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Why Learn Machine Learning (ML)?

In a nutshell, Machine learning helps us automate rules or decision-making processes with the help of mathematics, code, and data. Various Industries are now using Machine Learning Algorithms to increase their revenue by making predictions about their customer's behavior and upcoming trends in the market. Automatic Recommendations in your mobile keyboard and e-commerce websites, Google Voice Assistant, Self-driving Cars, and stock prediction are some examples that are built using machine learning. A critical aspect of machine learning is to train the model with the help of available data to get maximum accuracy when deployed to solve real-world problems.
Globally, Machine Learning Engineering is one of the most sought-after, in-demand profession, and almost all industries are actively hiring ML engineers, so obtaining a Machine Learning skill is highly recommended In this fast-growing field, Scaler is offering a Machine Learning & Data Science training course designed for people belonging to all expertise levels - beginners, intermediate and experts. After you complete this Machine Learning course, you will have an in-demand set of skills that are critical to today's career opportunities in:
  • Machine Learning Engineer
  • Human-Centered Machine Learning Designer
  • NLP Scientist
  • Junior/Senior/Associate ML Scientist
  • Portfolio Risk Data Scientist
  • A machine learning engineer is a highly qualified professional who uses machine learning and software development skills to build and design scalable machine learning systems that can automate predictive models . They shall have good knowledge of system design, Machine Learning Algorithms , Development and Statistics. The primary responsibility of ML Engineer includes,
  • The ML models are performing optimally with the help of the input dataset.
  • Understanding all the features of a model and implementing it correctly.
  • Knows how to scale and deploy Machine learning models.
  • Understand the math behind the machine learning model.
  • Work on Machine Learning projects built in partnership with top companies

    Work on real industry projects, get real-time feedback from mentors, and interact with your peers to discuss different solutions during live classes. Here are a few of the sample projects:

    Estimate food arrival time at customer's location.
    Use data to plan the best strategy for offering discount coupons.
    Detect fraud by analyzing millions of chat messages.
    Experiment with different driving routes to reach destination in minimum time interval.
    *Projects may be updated based on student and partner feedback.

    Get 1:1 guidance with our top industry mentors from the Machine Learning Industry

    We have more than 300 mentors who have already guided thousands of students by taking their mock interviews, providing them detailed feedback and helping them to define their career path. Scaler provides 1:1 mentoring sessions twice a month by pairing the learners with the mentors.

    Our panel of Industry Advisors at Scaler have helped in creating best-in-class Data Science & Machine Learning Training Program.

    Pawan Kumar
    Head of Data Science, Uber
    Bhavik Rasyara
    Boston Consulting Group
    Yash Mimani
    McKinsey & Company
    Ramit Sawhney
    Tower Research Capital / ShareChat

    Our curriculum will prepare you to tackle the toughest problems in Data Science and Machine Learning (ML)

    Based on a simple 30 minutes MCQ test, you enter Beginner / Intermediate / Advanced sections. Beginner and Intermediate sections cover some additional basic topics that Advanced students do not need.

    Beginner
    Beginner
    Beginner
    Intermediate
    Intermediate
    Intermediate
    Advanced
    Advanced
    Advanced
    I know bare minimum coding. Starting from scratch
    15 months Course
    Coming soon!
    I know coding in one programming language. Can build basic applications.
    13 months Course
    Enrolment open
    I am good at coding. I know basic problem solving, data structures, algorithms. Can build basic to advanced applications.
    11 months Course
    Enrolment open
    1
    Introduction to Programming
    arrow-icon
    clock-icon 8 Weeks
    • Decision trees & control
    • Binary number system
    • Strings
    • Arithmetic operators
    • Loops
    2
    Programming - Intermediate
    arrow-icon
    clock-icon 8 Weeks
    • Introduction to Number systems and Bit Manipulations
    • Time Complexity Analysis
    • Arrays Techniques
    • Basic Maths for Programming
    • Sorting and Hashing Libraries
    • Recursion
    • OOPS
    3
    Statistical Analysis & Data Analytics
    clock-icon 8 Weeks
    • Python, Jupyter, Numpy, Pandas
    • Git, Linux Terminal, File I/O
    • Statistics, Probability, Linear Algebra
    • Distributions, Sampling, Hypothesis Testing
    • Databases, SQL, Index, Partition, Schema
    • Web API, Scraping, Automation, Flask
    4
    Machine Learning
    arrow-icon
    clock-icon 8 Weeks
    • Recommender system
    • Bayesian Machine Learning
    • EDA, Data wrangling, Feature Engineering
    • Ensemble Learning
    • Supervised Learning
    • Unsupervised Learning
    • Predictive Modeling & Time Series Forecasting
    • Decision Trees
    5
    ML Engineering - Deep Learning & Big Data
    arrow-icon
    clock-icon 12 Weeks
    • Reinforcement Learning, Q-learning
    • Keras, PyTorch, TensorFlow
    • Information Extraction, Entity Recognition
    • Neural Networks, NLP, Computer Vision
    • Research Papers in Deep Learning
    • Warehouse - AWS S3, HDFS, HBase, NoSQL
    • BERT, Building Chatbots
    • Analysis - Airflow, PySpark, Hive, YARN
    6
    Programming - Advanced
    clock-icon 15 Weeks
    • Time Complexity, Arrays, Strings, Binary Search, 2 Pointers, Recursion, Hashing, Sorting, Bit manipulation
    • Stacks, Queues, Linked Lists, Trees, Tries, Heap
    • Greedy, DP, Graphs
    • DB and System Design

