What Are the Best Machine Learning Bootcamps in 2021?
Machine learning is a fundamental element of the automation process. It enables devices to learn things without human intervention. It requires programming and data science skills. This discipline is used in several industries such as healthcare, automobile, digital marketing, and retail.
To learn machine learning skills, you don’t need to go to college and get a bachelor’s degree in computer science. There are plenty of courses available that can help you break into the field.
Check out the following list and discover the best machine learning bootcamps of the year.
The Best Machine Learning Bootcamps
BrainStation offers two programs where you can learn about machine learning. One of them is the full-time Data Science Bootcamp and the other is a shorter course focusing solely on machine learning. Both programs are available on all of its 11 campuses. However, due to COVID-19, the classes have been moved online.
The Data Science Bootcamp covers topics like Python, Panda, NumPy, data manipulation, and machine learning, walking students through the fundamentals and the more advanced elements of this discipline. You will also learn other topics like data modeling and visualization.
On the other hand, the machine learning program is a part-time course that teaches the core elements of the field. You will learn about data processing and visualization, classification techniques, neural network, and more.
Locations: New York, Miami, Chicago, Boston, Seattle, Los Angeles, San Francisco, Dallas, Toronto, Vancouver, London.
General Assembly offers a Data Science Bootcamp where students can learn how to deploy and implement machine learning models. You will also cover supervised and unsupervised learning, neural network, and natural language processing.
Other topics include forecasting, probability, Python programming, and Git. This course is comprehensive and is available both full-time and part-time.
Locations: Online, Sydney, London, Nashville, Singapore, Phoenix, Brisbane, Detroit, Raleigh, Adelaide, Paris, St. Louis, Melbourne, Charlotte, San Diego, Edinburgh, Manchester, Minneapolis, Denver, Austin, Salt Lake City, Los Angeles, San Francisco, Atlanta, Houston, Seattle, Toronto, Chicago, Washington, Boston, Dallas, New York City
Ironhack offers a Data Analytics Bootcamp where you’ll learn how to effectively deploy your machine learning skills. You will learn how to make predictions with real-world datasets and use popular machine learning algorithms.
This course also teaches you how to use fundamental tools like SQL, Tableau, Git, Python, and other data science techniques that will be beneficial for your career. This course is available full-time and part-time, so you can choose a schedule that works best for you.
At the end of the program, you will have to develop a final project by building or choosing your own dataset from real-life examples. You will also compete with your peers in the Hackshow. It’d be advantageous for you to ace this project as it could be an opportunity to get hired by one of the school’s hiring partners.
Ironhack also offers courses in web development, UX/UI design, and cyber security—available in different schedules and locations.
Tuition: Varies depending on location
Locations: Madrid, Berlin, Paris, Barcelona, Sao Paulo, Amsterdam, Mexico City, Lisbon
Le Wagon’s Data Science Bootcamp will help you develop solid foundations in machine learning and other core elements of the field. You will learn about supervised and unsupervised learning, performance metrics, and overfitting.
You will also learn other data science concepts like data analytics, decision science, artificial intelligence with deep learning, and data engineering. This course is available part-time (24 weeks) and full-time (nine weeks).
This program includes career services to help you land a job once you finish your course. Keep in mind that you will also have to complete a capstone project at the end of the program to put everything you learned into practice.
Tuition: Varies depending on location
Locations: Bordeaux, Lille, Lyon, Marseille, Nantes, Nice, Paris, Rennes, Amsterdam, Barcelona, Berlin, Brussels, Cologne, Copenhagen, Istanbul, Lausanne, Lisbon, London, Madrid, Milan, Munich, Oslo, Rome, Stockholm, Bali, Chengdu, Kyoto, Melbourne, Seoul, Shanghai, Shenzhen, Singapore, Tokyo, Belo Horizonte, Buenos Aires, Mexico, Montreal, Rio de Janeiro, Santiago, São Paulo, Dubai, Mauritius, Tel Aviv.
