Free Powerful Webinar Software

What is The Best Webinar Software

The best webinar software makes it easy to record, share, and follow up with your prospects without any difficulties or downtime.

An excellent webinar tool for small business should help you deliver live high-quality video. This can help you automate your sales process and engage with your MQLs with live training, product demos, and more.

Most video conferencing tools also comes with features like built-in surveys, polls, email marketing software, live-chat features, automated webinar sequences, live-streaming, and more.

These automated webinar sequences are excellent for hosting evergreen content like online courses, podcast interviews, or employee onboarding videos.

 

Here are my picks for the best webinar software in 2020.

 

1. WebinarJam

WebinarJam - Best Webinar Software 2020WebinarJam is the best webinar software currently available. If you have little to no technical knowledge regarding how to set up a webinar, then this easy-to-use webinar platform has you covered. It’s perfect if you want to host webinars in an automated fashion to a large audience.

Moreover, it allows you to stream directly to a YouTube page, and have a secure, password-protected meeting with your target audience online.

It also offers some distinct advantages over other tools, such as:

Providing pop-ups to your audience during the webinar session itself, which allows them to buy your product or service right from the webinar
Offering excellent two-way communication via advanced Live Chat which pulls a video of the participant for 1:1 video communication

WebinarJam employs a unique and distinct Broadcast Distribution Technology which creates a universal signal. Besides, it uses all the latest technology, like RTMP, WebRTC, HLS, and Flash, which makes it compatible with almost all web browsers and devices.

You also get other impressive features, such as HD video, customer-facing interfaces, user-friendly dashboards, and the option of multiple presenters.

Every recording is automatically recorded so that the replay can be sent to your audience. Additionally, the tools is extremely easy to use and they have training videos to help every step of the way.

Key Features:

  • Automatic recording
  • Offers great customer support
  • Built-in autoresponder
  • Social media integrations
  • Has the ability to handle multiple attendants easily
  • Compatibility with various browsers and operating systems
  • Allows you to incorporate polls and surveys with your webinar
  • Extremely easy to use, with user-friendly dashboards and interfaces
  • Quick set up process; it takes about 60 seconds to get up and running

Pricing Packages:

Basic Plan: $499/year ($41.58/month). This plan gives you up to 500 participants per webinar, up to 3 presenters, and 24/7 support.

Professional Plan: $699/year ($58.25/month). With the pro plan, participants increase to 1,000 and speakers go up to 4.

Premium Plan: $999/year ($83.25/month). This plan is for businesses that rely heavily on webinars for their online marketing. It features up to 6 speakers and a webinar audience of up to 5,000.

Overall, based on the feature set, ease of use, support, and training, WebinarJam is my #1 pick this year.

WebinarJam is currently offering a 14-day trial for just $1. This hidden pop-up occurs when you visit their site and move your mouse near the top of the screen (exit-intent).

Get Started with WebinarJam for $1

 


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ICT Academy Courses – Faculty Development Framework

ICT Academy Courses – Faculty Development Framework

What is ICT Academy

ICT Academy is an initiative of the Government of India in collaboration with the state Governments and industries. ICT Academy is a not-for-profit society, and a joint venture under the Public-Private-Partnership (PPP) model. ICT Academy Courses and  several program are freely available on their website.

ICT Academy Programs

  1. Faculty Development
  2. Student Skill Development
  3. Entrepreneurship Development
  4. Youth Empowerment
  5. Industry-Institute Interaction
  6. Digital Empowerment and
  7. Research & Publications.

ICT Academy Courses - Faculty Development Framework

ICT Academy programs has evolved a framework for course development, faculty training and student training. The framework has been made with focus in making the transmission of knowledge from the faculty to students highly effective with all the tools associated with the same. Ict academy training framework is developed with tot, student training followed by assessment and certification.

ICT Academy Courses


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ICT Academy | Faculty Development | Skill Development | Entrepreneurship Development

ICT Academy | Faculty Development | Skill Development | Entrepreneurship Development

What is ICT Academy

ICT Academy is an initiative of the Government of India in collaboration with the state Governments and industries. ICT Academy is a not-for-profit society, and a joint venture under the Public-Private-Partnership (PPP) model.

