- Beginner & Advanced level Classes.
- Hands-On Learning in Machine Learning.
- Best Practice for interview Preparation Techniques in Machine Learning.
- Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
- Affordable Fees with Best curriculum Designed by Industrial Machine Learning Expert.
- Delivered by 9+ years of Machine Learning Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
- Next Machine Learning Batch to Begin this week – Enroll Your Name Now!
Upcoming Batches
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
Most Job Oriented Tools Covered in Machine Learning Training in Mountain View
Learn From Experts, Practice On Projects & Get Placed in IT Company
- We train students for interviews and Offer Placements in corporate companies.
- Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
- You will not only gain knowledge of Machine Learning and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
- Experienced Trainers and Lab Facility.
- Professional Certificate Program in Machine Learning Guidance Support with Exam Dumps.
- For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
- Resume & Interviews Preparation Support.
- Concepts: Data Analytics, R programming, Data Manipulation in R, Data Import techniques in R, Exploratory data Analysis, Basics of Statistics & Linear & Logistic Regression, Data Mining: Clustering techniques, Regression & Classification, Anova & Sentiment Analysis, Data Mining: Decision Trees and Random Forest, Project work.
- START YOUR CAREER WITH MACHINE LEARNING COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
- Classroom Batch Training
- One To One Training
- Online Training
- Customized Training
- Enroll Now
This is How ACTE Students Prepare for Better Jobs
Course Objectives
Why should I select Machine Learning as a Career?
Machine learning Online Course may be a smart career path. In keeping with a 2019 report by so, Machine Learning Engineer is that the top job in terms of earnings, growth of postings, and general demand. Machine learning is that the shining star of the instant. With each business trying to use AI in their domain, learning machine learning opens a world of opportunities to develop leading-edge machine learning applications in numerous verticals like cybersecurity, image recognition, medicine, or face recognition.
What are the Machine Learning job Opportunities?
Since research and analytics are important elements of structure processes that can't be completed while not statistical analysis calculations, Machine Learning with Python has gained immense influence through this market. Therefore, candidates who have sound information in Machine Learning with Python can get enough opportunities in this Mountain View. Also, having a Machine Learning certification will increase the probabilities of obtaining utilized.
What will you learn through this Machine Learning Course in Mountain View?
- Fundamentals of using the information to train machines
- Representation of a man-made neural network
- Linear regression with multiple variables using Python
- Logistic regression for classifying information using Python
- Support Vector Machines algorithms
- Designing a Machine Learning system
- Principal part Analysis for data modeling.
What are the tools utilized in Machine Learning Certification Online Training?
- Knime.
- Accord.net.
- Scikit-Learn.
- TensorFlow.
- Weka.
- Pytorch.
- RapidMiner.
- Google Cloud AutoML.
Does Machine Learning jobs in demand?
Machine Learning Jobs are high in demand across the MNCs globally. ML & AL certifications are the extremely valued data Technology Certification within the entire business. It provides promising career prospects. AI and machine learning jobs have jumped by nearly 75% over the past four years and are poised to stay growing. Following a machine learning job may be a hard selection for a high-paying career that will be in demand for many years.
How to get a machine learning job without a degree?
- Competitions.
- Building your projects.
- Open supply projects.
- Produce a machine learning journal.
- Hackathons.
- Contemplate a cantonment
- Visit networking events.
How quickly can you learn machine learning Course in Mountain View?
Machine learning courses vary in very amount from 6 months to 18 months. However, the program varies with the sort of degree or certification you decide for. You stand to realize decent knowledge on machine learning through 6-month courses that may offer you access to entry-level positions at prime companies. 10 days will offer enough time to realize a survey of the fundamentals of machine learning, and even permit a brand new professional to use a number of these skills to their project.
What is the Machine Learning with Python Market Trend?
India’s top package companies have most of their operations through this city. The main focus of international companies through this city has created a large competition which might be managed by analyzing the market conditions. Machine Learning with Python programming serves this purpose, and thence aspirants eager to become important data Scientists should learn Machine Learning with Python.
