MACHINE LEARNING CERTIFICATION AUTHORITIES

Machine Learning Course Features

MACHINE LEARNING LEAD MENTORS

MACHINE LEARNING COURSE FEES IN BOULDER

Live Virtual

Instructor Led Live Online

790
379

  • IBM® & IABAC® Certification
  • 5-Month | 350 Learning Hours
  • 100-Hour Live Online Training
  • 20 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship +Job Assistance

Blended Learning

Self Learning + Live Mentoring

480
209

  • Self Learning + Live Mentoring
  • IBM® & IABAC® Certification
  • 1 Year Access To Elearning
  • 20 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Corporate Training

Customize Your Training


  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab

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WHY DATAMITES INSTITUTE FOR MACHINE LEARNING COURSE

Why DataMites Infographic

SYLLABUS OF MACHINE LEARNING CERTIFICATION IN BOULDER

The following topics are covered in "Machine Learning"

Foundation:

Machine Learning Introduction: Supervised and Unsupervised Learning

  • Linear Regression Theory
  • Linear Regression Programming with R
  • Working on Case Study

Multiple Linear Regression

  • Theory behind multiple linear regression
  • Multiple Linear Regression with R
  • Working on Case Study

Decision Tree:

  • Theory Behind Decision Tree
  • Decision Tree with R
  • Working on Case Study

Naive Bayes:

  • Theory behind Naïve Bayes classifiers
  • Naive Bayes Classifiers with R
  • Working on Case Study

Support Vector Machines:

  • Theory behind Support Vector Machines
  • Support vector machines with R
  • Improving the performance with Kernals
  • Working on Case Study

Association Rule:

  • Theory behind Association Rule
  • Working on Case Studies

Expert:

Neural Net:

  • Artificial Neural Network
  • Connection Weights in Neural Network
  • Generating Neural Network with R
  • Improving Neural Network Accuracy with Hidden Layers
  • Working on Case

Random Forest:

  • Theory behind Random Forest
  • Random Forest with R
  • Improving performance of Random Forest
  • Working on Case Study

Recommendation Engine:

  • Theory behind Recommendation Engines
  • Working on Case Study with R

Dimension Reduction:

  • Theory behind Recommendation Engine
  • Working on Case Studies
  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Choice of Machine Learning
  • Simple and Multiple Linear Regression
  • KNN etc...
  • Theory of Linear Regression
  • Hands on with use Cases
  • Naïve Bayes for text classification
  • New Articles Tagging
  • K-means Clustering
  • Tuning with Hyper Parameters
  • Popular ML Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised
  • Choice of ML Algorithm
  • Ensemble Theory
  • Random Forest Tuning
  • Simple and Multiple Linear regression
  • KNN
  • Text Processing with Vectorization
  • Sentiment analysis with TextBlob
  • Twitter sentiment analysis.
  • Basic ANN network for regression and classification
  • Tensorflow work flow demo and intro to deep learning

OFFERED MACHINE LEARNING COURSES IN BOULDER

MACHINE LEARNING TRAINING COURSE REVIEWS

ABOUT DATAMITES MACHINE LEARNING TRAINING IN BOULDER

Did you know that machine learning skills make you an asset in any field, empowering you to chase a line-up of opportunities? A career in machine learning can help you participate in the digital transformation that is occurring in areas such as healthcare, retail, logistics, manufacturing and more!

DataMites® is a global leader in data science and machine learning disciplines, providing effective training that meets the needs of the rapidly changing industry. DataMites have offices in India, the UK, the United States, Saudi Arabia, the United Arab Emirates, South Africa, the Philippines, and other nations. Above all, the International Association of Business Analytics Certification has recognised our courses (IABAC) We promise a fantastic learning experience along your machine learning journey since we've guided over 50k learners.

What makes machine learning an important course to attend?

Machine learning is the wave of the future -  Machine learning is becoming the driving force behind a growing number of businesses. The global deep learning market is expected to reach $44.3 billion by 2027, with a CAGR of 39.2% over the forecast period.

Excellent Career Possibilities - A machine learning working engineer in USA earns roughly $112,669 per annum, according to Payscale, which is more than any other similar domain. Even entry-level ML roles in the US can pay up to $94,609 per year on average. The average compensation for an early career ML engineer with 1 to 4 years of experience is $111,966 per year. In the US, a person with 5 to 9 years of experience can earn up to $140,673 per year on average, while a senior professional income is $150,322. (Payscale)

A Job that is Recession-Proof - Machine learning employment is recession-proof since the technology is here to stay. Keep yourself informed on the most recent market and industry developments.

Solve real-time problems - Machine learning can readily tackle a variety of problems that modern businesses confront, such as detecting complicated patterns and processing large amounts of data. If you enjoy conquering obstacles and solving real-world issues, a career in machine learning is for you.

