- Beginner & Advanced level Classes.
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- Delivered by 9+ years of Machine Learning Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
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Most Job Oriented Tools Covered in Machine Learning Training in Bhubaneswar
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.
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Course Objectives
Why should I select Machine Learning as a Career?
Machine learning 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 Bhubaneswar. Also, having a Machine Learning certification will increase the probabilities of obtaining utilized.
What will you learn through this Machine Learning Course in Bhubaneswar?
- 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 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 Bhubaneswar?
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 Training?
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 Bhubaneswar
ACTE Training is The Best Training in Bhubaneswar for Machine Learning. We offer great Machine Learning path Training with professional walking footwear withinside the Machine Learning enterprise. We provide 100% placement assistance and make your artwork on live initiatives. Training Academy is rated as one of the Best Machine Learning Training Institute in Bhubaneswar based mostly on Google and distinctive third-birthday party reviews. We have completed over 18000 Training Machine Learning and supplied 100% placement assistance to university students. Over the past 15 years, Team at ACTE dedicated to presenting High-Quality Training in Machine Learning. Trainers at ACTE Training are handpicked from Machine Learning Industry and that they've at least 13+years of experience implementing Machine Learning Training. All Machine Learning Trainers are Professional real-time walking specialists who offer hands-on experience-based eventualities.
Additional Info
Introduction:
Get the pleasant Training from main records scientists in devices getting to know. Provides an in-depth Python path on Machine Learning. This path allows you to increase information in numerous factors of ML. The getting to know findings consist of Python programming devices getting to know, supervised and unattended getting to know, vector support, Random Forest Classifiers, the pleasant exercise of this era, etc. The area of e-getting to know, offering you the most complete and profession-orientated Machine Learning Training in Bhubaneswar. Learners are acquiring in-intensity records and revel in the extraordinarily in-call for thoughts of Machine Learning, like supervised and unattended getting to know, chance, statistics, Python programming, name tree, random forest, linear and provision regression, and a super deal loads of. completing this training path can equip you with the skills set, collectively with statistics, statistics, and distinctive classes of cubic centimeter algorithms.
What is Machine Learning?Machine getting to know is Training computer systems to be advised from getting to know and to reinforce with knowledge – as opposed to being expressly prolonged to attempt to do so.” Machine getting to know is synthetic intelligence (AI) application, which permits structures to analyze and increase robotically from the revel in even as without being coded explicitly. Machine getting to know specializes in laptop applications that could get right of entry to and use the records for his or her getting to know.
What rectangular measures the numerous Machine Learning techniques and algorithms?- Supervised Learning.
- Unsupervised Learning.
- Semi-supervised Learning. Roles of Machine Learning
- Data Engineer
- Data individual
- ML Engineer
- 1. Data Engineer :
- 2. Data scientists :
- 3. Machine Learning Engineer :
The three Main Roles in Machine Learning
Each of them specializes in a wonderful part of the devices getting to know the device. Naturally, there is overlap among each function, and we can set up more than one critical additive of the devices anyplace those roles have a tendency to collaborate the most.
Data is that the muse of the devices getting to know, however, records have become a warm subject matter earlier than devices getting to know had their relatively current betterment. Information engineers are tasked with constructing records infrastructure for numerous distinctive programs, like enterprise intelligence, for years, and it is as an alternative glaring that their abilities could be required for the adoption of the devices getting to know.
So what's going to it suggest that they construct records infrastructure? In trustworthy phrases, they produce structures that ingest, shop, redesign, and distribute records. specific phrases depend completely on what fashion of use case and records they may be handling, as an example, whether or not or now no longer an information warehouse or an information lake is the proper answer.
Data engineers interface with records scientists round issues with the records. The predominant, not unusualplace subject matter could likely be the delivery of it. {records | information |and records} mortal will have to get right of entry to records to test and teach a version, and consequently, the engineer of the record is there to facilitate that.
Data scientists are a unit tasked with locating records-pushed answers to enterprise issues. As an example, they may be looking for personal records to searching for out substantial person segments and constructing fashions to classify the ones customers into segments to distinguish the quit-person knowledge and force loads of engagement. While the primary reason of {records | an information|and records} mortal is to discover records and construct fashions, development and haggling records have a tendency to be the most lengthy part of their advancement.