What are the Requirements of a Machine Learning Certification Online Course in Mountain View?
This Machine Learning course needs an understanding of basic statistics and arithmetic at the school level. Familiarity with Python programming is additionally useful. You must understand these basic courses as well as Python for Data Science, mathematics Refresher, and Statistics Essential for data Science, before stepping into the Machine Learning Course.
How do I become a Machine Learning Engineer?
This course can offer you an entire summary of Machine Learning methodologies, enough to arrange for you to stand out in your next role as a Machine Learning Engineer. You'll earn Machine Learning certification which will attest to your new skills and on-the-job experience. Get accustomed to regression, classification, statistic modeling, and clump.
What skills you’ll gain from this Machine Learning?
- Master in supervised and unattended learning ideas and Modeling.
- Gain knowledge on the mathematical and aspects of machine learning.
- Understand the operations of Support vector machines, simple regression, call tree, K-nearest neighbors, and K suggests that clump.
- Attain practical mastery over the Principles, algorithms, and machine learning.
How is python utilized in Machine Learning?
Python offers concise and clear code. whereas complicated algorithms and versatile workflows stand behind machine learning and Python's simplicity allows developers to write down reliable systems. Python code is understandable by humans, which makes it easier to create models for machine learning.
Overview of Machine Learning Training in Mountain View
Machine Learning Course Certification is one of the professional credentials that demonstrate a candidate's in-depth knowledge of Machine Learning Algorithms and their application. This certification states that the candidate has acquired the necessary skills to work as a Machine Learning Engineer, with a real-time project experience provided at the end of the course. Having this certificate alongside your resume assists in prioritising your profile during the interview process, and it also opens the door to a wide range of career opportunities.
Under the supervision of our Real-time professionals,ACTE Machine Learning Certification Course in Mountain view hones the necessary skill sets for a professional Machine Learning Engineer.It offers Machine Learning Training in Chennai by professionals with 8+ years of experience in the Machine Learning platform.
Additional Info
Introduction:
Machine Learning is a first-class ticket to today's most exciting data analysis careers. Going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions as data sources proliferate along with computing power to process them.To harness that predictive power, machine learning combines computer science and statistics. It's a must-have skill for all aspiring data analysts and data scientists, as well as anyone else who wants to turn raw data into refined trends and predictions.This course will teach you the entire process of investigating data using a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, as well as how to evaluate the performance of your machine learning algorithms.
Skills Involved in Machine Learning training:
1. Mathematics in Practice:
Math is a valuable skill to have in the arsenal of a Machine Learning engineer. It is also one of the fundamental subjects taught beginning in elementary school, which is why it is the first skill on our list. But have you ever wondered why you need math at all? (Especially if you don't enjoy it?) Math, on the other hand, has a wide range of applications in machine learning. You can use math to set parameters, approximate confidence levels, and many of the ML algorithms are applications derived from statistical modelling procedures, so they are very easy to understand if you have a strong foundation in math.
2. Fundamentals of Computer Science and Programming:
Another fundamental requirement for becoming a good machine learning engineer. You must be familiar with various computer science concepts such as data structures (stack, queue, tree, and graph), algorithms (searching, sorting, dynamic and greedy programming), space and time complexity, and so on. The good news is that if you have a bachelor's degree in computer science, you probably already know all of this! You should be fluent in a variety of programming languages, including Python and R for machine learning and statistics, Spark and Hadoop for distributed computing, SQL for database management, Apache Kafka for data pre-processing, and so on.
3. Algorithms for Machine Learning:
What is an essential skill for becoming a Machine Learning Engineer? Obviously, knowing all of the common machine learning algorithms is critical so that you know where to apply which algorithms. Supervised, Unsupervised, and Reinforcement Machine Learning Algorithms are the three most common types of ML algorithms. Some of the more common ones are the Nave Bayes Classifier, K Means Clustering, Support Vector Machine, Apriori Algorithm, Linear Regression, Logistic Regression, Decision Trees, Random Forests, and so on. So, before embarking on your journey as an ML engineer, it's a good idea to have a solid understanding of all of these algorithms.