    Our Tutors & Instructors will make you confident about the fundamentals required for Machine Learning

    Our tutors are experts from top companies who have built scalable systems and understand the real-life importance of Data Science and Machine Learning.
    Connect with an Academic Counsellor
    Get all the information about scholarships and low cost EMI options
    Eligibility: Anyone who graduated in 2020 or before

    We also help you prepare for your job search and your interviews

    Exchange job opportunities with our 20,000+ Scaler student community.
    Access job opportunities from more than 180 employer partners of Scaler
    Get ready for job interviews by practicing mock interviews with industry professionals.
    Keep your resume & LinkedIn profile optimized with guidance of our experts

    Scaler's alumni work at reputed tech organizations and promising startups

    Hear from our scaler students and make an informed decision!

    I am superpysched to be a part of Tekion Corp as Senior Software Engineer. The best of interview process I have ever experienced.
    Thanks to the entire team of Scaler to help upgrade my skillsets which certainly made it less daunting. Anshuman Singh Abhimanyu Saxena. Hope to take it to even greater heights!
    The way they taught was the aspect that stood out most to me. Each student was invited to give solutions, and every answer was dissected. No doubt was small enough, and every approach was thought about.
    Thanks to scaler lectures, mentor sessions, and my Mentor Drishti Agarwal, who not only helped me in tackling technical questions but also constantly gave me behavioural and communication tips.
    And the most important part, the mock interviews with my mentor, made me more confident day by day.

    Tuition Fee

    With EMI options, your payment can be as low as Rs 9,811 per month - that's like your monthly grocery bill!

    Total fee: Rs 2.99L inclusive of GST at super affordable EMI options. Try the course for the first 2 weeks - full money-back guarantee if you choose to withdraw.

    EMIs (Pay in Equated Monthly Installments)

    You can find both no-cost EMI & standard interest EMI from our NBFC partners. See below a summary of their best plans (more details available at the time of payment)

    emi-image

    Delievered via our EMI partners - ZestMoney, Propelled, Eduvanz, Liquiloans

    You can also choose to avail EMI options from your credit card providers.

    Machine Learning Training Course FAQs

    Who should take this Machine Learning course program?

    Anyone who wants to learn machine learning and make a career in it, whether they are beginners or professionals, are welcome to enroll for this Data Science & Machine Learning Course. Software, IT, and marketing professionals can enroll part-time or through external programs in Machine Learning.

    What kind of jobs or career opportunities are present in the Machine Learning domain?

    In Machine Learning, there are a variety of job roles that can be assigned depending on industry needs. Once you finish our Machine Learning course, you will possess an in-demand set of skills critical to today's career opportunities, which include: Machine Learning Scientist, Machine Learning Engineer, Human-Centered Machine Learning Designer, Research Analyst, Data Analytics, Analytics Lead/Manager/Consultant, Statistical Programming Specialist, Hadoop Developer, and many more.

    What kind of salary can I expect as a Machine Learning Professional?

    As a fresher in Machine Learning Engineer, you can expect to earn between Rs. 4-8 lakhs per annum. An experienced professional data scientist (3-5 years experience) makes more than Rs. 10 lakhs per annum by virtue of their skills and expertise. Their skill development and learning capabilities largely determine their salary increases. If you are more adept at learning, you will be more likely to grow.

    What is the eligibility for Scaler's Machine Learning and Data Science course?

    As a subject, Machine Learning is a fusion of concepts from Mathematics, Computer Science, and Statistics. It is essential that students have at least one degree in one of the following fields: science, technology, engineering, or mathematics. Additionally, having studied computer programming in high school can be beneficial.

    How can Scaler's Data Science and Machine Learning course assist me in building a successful career in Machine Learning?

    A machine learning engineer must possess a wide range of skills and know the tools and techniques involved. Some of the key skills you learn with our machine learning course include statistical skills, mathematical skills, programming skills (Python, Java, etc.), Data mining skills, cloud computing skills (like AWS and others), ML skills (K-Nearest Neighbour, random forests, ensemble methods, support vector machines, etc.), database skills (SQL, NoSQL, etc.), etc

    What are the fees for the Data Science and Machine Learning course?

    The Data Science and Machine learning course fee in Ba is Rs. 2.5L inclusive of GST. EMI options are available. Take the course for two weeks - if you decide to withdraw, you're fully refunded. If you opt for an EMI option, your monthly payment will be as low as Rs. 7,200.

    Which companies hire Machine Learning Engineers?

    Almost all of the big companies like Google, Amazon, Facebook, Netflix have a requirement of good Machine Learning engineers. Machine learning is being applied in almost all the industries where data can be used to make predictions be it healthcare, IT, finance.

    What are the applications of Machine Learning?

    Some of the major applications of machine learning include speech recognition, self-driving cars, product recommendations, stock market trading, online fraud detection, email spam filtering, chatbots and voice assistance.

    Is the Machine Learning course difficult to learn?

    No. We have excellent instructors and mentors with us who will make the course very easy to learn and understand.

    What is the best coding language to learn Machine Learning?

    Python and R are the most used languages in Machine learning.

    Program Registration
    Thanks for your interest. We will let you know when the course is about to begin.