Search result for Courses taught by Jose Portilla
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Description of Machine Learning Courses
- Machine Learning is a field of study that focuses on the development of algorithms and statistical models that enable computer systems to learn from and make predictions or decisions based on data. It is a subfield of artificial intelligence and has wide applications in various industries.
Common Things Learned
- In a Machine Learning course, students will learn about the different types of Machine Learning algorithms, such as supervised, unsupervised, and reinforcement learning. They will also learn about data preprocessing techniques, feature selection, and model selection. Students will be exposed to popular Machine Learning libraries such as Scikit-learn and TensorFlow. They will learn how to evaluate the performance of a model, and how to optimize it for better results. Finally, students will learn how to deploy Machine Learning models and make predictions using them.
Typical Student
- Typical students in a Machine Learning course are computer science students, data scientists, and professionals from various industries such as finance, healthcare, and marketing. They often have a background in mathematics, statistics, or computer science.
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Data Science and Machine Learning Bootcamp with R
by Jose Portilla- 4.7
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17.5 hours on-demand video
Learn how to use the R programming language for data science and machine learning and data visualization! This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science! Enroll in the course and become a data scientist today!...
$14.99
Top Online Courses and Specializations | Coursera
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Find Courses and Specializations from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics....
Coursera | Online Courses & Credentials From Top Educators. Join for Free
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Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics....
Course Definition & Meaning - Merriam-Webster
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course: [noun] the act or action of moving in a path from point to point....
Free Online Courses | Stanford Online
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Free Online Courses. Our free online courses provide you with an affordable and flexible way to learn new skills and study new and emerging topics. Learn from Stanford instructors and industry experts at no cost to you....
Online Courses - Learn Anything, On Your Schedule | Udemy
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Udemy is an online learning and teaching marketplace with over 185,000 courses and 49 million students. Learn programming, marketing, data science and more....
Courses » Academics | Boston University
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Courses. The listing of a course description here does not guarantee a course’s being offered in a particular semester. Please refer to the published schedule of classes on the Student Link for confirmation a class is actually being taught and for specific course meeting dates and times....
Courses | Learn WordPress
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These courses will help you find your feet in the project and help you get involved in the mission to democratize publishing. Polyglots Contributor Training. Translation is a great way to contribute to WordPress if you understand English and another language....
Courses - Colorado Motorcycle Academy
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Our basic courses are for those who have never ridden a motorcycle before, have less than approximately 40 total hours of riding, or haven’t seen the seat in a while and want a refresher. These courses are perfect for beginners to learn how to be safe on the road while riding....
Golf Longmont | City of Longmont, Colorado
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Adult and youth instruction is available at our municipal courses and through the Recreation Services department. City of Longmont Recreation Services has two summer golf camps, and drop-in group lessons are available at Twin Peaks and Ute Creek. For more information about instructional offerings, call Ute Creek's Tray Shehee (303-875-5050) or ....
Golf Longmont - Longmont, CO
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Celebrating 100 Years of Sunset Golf Council approves course in 1922, originally called the Longmont Golf Club. Sunset Golf Course is celebrating its 100th birthday with a free “Par Tee” at the clubhouse from 5-8 pm on Thursday, Aug. 18. Commemorative 100 Year Anniversary merchandise is now on sale in the pro shop at 1900 Longs Peak Ave....
Time
- It takes about 6-8 weeks to get the fundamentals of Machine Learning, including basic algorithms, data preprocessing, and model selection. However, to become well adept in this topic, it may take up to a year of practice and learning. Consistent practice and application of the concepts learned is key to becoming proficient in Machine Learning.
Courses
Machine Learning is often a prerequisite for advanced courses in Artificial Intelligence, Computer Vision, and Natural Language Processing. It is also a fundamental course for those interested in pursuing a career in Data Science or Machine Learning Engineering.
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Fields
Machine Learning is used in various fields such as finance, healthcare, marketing, and more. In finance, Machine Learning is used to predict stock prices and detect fraud. In healthcare, it is used for disease diagnosis and drug discovery. In marketing, it is used for customer segmentation and personalized recommendations. Machine Learning is also used in image and speech recognition, autonomous vehicles, and robotics.
- Related Fields
Careers
Machine Learning is needed in careers such as Data Scientist, Machine Learning Engineer, Research Scientist, and Business Intelligence Analyst. These careers require strong Machine Learning skills to analyze and make sense of large amounts of data, build predictive models, and make data-driven decisions.
- Examples of Common Careers
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- Data Scientist
- Machine Learning Engineer
- Research Scientist
- Business Intelligence Analyst