4. Data Modeling and Analysis:
You should be proficient in data modelling and evaluation as a machine learning engineer. Data is, after all, your bread and butter! Understanding the underlying structure of the data and then identifying patterns that are not obvious to the naked eye is what data modelling entails. You must also evaluate the data using an algorithm appropriate for the data. The type of machine learning algorithms to use, for example, regression, classification, clustering, dimension reduction, and so on, is determined by the data. A classification algorithm well suited to large amounts of data and speed may be naive beyes, while a regression algorithm for accuracy may be a random forest.
5. Neural Nets:
Nobody can deny the significance of Neural Networks in the life of a machine learning engineer! The neurons in the human brain are used to model these Neural Networks. They have multiple layers, including an input layer that receives data from the outside world and then passes the data through multiple hidden layers that transform the input into data useful to the output layer. These demonstrate a thorough understanding of parallel and sequential computations used to analyse or learn from data.
6. Natural Language Processing (NLP):
Natural Language Processing is, by definition, a critical component of Machine Learning. In essence, NLP aims to teach computers human language in all of its complexities. This is done so that machines can understand and interpret human language, eventually leading to a better understanding of human communication. There are numerous libraries that serve as the foundation for Natural Language Processing. These libraries have a variety of functions that can be used to help computers understand natural language by breaking it down into syntax, extracting important phrases, removing extraneous words, and so on.
7. Communication Capabilities:
Finally, we come to a skill that is considered a soft skill and may not be as important. However, if you have strong communication skills, it can make a huge difference in your career path. That is because, while you understand the data and the insights obtained through machine learning better than anyone else, it is also critical that you can communicate these insights to a non-technical team, shareholders, or clients. This can also include data storytelling, in which you should be able to present your data in a storytelling format, beginning and ending with concrete results obtained from the data using machine learning.
Career path:
- Math, data science, computer science, computer programming, statistics, or physics are all acceptable degree options.
- A working knowledge of business is also advantageous.
- Because you can't usually start as a machine learning engineer, you could start as a software engineer, software programmer, software developer, data scientist, or computer scientist.
- The majority of machine learning engineer jobs necessitate more education than a bachelor's degree.
- A master's degree in data science, computer science, software engineering, or even a PHD in machine learning is a good goal to have.
- A career as a machine learning engineer means that you will never stop learning.
- As technology advances, your need to constantly research AI and understand new technologies becomes even more critical.
- A high level of leadership ability is also advantageous.
To become a machine learning engineer, you usually have to work your way up, gaining enough education and work experience along the way. Here's a general rule to follow:
1. Finish your undergraduate degree:
2. Careers at the entry level:
3. Get a master's degree and/or a Ph.D:
4. Continue to learn:
Industry Trends of MLTraining:
Machine learning is now used in almost every industry. There are, however, some industries that post more ML jobs than others:
Transportation: Starting with drones and progressing to fully autonomous vehicles, self-driving vehicles rely heavily on machine learning. According to Gartner, autonomous vehicles will surround us and perform transportation operations with greater accuracy and efficiency than humans by 2025.
Healthcare: Machine learning systems enable the processing of massive amounts of data in diagnostics and drug discovery, detecting patterns that would otherwise be missed.
Finance: Banks can use machine learning to improve the security of their operations. When something goes wrong, AI-powered systems can detect anomalies in real time and notify staff of potentially fraudulent transactions.
Manufacturing: AI-powered machines in factories help to automate quality control, packing, and other processes, freeing up human workers for more meaningful work.
Marketing:Targeted marketing campaigns with a high degree of customization to the needs of a specific client are said to be far more effective in a variety of fields.
Roles and Responsibilities:
- Creating ML systems.
- Developing and deploying machine learning algorithms and tools.
- Choosing appropriate data sets.
- Choosing the best data representation methods.
- Detecting differences in data distribution that have an impact on model performance.
- Validating the accuracy of data.
