We didn’t find any courses in Fresno offering Machine Learning training, but here are 5 schools that offer live online courses you can take from anywhere, including Fresno.
For in-person Machine Learning courses, please check these locations:
Founded in 1990, Noble Desktop offers part-time and full-immersion courses on anything you can think of from design and coding to business. Located in New York City and providing courses both online and in-person, Noble Desktop prides itself on accommodating dynamic courses and bootcamps with hands-on learning, time-tested curriculums, and education from top industry experts.
In this course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.
NYC Data Science Academy provides data science and data engineering training with comprehensive curriculums in Python, Hadoop, Spark, R, and many more. NYC Data Science Academy offers immersive courses, bootcamps, and job training both online and in-person.
This course in machine learning with R introduces novice R programmers a foundation in machine learning theory. The course covers the foundations of statistics and simple linear regressions, multiple linear regression and generalized linear models, kNN and Naïve Bayes, the curse of dimensionality, tree models, and SVMs. Students who complete this course will understand the mathematics behind machine learning algorithms and be able to use them in real-world situations.
This machine learning course is meant for learners looking to master the concepts needed for machine learning. Students will learn how machine learning can be used for decision-making, the different machine learning techniques available, and how to tackle machine learning projects. The course covers various techniques in machine learning, including regression, classification, k-means, neural networks, and more.
General Assembly provides a variety of bootcamps and workshops in digital marketing, user experience design, and immersive courses in software engineering and data science. Students have a choice between part-time, full-time, or online classes, committed to finding you the most flexible fit for your busy schedule.
This Python and machine learning course is a 2-day bootcamp designed for individuals with some familiarity with Python programming looking to advance their skill set. In this hands-on bootcamp, students will learn how to use some Python data science libraries and various machine learning techniques. Day one of the bootcamp focuses on introducing students to two data science libraries (NumPy and Pandas), best practices for preparing data, an intro to machine learning, and regression analysis. Day two starts off with cross validation and regularization of data, concludes with classification, and brings everything learned in days one and two together.
Holberton is a Silicon Valley based software engineering school. Using project- based learning methods, students learn how to collaborate, articulate, and think outside of the box. They leave the program with world-class software engineering skills, highly sought by leaders throughout the tech world.
This 72-week Machine Learning program was designed to teach students the skills they need to launch careers in the fields of computer science, software engineering, and machine learning. This program is split into six trimesters and covers a wide range of computer science and machine learning tools and concepts. The first three trimesters focus on computer science and software engineering, with a focus on Linux, data structures, algorithms, various programming languages, databases, and more. The final three trimesters are very math-heavy, and focus on computer vision, natural language processing, autonomous driving, working with Pandas, Numpy, Tensorflow, and more. Throughout the program, students will also learn important soft skills to enhance their job readiness, with an emphasis around technical writing, collaboration, whiteboarding, as well as the opportunity to participate in mock interviews.
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Upskill or reskill your workforce with our industry-leading corporate and onsite Machine Learning training programs. Conduct the training onsite at your location or live online from anywhere. You can also purchase vouchers for our public enrollment Machine Learning courses.
See the tuition comparison below to compare Machine Learning courses by cost per training hour.* For private tutoring or corporate training (onsite or virtual), contact us at email@example.com for a quote.
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Disclaimer & Notes: Hourly rates are estimates only. Courses are not available on an hourly basis. Several other factors that contribute to pricing (such as job support and free retakes) are not factored into pricing per hour. 1 day is estimated to have 6.5 hours of training; 1 week is estimated at 35 hours; and 1 month is estimated at 150 hours. Actual hours will vary by school. Course pricing is subject to change without notice, certain discounts may not be included, and pricing may vary by location.
Machine Learning is one of the core skills needed to secure one of these positions. See the career pages for more information on required skills, tips for landing a job, typical day-to-day work, and where to find job postings.
Salary in Fresno
$110,000 / year7.98% less than the U.S. average
Machine Learning Engineers create computer programs that enable machines to take actions without being specifically directed to perform those tasks. This job combines computer programming and data science to enable systems to learn and improve from experience automatically by using machine learning, a subset of artificial intelligence.Learn about becoming a Machine Learning Engineer
Salary in Fresno
$114,000 / year12.96% less than the U.S. average
Data Engineers create the infrastructure for data and format data into a useful system which Data Scientists use to analyze large amounts of data. Data Engineers can specialize in pipelines, databases or platforms, warehouses or infrastructure, or be generalists.Learn about becoming a Data Engineer
Salary in Fresno
$101,000 / year28.31% less than the U.S. average
Data scientists collect, organize, and analyze large sets of data, providing analysis that is key to decision making. Governments, non-profits, and businesses of all types rely on data for forecasting, risk management, and resource allocation. Data scientists discover and analyze trends in data, and report their findings to stakeholders. They will use algorithms and models to simplify and mine data sets to create data-driven recommendations. Data scientists are needed across a handful of industries, especially the ubiquity of data and the reliance on it for business decision-making.Learn about becoming a Data Scientist
Machine learning involves developing computer systems to solve problems or predict future outcomes. One example of machine learning models from everyday life includes recommendation algorithms for music and video streaming search engines. Machine learning is also used in retail, finance, marketing, cybersecurity, and nearly every other industry. Thus, machine learning skills are in demand, and the job market is expected to grow 15% from 2019 to 2029.
