Our mission is to equip you with the knowledge, strategies, and resources needed to navigate the AI revolution with confidence, ensuring that AI serves as a valuable partner in education rather than a replacement for the human touch.
Whether you’re researching bachelor’s or master’s machine learning programs, reading the news, or trying to parse job postings, you’re liable to encounter a host of terms that might not be immediately recognizable. To make your life easier, we’ve assembled this list of machine learning terms for your reference.
But the question remains: how is artificial intelligence (here meaning weak AI) different from machine learning and deep learning? In truth, it’s not so much a question of how they are different as what kinds of relationships exist between them. In the end, it’s quite simple. Machine learning is a subdiscipline of artificial intelligence focused on the development of mathematical algorithms that allow computers to progressively improve their capabilities. Deep learning is a method of machine learning that employs artificial neural networks comprising layers of nodes inspired by the brain’s neurons.
With so much money on the line, it’s no surprise that more and more young adults are entering bachelor’s and master’s programs in computer science, artificial intelligence, and machine learning. But school is one thing — the workforce another. What skills does an aspiring AI engineer or ML engineer need to master to ace their interviews and land a job? In this article, we’ll lay out the must-have AI skills you need to succeed in the field, so you can do a self-audit to see if you already have what it takes or need to seek out more education before applying.
There’s no doubt that machine learning experts will be in demand for years to come, but what exactly will these professionals need to know to embark on a machine learning career? More importantly, if you’re interested in machine learning yourself, what will you need to learn? In this article, we’ll cover the most important machine learning skills so you can perform your own skill audit, measure your aptitude for machine learning, or map out the journey ahead.
In 2019, Indeed reported that postings for machine learning engineer jobs had accounted for 179 of every one million job postings in 2018, with the total number of machine learning engineer postings growing by nearly 350% between 2015 and 2018. But what does a machine learning career actually look like in 2022? What education do you need, and what’s your path to progress? In this article, you’ll see that in the case of machine learning, these questions are more closely linked than they might initially appear. Read on to gain a better understanding of what a machine learning engineer does, and how graduate-level degrees can unlock higher rungs on the career ladder.
AI is here to stay. Corporations need to harness its power to stay ahead, and employees need to develop AI skill-sets to stay relevant. No surprise, then, that more and more professionals are choosing to earn an artificial intelligence certificate online. With their mixture of flexibility and rigorous training, these certificate programs promise to provide participants with job-ready skills in artificial intelligence and machine learning and important context to be able to navigate the continuing developments in the field. In this guide, we’ll dive deeper into these programs to give you a better idea of what to expect and help you better understand how you can leverage an AI certificate to get ahead. At the end, we’ll present our recommendations for the best programs out there for a variety of use cases.
The first step on most people’s AI career path is to enroll in a college degree program that will provide the necessary training to set them up for success. But now more than ever, there are lots of options out there, all purporting to offer the “best” AI education. In this article, we’ll take a look at the state of AI colleges before diving into what it means to be “best” and how you can choose the best program for you. Along the way, we’ll preview some great AI programs from across the country.
If you’re considering pursuing becoming one of these new AI PhDs, you’re in the right place. This guide will give you all you need to know to determine if a doctoral study in artificial intelligence is right for you, including minimum requirements for admission, typical employment opportunities and salaries upon graduation, and what to expect from a doctoral course of study. In the end, we’ll unveil our picks for the top artificial intelligence PhD programs.