Machine Learning with Tensorflow is one of the most important new technologies to emerge into popular consciousness in the last decade, transforming fields from consumer electronics & healthcare to retail. This has led to intense curiosity about Machine Learning field among many students & working professionals in the field. Machine Learning Tensorflow | Machine learning using Python | MATLAB machine learning training | Machine Learning Tensorflow Certification

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Machine Learning- Tensorflow

Price: USD 798

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Machine learning using Tensorflow | Machine Learning Tensorflow machine learning training | Machine learning Tensorflow certification



Machine Learning?

In todays world making business is very crucial because data comes in high volume, high velocity and variety , making a data driven business decision is typical . Machine Learning models plays a significant role with learning algorithms. Tensorflow is a relatively new open souce machine learning library from Google which simplies creating a complex machine learning models to a great extent, by hiding all the complexities, mathematics and algorithms. This course – Machine Learning with Tensorflow is designed to explore Tensforflow from scratch and building Machine Learning models with real-world data set


What is Machine learning?

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human. Machine learning is so extensive today that you probably use it many times a day without knowing it.

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human. Machine learning is so extensive today that you probably use it many times a day without knowing it.


Course Objectives
  • Introduce Machine Learning
  • Machine Learning with Tensorflow
  • Tensorboard visualization
  • Hands-on coding of Neural Networks with Tensorflow
  • Applying ML with Tensorflow on the case study
Course Prerequisites
  • Machine Learning essential knowledge is required.
  • Basic Python Programming is required.
  • Knowledge of Statistics is recommended
Where is Machine learning used?

Some of the top MNCs that are using Machine learning:

Apple, Pindrop, Salesforce, Intel, Microsoft, Baidu, and Google these are the top 7 companies which are using Machine Learning.

Target audience for Machine Learning with Python training:

The target audience for this course includes students and professionals who are interested in learning robotics & biometrics This Machine learning with python course is also for people who are very keen about learning Artificial Intelligence & Machine learning with MATLAB.


Why Machine Learning with Tensorflow?

In recent years, Machine Learning has taken over a mainstream business and evolved has a career track and a field of study. A quick search in job portals reveals about 20,000 Machine Learning job opportunities on daily basis in the USA alone. This course explores Tensorflow platform through designing practical Machine Learning algorithms for real-world cases and visualizing them with Tensorboard.

Tensorflow from Google, gaining popularity and a huge community of developers since its launch in Nov 2015. Tensorflow is the most preferred for deep learning applications and Machine learning application churning huge data. The advantage of hosting the production level Machine Learning application directly to Google Cloud is persuading many Machine Learning experts to increasing choosing Tensforflow.


Advantages of Machine Learning with Tensorflow

Machine Learning is gaining popularity in all kinds of domains and Tensorflow is perceived as the major platform for ML. The advantage of this course is that you get a head start as this is a new technology with huge market demand.


Machine Learning With Tensorflow Program


Machine Learning With Tensorflow Program

Introduction to TensorFlow
  • Installing TensorFlow using Docker
  • Installing Matplotlib
  • Hello World applicatin with TensorFlow
Basic Statistics
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
Machine Learning Introduction
  • Machine learning essentials
  • Data representation and features
  • Distance metrics
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Theano, Caffe, Torch, CGT, and TensorFlow
TensorFlow Essentials
  • Representing tensors
  • Creating operators and executing sessions
  • Introduction Jupyter notebook for TensorFlow coding
  • TensorFlow variables
  • Visualizing data using TensorBoard
ML Algorithm - Linear Regression in TensorFlow
  • Regression problems
  • Linear regression applications
  • Regularization
  • Available datasets
  • Coding Linear Regression with TensorFlow – Case study
ML Algorithm - Classification in TensorFlow
  • Classification problems
  • Using linear regression for classification
  • Using logistic regression (including multi-dimensional input)
  • Multiclass classifiers (such as softmax regression)
  • Hands-on practicals session with TensorFlow
ML Algorithm - Clustering in TensorFlow
  • Traversing files in TensorFlow
  • K-means clustering
  • Clustering using a self-organizing map
Simple Neural Networks in TensorFlow
  • Introduction to Neural Networks
  • Batch training
  • Variational, denoising and stacked autoencoders
Reinforcement learning
  • Exercise
  • Concept of Reinforcement Learning
  • Simple model applying Reinforcement Learning in TensorFlow
  • Algorithm
Convolution and Recurrent Neural Networks
  • Advantages and disadvantages of neural networks
  • Convolutional neural networks
  • The idea of contextual information
  • Recurrent neural networks
  • Real world predictive model – example
Case study - Stock Market Analsis with TensorFlow
  • Exercise
  • Case study – Stock Market Analysis
  • Hands on Coding practice in TensorFlow
  • Wrap-up


FAQ | Machine Learnining With Tensorflow Training

Why should I take Machine learning with Tensorflow Training from Mildaintrainings?


You should go for Machine learning with Tensorflow training from Mildaintrainings as our trainers have 12 plus years of industry practical experience and we also provide Practical training with the live project so that you could understand each and everything better, it will help you in your job. At Mildaintraining we will provide you six months Technical support as well.

Do I get the Machine learning with Tensorflow training certificate?

Yes at Mildaintrainings we will provide you participation certificate after the completion of Machine learning with Tensorflow course from MildainTraining.

When will the classes be held?

Classes will be held on weekends as well as weekdays as per schedule or your convenience.

What if I miss the Machine learning with Tensorflow class?

If you miss the class in that case backup class can be adjusted in next live session.

What is Machine learning with Tensorflow course duration?

This course duration will be of 32 hours or 4 days and it will be Instructor lead training at Mildaintrainings with Practical training with live project. The timing will be according to your convenience it can be on weekend and weekdays.

Machine Leaning With Tensorflow

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