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ABOUT COLLABERA TACT Collabera TACT – Technology Academy for Competency Training is an initiative started by Collabera, a $600 mn U.S. based IT Staff Augmentation Company. It aims at providing training to qualifying professionals and students on emerging technologies like Big Data, Internet of Things, DevOps, AWS Cloud, Data Science, Machine Learning, and many more. It has been established to bridge the demand-supply gap of professionals on SMAC technologies and aims at upgrading skills of individuals and making them future job-ready that will require them to be well-versed with the emerging technologies. Once trained, we provide Collabera TACT Certification to qualifying professionals which is globally recognized in the industry. With over two decades of experience in the industry, we understand the trends, and our courses are specially designed to ensure successful careers. Collabera is an SSAE 16 Type 2 Certified organisation. We are Community Partners with Hortonworks, Advantage Partners with MapR, and Authorised Training Partner with Google Developers, thus, maintaining very high standards in our course deliverables. TACT Offerings

Why Opt for Collabera TACT Program? 

Award-winning global training provider

Excellent Quality Training, optimised batch size

Curriculum review and inclusions for Educational Institutions

State-of-the-Art infrastructure

Constant tracking and evaluation of learner’s progress

Practical, in-depth knowledge

Expert Trainers who are SMEs and technocrats

Lifetime 24 X 7 LMS (Learning Management System) access

Live moderator support throughout the program



Collabera TACT BIG DATA was recognised by

TACT recognised by

ASSOCIATIONS To learn more, visit our website

World HRD Congress has awarded Collabera TACT for its Excellence in Training (Asia)


magazine as


Collabera TACT ranked 1st amongst Top 10 IoT Training Institutes – 2016


Best Training Provider presented to Collabera Technologies Pvt. Ltd,

Collabera recognised by

Asian Training & Leadership Award, Dubai

Googl Developers Authorized Training P

Advantage Partners

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THE WORLD OF ML/AI The most important general-purpose technology of our era is artificial intelligence, particularly MACHINE LEARNING (ML) — that is, the machine’s ability to keep improving its performance without humans having to explain exactly how to accomplish. Within just the past few years machine learning has become far more effective and widely available. We can now build systems that learn how to perform tasks on their own. ML/AI is the subfield of computer science which tries to solve problems that are normally reserved for human (read Cognitive Computation) abilities. AI doesn’t mean that everything machines will be doing, rather, AI can be better represented as “Augmented Intelligence”, i.e. Man+Machine to solve business problems better and faster. Even though most of us would have heard more about the ML/AI in last 4-5 years, this is not a new field. It has been flourishing since the late 80s / early 90s.

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TRENDS IN THE FIELD OF ML/AI In a survey of 3,000 AI-aware C-level executives, across 10 countries and 14 sectors, only 20 percent said they currently use any AI related technology at scale or in a core part of their businesses.

TMR According to TMR, the global artificial intelligence market, with a high CAGR of 36.1%, is expected to reach a valuation of US$3,061.35 bn from US$126.24 bn in 2015 over the forecast duration, i.e. between 2016 and 2024. There has been a 14X increase in the number of active AI startups since 2000. Investment into AI start-ups by venture capitalists has increased 6X since 2000. The share of jobs requiring AI skills has grown 4.5X since 2013.

HinduBusinessLine AI professional with 2-4 years experience will earn annually Rs.15-20 lakh, while for 4-8 years it would be Rs.20-50 lakh. AI alone will create 2.3 million jobs globally by 2020.

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WHO SHOULD STUDY ML/AI This course is specifically designed for tech-savvy individuals seeking interest in the field of Machine Learning and Artificial Intelligence. The course is also recommended for technical individuals looking for exposure in the field of Machine Learning and Artificial Intelligence. This course will give an edge in the learning process to students and individuals who wish to understand and prepare for ML/AI exam. The data scientists are responsible for machine learning and getting outputs but the business people are the ones who are going to use it for business purpose so the rules and insights extracted from machine learning should be interpretable.

ELIGIBILITY / PRE-REQUISITES The only pre-requisites to start learning ML/AI are to have knowledge of topics such as Basic Linear Algebra, Programming, Statistics, and Probability.

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We provide 48 hours of live online training including live POC & assignments.

It would be live & interactive online session with Industry Expert Instructor.

Machine Learning, AI & Deep Learning

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DETAILED CURRICULUM : COURSE OBJECTIVES The training aims at providing the participants with latest and general purpose machine learning algorithms. At the same time the training aims to deliver some common threads or a common knowledge base which can be used in future for learning a wide range of algorithms.

