Machine learning (ML) has steadily grown in worldwide prevalence. Its implications have ranged from little importance, small victories to groundbreaking discoveries. The SEO community is no exception. Understanding and intuition of machine learning can support our understanding of the challenges and solutions facing Google engineers while also opening our minds to the broader implications of machine learning.
The benefits of gaining a general understanding of machine learning include:
- Gain empathy for the engineers, who are ultimately trying to establish the best results for the users.
- Understand what problems machines are solving, their current capabilities, and the goals of scientists.
- Understand the competitive ecosystem and how companies use machine learning to drive results
- Prepare for what many industry leaders call a significant change in our society (Andrew Ng refers to AI as a "new electricity")
- Understand basic concepts that often appear in research (it has helped me understand certain concepts that appear in Google Brain research)
- Growing up as an individual and expanding your horizons (you might really enjoy machine learning!)
- When the code works, data is produced; it is a rewarding and empowering feeling (even if it is a very humble result)
Let’s have a look at these prominent machine learning tutorials.
- Machine Learning A-Z on Udemy
Learn from two data science experts to master machine learning, accurate prediction, and compelling analysis.
There are more than 40 hours of video, 24 articles, and two complimentary resources with included code templates.
Let's explore what you are going to learn from this.
- Setting up a machine learning environment
- Data preprocessing
- Simple/multiple linear, polynomial, logistic, support vector, decision tree, random forest regression
- K nearest neighbors
- Support vector machines
- K-means and hierarchical grouping
- and other things…
Machine Learning AZ The course is perfectly designed to teach you to perform robust analysis and use it in the industry.
- YouTube
If you find it boring to read lengthy textbooks or tutorials, then you will be amazed by this AI learning YouTube channel called "The Artificial Intelligence Channel.
Since March 2008, this channel has provided surprising data, techniques, and insights into the future of AI.
The Artificial Intelligence Channel includes the videos:
- Technological uniqueness
- Transhumanism
- Technological unemployment
- Synthetic biology
- Space
- Basic income, etc.
Around 99.2K subscribers are following his pile of videos and guidance to explore his AI insights.
Learn online when and where you want. All subscribers to this channel are always happy with this rewarding learning.
- AWS AI/ML
Stay up-to-date with advanced machine learning and AI concepts and fundamentals with AWS Machine Learning / AI services and products from Pluralsight trusted by 500 companies. This course is intended for those who want to gain end-to-end learning experience in machine learning and artificial intelligence.
This AWS Machine Learning / AI course includes:
- Amazon lex
- Amazon Comprehend
- AWS Polly
- Amazon Translator
- Amazon Transcribe
- AWS Recognition
- Wise
- Deep learning on AWS
You can master your skills with three levels; start with the beginner course, level up your skills, and finish with the advanced learning.
You can choose multiple paths to learn machine learning by validating your skill level with Pluralsight IQ. Also, you can learn from their software, videos, mobile, and expert-curated courses, and more. This is the best and most-significant machine learning tutorial.
- AI/ML Foundations
If you are looking to expand your machine learning experience on topics ranging from business, animation, programming, and many more, Lynda offers the most flexible learning options. Lynda's courses are now in Learning on LinkedIn.
This course offers a free one-month subscription and premium courses. You can access more than 15,000 Lynda courses led by experts online and offline. All artificial intelligence and machine learning courses will provide practice with exercise files and quizzes. That will help you get a certificate of completion for the course.
- ML/DL Libraries
Fast.ai is known for a research lab that offers free integrated courses to transform the world with AI. These massive open online courses are available in 12 languages (French, Spanish, German, Italian, etc.). You can only attend these courses by requesting your resume for specific training.
Choose the Hands-on Deep Learning for Coders course for deep machine learning by attending seven lessons; each round took 2 hours, and you should plan to spend approximately 10 hours on homework for each assignment.
Let's have an overview of the course:
- Image classification
- Production; SGD from scratch
- Multi-tag; Segmentation
- NLP; Tabulated data; Recommendation systems
- Backprop; Neural Net from scratch
- CNN's deep dive; Ethics
- Resnet; U-net; GAN
If you are looking for the hybrid man and machine solutions, this is the best option to learn and implement.
- Advanced ML Specialization
ALD Specialization The course is available from the Higher School of Economics on Coursera.
Seven modules cover the following.
- Introduction to deep learning
- Winning Data Science Contest
- Bayesian methods
- Natural language processing
- Practical learning by reinforcement
- Deep-learning in machine vision
- Addressing Challenges Using Machine Learning
Once completed, you will get a certificate.
- Machine Learning by Andrew Ng (the best course on Coursera)
It is probably the most prestigious machine learning certification taught by AI and ML pioneer Andrew Ng and Stanford University.
You will be assessed on each subject you learn in this course, and you will be given a certificate based on the completed and final scores.
This course will add value to you as a developer and give you a better understanding of the math behind all the machine learning algorithms.
- Introduction to Machine Learning for Coders
This is the online version of the course given by Jeremy Howard at the University of San Francisco, which is inserted into machine learning and deep learning for people with previous knowledge of programming (specifically Python), adopting a practical approach.
Do decision trees or multilayer neural networks sound familiar to you? Do you know what datasets or validation data are? Do you want to learn how to create a neural network from scratch using PyTorch? Well, that's the kind of thing you can learn with this course.
Howard was the winner of the Kaggle data science tournament in 2010 and 2011, created the email service FastMail (which he later sold to Opera), and later founded the artificial intelligence research institute Fast.AI, on whose platform hosts this and other related courses. In addition, he is the youngest professor at Singularity University.
We hope this list will help you choose and find the right machine learning tutorials for you. Wishing you a great future.
