What to Expect During a Machine Learning Engineer Internship

Internships are a great way to supplement your school coursework and get your foot in the door to a new career.

An internship is basically a sneak peek inside the day-to-day work of a full-time machine learning engineer, with the added bonus of getting mentorship.

Getting an internship in a tech field is incredibly useful and can help you fill out your resume when you’re looking for your first full-time job.

Plus, the projects you build as an intern go beyond what you learn in school because you will work with real data and solve actual business problems for the company.



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The Future of AI in Healthcare: Top Experts’ Predictions

Artificial Intelligence (AI) has big implications for healthcare. This has been brought to light by the current global COVID-19 pandemic that has overloaded hospitals, stretched resources, and infected millions of people before tests and treatment could be made available.

AI-driven technology has been in development for the healthcare community for many years. For example, AI can be used to enhance 2D and 3D imaging to better detect abnormalities and improve diagnosis. However, there are still some challenges with how AI can be applied to healthcare.



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Understanding the Benefits of AI

The adoption of artificial intelligence (AI) continues to increase, and it’s anticipated that the global AI market will be valued at over $190 billion by 2025. As this growing market continues to flourish, so do both the benefits of AI. 

First introduced back in the 1950s, AI has evolved tremendously over the past 65 years. While initially it was used in more technical settings, like specialized computer labs, adoption has grown to the point where AI is integrated in our everyday lives. 

With AI becoming part of how we work and live, it’s important to understand how it will be used in our day-to-day lives and how you can make an impact in the industry.



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Self-driving Car Engineer Salary: What You Can Expect in 2020

Self-driving cars are no longer just a part of science fiction movies. If you visit San Francisco, odds are you will see a self-driving car from Uber or Cruise roaming the streets — with a supervisor sitting behind the wheel, of course.

Tesla has been selling cars with self-driving capabilities for years. Their Autopilot feature can “steer, accelerate and brake automatically” and even be summoned within a parking lot.

If you shop for a car in 2020, you’ll be able to choose from multiple options that can self-park. In fact, they can probably pass their parallel parking driver’s test better than you can!



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Introducing the Intro to Machine Learning with TensorFlow Nanodegree Program

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The field of machine learning continues to boast incredible job growth, salaries, and skill sets that can be used in many different industries. Google utilizes this technology in their Cloud product to allow startups to build machine learning models that work on data of any size, while GE utilizes IoT to help detect and prevent anomalies and crashes in their products. These are just a snapshot of the numerous applications of machine learning in the market today that display the potential for an exponential amount of professional expansion. Currently, just in the US alone, there are over 50,000 open roles for machine learning professionals, so now is the time to develop machine learning expertise!

In LinkedIn’s 2020 Emerging Jobs report, AI Specialist, a role that includes machine learning, deep learning, TensorFlow, and Python as key skills, boasts 74% annual growth. All of the above skills are incorporated into Udacity’s new Intro to Machine Learning with TensorFlow Nanodegree program, which is a great way to get introduced to the fundamentals of machine learning, including areas like manipulating data, supervised & unsupervised learning, and deep learning.

So what is TensorFlow, and how is it being utilized today? TensorFlow is a deep learning framework made by Google for creating machine learning (ML) models that use multi-layer neural networks. The TensorFlow library allows users to perform functions by creating computational graphs. AirBnB utilizes TensorFlow to improve the guest experience to categorize listing photos by classifying images and detecting objects at scale. Coca-Cola uses TensorFlow to enable mobile proof-of-purchase at scale, while PayPal uses TensorFlow to detect fraud, and Twitter uses TensorFlow to rank tweets, highlighting the broad and powerful range of applications.

Intro to Machine Learning with TensorFlow Nanodegree Program


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Women In Machine Learning: Katie Malone

Find the right Nanodegree program for you in Artificial Intelligence, Machine Learning, or Data Science

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The excitement around our Machine Learning Nanodegree program has been amazing to witness, and the vitality and dynamism in the space right now is pretty incredible. There are so many fascinating storylines in the world of Machine Learning, it’s sometimes hard to even know what to focus on. But unquestionably, the people working in this field—those individuals at the cutting-edge of these new technologies—are a critical part of the Machine Learning narrative. One of the things I find personally really exciting is how many women are shaping the future of Machine Learning. My former colleague Katie Malone is a wonderful example of this, and I’m very grateful she was able to take some time recently to talk Machine Learning with us!

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Introducing the PyTorch Scholarship Challenge from Facebook

Build deep learning models today.

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UPDATE: This scholarship program has ended, but you can enroll in the free Introduction to Deep Learning with PyTorch course! 

Earn a scholarship from Facebook and Udacity, and learn how to build, train, and deploy state-of-the-art deep learning models with PyTorch. Apply today!

PyTorch Scholarship Challenge from Facebook - Udacity

Today, we’re pleased to share details of our newest offering to rapidly expand students’ machine learning skills —the PyTorch Scholarship Challenge from Facebook.

PyTorch is an open source deep learning framework that’s quickly become popular with AI researchers for its ease of use, clean Pythonic API, and flexibility. With the preview release of PyTorch 1.0, developers can now seamlessly move from exploration to production deployment using a single, unified framework.

This new scholarship program, announced today at the PyTorch Developer Conference, offers participants the opportunity to acquire cutting-edge skills in deep learning using PyTorch, and earn a full scholarship to Udacity’s Deep Learning Nanodegree program.

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