DETAILED CURRICULUM : CASE STUDIES a) Financial Industry- Participants would learn “Credit Scoring� b) Health care industry- Use tensor flow for extracting information c) The Canada police differential treatment story d) How to find correct weights for food items and have a winning compensation program e) Predicting customer churn in a telecom industry Other than this working use cases on: a) How to reduce a large number of variables b) Predicting heart attack c) Convert categorical information to continuous information

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DETAILED CURRICULUM : CURRICULUM Introduction to Machine Learning • • • •

What is Machine Learning? Machine Learning Use-Cases Machine Learning Process Flow Machine Learning Categories

Overview of Artificial Intelligence • • • • •

What is AI Applications of AI History of AI Inductive Reasoning & Deductive Reasoning What all are included in AI – Robotics, Agent etc

Introduction to R Programming • • • • •

Installation & Setup – R & R Studio Fundamentals: Vector, Function, Packages Matrices: Building, Naming Dimensions, operations, visualizing, sub setting Data Frames: Building, Merging, Visualizing (ggplot2) Hands-on/ Lab

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DETAILED CURRICULUM : CURRICULUM Data Extraction, Wrangling & Exploration • • • • • • • • • • •

Data Analysis Pipeline What is Data Extraction Types of Data Raw and Processed Data Data Wrangling Exploratory Data Analysis Visualization of Data Loading different types of dataset in R Arranging the data Plotting the graphs Hands-on/ Lab

Supervised & UnSupervised Learning Regression • Simple Linear Regression • Multiple Linear Regression • Support Vector Machine • Hands-on/ Lab Classification • What is Classification and its use cases? • What is Decision Tree? • Algorithm for Decision Tree Induction • Creating a Perfect Decision Tree • Confusion Matrix • What is Random Forest? • What is Navies Bayes? • Support Vector Machine: Classification • Hands-on/ Lab

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DETAILED CURRICULUM : CURRICULUM Clustering • What is Clustering & its Use Cases? • What is K-means Clustering? • What is C-means Clustering? • What is Hierarchical Clustering? • Hands-on/ Lab Overview of Dimensional Reduction: • Feature Extraction with PCA • Feature Selection techniques Recommendation Engine • What is Association Rules & its use cases? • What is Recommendation Engine & it’s working? • Types of Recommendation Types • User-Based Recommendation • Item-Based Recommendation • Difference: User-Based and Item-Based Recommendation • Recommendation Use-case • Hands-on/ Lab

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DETAILED CURRICULUM : CURRICULUM Time Series • What is Time Series data? • Time Series variables • Different components of Time Series data • Visualize the data to identify Time Series Components • Implement ARIMA model for forecasting • Exponential smoothing models • Identifying different time series scenario based on which different Exponential Smoothing model can be applied • Implement respective ETS model for forecasting • Hands-on/ Lab Overview of Deep Learning • What is Deep Learning • Biological Neural Networks • Understand Artificial Neural Networks • Building an Artificial Neural Network • How ANN works • Important Terminologies of ANN

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VISWANATHAN KOLANCHINATHAN, PENNSYLVANIA, USA “It was a great experience of getting trained with Collabera TACT under expert trainers. Talking about the training part, it was excellent coordination from Collabera TACT representatives and Trainer. The way technical team supported the classes is really praise worthy. Overall, it was a nice experience.”

TIUANG PARKER, QUEBEC, CANADA “I am Data Scientist and this machine learning upgraded platform was new to me. One of my friends suggested the course offered by TACT and it has simply done wonders for me. I had few specific problems, the answer of which I found in their LMS. It has been a great experience going through their courses.” DAYZEE THOMSON, EDINBURGH, UNITED KINGDOM “I recently went through their Machine learning program offered by Collabera TACT. I was really impressed by their upgraded content which was toe to toe with latest industry trends. One of the things that impressed me was their support mechanism. The learning consultants would be available for you 24×7.” SIMMONS BROWN, ILLINOIS, USA “To begin with, their support team really understand the meaning of support and they will guide through your requirements. Then everything is a piece of cake. Even a tough course like A.I. seems easy as the trainer would start from scratch. It has been a great and wonderful experience.”

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Introduction to Machine Learning  

Machine Learning has become one of the trending topic for IT talents. Collabera TACT #machine-learning certification course aims on training...

Introduction to Machine Learning  

Machine Learning has become one of the trending topic for IT talents. Collabera TACT #machine-learning certification course aims on training...