machine learning and artificial intelligence

Technological advancements have time and again surprised us to the core with inventions that were beyond the capacity of our comprehension level. With Artificial Intelligence and Machine Learning taking the world by storm, every industry has witnessed a humongous change. From the healthcare sector, education to travel and banking, new trends in AI have truly empowered us by improving our lives for better.

Machine Learning and Artificial Intelligence

If this field seems fascinating to you, then you must begin to learn it. However, it is easier said than done. To understand the tricky concepts and essential topics of this area, you must have a list of handpicked resources that can provide you with the much-needed information and knowledge about AI and machine learning in the easiest way. In this article, you will get to learn something that the whole world doesn’t seem to stop gushing about. Let’s get started without much ado!

Take a Coursera’s machine learning course 

Like we have already said earlier that understanding the concepts of machine learning is not as easy as falling off the log, you need to go for a descriptive course that can increase your knowledge about this field. We suggest you take a Coursera’s machine learning course that can introduce you to data mining, statistical pattern recognition, evolutionary computation, ensemble learning methods, and whatnot.

Read Artificial Intelligence: a modern approach

Written by Stuart J. Russell and Peter Norvig, this book has been touted for being the best textbook on artificial intelligence and has used in over 1400 universities and institutions worldwide. It constitutes 27 chapters, which mainly talk about how AI supports decision-making, logical reasoning, and planning, and ways that it can succeed in the near future.

MIT OpenCourseWare 

This course features incredible video lectures and interactive demonstrations that help learners gain a profound understanding of how Artificial Intelligence works in a variety of situations and supports different types of industries. After taking this course, you will be able to get the hang of methods of AI, problem-solving techniques, concrete computational problems, and much more.

Udacity’s Machine Learning Course from Google

In today’s day and age, more and more students wish to study machine learning as they want to make a career in data analysis, which is one of the fastest-growing job prospects. By learning the concepts of machine learning, you can become proficient at converting all the raw data into predictions and decision-making trends. With a powerful amalgamation of computer science and statistics, machine learning has made it possible to make logical predictions. In this course, you will learn how to investigate the data with the methods of machine learning and how to work on algorithms efficiently.

Columbia University

You can take this online course on machine learning offered by Columbia University for FREE. During your course, you will study pattern recognition, computational learning theory, essentials of machine learning and algorithms, models and applications for solving problems, and so on. With exercises and study material for you to practice, undoubtedly, the journey won’t be a piece of cake. However, with persistent efforts and continuous practice of over 12 weeks, you will be able to proudly say- Yes I know about machine learning!

Learn with Google AI

Everyone knows how AI has proved to be beneficial in solving challenging problems, except those who are probably living under the rock. With the help of a resource like ‘Learn with Google AI’ learners and enthusiasts can educate themselves with the concepts of ML and apply them to seek the most effective solutions to real-world problems. Here, you will get the advanced tutorials, interactive visualizations, exercises, instructional videos and useful content from the ML experts who hold an exceptional knowledge of this field. So what are you mulling over? Don’t let this opportunity slip by and get yourself enrolled at the drop of a hat.

Stanford University

In this course, you are expected to be taught Artificial Intelligence by Andrew Ng. He is not only the head of AI for Baidu but also the esteemed founder of Google’s deep learning research unit which is named Google Brain. Even if you are on a shoestring budget, you can complete this course as it is for FREE. However, if you need certification to expand job opportunities in this field, then you will have to pay a nominal amount for it. In this course, you will be exploring the basic concepts of machine learning, debugging algorithms, value and policy iteration, generating learning algorithms, speech recognition, and MATLAB tutorials which is a widely-used programming language to deal with the probably-based AI tools.

Nvidia – Fundamentals of Deep Learning for Computer Vision

As humans can see with their eyes and process what they see, computer vision is a sub-discipline of AI that focusses on enabling machines and systems to see by processing visual information. It helps the devices learn how to classify an image and recognize an object just as humans do. With the help of this course offered by Nvidia, you can learn computer vision applications and get a grip on topics like face recognition, gesture recognition, character recognition, texture classification, and whatnot.

Practice Machine Learning with Kaggle

With the help of this great platform, the ML learners and beginners can hone their skills by gaining hands-on experience on the datasets. It is no less than a professional setting where you can participate in discussions, track and review your performance, and practice on datasets to perform analysis and predictions. From Kaggle, you can choose datasets according to your level of understanding and knowledge. It’s time to apply your learning and skills!

Understanding Machine Learning: From Theory to Algorithms

Written by Shai Shalev-Shwartz and Shai Ben-David, you can buy this amazing book online which covers the fundamental concepts of ML and its applications. If buying sounds not so right, then you can even download a PDF of this book provided by Cambridge University for FREE. This book will explain to you in great detail that how you can transform the mathematical equations into AI algorithms that help computer programs to improve their functionalities automatically through experiences and observations.

The process of learning anything which is not-so-ordinary could be overwhelming, but if passion lies deep within you, then there is nothing you cannot achieve. Don’t waste any moment and start learning about Machine Learning and AI with the help of the aforementioned resources. And who knows what you might bring to this world while we are already celebrating the wonders, such as self-driven cars and China’s TV news AI anchor. We wish you good luck!