- Data science prototypes are being transformed and converted.
- Conducting statistical analysis.
- Running machine learning experiments.
- Models are improved by using the results.
- When necessary, training and retraining systems are implemented.
- Machine learning libraries are being expanded.
- Creating machine learning apps based on client specifications.
The primary goals of an ML engineer are to create machine learning models and to retrain systems as needed. The following are some common responsibilities for this role, depending on the organisation:
Advantages of ML Course:
- The most important application of machine learning is the conversion of given information into usable knowledge.
- Some of the most common applications of machine learning can be found in tasks such as prediction, image and speech recognition, and medical diagnosis.
- Machine learning is fully automatic, which means it does not require human intervention to make decisions or run smoothly.
- When a learning programme is started, it learns the outcomes of various possibilities on its own.
- It does not require any additional human input and can make decisions on its own.
- An anti-virus programme that has the ability to recognise and eliminate new threats that were not introduced during its development is a good example of this.
- It improves people's work by making it easier to identify patterns and trends.
- In the case of digital voice assistants, for example, it observes what a person uses the most on their device and optimises itself to make it more convenient for its user.
- E-commerce websites are another example.
- These websites collect information about what you search for and see the most in order to recommend items that are relevant to your purchasing habits.
- It has been demonstrated time and again that machine learning is a high-potential field with the potential to revolutionise many areas of research.
- The effortlessness of its working pattern conceals a complex structure.
- To penetrate and break through the complexity, a solid educational foundation is required, which is provided by many top engineering colleges in India.
- Machine learning enables us to complete our tasks in a more effective and efficient manner.
- It aids in better decision making and provides users with more accurate results.
- Chess grandmasters, for example, train themselves for games using chess engines that use machine learning.
- Machine Learning algorithms are adept at dealing with multidimensional and multivariate data, and they can do so even in an uncertain environment.
- This can be seen by looking at the computers designed for weather forecasting, which is a highly complex and dynamic phenomenon.
You can see its magic in our daily lives without even realising it. It can be classified into the following types:
Payscale:
1. Indeed ranked machine learning engineer as the top job in the United States in 2019.
2. In other, similar polls that year, the same role was ranked among the top three.
3. Around the same time, Gartner reported that organisations struggle with AI initiatives due to a lack of technical skills, process, tooling, and know-how in deploying ML models, which explains the role's demand.
4. Indeed reports that the average base salary for an ML engineer in the United States is 149,801lakh per year in 2021, while Glassdoor reports a lower average salary of 127,326lakh per year.
Key Features
- 40 Hours Course Duration
- 100% Job Oriented Training
- Industry Expert Faculties
- Free Demo Class Available
- Completed 500+ Batches
- Certification Guidance
Authorized Partners
Curriculum
Syllabus of Machine Learning Course in Mountain View
Module 1: Introduction to Data Analytics- Business Analytics, Data, Information
- Understanding Business Analytics and R
- Compare R with other software in analytics
- Install R
- Perform basic operations in R using command line
- Learn the use of IDE R Studio
- Use the ‘R help’ feature in R
- Variables in R
- Scalars
- Vectors
- Matrices
- List
- Data frames
- Using c, Cbind, Rbind, attach and detach functions in R
- Factors
- Data sorting
- Find and remove duplicates record
- Cleaning data
- Recoding data
- Merging data
- Slicing of Data
- Merging Data
- Apply functions
- Reading Data
- Writing Data
- Basic SQL queries in R
- Web Scraping
- Box plot
- Histogram
- Pareto charts
- Pie graph
- Line chart
- Scatterplot
- Developing Graphs
- Basics of Statistics
- Inferencial statistics
- Probability
- Hypothesis
- Standard deviation
- Outliers
- Correlation
- Linear & Logistic Regression
- Introduction to Data Mining
- Understanding Machine Learning
- Supervised and Unsupervised Machine Learning Algorithms
- K- means clustering
- Anova
- Sentiment Analysis
- Decision Tree
- Concepts of Random Forest
- Working of Random Forest
- Features of Random Forest
Hands-on Real Time Machine Learning Projects
Project 1
Robotics Industry
This project was to make experts how to implement Machnine learning on robotics.