This is frequently why the characteristic shop is growing as a chief part of the quit-to-quit metric potential unit infrastructure. Data scientists' number one consciousness is on constructing the devices getting to know the rule. However, there is generally pretty a ton of distance among the scientist's environment and additionally, the very last vacation spot is the meeting environment. Many businesses have followed the function of the devices getting to know engineers for the human beings United Nations business enterprise facilitates productionalizing the metric potential unit version.
Technologies that regulate devices getting to know to learn and served at the cloud (consisting of Kubernetes) are generally now no longer part of records scientists' middle abilities. Therefore, devices getting to know engineers have emerged due to the productization professionals for mil. To kind of represent the workflow, records scientists construct and validate the version while engineers assure it scales from a version to a manufacturing device.
However, like records engineering, wondering has shifted in the direction of systems anyplace the goal is lots in the direction of constructing a shared device anyplace engineers and scientists collaborate rather than handovers. while records engineers are unit accountable for the records control platform (or characteristic shop), mil engineers watch out for the MLOps platform that has factors to coach, version, and carrier fashions.
Additionally, mil engineers discover a manner to reveal a manufacturing version to ensure that the served predictions are a unit of predicted great and additionally the carrier itself is obtainable in any respect times. Observance moreover generally ties returned to the characteristic shop and records engineering because of what topics is whether or not or now no longer the underlying records has been changed from as soon as the version become closing trained.
Responsibilities of a Machine Learning Engineer :
- To look at and convert records technological know-how prototypes.
- To create and generate Machine Learning structures and schemes.
- To carry out implemented math evaluation and fine-song fashions victimization takes examination outcomes.
- To locate provided datasets for training functions.
- To teach and retrain metric potential unit structures and fashions as and as soon as necessary.
- To increase and increase current metric potential unit frameworks and libraries.
- To increase Machine Learning apps in step with purchaser/consumer wishes.
- To examine, test with, and put in force suitable metric potential unit algorithms and gear.
- To examine the problem-fixing abilities and use-instances of metric potential unit algorithms and rank them through their achievement chance.
- To discover and visualize records for better know-how and decide versions in records distribution that could affect version overall performance as soon as deploying it in real-international situations.
Skills had to be a Machine Learning Engineer :
- Advanced diploma in pc Science/Maths/Statistics or a related discipline.
- Advanced maths and Statistics skills (linear natural mathematics, calculus, theorem statistics, suggest, median, variance, etc.)
- Robust information modeling and information layout skills. Programming knowledge in Python, R, Java, C++, etc.
- Knowledge of big information frameworks like Hadoop, Spark, Pig, Hive, Flume, etc.
- Experience in running with cc frameworks like TensorFlow and Keras.
- Experience in running with several cc libraries and programs like Scikit analyze, Theano, Tensorflow, Matplotlib, Caffe, etc.
- Strong written and verbal communications
- Excellent social and collaboration skills.
Machine Learning Tools :
1. Microsoft Azure Machine Learning :A cloud platform that allows builders to make, teach and install AI fashions. Microsoft is usually growing updates and upgrades to its devices getting to know gear and has currently proclaimed modifications to Azure Machine Learning, retiring the Azure Machine Learning paintings table.
2. IBM Watson :IBM’s Watson Machine Learning isn’t one issue out of fictitious character. Watson Machine Learning is AN IBM cloud carrier that makes use of information to area devices getting to know and deep getting to know fashions into manufacturing. This device getting to know devices allows customers to carry out training and grading, 2 simple devices getting to know operations.
3. Google TensorFlow :TensorFlow, that's hired for evaluation and manufacturing at Google, is AN ASCII textual content record laptop code library for dataflow programming. a reasonably-priced line, TensorFlow can be a device getting to know framework. This device getting to know devices is relatively new withinside the marketplace and is evolving quickly. TensorFlow's trustworthy visualization of neural networks might be the most attractive to builders.
4. Amazon Machine Learning :It needs to come returned as no wonder that Amazon gives an effective style of devices getting to know gear. a disbursed carrier for growing Machine Learning fashions and generating forecasts. Amazon Machine Learning consists of AN automated information transformation device, simplifying the devices getting to know devices even greater for the person. Additionally, Amazon gives the opportunity devices getting to know the gear that is a fully-controlled platform that produces it trustworthy for builders and information scientists to make use of devices getting to know fashions.
