Master Python for data analysis, machine learning, and automation. Build predictive models, create dynamic dashboards, and unleash the power of data visualization. Launch your career in data science and Python engineering, equipped with Python, NumPy, Pandas, and Matplotlib.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Machine learning is a type of Artificial intelligence that allows programs to “learn” from large amounts of data. This data is used to solve problems, optimize solutions, and predict future outcomes. Given the prevalence of machine learning, it’s likely you’ve interacted with this type of AI in the past without even realizing it. For example, streaming services like Spotify and Netflix rely on machine learning algorithms to make recommendations about what you might like to watch or listen to next. These programs rely upon previous data (what you’ve watched or listened to in the past) to predict what you might like to listen to or watch in the future.
Python and data science are closely related to machine learning. You can learn more about Python classes in Los Angeles or check out data science classes in Los Angeles as well.
Los Angeles is a major hub for industries that leverage machine learning to analyze data, optimize operations, and drive innovation. The entertainment and media sector in LA, including film studios, streaming services, and gaming companies, relies heavily on machine learning to enhance content recommendations, streamline production, and predict audience preferences. Companies such as Netflix (Los Angeles office), Riot Games, and Warner Bros. Discovery use machine learning algorithms to personalize viewer experiences, analyze user engagement, and inform marketing campaigns. By applying machine learning models, these companies can make data-driven decisions that maximize audience satisfaction and increase content revenue.
The technology and startup ecosystem in Los Angeles, particularly in Silicon Beach, is another major user of machine learning. Companies like Snap Inc., Ring, and Hyperloop Transportation Technologies use machine learning to improve product functionality, automate processes, and enhance user experiences. From facial recognition and image processing to predictive analytics and recommendation systems, machine learning enables tech companies to create smarter, more adaptive software. Machine learning also supports LA’s growing fintech sector, with companies such as Aspiration and Oaktree Capital Management using machine learning models for fraud detection, credit risk analysis, and portfolio optimization.
Machine learning is increasingly transforming healthcare, transportation, and professional services across Los Angeles. Healthcare providers like Cedars-Sinai and UCLA Health employ machine learning to predict patient outcomes, improve diagnostic accuracy, and optimize resource allocation. Meanwhile, transportation companies, including LAX airport operations and mobility startups, use machine learning to forecast demand, optimize routing, and improve traffic management. In professional services and consulting firms, machine learning helps analyze market trends, automate reporting, and support strategic planning.
Those pursuing careers in Los Angeles can apply their machine learning skills to a variety of roles. In particular, individuals may pursue roles like Machine Learning Engineer, Data Scientist, and Data Engineer. Data Scientists make the least of these three positions at around $99,000 per year. Machine Learning Engineers earn annual salaries of about $168,000, and Data Engineers make around $148,000 on average in Los Angeles. On average, both of these positions make more in L.A. than in the U.S. as a whole.
Noble Desktop offers several virtual machine learning courses. Its Data Science Certificate prepares individuals for entry-level data science and Python engineering positions. In the course, students learn Python fundamentals, as well as how to clean data using Pandas and apply machine learning algorithms to real-world problems.
Noble’s Python Machine Learning Bootcamp also covers machine learning. In this course, students learn about various machine learning algorithms, including k-nearest neighbors and random forests, as well as learn how to use Python libraries like NumPy and Pandas. Noble’s Python Data Science & Machine Learning Bootcamp covers similar topics, including NumPy, Pandas, and scikit-learn.
Additionally, NYIM Training offers virtual data science classes that cover machine learning topics. You may also be interested in learning more about live online data science classes from NYC Career Centers.
Young people who would like to learn about machine learning may be interested in NextGen Bootcamp’s Python for Data Science & AI Machine Learning class for high schoolers. This course takes place in the summer for two weeks and can help students prepare for AP Computer Science or college-level programming classes.
Are you a professional who would like to upskill or reskill by learning about machine learning? Noble Desktop offers corporate and onsite machine learning training in Los Angeles. This training can take place at your company’s offices or live online using teleconferencing technology.
Additionally, companies can purchase training vouchers for employees to participate in Noble’s group enrollment courses. When multiple vouchers are purchased, the company is eligible for a discount. If you’d like to learn more about Noble’s corporate and onsite training opportunities, don’t hesitate to get in touch.
Those seeking a chance to sharpen their skills in tech, design, business, or data can look no further than the opportunities in Los Angeles. The city is more than just Hollywood; it’s a collection of professional services and companies that stretch from the innovative companies in Silicon Beach to the more corporate areas of downtown L.A. Machine learning is a way to get your foot in the door of any company that needs experts to train computers with various datasets without being explicitly programmed. It's a powerful skill that drives innovation and assists in decision-making and problem-solving. For those interested, Noble Desktop’s partner school, VDCI, offers classes taught by industry experts who are passionate, willing, and ready to impart their knowledge to students and professionals alike. They offer insight based on their real-world experience, which makes all the difference when learning a new skill from scratch or while looking to advance in your field.
Los Angeles-based learners can take advantage of the training at 3904 Groton Street, San Diego, California, located directly in the Point Loma neighborhood. Driving from Los Angeles, you’ll take I-5 South all the way. Those who prefer public transportation can hop on the Amtrak and commuter rail services connecting to San Diego from L.A., making it a quick way to access the campus. The facility is designed for interaction, offering students access to top-rated instructors and modern workstations.
With over 20 years of experience, Dr. Deanne Larson has built a reputation as a pioneer in the Los Angeles data science and analytics world. As the founder of Larson & Associates LLC, she has partnered with Fortune 500 companies and FinTech firms to help shape AI strategies and implement solutions through machine learning. She’s worked with global enterprises, particularly in designing their data systems. Her accomplishments go beyond the norm, however, as she’s also been part of projects that serve 225 million customers worldwide and others that require developing cutting-edge data governance frameworks for cloud and blockchain technologies. She’s a seasoned instructor as well, having taught at City University of Seattle, where she mentored doctoral candidates and designed data analytics programs. She holds several doctoral degrees that, paired with her extensive experience, position her to teach subjects like AI, Python, data, machine learning, and project management.
Michael Wilson is a Licensed Architect in the State of California and an Autodesk Certified Platinum Revit Instructor, one of only 20 professionals worldwide to hold this title. With over 25 years of experience in architecture, Michael has contributed to award-winning commercial and municipal projects, including facilities for pharmaceutical companies and landmarks such as the El Cajon Animal Shelter and the Mission Hills Library. Michael teaches and develops Revit courses that emphasize real-world application through project-based learning. Over the past decade, he has trained thousands of students in the Los Angeles AEC community, helping them master workflows. Michael is also an Autodesk Certified AutoCAD and Revit Professional, specializing in Revit certification and interior design software.
John O’Malley is a Registered Architect with more than a decade of experience leading Los Angeles teams through all stages of design and construction. His professional background spans different sectors, where he has earned recognition for his technical precision and leadership. A licensed architect in California, John also holds LEED AP BD+C certification and is an Autodesk Certified Instructor (ACI Silver). Most recently, he teaches AutoCAD courses that prepare students to apply drafting and design principles in real-world settings. John is passionate about mentoring the next generation of design professionals, contributing to the ACE Mentor Program.