AI News, 30 Free Resources for Machine Learning, Deep Learning, NLP & AI

30 Free Resources for Machine Learning, Deep Learning, NLP & AI

This is a collection of free resources beyond the regularly shared books, MOOCs, and courses, mostly from over the past year.

They start from zero and progress accordingly, and are suitable for individuals looking to pick up some of the basic ideas, before hopefully branching out further (see the final 2 resources listed below for more on that).

For many good reasons, much of the highest quality machine learning educational resources tend to have a very strong focus on theory, especially at the beginning.

Covering machine learning right from basics, as well as coding algorithms from scratch and using particular deep learning frameworks, these resources cover quite a bit of ground.

But what if you've completed these, have already gained a foundation in NLP and want to move to some practical resources, or simply have an interest in other approaches, which may not necessarily be dependent on neural networks?

With more and more institutes of higher learning today making the decision to allow course materials to be openly accessible to non-students via the magic of the web, all of a sudden a pseudo-university course experience can be had by almost anyone, anywhere.

Have a look at the following free course materials, all of which are appropriate for an introductory level of AI understanding, some of which also cover niche application concepts and material.

What are the best resources to learn about deep learning?

One of the reasons for this is that deep learning is a field with a huge amount of design choices -- what deep learning architecture to use, what training algorithm to use, etc.

was first active in neural nets back in the early 1990s and remember that the field was still struggling with many basic concepts such as good generalisation and overfitting.

Looking back I think the field was perhaps mesmerised by these incredibly powerful neural network tools that could in principle do anything -- everthing was a neural network, and everything could be solved by a neural network.

There were certainly some enlighted researchers from outside the neural net community looking in, but I think we got a poor reputation for not being outward looking enough.

In the 2000s we went through a tremendous maturation period in which the connections to a range of different communities (information theory, optimisation, statistics) became much better understood and I think the ML field benefitted enormously from that.

We're in a much better position now to understand what the benefits of deep learning might be compared to alternative approaches since we know much better how non deep learning approaches behave on AI tasks.

Even today there are deep learning tutorials online that are deeply misleading, largely because the authors don't understand the basics of machine learning and statistics.

Yoshua Bengio's book Deep Learning looks very nice since it contains, in addition to a nice intro to deep learning, some material on the basics of machine learning as well.

12 of the best free Natural Language Processing and Machine Learning educational resources

Advances in of Natural Language Processing and Machine Learning are broadening the scope of what technology can do in people’s everyday lives, and because of this, there is an unprecedented number of people developing a curiosity in the fields.

We’ve split these resources into two categories: The resources on this post are 12 of the best, not the 12 best, and as such should be taken as suggestions on where to start learning without spending a cent, nothing more!

Top Resources to Learn Electrical Engineering Online (for Free): The 50 Best Courses, eBooks, Programs, Tutorials and More

Whether you are a high school student looking forward to graduating and moving on to a career in electrical engineering or someone looking to go back and study a different field than the one in which you currently work, it can be difficult to find programs and courses suited to your needs that also are affordable.

Well, thanks to the internet, partnerships between higher education institutions and open courseware providers, and new licensing guidelines, it is possible to learn electrical engineering online.

And, in this case, we decided to sweeten the deal and scour the internet for the most reputable, reliable sources of information on electrical engineering that just so happen to be free.

Several of the resources we’ve chosen received rave reviews from previous and current students who highly recommend them to people just beginning to study electrical engineering.

The best part about Arduino is that they provide materials for purchase as well as free online video tutorials so that beginners in electrical engineering can gain hands-on experience and practice.

With more than 70 electrical engineering courses to choose from, the National Programme on Technology Enhanced Learning (NPTEL) is one of the most useful online resources for anyone interested in studying electrical engineering.

Available through edX, a nonprofit dedicated to giving everyone access to education through a Massive Open Online Courses (MOOC) platform, Circuits and Electronics has everything to offer someone just beginning to learn electrical engineering.

With course offerings from some of the top universities, including Rice University, Coursera is a great resource to browse and select just the right learning opportunity for your electrical engineering studies.

Electrical Knowhow offers courses, a download library, a quiz and answer section, and more to help people on their quest to learn electrical engineering online.

An e-learning site, aims to provide educational materials for polytechnic college students in India, but they strive to provide content to the learning community at large.

The Fourier Transform and Its Applications strives to provide students of electrical engineering with “a facility with using the Fourier transform, both specific techniques and general principles, and learning to recognize when, why, and how it is used.”

With over 600 free, interactive certification and diploma courses, ALISON is a fantastic resource for anyone looking to educate themselves, but it is a great choice for people looking to learn electrical engineering.

What makes SkilledUp so attractive to students is that it compiles dozens of courses from reputable universities and services so that prospective students can choose the course that’s right for them.

The course includes 12 weeks of study, with an estimated 8-10 hours of work/week, the course syllabus, suggested readings, lecture videos, quizzes, and more.

An online electrical engineering study site, Electrical4u provides information and study notes, questions, engineering animation, video presentations, and more.

The site is created and run by a team of experienced electrical engineers in various fields of electrical technology, so individuals looking to learn electrical engineering can trust the expertise available from Electrical4u.

For those looking to study electrical engineering, FreeVideoLectures is a great resource for lectures and tutorials covering a broad range of topics related to the electrical engineering field.

Their engineering courses are specifically geared to people who are serious about learning electrical engineering online, and they are provided by some of the world’s top universities and professors and available for download to your computer or mp3 player.

As for electrical engineering, Academic Earth offers more than 15 courses, plus has links to electrical engineering journals and trade magazines, plus links to grants and scholarships, internships, and student and professional organizations related to the field.

Courses begin at dates throughout the year, and participants can browse the extensive list of offerings to choose those that best suit their educational and scheduling needs.

This database of videos contains dozens of lectures related to electrical engineering, so people wishing to learn more about the industry should browse the topics and choose those that are of most interest to them.

Featuring measurements, lesson notes, study guides, and other resources, Exploring Electrical Engineering would be a great place to start for people interested in starting electrical engineering studies.

Electrical engineering students will appreciate the ability to search videos by latest courses or most viewed courses, plus the wide variety of topics covered by the more than 30 offerings provided by Dnatube.

course offering from Tokyo Tech OpenCourseWare, Guided Wave Circuit Theory focuses on guided wave theory and “its application to the design of guided wave circuit in microwave, millimeter-wave and optical regime.”

The courses from Energy University are geared toward energy experts, students, or anyone who wants to advance their career in the electrical industry, so they are perfect for people who want to learn about electrical engineering online.

Its electrical engineering offerings are from some of the leading experts at MIT, Stanford, and other top universities, so anyone interested in learning more about the topic can rest assured that the video lectures from Minerva+ are informative and educational.

Using the search term electrical engineering, site visitors will find tutorials, articles, lectures, presentations, and more to help them learn about electrical engineering online.

However, their online resources are available to anyone, and they especially useful to people looking to learn electrical engineering online because they include a list of free online courses in computer science and electrical engineering.

resource for courses in a number of fields, MyFreeCoursesOnline features many useful links to people looking to pursue a new career or further their education.

Other features of the site include links to other classes related to the electrical and engineering fields, projects and kits, and more that will be of interest to people seeking to learn about electrical engineering.

This series covers a multitude of topics related to equations, circuits, and other information that those aiming to learn about electrical engineering will find useful and informative.

In terms of electrical engineering, dozens of lectures are available from Course Hero from experts in the field from reputable higher learning institutions, including Brad Osgood of Stanford, David Forney of MIT, David Culler of UC Berkeley, and others.

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