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Get your job in 90 days with some free Machine Learning Courses
Machine Learning Certification Course By Simplilearn
Simplilearns Machine Learning course will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You will master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of Machine Learning Engineer.
Course description
Why learn Machine learning?
Machine learning is taking over the world and with that, there is a growing need among companies for professionals to know the ins and outs of machine learning
The machine learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
Coursera: Machine Learning Offered By Stanford University
About this Course
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valleys best practices in innovation as it pertains to machine learning and AI.
This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition.
Topics include:
(i) Supervised learning (parametric/nonparametric algorithms, support vector machines, kernels, neural networks).
(ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
The course will also draw from numerous case studies and applications so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Learn Machine Learning to upskill with practical applications of Machine Learning with R.
Best Machine Learning course for aspirants or professionals with prior knowledge of R and want to earn Machine Learning certification. This video-based machine learning online course imparts practical hands-on knowledge of Machine Learning with R and covers the most widely used supervised and unsupervised Machine Learning techniques, including social media text analytics and recommendation engine.
For aspirants who want to learn Machine Learning training but have no prior knowledge of Analytics and R, please refer to the following courses before proceeding with this course:
- Data Science using R (Curriculum includes Machine learning with R)
- Data Science using Python (Curriculum includes Machine learning with Python)
- Advance Big Data Science (Curriculum includes Big Data Machine learning with Python & Spark)
Considering the cost-effectiveness and real-life application based curriculum, this is the best Machine Learning online training course in India for Analytics professional (with working knowledge of R) who are specifically looking for an industry relevant Machine Learning certification.
Machine Learning with R course duration: 40 hours (24 hours video bases + self-study)
Who Should do this course?
Analytics professionals or aspirants with prior working knowledge of R, who are looking for Machine Learning certification to upskill with a practical application of Machine Learning with R.
Become an expert in the exciting new world of AI & Machine Learning, get trained in cutting edge technologies and work on real-life industry grade projects.
Why Machine Learning & AI?
Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.
Who is this program for?
- Beginners in the AI & ML space looking to kickstart their careers
- Anyone with basic programming skills interested in the AI & ML space
- Data Scientists looking to get a big boost in their careers
- Professionals looking for a career transition into AI & ML
Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
What you'll learn
- Master Machine Learning on Python & R
- Have a great intuition of many Machine Learning models
- Make accurate predictions
- Make a powerful analysis
- Make robust Machine Learning models
- Create strong added value to your business
- Use Machine Learning for personal purpose
- Handle specific topics like Reinforcement Learning, NLP and Deep Learning
- Handle advanced techniques like Dimensionality Reduction
- Know which Machine Learning model to choose for each type of problem
- Build an army of powerful Machine Learning models and know how to combine them to solve any problem
- Requirements
- Just some high school mathematics level.
Description
Interested in the field of Machine Learning? Then this course is for you!
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative subfield of Data Science.
Source: HOB