MACHINE LEARNING & DEEP LEARNING ON CLOUDS ( AWS / AZURE )

20000+ SATISFIED

PARTICIPANTS

5000+ BEPEC - GLOBAL

CERTIFIED MACHINE LEARNING ON AWS/AZURE PARTICIPANTS

1000+ PLACED ON

MACHINE LEARNING ON

AWS/AZURE LAST YEAR

5+ LIVE PROJECTS

TO WORK ON MACHINE LEARNING ON AWS/AZURE

100%JOB GUARANTEE

ELSE MONEY BACK

             *** T&C APPLY ***

BEPEC'S ACHIEVEMENTS

Machine learning on AWS/Azure  course been one of our flagship course across different chapters and different countries we are operating. Nearly 15-20 people get placed on Machine learning on AWS/Azure  every month. 

50-80 participants work on Machine learning on AWS/Azure  projects. 100-150 people join for Machine learning on AWS/Azure  tutorial with BEPEC.

We're very much glad to share our success stories of our participants on Machine learning on AWS/Azure. Please look into few success stories.

ONLINE

100 HOURS OF LIVE MENTOR DRIVEN MACHINE LEARNING ON AWS/AZURE  ONLINE TRAINING PROGRAM WITH REAL - TIME PROJECT WORK FOR 2-3 MONTHS

E-LEARNING

100 HOURS OF RECORDED SESSIONS WITH 10 HOURS OF TRAINER SUPPORT. REAL TIME PROJECT WORK FOR 1 MONTH ON MACHINE LEARNING ON AWS/AZURE

CORPORATE

MACHINE LEARNING ON AWS/AZURE   COURSE WILL BE PROVIDED AS PER YOUR REQUIRED TIME AND AGENDA WITH EXPERIENCED TRAINERS WHO HAS REAL TIME PROJECT EXPERIENCE

ONE TO ONE

MACHINE LEARNING ON AWS/AZURE   COURSE WILL BE PROVIDED FOR ONE TO ONE CANDIDATES WHO ARE HAVING 10+ YEARS INDUSTRY EXPERIENCE AS PER REQUIRED TIME

ABOUT OUR COURSE:

Machine learning on AWS/Azure  course been one of the highly opted course across different industries and different levels of experience. Machine learning on AWS/Azure  Definition: Machine learning on AWS/Azure  is the branch of Artificial intelligence which helps the computers to make decisions without human help and with less amount of programming. 

Machine learning on AWS/Azure  Applications: Machine learning on AWS/Azure  implemented across different industries like finance, healthcare, manufacturing, IT, Tech, Banking e.t.c. Some of the examples like self driving cars, face unlock, text suggestions, text to speech, speech to text, facebook tagging a friend, Iphone Siri e.t.c. are some of the examples of Machine learning on AWS/Azure

How to start? Anyone who is interested on Machine learning on AWS/Azure  can start by reading some Machine learning on AWS/Azure  pdf or reading some Machine learning on AWS/Azure  introduction or one can download some free Machine learning on AWS/Azure  books or read various Machine learning on AWS/Azure  blogs. If above ways seem difficult to learn you can opt for Machine learning on AWS/Azure  course. Once check Machine learning on AWS/Azure  job descriptions for more skillset on Machine learning on AWS/Azure . 

  • Our course data science with Machine learning on AWS/Azure  and NLP with python is crafted in such a way that even a layman can crack job on data science.

  • Our course contains Statistics, linear algebra, Probability, Python Programming, Machine learning on AWS/Azure  and Data Visualization

  • Each and every concept is carried with real time example as well as with an assignment to work

  • A data scientist is very known for building prediction models using Machine learning on AWS/Azure  techniques like forecasting, regression and classification.

  • Here in our training you gonna learn nearly 13+ Machine learning on AWS/Azure  algorithms like decision trees, ensembling methods, non-parametric methods e.t.c.

  • Each and every algorithm was ended up with one real - time project and it's applications and creating documentation for each project.

  • Nearly 15+ live real - time projects you people going to work in our trainings.

  • After the training we prepare your resume and market it across different industries and test you with various mock interviews and projects until you crack job on Data Science.

