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Best Machine learning Certification & Training, Courses
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With plenty of online courses available, students often get confused about which course to join and on which platform that particular course is the best. Here, we are to help you out to tackle these kinds of confusion. After doing in-depth research we bring you the Best Machine Learning Certification & Training available in 2019. Based on the content and quality they are either free or paid. All courses are easy to access, user-friendly and available to all categories of students and professionals. Some of them are very basic so even if a person from a non-programming background can easily go through these courses with all ease. The objective of each course is to provide you the best learning of Machine Learning, Data Science. So if you are a working professional who wants to add some stars to your CV or a starter who wishes to have a bright career in Machine Learning this one is for you.
Best Machine learning Certification & Training
- Data Science Specialization- John Hopkins University (Coursera)
- Machine Learning Certification by Stanford University (Coursera)
- Machine Learning Training A-Z: Hands-on Python & R In Data Science (Udemy)
- Deep Learning Certification by DeepLearning.ai- Andrew Ng(Coursera)
- Machine Learning Data Science Certification from Harvard University (edX)
- Python for Data Science and Machine Learning Training(Udemy)
- Machine Learning Data Science Certification from IBM (Coursera)
- Machine Learning with TensorFlow on Google Cloud Platform(GCP)
- Machine Learning Certification by University of Washington (Coursera)
- Mathematics for Machine Learning (Coursera)
Data Science Specialization- John Hopkins University (Coursera)
To launch your career in the most exciting field of Data Science Cousera in collaboration with John Hopkins University brings you an advance course in Data Science Specialization. This course is a series of ten courses developed and taught by the leading professors of John Hopkins University. In this course, you’ll learn how to use R to clean analyze, and visualize data, Navigate the entire data science pipeline from data acquisition to publication, Use GitHub to manage Data Science projects, perform regression analysis, least-square and inference using regression models. This course is with beginner-level difficulty, knowledge of Python is recommended. There is a final Capstone project; you’ll apply the skills learned by building a data product using real-world data. At completion, you will have a portfolio demonstrating mastery of the material. You’ll need to successfully finish the project(s) to complete your specialization and earn your certificate
Time Period of the course – 8 Months (5 Hours/Week)
Ranking – 4.5 out of 5
Course Provider – Johns Hopkins University
Course Available on – Cousera
Machine Learning Certification by Stanford University (Coursera)
Coursera is one of the leading platforms in providing Machine Learning courses. This course is in collaboration with Stanford University is one of the most highly rated courses available on Machine learning. With 2.4 million students already enrolled, this course is a must course in the field of Machine Learning. In this course, you’ll learn Machine learning, Data Mining, Supervised & unsupervised learning and Statistical Pattern Recognition. The instructor is this course one of the best for Machine Learning Andrew Ng CEO/founder of Landing AI and Co-founder of Coursera. Under his expertise you’ll get to know every aspect of ML, he’ll be explaining to you the aspects of machine learning involving real-life examples. There’ll be a hands-on project(s) after each course. Based on the performance in the project you’ll be awarded a certificate.
Time Period of the course – 56 hours (5 Hours/Week)
Ranking – 4.9 out of 5
Course Provider – Stanford University
Course Available on – Coursera
Machine Learning Training A-ZTM: Hands-on Python & R In Data Science (Udemy)
If you want to pursue the exciting world of Machine Learning then Udemy brought you a Machine Learning Training A-ZTM: Hands-on Python and R in Data Science. This course is a step by step walk in the world of Machine Learning with every tutorial you will develop new skills. This is suitable for beginners as there are no such initial requirements. In this course you’ll learn Master Machine Learning on Python and R, Making an accurate prediction on the basis of robust machine models, topics like reinforcement learning, NLP and deep learning, Handle advanced techniques like Dimensionality Reduction. There’ll be practical exercise after each topic to robust your learning and a project(s) at the end of the course based on real business problem based on the performance in the project there will be certificate to showcase your skills in the field of Machine learning and a bonus of Python and R code templates which you can use them on your own projects.
Time Period of the course – 41 Hours (on-demand video)
Ranking – 4.5 out of 5
Course Provider – Udemy
Course Available on – Udemy
Deep Learning Certification by DeepLearning.ai- Andrew Ng (Coursera)
The course is one of the leading platforms to provide online education in the field of machine. For all those who are dreaming to make a career in Machine, Learning coursera introduced a Deep Learning Certification by DeepLearning.ai a course in Deep Learning specialization. In this course, you’ll learn the foundation of Deep Learning, understanding how to build a neural network, and how to implement Deep Learning in a successful model. This course curriculum includes a series of 5 courses followed by assignments after each course and a hands-on project(s) which you’ll need to complete to earn the certificate. Famous Andrew Ng CEO/founder of Landing AI and Co-founder of Coursera is the instructor of this course. He’ll help you in working on case studies from healthcare, autonomous driving, and sign language reading. At the end of the course, there’ll be a certificate of completion.
Time Period of the course – 3 Months (11 Hours/Week)
Ranking – 4.8 out of 5
Course Provider – DeepLearning.ai
Course Available on – Coursera
Machine Learning Data Science Certification from Harvard University (edX)
Kick start your career in the field of Machine learning with a top course from one of the topmost universities of the world. edX in collaboration with Harvard brings you Machine Learning Data Science Certifications courses. The objective of each course is to give you the best learning about Data Science. This course as a part of a professional certification program in Data Science you’ll learn popular machine learning algorithms, Machine learning algorithms, Principal component analysis, and regularization by building a movie recommendation system. After this course, you’ll be able to implement Machine learning effectively and getting it to work to implement real business problems. There’ll be a hands-on project(s) after each course. Based on the performance in the project you’ll be awarded a certificate. This course is available free of cost on edX.
