Artificial Intelligence and Machine Learning are here to stay. Why? Because the majority of the industry verticals are harnessing the power of AI and ML, leveraging them for a better tomorrow, and creating multiple job opportunities in doing so.
As an aspiring professional, you can now master these current cutting-edge technologies and earn a long and rewarding career ahead.
Are you thinking about beginning a career in this domain but not sure where to get started? Are you wondering about how to start learning AI? Do you wonder how to learn AI and Machine Learning? Are you curious about the best site to learn Machine Learning online?
Fret not; we are here for your rescue. This article aims to help you to learn AI and Machine Learning online. Before delving into details, let’s take a look at a few of the frequently asked questions by people who wish to learn AI.
In this article,we cover:
Lately, ML and AI have gained traction because of recent innovations like intelligent voice assistants, self-driving cars, robotic process automation, and whatnot. All of this has taken the world by storm, and nowadays, everyone wants to learn more about these technologies.
So, why should you learn AI and Machine Learning (ML)? Because if you don’t, you are likely to be a dinosaur in the world of technology by the end of 2021 – in the words of the American entrepreneur, Mark Cuban.
Knowledge of datasets like Data discovery and management in any applications, such as Excel or SQL, is the basic requirement one needs to have before pursuing a Machine Learning course. Even if one doesn’t have any knowledge about this, Machine Learning can be understood by understanding how Data is treated using common languages like R or Python for Data Science, which is often used to perform Machine Learning algorithms.
Artificial Intelligence-based models need Data to train and operate properly. Thus, AI can also be understood as part of the Data Science discipline. So, yes, the path to learn AI passes by Data Science.
Coding is needed for AI and machine learning, but “a lot” can be said in exaggeration. A significant number of incredibly complex machine learning models contain at maximum 2-3 lines of code. Again, the number of codes depends on the degree of development of a model. If a model is developed from scratch, then there are more codes. However, if a package is used, the number of codes is considerably smaller.
In particular, these areas are not programming-oriented fields, so yes, people who have no programming experience can also learn AI and Machine Learning. People with a Computer Science background will have an added advantage, but it is not the only prerequisite.
The field of AI and ML is in constant flux and is evolving day by day. There are not many academic institutions that provide a formal degree. So, the question that arises is, how to learn AI and Machine Learning?
After thorough research, we have come up with the best ways to learn AI and Machine Learning:
Reading books is the most basic and traditional way of knowing about any field, especially when it comes to AI and ML.
There are a lot of e-books available, like Artificial Intelligence: A Modern Approach. This is among the best-selling books if one wants to know how to learn AI from scratch. This book is written by AI experts Stuart Russell and Peter Norvig. This book covers the A-Z of Artificial Intelligence, including intelligent agents, first-order logic, reinforcement learning, and learning with neural networks. The second edition of this book is available on Amazon.
Various websites and blogs related to Data Science are available online, addressing questions such as ‘What is the best site to learn AI?’ and a lot more relevant questions. The website and blogs constitute one of the most important learning tools and also demonstrate many practical skills and experiences.
Kdnuggets, Kaggle, the DataCamp etc., are among the most popular blogs and websites. For example, additional sources, such as Reddit’s or Google News on Data Science, form an important part of news related to data science.
Online programs are the best ways to learn AI from scratch.
Let us look at some of the resources that teach you how to learn AI and Machine Learning:
How to start learning AI and ML? If you are a beginner at these technologies, HackerEarth is a recommended online resource for developers and engineers who want to learn AI. This website offers a variety of product guides and blogs that talk about how to learn AI and Machine Learning.
Another interesting resource by Google, the “Introduction to Machine Learning Problem Framing” is a one-hour online course that helps you frame and solve problems using Machine Learning. Some of the training objectives include constructing your dataset and training your ML model. However, if you are a beginner, you’ll need a course that covers everything from the most basic concepts to the most advanced algorithms. For that, you might want to consider the third option.
Curated by industry experts, this is an online 3-month program. Jigsaw Academy’s Full Stack Machine Learning and AI program is focused on enhancing students’ knowledge base through capstone projects, case studies, and industry-relevant certification. A good option if you are interested to learn AI from a structured curriculum by industry experts. Jigsaw Academy is the best site to learn AI and Machine Learning.
For beginners with no programming experience, learning Python programming can give you the confidence and the steppingstone on how to master Artificial Intelligence and Deep Learning technologies. Data Science with Python is another great option as it allows you to build and implement popular Predictive Analytics algorithms, including Regression and Forecasting, and classification and segmentation ML algorithms like K Means and Random Forest using Python. This one is particularly suited for beginners with an inclination towards Data Science.
What does an ML engineer do in the real world? Fast.ai is among the best online resources that talk about how to learn AI and Machine Learning as well as the application of the knowledge to real-world problems. You can learn about which ML model to implement based on the problem and how to deploy your model into production. Read this engaging post by co-founder Rachel Thomas, where she talks about how to automate ML and other latest technology innovations.
Do you want to know what is the self-starter way to learn AI and Machine Learning on your own – without any paid course to attend? Here is a self-starter way to learn AI and Machine Learning from Elite Data Science. This online guide contains a complete set of free resources where you can learn AI and Machine Learning free online. Additionally, there are free goodies like the top 10 tips for beginners – along with guides on how to learn to work on ML projects.
Among the best sites to learn AI and Machine Learning, Grokking Deep Learning in Motion is a live video course conducted by Beau Carnes. In this video learning session that spans over 5 ½ hours, Beau breaks down the Deep Learning technology through video instructions and teaches you about neural predictions, visualization algorithms, and building neural networks.
There are no right or wrong ways of learning AI and ML technologies – the more, the better! These valuable resources can be the starting point for your journey on how to learn Artificial Intelligence and Machine Learning. Do pursuing AI and ML interest you? If you want to step into the world of emerging tech, you can accelerate your career with this Machine Learning And AI Courses by Jigsaw Academy.