Learn Deep Learning
Learn Deep Learning Pre-Requisites: Understanding linear algebra, calculus, and statistics, as well as programming and some machine learning.
- Duration: 30+ hours
- Fast-track / Weekend batches
- 100% Practical Training
- 08+ Years Exp Faculty
- Project Explanation
- Real time Scenarios
- Free Bundle Videos
- Sample Resumes
- Interview Q&A
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
Introduction to R programming
- Variables in R
- Scalars
- Vectors
- Matrices
- List
- Data frames
- Using c, Cbind, Rbind, attach and detach functions in R
- Factors
Data Manipulation in R
- Data sorting
- Find and remove duplicates record
- Cleaning data
- Recoding data
- Merging data
- Slicing of Data
- Merging Data
- Apply functions
Data Import techniques in
- Reading Data
- Writing Data
- Basic SQL queries in R
- Web Scraping
Exploratory data Analysis
- Box plot
- Histogram
- Pareto charts
- Pie graph
- Line chart
- Scatterplot
- Developing Graphs
Basics of Statistics & Linear & Logistic Regression
- Basics of Statistics
- Inferencial statistics
- Probability
- Hypothesis
- Standard deviation
- Outliers
- Correlation
- Linear & Logistic Regression
Data Mining: Clustering techniques, Regression & Classification
- Introduction to Data Mining
- Understanding Machine Learning
- Supervised and Unsupervised Machine Learning Algorithms
- K- means clustering
Anova & Sentiment Analysis
- Anova
- Sentiment Analysis
Data Mining: Decision Trees and Random Forest
- Decision Tree
- Concepts of Random Forest
- Working of Random Forest
- Features of Random Forest
Project work
- Real-time projects
Our Happy Student Reviews!
About Learn Deep Learning
SVR Technologies works with an operation to be one of the finest Deep Learning online training centers that offers all the newest updated courses online training in various environments .
Deep Learning is part of a broader family of machine learning concerned with algorithms inspired by the structure, and function of the brain called artificial neural networks and it is also known as Deep structured learning. Learning can be supervised, semi-supervised or unsupervised. That imitates the working of the human brain in creating patterns for use in decision-making and in processing data.
At ground level, deep learning is a machine learning technique. It guides a computer to filter inputs through layers to learn how to predict and classify information. Observations are in the form of images, text, or sound.
Deep Learning CV & Interview
Yeah, Even after the completion of course, we will provide you some interview questions where you can concentrate on them.
We provide excellent study materials and customizable course curriculum to students for superior quality training and we also provide videos recordings which support throughout your career.
At the completion of this course, with hands-on training definitely give you confidence that you go in an interview with leaving 3 years of experience.
Deep Learning certification
Learn deep learning training course at SVR technologies, after completion of the training, that will give you scope on your certification and skill. The training leads to get good percentage in deep learning certification exam and then the user will be entitled to get a certification. That provides online deep learning training which can be either paid or free you can take training online and complete the course, and then get certification for your knowledge on the deep learning course. The course has been composed to give your career a strong boost with Deep learning. There will be tests After the Deep learning Training program, that reflects perfectly the type of questions asked in the particular certification exams and helps you score better marks in the certification exam. Once you are qualified for the exam then you will become Deep learning certified.
All the topics will be covered during the course. We provide question banks which will be helpful for you to attempt for certification.
Even after completion, of course, you can approach a trainer if you have any doubt regarding certification.
Surely, We provide the certification sample queries and references.
The certification has multiple impacts and encouraging factors in the recruitment of experts. Organizations claim that hiring certified professionals has served them with greater deployment and yield on investment. Check Cloud Career Building Up Force for New-age IT Professionals to understand the career benefits.
Deep Learning Salary & Career Growth
Deep Learning place a main role in present days. Deep Learning training is provided by top trainers who are well versed and who effectively conduct classes. it will become so very powerful and future ready
The average salary for "deep learning" approximately $79,316 per year for Engineer
Deep learning is known as neural organized learning. It is part of a more extensive group with a wide range of jobs. Deep learning engineers have numerous options for programming skills like building Convolutional neural network, Batch Normalization, etc.
Some of the job opportunities available for DL learners like software engineer, research analyst, Data Analyst, Data Engineer, Bio information Software developer, etc.
Deep Learning Job Support
We Provide job support by experienced and real-time working professionals. We can charge as per your convenience hourly or monthly. Feel free to ask initial interaction session with expert.
General FAQs!
There are many ways to learn Deep learning. But it is very easy to learn from online resources and I think this is the best way. If you are interested to learn deep learning course. I can recommend you the SVR technologies that provide online deep learning course with experienced faculty.
Deep learning is exactly powerful because it makes hard things easy. The people who follow the deep learning tutorials and the original code work by researchers could easily find deep learning be so easy. The main reason is deep learning made such a splash is the very fact that it allows us to phrase several impossible learning problems as empirical loss minimization across gradient descent, a conceptually super simple thing.
Each of the steps in deep learning may take about 5–6 weeks' time. About 26 weeks from the time you start, you will have a solid foundation in deep learning.
There are different sources to start Deep learning such as online deep learning training courses and books, videos, etc. I would say don’t move further unless your basics are clear.
If you want to become proficient in deep learning in just one month. You have coding experience with relevant knowledge in mathematics and computer science, If you follow online deep learning courses, you can successfully complete your deep learning course.
First, you should learn what are the prerequisites to learn deep learning? And then start your course online, this is the best way to beginners to start their online deep learning training. There are many resources online on Deep Learning.
The main difference between deep learning vs machine learning stems from the way data is presented to the system. Machine learning algorithms almost always require structured data, whereas deep learning networks rely on layers of the artificial neural networks.