AGENDA:

 

BASIC AND ADVANCED STATISTICS


  • PURPOSE OF STATISTICS
  • DESCRIPTIVE STATISTICS
  • INFERENTIAL STATISTICS
  • WHAT IS DATA?
  • DIFFERENT TYPES OF DATA
  • PROBABILITY DISTRIBUTION
  • NORMAL DISTRIBUTION
  • SKEWNESS & KURTOSIS
  • HYPOTHESIS TESTING
  • NULL HYPOTHESIS TESTING, ALTERNATE HYPOTHESIS
  • STATISTICAL TESTING
  • 1. ANOVA TEST
  • 2. 2-SAMPLE-T TEST
  • 3. 2 - PROPORTION TEST
  • 4. CHI-SQUARE TEST




PYTHON AND R PROGRAMMING


  • INTRODUCTION TO PYTHON
  • 1. PURPOSE OF PYTHON
  • 2. VALUES, VARIABLES, FUNCTIONS & LIBRARIES
  • LIST, TUPLE, SET AND DICTIONARY
  • USER DEFINED FUNCTIONS
  • FOR LOOP, WHILE LOOP, CASE
  • Data Understanding with Python(Pandas)
  • Data Understanding with Python -2(Pandas, Matplotlib, Seaborn) + Project Allocation only Data Understanding.
  • Assignment Discussion & Clarification
  • Data Cleaning with Python(Pandas),Cleaning with Python -2 (Pandas) + Project Allocation on
  • Data Understanding + Data Cleaning
  • Doubts Clarification on Assignment
  • Misc. Commands of Pandas
  • Misc. Commands of Matplotlib & Seaborn
  • Deep Dive into Numpy & Image Cleaning Assignment
  • Doubts Clarification on Assignment
  • Regular Expressions in Python
  • Introduction to AWS/AZURE
  • Deep Architecture of AWS/AZURE
  • Triggering Python in AWS/AZURE
  • Different divisions in AWS/AZURE




MACHINE LEARNING ALGORITHMS PART -1


  • WHAT IS SUPERVISED LEARNING ?
  • WHAT IS UNSUPERVISED LEARNING ?
  • WHAT IS SEMI - SUPERVISED LEARNING ?
  • WHAT IS REINFORCEMENT LEARNING
  • DIFFERENCE BETWEEN MACHINE LEARNING & DEEP LEARNING.
  • DIFFERENCE BETWEEN A.I. & C.I
  • REGRESSION vs CLASSIFICATION
INTRODUCTION TO LINEAR REGRESSION 1. SIMPLE LINEAR REGRESSION 2. MULTIPLE LINEAR REGRESSION 3. MATHS BEHIND L.R 4. OLS 5. BASED ON SLOPE AND INTERCEPT EQUATIONS 6. GRADIENT DESCENTS
  • BUILD LINEAR REGRESSION MANUALLY
  • CODING LINEAR REGRESSION ON PYTHON
  • VALIDATION TECHNIQUES LIKE
  • R - SQUARED , MSE, RMSE, AIC, BIC E.T.C.
  • ASSUMPTIONS OF L.R
  • REAL TIME BUSINESS CASE EXPLANATION ON L.R
  • REAL TIME PROJECT - HEALTH CARE DOMAIN ON L.R
  • MATHS BEHIND LOGISTIC REGRESSION
  • BUILDING LOGISTIC REGRESSION MANUALLY
  • CODING LOGISTIC REGRESSION ON PYTHON
  • VALIDATION TECHNIQUES LIKE CONFUSION MATRIX
  • ROC, AIC E.T.C.
  • ASSUMPTIONS ON LOGISTIC REGRESSION
  • BUSINESS CASE EXPLANATION ON LOGISTIC
  • REGRESSION
  • BUSINESS CASE ON LOGISTIC REGRESSION FROM BANKING
  • K - MEANS CLUSTERING
  • H. CLUSTERING
  • MARKET SEGMENTATION USING K - MEANS CLUSTERING
  • CLUSTERING FOR DATA IMPUTATION
  • CLUSTERING IN CYBER SECURITY
  • H . CLUSTERING TO UNDERSTAND THE PURCHASE PATTERN
  • WORKING ON A REAL TIME PROJECT BASED ON ABOVE 3
  • ALGORITHMS




