: $11.99
This Course Includes:
- Duration: 25 hours of video lessons
- Contents: 27 sections • 165 lectures
- Popularity: 533,507 students enrolled
- Ratings: 4.6 out of 5 (114,149 ratings)
- Certification: Available
- Level: All Levels
Do you want to be a data scientist? If yes, this best online course for artificial intelligence and machine learning is for you. It is indeed the best machine learning course on Udemy covering the use of Python for developing data science algorithms, creating beautiful visualizations, and some of the best machine learning algorithms.
This comprehensive curriculum is designed by Jose Portilla, Head of Data Science at Pierian Data inc. It aims to make you a data scientist with practical exercises to apply what you learn during the program. You can consider taking this course even if you are a beginner or have some programming experience. However, having some programming experience is recommended for taking this course.
Things You'll Learn:
- Course Introduction
- Environment Set-Up
- Jupyter Overview
- Python Crash Course
- NumPy
- Pandas
- Pandas Exercises
- Matplotlib
- Seaborn
- Pandas Built-in Data Visualization
- Plotly and Cufflinks
- Geographical Plotting
- Data Capstone Project
- Introduction to Machine Learning
- Linear Regression
- Cross Validation and Bias-Variance Trade-Off
- Logistic Regression
- K Nearest Neighbors
- Decision Trees and Random Forests
- Support Vector Machines
- K Means Clustering
- Principal Component Analysis
- Recommender Systems
- Natural Language Processing
- Neural Nets and Deep Learning
- Big Data and Spark with Python
Featured Review:
“This was my first course in Udemy, and with this instructor. This was an excellent first class to jump into the world of data science. All of the explanations were clear, and you can tell the instructor truly cares about software education. It covers all the most important topics in machine learning, and gives just enough theoretical knowledge to have some basic understanding of the algorithms behind the scenes. I'm already using some of the knowledge learned (and practiced!) here at work.” – Jerry M.
Best Features of This Course:
The most comprehensive course for data science and machine learning on Udemy
Guide you to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
Highly rated among the communities
Self-paced Learning Style
Affordable Pricing: $11.99
This Course Includes:
- Duration: 43 hours of video lessons
- Contents: 21 sections • 378 lectures
- Popularity: 62,810 students enrolled
- Ratings: 4.7 out of 5 (10,438 ratings)
- Certification: Available
- Level: All Levels
Udemy is undoubtedly the best website to learn machine learning. It offers the best machine learning courses for beginners aiming to provide job-ready AI and machine learning skills. This professional ML course includes the best machine learning resources covering the introductory concepts of data science and machine learning. It takes you to advanced concepts like Neural networks and deep learning. During this course, you will build various projects to build your portfolio. This curriculum claims to be the best machine learning course on Udemy.
This program offers two learning paths:
- For people having experience in Python programming
- For those having zero technical knowledge regarding the subject
For getting enrolled in this program, you need:
- No experience
- A computer with an Internet connection
The designers of this comprehensive class are Andrei Neagoie and Daniel Bourke, two of the best Udemy instructors, one being the founder of zerotomastery.io. This is the most updated and the best certification for machine learning that you will find on the Internet.
Things You'll Learn:
- Introduction
- Machine Learning 101
- Machine Learning
- Data Science Framework
- The 2 Paths
- Data Science Environment Setup
- Pandas: Data Analysis
- NumPy
- Matplotlib: Plotting and Data Visualization
- Scikit-learn: Creating Machine Learning Models
- Supervised Learning: Classification + Regression
- Milestone Project 1: (Classification)
- Milestone Project 2: (Time Series Data)
- Data Engineering
- Neural Networks: Deep Learning
- Transfer Learning and TensorFlow 2
- Storytelling + Communication
- Career Advice + Extra Bits
- Learn Python
- Learn Python Part 2
- Advanced Statistics & Mathematics
- Where To Go From Here?
Featured Review:
“Andrei and Daniel do an excellent job of framing the information in an understandable way. Plus I love Andrei's ongoing framework of placing learning within the context of learning "on the job" through a fictional company and simultaneously setting up expectations of what it's like to work in the field. Another Andrei Neagoie goldmine course!” – Shanay M
Best Features of This Course:
Updated course materials and massive discord community
The most comprehensive and modern course you will find on the subject anywhere
Building professional real-world projects like Heart Disease Detection, Bulldozer Price Predictor, Dog Breed Image Classifier, and many more
Self-paced Learning Style
Affordable Pricing: $11.99
We hope that you will find the best Machine Learning course with the help of this article. Thank you for reading it. If you like our recommended best machine learning courses, share this passage with others so they do not waste their time searching for a perfect course. However, if you are interested in developing more machine learning and data science skills, then check our Top 5 Data Science courses and certifications in 2022. Mastering data science will help you get a highly paid job in 2022. Best of Luck!
Let's COMPARE ALL Five COURSES⚖️
Courses
1. Machine Learning Course by Stanford University – Coursera
2. Deep Learning Specialization by Deeplearning.ai – Coursera
3. Machine Learning Course A-Z™: Hands-On Python & R In Data Science – Udemy
4. Python for Data Science and Machine Learning Bootcamp – Udemy
5. Complete Machine Learning & Data Science Bootcamp 2022 – Udemy
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Course Ratings
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