Developing machine learning computer systems involves a basis in data collection and analysis. Thus, data science is a necessary discipline when it comes to applying machine learning skills. If you’re interested in machine learning, you may want to consider data science classes. In addition, Python is a popular, easy-to-learn coding language commonly used for software development, data analytics, and machine learning. Python classes are also available for your learning needs.
There is no singular path to a career in machine learning. Depending on your chosen industry or specialization, a machine learning career requires varying skills in programming, data science, system design, software engineering, and problem-solving, among others. Machine learning applies to many industries, from marketing to finance to cybersecurity and everything in between. Whatever niche you choose to pursue, machine learning is a high-paying career that demands a high skill set and specialized training in whatever niche you choose to pursue. The three primary careers are discussed below:
A Data Scientist uses algorithms (a form of machine learning) to gather data and generate recommendations. They earn on average $102,000 a year in Fresno. A Machine Learning Engineer deploys models developed by Data Scientists and turns them into further developed machine learning systems to function in the consumer or business field. They earn around $112,000 a year. A Data Engineer builds the infrastructure on which Data Scientists and Machine Learning Engineers work. They are responsible for ensuring the data pipeline functions properly and that data flows when, where, and how it is supposed to. They make $113,000 annually.
These three careers overlap, and the positions will likely work in a team. All three roles require varying degrees of skills in data science, software engineering, and machine learning. Though a company may hire a Data Engineer without machine learning skills, such knowledge is helpful in understanding how to build infrastructure that appropriately addresses machine learning needs.
There are currently no in-person machine learning classes available in Fresno. However, if you like the interactivity provided by in-person classrooms, you may find virtual classes fit your needs.
Noble Desktop provides virtual machine learning classes in Fresno. These online courses are live and hands-on. Remote instructors can answer your questions in real-time. They can also remotely access your computer screen to demonstrate complex tasks. Courses can be taken anywhere with an internet connection.
Noble Desktop’s Data Science Certificate provides a solid foundation for a career in machine learning. In this course, you’ll learn Python fundamentals for gathering and preparing data. You’ll also discover how to use that data to build machine learning models. The course will give you the skills for an entry-level position as a Data Scientist or Data Analyst.
If you’re new to Python and interested in machine learning, Python Data Science & Machine Learning Bootcamp would be a good fit for you. You’ll learn the fundamentals of programming with Python and its libraries. And you’ll apply your new skills to create predictive data science, automation, and machine learning models. By the end of the course, you’ll have the skills for an entry-level position as a Data Scientist or a Python Engineer. For students already familiar with Python and its libraries, the Python Machine Learning Bootcamp will launch them straight into creating machine learning algorithms.
High school students interested in machine learning can get a headstart with NextGen Bootcamp’s summer Python classes. The Python Data Science Summer Program teaches students how to program with Python and use Python for data science and machine learning. Students can also learn the fundamentals of data science and machine learning with both Java and Python through the Computer Science Summer Certificate Program.
If you’re dedicated to learning machine learning, there are intensive data science bootcamps in Fresno that will prepare you for a machine learning career. Noble Desktop’s Data Science Certificate, Flatiron School’s Online Data Science program, and Metis’ Data Science Bootcamp will provide you with the skill set for an entry-level position as a Data Scientist or Python Engineer. Students will learn Python, SQL, analytics, automation, and machine learning. Courses are open to beginners and can be taken full-time or part-time.
Intermediate learners already familiar with Python can attend Thinkful’s Data Science Flex or General Assembly’s Data Science Immersive. These courses are designed to boost existing Python skills to launch Data Science careers. Like previous courses, students will learn advanced Python skills, SQL, analytics, automation, and machine learning.
Machine learning and data science are effective tools for gaining actionable insights from raw data. Online and onsite corporate Python training is available through Noble Desktop. Classes are customizable to fit your unique industry requirements and employee training needs. Scheduling is also flexible, enabling your team to learn at a time of day that works best for them.
Courses are taught by industry experts with real-world experience from Wall Street and Fortune 500 companies. Your team will receive comprehensive support materials, including class handouts, exam guides, and training videos. You’ll be given the tools you need to experience impactful learning and dynamic growth.
Contact Noble Desktop for more information. Discount vouchers are available for group bookings.
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For registration assistance and a list of partners and affiliate schools, see the Partners Page. Neither Classes Near Me (“CNM”) nor Noble Desktop is affiliated with any schools other than those listed on the Partners Page. The information provided on CNM for all schools is intended to provide information so that you may compare schools and determine which best suits your needs. The information provided is not updated regularly, so you should go to the schools website directly to verify their continued offerings. Neither CNM nor Noble Desktop can assist with registration for non-partner schools.