ADVANCED MACHINE LEARNING ALGORITHMS


  • DECISION TREE - INTERNAL MECHANISM
  • ENTROPY & GINI
  • HYPER PARAMETER TUNING
  • CONTROLLING THE OVER FITTING
  • BAGGING & BOOSTING FOR DECISION TREE AND MANUALLY BUILDING A
  • BASIC DECISION TREE FOR A SAMPLE DATA
  • HOW TO BUILD A POC ?
  • EXAMPLE POC BUILDING.
  • BUILD A POC ON DECISION TREE/RANDOM FOREST/ GRADIENT BOOSTING FROM (AIRLINES INDUSTRY)
  • BUILDING REAL TIME MACHINE LEARNING PROJECT PIPE LINE IN CLOUD (INDUSTRY- AIRLINES / MANUFACTURING / FINANCE / OPTIONAL)




ADVANCED NATURAL LANGUAGE PROCESSING


  • POS TAGGING
  • SEMANTIC ANALYSIS
  • ENTITY RECOGNITION
  • WORD CLOUD
  • LEXICAL ANALYSIS
  • SENTIMENTAL ANALYSIS
  • NAVIES BAYES FOR NLP MODEL BUILDING
  • BUILDING A PROJECTS ON NLP USING NLTK & SPACY
  • LIMITATIONS OF NAIVE BAYES OVER RNN & LSTM




DEEP LEARNING


  • FEED FORWARD NEURAL NETWORKS
  • CONVOLUTION NEURAL NETWORKS
  • DIFFERENT TYPES OF CONVOLUTION NEURAL NETWORKS
  • REAL-TIME IMAGE RECOGNITION ENGINE ON CLOUD (AWS & AZURE)





 

SCHEDULE:

MACHINE LEARNING ON AWS/AZURE - ONLINE (3,5TH SEP 2019)

6 WEEKENDS - CLASSROOM TRAINING - 100 HOURS

NO.OF TRAINERS

LAPTOP

ASSIGNMNETS

PLACEMENT ASSURANCE

LIVE PROJECTS

2

REQUIRED

10+ ASSIGNMNETS

YES

5+ LIVE PROJECTS

MACHINE LEARNING ON AWS/AZURE - ONLINE (9,13TH SEP 2019)

6 WEEKENDS - CLASSROOM TRAINING - 100 HOURS

NO. OF TRAINERS

LAPTOP

ASSIGNMENTS

PLACEMENT ASSURANCE

LIVE PROJECTS

2

REQUIRED

10+ ASSIGNMENTS

YES

5+ LIVE PROJECTS

MACHINE LEARNING ON AWS/AZURE ONLINE - (16,21ST SEP 2019)

100 HOURS OF TRAINING - NEARLY 3 MONTHS 1HR 30MINS/DAY

MORNING

EVENING

LAPTOP

INTERNET

LIVE TRAINER

7.30AM

9.00PM

REQUIRED

REQUIRED

YES

 
Certification

How do i earn my Machine learning on AWS/Azure  - Best Practices Certification?

 

Pre-Requisites for Certified Machine learning on AWS/Azure  Consultant - Best Practices

 

1. Must complete one project on Machine learning on AWS/Azure  with Project             documentation and Source Code

 

2. Need to attend 16 Hours of Best Practices on Machine learning on AWS/Azure  Training from BEPEC Global

 

3. Need to book exam with BEPEC Global

 

4. Must gain 60% to get awarded with CMLA - Best Practices Certification

 

5. Answer sheet going to be corrected by Artificial Neural Networks

6. Aggregated by Independent Global Certification (IGC)

FAQ'S:

 

What to master for Data Science?


Learning statistics, mathematics, programming, machine learning and data visualization pretty important to start with Data Science Career.




Which programming language is best Python or R?


There are bunch of programming languages like R, Python, Java, Matlab, SAS, Weka, C, C++ e.t.c. But due to huge Machine learning libraries building ML Models made easy with R and Python. If you plan for long run on Machine learning field, it's better to go with Python.




What is Machine learning? What is Data Mining?





What companies are expecting from Machine learning Engineers?


Solving unsolved problems using Machine learning is one of the major requirement and building various products and solutions across different domains using Machine Learning.





 

Podcasts

Machine Learning Definition:

Machine learning Course is a part of artificial intelligence (AI) that provides computers with the capacity to learn without being heavily programmed. Machine learning concentrates on the improvement of computer projects that can change when presented to new data. Machine learning is used in Facebook for tagging a particular person using deep face. Where there are about 13 machine learning algorithms for better understanding. Machine learning with python increases the speed of training and with the new advent of  Graphical processing units(GPUs). Our special Machine Learning Course builds you and make you to work on Artificial Intelligence.

 

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HIGH IN CLASS RESUME BUILDING

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Demo on Machine Learning

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