5. OpenNMS :The Open Neural Networks Library can be a laptop code library that implements neural networks. Written in C++ programming language, It gives you the perk of downloading its complete library for gratis from GitHub or SourceForge.
Benefits of Machine Learning :
Gets deleted Data Entry Manual :Double and wrong records are now one of all THE firms' pinnacle challenges. ML and predictive modeling structures can save you guide records access errors. By exploiting the received records, ML structures enhance those procedures. Employees can consequently use it concurrently to perform sports that provide a fee to the company.
Spam detection :The devices have been used for numerous years for getting to know to apprehend unsolicited mail. Email carrier carriers formerly hired pre-current, rule-primarily based unsolicited mail filtering structures. Spam filters, however, are more and more organizing new guidelines through unsolicited mail and phishing messages the usage of neural networks.
Recommendations on merchandise :In the improvement of product-primarily based recommendations, unattended getting to know allows. Today the bulk of e-trade websites appoint devices getting to know to make product guidelines. Here, ML algorithms are used to locate hidden styles and associated items collectively the usage of the shopping for records of clients and suit them with a massive product inventory. These merchandises are then proposed to clients, which motivates the acquisition of the product.
Financial assessment :ML might also additionally now be applied in monetary evaluation with sizeable volumes of quantitative and dependable historic records. In portfolios, algorithmic trade, mortgage underwriting, and detections of fraud ML are already being implemented in finance. But destiny ML programs in finance will consist of chatbots and different conversational safety, purchaser care, and sentiment evaluation interfaces.
Acknowledgment of photo :Computer imaginative and prescient is nicely diagnosed for the cap potential for photo popularity to generate numerically and symbolic photograph records and different records of excessive dimensions. It consists of records mining, ML, sample popularity, and the invention of records from databases. ML is a vital part of photo popularity and is hired through corporations in numerous enterprises such as healthcare, automotive, etc.
Diagnostic Medical :ML assisted numerous healthcare organizations, the usage of superior diagnostic gear and powerful healing techniques, to decorate their affected person's fitness and reduce fitness care expenditures. Health care is presently used to provide nearly faultless diagnoses, foresee readmissions, endorse medicines, and pick out sufferers of excessive risk. The affected person statistics and records set collectively with the signs displayed through the affected person draw those forecasts and insight.
Customer pride increasing :ML can assist to enhance consumer loyalty and additionally offer a fantastic purchaser revel in. This is finished through leveraging beyond name records for purchaser conduct evaluation and thorough as it should be assigning the consumer requirement to the maximum suitable purchaser offerings manager. This cuts dramatically the charges and attempts spent in consumer relationships control. This is why massive agencies make use of predictive algorithms to make tips of merchandise to their clients.
Industry trends:
-
1. No-Code Machine Learning :
- Begin with person conduct records
- Drag and drop Training records
- Use a query in simple English
- Evaluate the outcomes
- Generate a prediction report
Although a good deal of devices getting to know is treated and installation the usage of laptop code, that is now no longer usually the case. No-code devices getting to know is a manner of programming ML programs while not having to undergo the lengthy and exhausting tactics of pre-processing, modeling, designing algorithms, accumulating new records, retraining, deployment, and greater. Some of the primary blessings are Quick implementation Without any code had to be written or the want for debugging, the maximum of the time spent might be on getting outcomes rather than improvement. Lower charges. Since automation gets rid of the want for longer improvement time, massive records technological know-how groups are now no longer necessary. Simplicity No-code ML is less complicated to apply because of its simplistic drag and drop format. No-code devices getting to know makes use of drag and drop inputs to simplify the method into the following:
In an international more and more pushed through IoT answers, TinyML makes its manner into the mix. While massive-scale devices getting to know programs exist, their usability in all fairness limited. Smaller-scale programs are frequently necessary. It can take time for an internet request to ship records to a massive server for it to be processed through devices getting to know a set of rules after which despatched returned. Instead, a greater applicable method is probably to apply ML applications on aspect devices. By walking smaller scale ML applications on IoT aspect devices, we can attain decrease latency, decrease energy intake, decrease required bandwidth, and make sure person privacy. Since the records don’t want to be despatched out to a records processing center, latency, bandwidth, and energy intake are significantly reduced. Privacy is likewise maintained because the computations are made completely locally.
