Introduction to TensorFlowJS

Hi guys, today I will tell you about an amazing library launched a few months ago, TensorFlow JS aka tfjs

TensorFlowJS is a library for machine learning development with javaScript, the entire library was built following the most usual and clean methods to develop an entire machine learning application, you can treat data, process, learning, test, and production. This means that the process to use and apply machine learning and data science methods will become easier for developers.

ETL Process

With the TensorflowJS data function, we can load, transform, create, and access local data from webcam and microphone easily, and this is amazing! we don’t need to know the best ways to apply an ETL process, the tensor flow js library does it for us. Also, we can do operations directly in the tfjs, this is really nice because we just need one library to make an entire solution.

Backends

or the processing phase we have many backends available to use with TensorFlowJS, the two backends more common and recommended to use is WebGL and TensorFlow NodeJS, the tfjs will manage and choose the best backend to use if you have the two backends available, this means we can create more performative applications. We can see below that WebGL is faster than wasm and CPU backends, for that reason they recommend and built the TensorFlowJS to run better in this backend. See below the benchmark between the three backends.

#tensorflow #tensorflowjs #machine-learning #javascript #nodejs

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Introduction to Structured Query Language SQL pdf

SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.

Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:

1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.

2. Every database seller needs an approach to separate its item from others.

Right now, contrasts are noted where fitting.

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Introduction to TensorFlowJS

Hi guys, today I will tell you about an amazing library launched a few months ago, TensorFlow JS aka tfjs

TensorFlowJS is a library for machine learning development with javaScript, the entire library was built following the most usual and clean methods to develop an entire machine learning application, you can treat data, process, learning, test, and production. This means that the process to use and apply machine learning and data science methods will become easier for developers.

ETL Process

With the TensorflowJS data function, we can load, transform, create, and access local data from webcam and microphone easily, and this is amazing! we don’t need to know the best ways to apply an ETL process, the tensor flow js library does it for us. Also, we can do operations directly in the tfjs, this is really nice because we just need one library to make an entire solution.

Backends

or the processing phase we have many backends available to use with TensorFlowJS, the two backends more common and recommended to use is WebGL and TensorFlow NodeJS, the tfjs will manage and choose the best backend to use if you have the two backends available, this means we can create more performative applications. We can see below that WebGL is faster than wasm and CPU backends, for that reason they recommend and built the TensorFlowJS to run better in this backend. See below the benchmark between the three backends.

#tensorflow #tensorflowjs #machine-learning #javascript #nodejs

Introduction to VMware

What is VMware?
VMware is a virtualization and cloud computing software provider. Founded in 1998, VMware is a subsidiary of Dell Technologies.

VMware Certification Levels

• VMware Certified Technical Associate
• VMware Certified Professional
• VMware Certified Advanced Professional
• VMware Certified Design Expert

VMware certification salary?

• VCP: VMware Certified Professional: $88,000
• VCAP: VMware Certified Advanced Professional: $103,000
• VCDX: VMware Certified Design Expert: $156,000
• VCA-DT: VMware Certified Associate: $81,000
• VCP-DT: VMware Certified Professional: $98,000
• VCAP-DT: VMware Certified Advanced Professional: $115,000

Top Companies which are using VMware

• U.S. Security Associates, Inc.
• Column Technologies, Inc.
• Allied Digital Services Ltd
• Mondelez International, Inc.

**How to learn Vmware ? **
If you are looking for VMware Training in Hyderabad? SSDN Technologies offer best VMware Training in Hyderabad with certified instructor. We are authorized training partner of VMware. Take VMware training and get job in MNCs.

**Why SSDN Technologies is Best for VMware Training in Hyderabad? **

1. Training by Industry Experts
2. Placement Assistance
3. Live Project Based Training
4. Deliver Only The Best To The Clients
5. Well Equipped Labs
6. Course Completion Certificate

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Introduction to Chatbots - How Chatbots work? 1/4

Many companies today claim that they have chatbots running on NLP and that they are creating responses on the fly. But how do Chatbots work?

Chatbots are aiming to make natural interactions indistinguishable from human conversations, but how much is true? What goes into such a backend?

Let’s discuss.

Table of Contents[show]

How do Chatbots work?

Chatbots work using multiple methodologies. A few of those techniques are easy ones, based on keyword extraction. Some of the techniques respond with FAQ sections.

While some are more advanced ones like Haptik that work on NLP and respond in a much more human-like manner. Let’s find out the different ways of how chatbots work. In the upcoming articles, we’ll talk about creating your first chatbot.

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A Swift Introduction To Probability Theory With Python

An overview of programming foundational calculus and statistics behind probability theory in Python.

Introduction

Probability theory is a sect of mathematics that focuses on the interpretations of the likelihood of certain outcomes. The mathematical branch uses axioms to formally measure probability in probable space. Probable space is a name given to sample space that is used to determine likelihood. Given the definition, it is easy to see why probability theory takes a strong hold in experiments and predicting the outcomes of those experiments. Using data and probable space, we can make informed decisions using data based on prior results. Just as well, we can determine analytical correlations that can provide valuable information about the world we live in.

Needless to say, this makes this branch of mathematics pretty powerful. Not only can we use these mathematics to make informed decisions about the world around us and how to improve it, but we can also use it to predict the impact of those decisions. This in turn makes us even more informed about the potential outcome of the decisions made from these analytics. Now that we understand the power of probability theory, let’s dive into probable space, distributions, and how we can use them in the Python programming language.

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