Time Period of the course – 8 weeks
Ranking – 4.6 out of 5
Course Provider – Harvard University
Course Available on – edX
Python for Data Science and Machine Learning Training(Udemy)
IT sector is growing at a very rapid rate with a high demand for the skilled workforce industry is looking for People who can handle huge date of this growing industry with ease. According to Glassdoor data scientist is one of the highest paying jobs in IT, with an average salary of $120,000 in the US. The scope of data science is very high; to narrow the gap between you and skilled Udemy brings you a course Python for Data Science and Machine Learning Training. It is available for beginners too which means even if you don’t know any programming you can enroll in this course without any worry because this course will start with a crash course on Python. This course will teach you building an artificial neural network with Tensor-flow and Keras, classify image data and sentiments using deep learning, Making Predictions using Linear regression, polynomial regression, and multivariate regression. In the end, you’ll be given a final project to apply what you have learned. You’ll earn a certificate of completion.
Time Period of the course – 13 hours (on-demand video)
Ranking – 4.5 out of 5
Course Provider – Udemy
Course Available on – Udemy
Machine Learning- Data Science Certification from IBM (Coursera)
In the past decade, Machine Learning has given us self driving cars, practical speech recognition, effective web search, and many more things. Machine Learning is in demand today. To help students in learning Machine Learning IBM in collaboration with Coursera introduced a Machine Learning Data Science Certification course. This professional certification course by IBM is intended for anyone in developing skills and experience to pursue a career in Machine learning. This program consists of 9 courses including Basics of Machine learning, topics like supervised and unsupervised learning, the purpose of Machine learning, Model evaluation, and Machine Learning algorithm. There’ll be assignments based on real-life learning after each course and a hands-on project based on the real business problem. Based on the performance in the project you’ll earn a certificate which you can share on your network and your CVs.
Duration of the course – 3 Months (12 hours/week)
Ranking – 4.6 out of 5
Course Provider – IBM
Course Available on – Coursera
Machine Learning with tensor-flow on Google Cloud Platform(GCP)
Machine Learning is a science of getting computers to act without explicitly programmed. This Certification course on Machine brought to you by Google Cloud Platform (GCP) is suitable for anyone who has basic computer skills and a passion for self-learning. In this course you’ll experiment wind end to end Machine learning, starting from building a Machine Learning focused strategy and processing into a model training, optimization, and productionalization with hands-on labs using Google Cloud Platform. This Course curriculum includes 5 courses How Google does Machine learning, Launching into Machine Learning, Intro to Tensor Flow Featuring Engineering, and Art and Science of Machine Learning. This course includes a hands-on project. You’ll need to successfully finish the project(s) to complete your specialization and earn your certificate.
Time Period of the course – 1 Month (15 hours/week)
Ranking – 4.5 out of 5
Course Provider – Google Cloud Platform
Course Available on – Google Cloud Platform
Machine Learning Certification by University of Washington (Coursera)
This Specialization from leading researchers at the University of Washington introduces you to the exciting, high demanding field of Machine Learning. This course is based on practical teaching, you will gain experience in the major areas of Machine Learning through a series of practical case studies. In this course, you’ll learn to analyze large and complex data sets, create a system that adapts and improve over time, and build an intelligent application that can make predictions from data. There are 4 courses in this specialization these are Machine Learning Foundations: A case study approach, Machine Learning Regression, Machine Learning Classification, Machine Learning clustering, and Retrieval. Carlos Guestrina and Emily fox will be assisting you throughout the course. This course includes a hands-on project. You’ll need to successfully finish the project(s) to complete your specialization and earn your certificate. Those who are looking for financial aid to pursue learning there is an option of financial aid on coursera for every course.
Time Period of the course – 8 Months (6 hours/week)
Ranking – 4.6 out of 5
Course Provider – University of Washington
Course Available on – Coursera
Mathematics for Machine Learning (Coursera)
Mathematics plays an important role in writing Algorithms or writing codes; even some complex business problems to need mathematics. Impact on Mathematics in Data Science and Machine Learning cannot be avoided. Though at some level each one has studied Mathematics which was taught in another context. This course Mathematics for Machine Learning will freshen up the basics of Mathematics which you’ll need in Data Science. This course is a series of three courses. The first course is based on Linear Algebra. You’ll learn what linear algebra is and how it relates to Machine Learning. In the second course, you’ll learn Calculus and in the third course, you’ll learn Dimensionality reduction with Principal Component Analysis. These Courses are of intermediate difficulty and require basic Python and NumPy knowledge. At the end of the specialization, you will have gained the Mathematical knowledge to start your even more advanced Machine Learning journey.
Time Period of the course – 2 Months (12 Hours/Week)
Ranking – 4.7 out of 5
Course Provider – Imperial College of London
Course Available on – Cousera
Here was a brief description of the Best Machine learning Certification & Training which can turn out to be really effective when learned with the true and required dedication. you can also go for other courses like Free Online Certification Courses, Free Online Certifications Courses, etc. Happy learning.!
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