Project 2
TensorFlow
TensorFlow is one of the best and popular machines learning open source projects.
Our Top Hiring Partner for Placements
- We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
- We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
- After completion of 70% Machine Learning training course content, we will arrange the interview calls to students & prepare them to F2F interaction
- Machine Learning Trainers assist students in developing their resume matching the current industry needs
- We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
- We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge
Get Certified By Oracle & Industry Recognized ACTE Certificate
Complete Your Course
a downloadable Certificate in PDF format, immediately available to you when you complete your CourseGet Certified
a physical version of your officially branded and security-marked Certificate.About Experienced Machine Learning Trainer
- Our Machine Learning Training in Mountain View. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
- As all Trainers are Machine Learning domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
- All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
- Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
- Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Machine Learning training to the students.
- We have received various prestigious awards for Machine Learning Training in Mountain View from recognized IT organizations.
Machine Learning Course Reviews
Hasya
ACTE is one of the best institutes in Porur for Machine Learning as their learning process starts from the very basic and then keeps on getting complex. The internship really helps me to gain more knowledge in real-time projects. If anyone is looking to do a Machine Learning / Data Science/ Artificial Intelligence course I would highly recommend this institute.
Harish
A great learning experience. The Machine Learning course at ACTE is well structured and realtime based. The standard of assignments and case studies are of great help.
Mugunthan
Machine learning classes taught by the ACTE classes are excellent. They guided me very well in the project. They have shown the right path for the industry ready. Thankyou very much to ACTE Institute in Velachery.
Pavithra
ACTE is the best place to kick start Machine Learning and other Data Science courses in Anna Nagar. Their guidence is good and at the same time providing better lab practice.Which helps you make informed predictions and assure you to move forward,Honestly, I would definitely recommend this place for Data Science with Python, Data Science using R,Big Data,Machine Learning,Business Analytics..
Venila
This is good Machine Learning training institute in Mountain View.This institute provided training on all latest modules in Machine Learning , Big Data and Data Science Class room and online.Got training on solving real world problems
Machine Learning Course FAQs
Looking for better Discount Price?
Does ACTE provide placement?
- ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
- We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
- More than 3500+ students placed in last year in India & Globally
- ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
- 85% percent placement record
- Our Placement Cell support you till you get placed in better MNC
- Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
Is ACTE certification good?
-
- Gives
-
- For Completing A Course
- Certification is Accredited by all major Global Companies
- ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
Work On Live Projects?
- The entire Machine Learning training has been built around Real Time Implementation
- You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
- GitHub repository and Showcase to Recruiters in Interviews & Get Placed
Who are the Trainers?
What if I miss one (or) more class?
What are the modes of training offered for this Machine Learning Course?
Why Should I Learn Machine Learning Course At ACTE?
- Machine Learning Course in ACTE is designed & conducted by Machine Learning experts with 10+ years of experience in the Machine Learning domain
- Only institution in India with the right blend of theory & practical sessions
- In-depth Course coverage for 60+ Hours
- More than 50,000+ students trust ACTE
- Affordable fees keeping students and IT working professionals in mind
- Course timings designed to suit working professionals and students
- Interview tips and training
- Resume building support
- Real-time projects and case studies
Can I Access the Course Material in Online?
What certification will I receive after course completion?
How Old Is ACTE?
What Will Be The Size Of A Machine Learning Batch At ACTE?
Will I Be Given Sufficient Practical Training In Machine Learning?
How Do I Enroll For The Machine Learning Course At ACTE?
- 50+ REAL-TIME Microsoft Dynamics 365 Interview Questions and Answers
- Kanban Interview Questions and Answers
- 40+ [REAL-TIME] Data Visualization in R Interview Questions and Answers
- CodeIgniter Interview Questions and Answers [ TO GET HIRED ]
- Ionic Interview Questions and Answers [BEST & NEW]