3: AutoML :Similar in goal to no-code ML, AutoML pursuits to make constructing devices getting to know programs greater handy for builders. Since devices getting to know has ended up more and more beneficial in numerous industries, off-the-shelf answers were in excessive call for. Auto-ML pursuits to bridge the distance by offering a handy and easy answer that doesn't depend on the ML specialists. Data scientists operating on devices getting to know initiatives ought to the consciousness of preprocessing the records, growing features, modeling, designing neural networks if deep getting to know is concerned withinside the project, post-processing, and result from evaluation. Since those responsibilities are very complex, AutoML affords simplification thru the usage of templates.
4: Machine Learning Operationalization Management (MLOps) :Machine Learning Operationalization Management (MLOps) is an exercise of growing devices getting to know software program answers with a focal point on reliability and efficiency. This is a singular manner of enhancing the manner that devices getting to know answers are advanced to lead them to greater benefits for businesses. Machine getting to know and AI may be advanced with conventional improvement disciplines, however, the specific tendencies of this era suggest that it can be higher suitable for a distinctive strategy. MLOps affords a brand new method that mixes ML structures improvement and ML structures deployment right into an unmarried constant method.
5: Full-stack Deep Learning :The huge spreading of deep getting to know frameworks and enterprise wishes if you want to consist of deep getting to know answers into merchandise brought about the emergence of a massive call for for “full-stack deep getting to know”. What is full-stack deep getting to know? Let’s consider you've got fantastically certified deep getting-to-know engineers which have already created a few fancy deep getting-to-know versions for you. But proper after the introduction of the deep getting to know the version, it's miles only some documents that aren't related to the outer international wherein your customers live.
6: General Adversarial Networks (GAN) :ACTE era is a manner of manufacturing more potent answers for implementations consisting of differentiating among distinctive types of images. Generative neural networks produce samples that need to be checked through discriminative networks which toss out undesirable generated content. Similar to branches of government, General Adversarial Networks provide tests and balances to the method and growth accuracy and reliability.It’s crucial to don't forget that a discriminative version can't describe the kinds that it's miles given. It can most effectively use the conditional possibility to distinguish samples among or greater classes. Generative fashions consciousness on what those classes are and distribute joint possibility.
Payscale :
The common income for a Machine Learning Engineer is 814K in India. An access-stage Machine Learning Engineer might also additionally assume to earn approximately Rs. 501,058 in step with year. When he advances to the mid-stage position, the common Machine Learning Engineer pay is Rs. 1,142,459 in step with year. According to the Centre for Monitoring Indian Economy (CIME) statistics, the unemployment charge has reduced from 11. nine percentage in May 2021 to nine.2 percentage in June 2021. For process seekers, the IT enterprise has spread out a brand new route of possibilities. The creation of contemporary cutting-edge technology consisting of devices getting to know, robots, synthetic intelligence, cloud computing, and so forth has fortunately created new professional possibilities for aspirant workers.
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 Bhubaneswar
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 Bhubaneswar. 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 Bhubaneswar from recognized IT organizations.
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?
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Job Opportunities in Machine Learning
More Than 35% of Individuals Favor Machine Learning. Machine Learning Stands Out as One of the Most Popular and Sought-after Technologies in the Tech Industry.
You can Work as a
Upcoming In-Demand Jobs
Salary In Machine Learning
- Data Analyst ₹3 LPA - ₹5 LPA
- Machine Learning Engineer ₹4 LPA - ₹6 LPA
- Business Intelligence (BI) Analyst ₹4.5 LPA - ₹6.5 LPA
- AI Engineer ₹5 LPA - ₹7 LPA
- Deep Learning Engineer ₹6 LPA - ₹8 LPA
- Machine Learning Consultant ₹7 LPA - ₹10 LPA
- Machine Learning Research Scientist ₹8 LPA - ₹12 LPA
- Robotics Engineer ₹9 LPA - ₹13 LPA