MACHINE LEARNING CERTIFICATION TRAINING WITH JOB SUPPORT
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42+ Modules | 19+ Tools | 25+ Case Studies Training Delivered by Certified Trainer | 11409+ Professionals Trained with 100% Placement Record
Machine Learning Training Mohali at Itronix Solutions offers extensive courses to learn the statistical methods used in Artificial Intelligence technology stream. Being ranked amongst the top training institutes for Artificial Intelligence and Machine Learning Courses in Mohali, we provide the Machine Learning training with Python and R Programming. Machine Learning is about data and algorithms, but predominately data. Since Machine and Artificial Intelligence is ruling every industry, it’s the exact time for you to equip and train yourself on the most demanded skill of Machine Learning. Join our best Machine Learning Training Institute in Mohali, take a career leap in Machine Learning, Data Analytics, Artificial Intelligence and much more.
Master Demanded AI and ML Tools from Itronix Solutions and Get Industry Ready
- Learn Machine Learning, Data Analytics, Artificial Intelligence with Career Assistance.
- Learn from most awarded Data Science faculty.
- Understand the emerging trends & learning paths in Machine Learning & Data Science
- Detailed presentations. Soft copy of Materiel to refer any time.
- Solve Real world Industry Projects and get certified to fast track your career
- Build a project portfolio to showcase in your interviews
- Finish the class, pass the final exam and you’ll earn your certification
- Start your Career with Machine Learning Course with Certification that gets you a Job with High Pay Scale
Section 1: Introduction to ML
- What is ML?
- Why ML?
- Opportunities in ML
- What is ML models?
- Why R and Python is popular?
Section 2: ML Model Overview
- Introduction to ML Model.
- Data Handling
- Data Pre-processing
- Types of ML Model.
- Supervised and Unsupervised.
- How to test your Data?
- Cross validation techniques
Section 3: Linear Regression
- What is Linear Regression?
- Gradient Descent overview.
- Gradient Descent Calculations.
- R and Python Overview.
- How to improve your model?
Section 4: Overfitting
- Overfitting Overview
- How to use Linear Regression for Overfitting?
- How to avoid Overfitting?
- Bias-Variance Tradeoff.
- Regularization – Ridge, LASSO
- ANOVA, F tests overview.
- What is Logistic Regression?
- Classification with Logistic Regression.
- Maximum Likelihood Estimation.
- Build an end to end model with Logistic Regression using scikit Learn.
- How to build a model in the Industry?
Section 5: Decision Trees
- Why Decision Tree?
- Entropy, Gini Impurity overview
- Implement Overfitting.
- How to improve the Decision Tree model without Overfitting?
- Bagging, Boosting
- Random Forest
- AdaBoost, Gradient Boost
Section 6: k-NN
- Distance based model with kNN.
- Value of k – overview.
Section 7: Support Vector Machines(SVM)
- Power of SVM overview.
- Why SVM?
- What is Kernel Functions?
- What are the Kernel Functions available?
- How to Build an OCR(Optical Character Reader) with the help of SVM and Kernel functions?
- Neural Networks overview.
- Why Neural Networks?
- What is Neural Network Architecture?
- How to build AND, OR, NOT, XOR, XNOR Logic Gates with Neural Network?
- What is Forward & Backward Propagation?
- List of Activation Functions.
- Vanishing Gradient problem
Section 8: Deep Neural Networks
- Optimization methods overview.
- Gradient Descent with Momentum, RMSProp, ADAM.
- Learning Rate Decay.
- Xavier Initialization.
- Introduction to Keras and Tensorflow(TF)
- Deep Learning in Keras with TensorFlow as the backend.
Section 9: Unsupervised Learning
- Clustering overview.
- k-means Clustering.
- Hierarchical clustering.
Section 10: PCA
- Principal Component Analysis(PCA).
- Maths behind PCA.
- Engine Recommendation.
- Content and Collaborative Filtering.
- Market Basket Analysis
- What is Apriori Rule?
Section 11: Computer Vision
- Image Detection, Image Classification, Localization.
- Convolutional Neural Networks(CNN) overview.
- Strides, Padding methods
- Convolutional, Padding and Fully Connected layers
- Sliding Window
- Edge Detection
Section 12: Advanced Computer Vision
- YOLO ALgorithm – You Only Look Once
- Introduction to classical networks like LeNet5
- IoU
- Introduction to Natural Language Processing(NLP)
- Text Preprocessing
- Lemmatization, Stemming
- Syntactical Parsing, Entity Parsing
- Develop a chatbot with the above concepts of NLP and Neural Networks
Learn Machine Learning with various languages in Mohali
Itronix Solutions offering Machine Learning course with below programming languages,
- Machine Learning with Python in Mohali
- Machine Learning with Tensorflow in Mohali
- Machine Learning with JavaScript in Mohali
- Machine Learning with Java in Mohali
- Machine Learning with R in Mohali
- Machine Learning with AI in Mohali
Course Description
Machine Learning is a wide area of Artificial Intelligence focused in the design and development of an algorithm that identifies and learn patterns exist in data provided as input. AI is the catalyst for IR 4.0. This innovation will set an additional or a new approach of governing and managing organizations, particularly companies. The Artificial Intelligence course including deep learning course using Tensor Flow and Keras libraries in Python. Artificial intelligence is also a branch of Machine Learning and hence this program includes a Machine Learning course, which is sometimes also called as Data Mining Supervised Learning. Big Data Hadoop training e-learning is provided along with this deep learning course to ensure that handling images become easy. Master in Machine Learning workshop, Artificial Intelligence workshop and Big Data workshop as part of the AI and Deep Learning training. Our Artificial Intelligence course syllabus includes all the latest algorithms including ANN, MLP, CNN, RNN, LSTM, Autoencoders and many more and this course is considered to be best artificial intelligence course in this region. There are a lot of amazing Artificial intelligence jobs available and most of our students went on to join the fortune 100 companies. Entire machine learning training, big data training and artificial intelligence training is driven using live industry relevant case studies. What are you waiting for? Enroll now for the best Artificial Intelligence course and master the concepts in Artificial Intelligence eventually pioneering your career into the topmost AI companies.
Machine Learning Course Objectives
You will get an overview of how humongous amounts of data is being generated, how to draw meaningful business insights, techniques used to analyze structured and unstructured data, latest machine learning algorithms used to build advanced prediction models and how to visualize data. All these are learned from the perspective of solving complex business problems and making organizations profitable. Practical case studies which are industry relevant have been making our students stand out from the rest and achieve outstanding accolades from the best companies of the globe. Our students have been leaving new footprints in the corporate world by becoming industry-ready as soon as they graduate from colleges.
Machine Learning Training Requirements
Computer skills, basic Mathematics knowledge and knowledge of basic Data Science concepts.
Who Should Attend Machine Learning Course?
- Candidates aspiring to be a Data Scientist, Big Data Analysists, Analytics Manager/Professionals, Business Analyst, Developer
- Graduates who are looking to build a career in Data Science and Machine Learning
- Employees – Organization is planning to shift to Big data tools
- Mid-level Executives
- Managers with knowledge of basic programming
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