Best Online Machine Learning Bootcamps
If you’re looking for online courses, there are some high-quality ones you might be interested in. These programs we’re about to mention are fully remote.
The Best Online Machine Learning Bootcamps
Metis has a data science course that is more focused on machine learning. This program teaches you about core skills like natural language processing, deep learning, supervised and unsupervised learning, data engineering web scraping, and linear regression.
This is a 14-week full-time program. You are expected to invest 40 hours a week in this course, which includes learning time from Monday to Friday.
Springboard has two courses for those interested in enhancing their machine learning skills. One of them is the ML Engineering Career Track. This course will teach you about deep learning, machine learning systems deployment, image processing, model selection, and more.
The second option is the Data Science Career Track, a more general course that is perfect for those who want to become data scientists. This program covers topics like data wrangling, statistical inference, and machine learning, among others. You will also learn topics like linear and logistics regression, decision trees, and supervised and unsupervised algorithms.
Cost: $7,500 – $7,940
Thinkful is a coding bootcamp that offers an immersive Data Science Course. This program includes all the foundational topics like data gathering, statistics, forecasting, and advanced skills like machine learning.
You will study unsupervised and supervised principles, SQL, and Python. This course is 100 percent online and can be taken either full-time or part-time. The program lasts around five to six months, depending on the schedule you choose.
What About Free Machine Learning Bootcamps and Courses?
If you don’t feel like investing or committing to a full-time bootcamp, you can also try these free resources to learn machine learning fundamentals. Below, you’ll find a list of the best bootcamps and courses (including MOOCs) where you can learn machine learning for free.
The Best Free Machine Learning Bootcamps and Courses
DataCamp – Free Machine Learning Course with R
This free DataCamp course will help you deploy machine learning models using the R programming language. You will practice with different algorithms and models. This course includes 15 videos with a total duration of six hours.
MIT Professional Education – Machine Learning: From Data to Decisions
This is a free introductory course offered by MIT Professional Education. This eight-week program covers foundational machine learning topics. It has no prerequisites, which means you don’t need to have any programming experience to take this course. You will get an MIT certificate upon completing the course.
Stanford University (Coursera) – Machine Learning
This is a self-paced course provided by the Stanford University on the Coursera platform. The program covers introductory machine learning topics to help you build a robust foundation. It is 100 percent free and includes several examples to guide you through the process.
Why Learn Machine Learning Now?
Machine learning and AI are both in-demand data science skills these days. According to the Bureau of Labour Statistics, these professions’ demand will increase in the upcoming years. Therefore, it might be a positive career move to start learning about ML and AI.
What Do Machine Learning Engineers Actually Do?
Machine learning engineers create and maintain ML-driven applications. They use automation to make relevant processes quicker and find meaningful insights. Check out the following list to know more about ML engineers’ responsibilities.
Implement Machine Learning Algorithms
This is one of the most common tasks in the daily life of a machine learning engineer. They implement ML algorithms like decision trees, Naive Bayes, random forest, linear regression, logistics regression, and SVM.
Run Machine Learning Tests
Machine learning engineers must run tests to evaluate the performance and accuracy of the ML models. This is crucial in the development process to ensure the precision of the app.
Train and Retrain Systems
Training and retraining are a part and parcel of being an ML engineer. As the name suggests, the process involves optimizing your model to fit with your respective business or goal by using ML-specific techniques. You must have sufficient historical data to perform this process.
Develop Machine Learning Applications
Machine learning engineers usually develop machine learning applications for different purposes like automating a process or researching relevant insights.
ML-driven applications are used across all industries including the government, financial services, healthcare, transportation, and even marketing.
Should You Attend a Machine Learning Bootcamp in 2021?
If you don’t want to attend college to get a bachelor’s degree in computer science, and instead, you want to brush up on your machine learning skills, then a bootcamp is a great choice. It is short-term, intensive, and immersive.
Depending on the program, you can learn the core skills you need to become a machine learning engineer in just months. You would also invest a lot less than you would with formal education.