Immense Job Openings - Machine learning is a fascinating subject. Machine learning is being adopted by a wide range of sectors, which implies there are job openings in this field. LinkedIn.com has over 180,000 machine learning jobs listed on its website in the US alone!

So now you know why you should pursue a machine learning career. Before embarking on highly rewarding employment, obtain a machine learning certification or a degree from a reputable institute to ensure that you have all of the necessary and relevant abilities in this field.

The best approach to build the skills, knowledge and credentials you'll really have to thrive in this competitive market is to study Machine Learning in a rigorous academic context, such as DataMites® Machine Learning Training. Our curriculum gives you all of the skills and knowledge you'll need to start a long-term career as a machine learning specialist, as well as the academic credentials you'll persuade hiring managers that you're ready to put in the time right now.

The tech sector has made a significant contribution to the expansion of the US economy by directly and indirectly creating millions of employment and boosting the country's living standards. It has influenced not just the economy but also society.

Robotic automation, cloud computing, the internet of things (IoT), artificial intelligence (AI), machine learning, and 5G technologies are all boosting the IT industry's continued expansion. With a market share of more than 40%, the IT sector in the United States dominates the worldwide IT market. Boulder is popular as the ‘startup hub’ of America and also stands ahead in being one of the fastest-growing IT hubs in the world!

The most powerful Machine Learning Courses are Machine Learning Expert, Machine Learning Foundation, and Machine Learning with Python, all of which will help you comprehend areas that are incredibly popular in today's day and age. The International Association of Business Analytics Certification (IABAC), which has a global reputation, has recognised DataMites® Machine Learning Certification Courses in Boulder. Machine Learning Training from DataMites® is very affordable, and you may get high-quality training in real-time.

We provide 6 monthly Machine Learning Courses in Boulder with Online Machine Learning Training in Boulder that would be imparted within a three-phase learning method.

Phase 1 = It's time to get ready for the upcoming course; candidates will be provided with high-quality self-study videos and materials to help them get to the bottom of the curriculum entirely.

Phase 2 = The main stage of Live Intensive Training, which includes hands-on capstone projects and the IABAC Machine Learning Certification in Boulder, which is a global certification.

Phase 3 = Projects, Internships and Job ready Program.

Courses we offer in Machine Learning:

  1. Machine Learning Expert - Machine learning experts must create programmes that allow computers to self-learn and generate outcomes without the need for human input. Machine Learning Specialist certifies you as a machine learning, artificial intelligence, and data science expert, as the name implies. The Machine Learning Expert Training will continue for five months.
  2. Machine Learning Foundation - A beginner's course designed to assist newcomers in learning about machine learning. Machine Learning Algorithms, Supervised Learning 1, Supervised Learning II, Unsupervised Learning, and Dimensionality Reduction are some of the subjects covered in this course. The Machine Learning Foundation Courses are intended to be completed over the course of two months.
  3. Machine Learning - Tensorflow - Tensorflow is an open-source artificial intelligence library that uses data flow graphs to build models. For categorization, perception, discovery, prediction, and invention, TensorFlow is frequently utilised. Machine Learning with Tensorflow is a course that will explain to you how to get started with Tensorflow, as well as how to learn more about statistics and build Machine Learning models and algorithms using real-world data. The Tensorflow Machine Learning training curriculum lasts five months.
  4. Python for Machine Learning - Python is a general-purpose programming language that can handle a broad range of sophisticated machine learning tasks and allows you to easily create prototypes for machine learning testing. The Python with Machine Learning course teaches you how to build Machine Learning algorithms in Python from the ground up. This course covers Python's role in machine learning, statistics, algorithms, data processing, and more. The DataMites® Machine Learning with Python Training curriculum lasts five months!

Machine learning (ML) has been a game-changer, paving the way for the fourth industrial revolution. With certification, you can pass any interview, regardless of how difficult it is. Pursue a career in machine learning and become successful in your employment by preparing to tackle and overcome modern-day obstacles. According to research, the worldwide machine learning industry would be worth $543 billion by 2023!

In 2022, the IT Services industry is expected to generate $411.80 billion in revenue. The AI industry was worth $5 billion in 2015, but it's expected to be worth $12.5 billion by 2020, and that's just the beginning, owing to advancements like Alexa, Siri, and other devices. The prospects are expanding as artificial intelligence and machine learning become more widely employed around the world and in a wider range of businesses, and the United States is supporting this as a top priority.

Pursuing a career in machine learning will open up a world of possibilities, and you will be able to choose from a variety of jobs. If you want to start a career in the field of machine learning, you are on the correct track because, along with data science, it is one of the top employment options in the twenty-first century!

Along with the machine learning course, DataMites also provides  python training course, deep learning, data analyst, data analytics, artificial intelligence, data engineer, mlops, power bi, r programming, tableau and data science courses in Boulder.

ABOUT MACHINE LEARNING COURSE IN BOULDER

FAQ’S OF MACHINE LEARNING COURSE IN BOULDER

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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