How to Learn Machine Learning: A Complete Guide to Boost Your Career
It’s fair to say that machine learning is taking over the world. A report frommarketsandmarkets.com shows that the machine learning market is expected to grow from $1.03 billion USD in 2016 to $8.81 billion USD by 2022. In addition, Deloitte Global predicts that the number of machine learning pilots and implementations will double in 2018 compared to 2017, and double again by 2021.
These projections mean that there is also a growing demand for professionals who know the ins and outs of machine learning. If you’ve always wanted to enroll in a course that provides you with the practical knowledge to make your future brighter, now is the perfect time tolearn machine learning.
Before getting into the different ways to learn machine learning, let’s take a look at the basics of machine learning, as well as the different machine learning types and applications.
Anyone who has a basic understanding of machine learning can sharpen their skills through online blogs and materials. There are also some great resources on YouTube, like this Machine Learning Playlist by Simplilearn, which provides excellent foundation-level videos. But the biggest drawback of learning through self-study is that it will take a lot longer to learn the basics, and you might end up making avoidable, but very costly mistakes. You also don’t get the opportunity to learn from and interact with industry professionals, not to mention find it difficult to manage your time when it comes to self-study as well.
Enrolling in an online education program or taking an online course is one of the best ways tomaster machine learning. There are several online course providers in the market, and different modes of online study. You can opt for self-learning courses or virtual classroom courses, or those that blend the two. One of the main benefits of online learning is the flexibility it provides. You can learn at any hour of the day and when it is most convenient for you, unlike traditional classroom learning. Also, online learning can save you a lot of time, since you won’t have to travel to a physical location to attend classes. You do, however, need a good, stable internet connection. Depending on the specific program you enroll in, you may also get to interact with others online over video or chat sessions, which will further aid your learning and build connections.
Learning at a university provides you in-person interaction with professors, but you won’t get the same flexibility in schedule that you would with online courses. Additionally, university degree courses are often not optimal when it comes to developing practical skills. This is because the focus is a lot more on the academic foundations, rather than interacting and working with industry professionals. And when it comes to enrolling in a college course, it usually means pursuing a two or four-year degree.
These days, succeeding in the technology industry doesn’t necessarily require a significant amount of higher education. Attending a technical school or receiving online certification is often more than sufficient. In fact, many industry professionals tend to agree that shorter, more condensed learning is actually better, because you are focusing solely on what you want to learn. This also means you finish your program much faster.
A professionalmachine learning course is great when you are looking to achieve specific career goals in a short period of time. Focused courses geared toward various projects can teach you how you can apply machine learning in real life.