This Academy was started to meet the skill requirements of the industry and generate more employment especially in tier 2 and 3 towns, the rural parts of the country. The organization was formed with representations from the State Government of Tamil Nadu, leading companies in the ICT industry and National Association of Software Services Companies NASSCOM in India.

This Academy is recently endorsed and recommended by NITI Aayog (National Institution for Transforming India Aayog), the National Planning body of Government of India as one of the unique organization for dissemination and replication, which is aligned to the Skill India Vision of the Government of India.

 

ICT Academy Programs

  1. Faculty Development
  2. Student Skill Development
  3. Entrepreneurship Development
  4. Youth Empowerment
  5. Industry-Institute Interaction
  6. Digital Empowerment and
  7. Research & Publications.

 

ICT Academy Initiatives

   1. For Students

- Link - Common Placement Drive
- Internship & AICTE Job Portal
- Youth Contests
- Skill Development Program

   2. For Institutions

- Membership
- Faculty Development Programs
- Faculty Workshops
- Academic Conferences

  3. Awards

- No.1 Contributor in India 2017 by Autodesk
- National Excellence Award 2018 by ASSOCHAM
- Best Skill Trainer Award 2019 by TNSDC

 

Membership Benefits

1. Faculty Development programs

This academy successfully conducted faculty development programs to 36,353 faculty members benefiting 1,461 Engineering & Arts and Science Colleges.

This academy constantly work with organizations like Microsoft, Intel, National Instruments, Cadence, TCS, Cognizant, ORACLE, DELLEMC, VMware, Palo Alto, NVIDIA, Autodesk, Amazon, Salesforce etc. to bring the industry relevant content to the Institution.

2. International Journals

Online Journal Websites

ICTACT Journals creating Indian-based Journals of International quality and to build up local research content.

  • Journal on Communication Technology (IJCT)
  • Journal on Soft Computing (IJSC)
  • Journal on Image and Video Processing (IJIVP)
  • Journal on Management Studies (IJMS)
  • Journal on Microelectronics (IJME)
  • 12 Copies of the online Journal will be provided to the institution library at free of cost

3. BRIDGE Conference Series

This is flagship event which is a platform for all the stakeholders in the education eco-system to discuss on improving the Industry-Institute collaboration.

4. Academic Alliances

This ACADEMY supports members institutions by providing access to the in-house content of Oracle Academy and DELLEMC Corporation, we also facilitate trainers, software, e-learning sources, curriculum and books from these organizations.

5. Student Skill Development Programs

Student Skill Development programs are offered in both ToT (Train the Trainer) model and Direct training model. These skill development programs include both Technical and Soft skill modules.

6. Student Awards and Competitions

ICT Academy will be conducting unique competition called “Youth Talk”, which is platform to for the students to improvise their public speaking ability. A unique award titled “ICT Academy Student Innovator Award” has been constituted to identify and recognize best student innovators, thereby cultivating the innovation spirit among the students.

7. Conference Collaboration

ICT ACADEMY supports its member institutions in conducting National and International level conferences.The papers submitted in these conferences are taken up for possible publication process in ICT ACADEMY Journals after the review process.

ICT Academy will partner in your National and International conferences and help in getting the quality papers from the researchers across the nation.

8. Youth Street Magazine

Youth Street is a magazine published on quarterly basis by ICT ACADEMY, which is being circulated to all the Universities, Corporate, Government bodies and its member institutions. This magazine will carry great insights on the technological advances in industry, career guidance, case studies, skill gap analysis etc. authored by the Industry veterans.

ICT Academy member institutions will receive this exclusive magazine at free of cost.

9. Free Software and Access to Content

ICT Academy provides its member institutions with free access to ICT Academy education portal, software and resources of partner companies to the faculty members of member institutions.

10. Conclave and Power Seminar Series

ICT ACADEMY Conclave are conducted at regular intervals with focused objectives and is designed to address the key issues and challenges in today’s context of a specific stakeholders like Chairmen, Principals, HODs And Placement Officers. So for 39 unique conclaves had been conducted benefiting the member institutions.

ICT ACADEMY Power Seminar featuring multiple tracks with noted industry experts as speakers, conducted at member institutions on niche technical topics which can be attended by specific student groups.


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Free Online Courses | Get Everything Through Wishusucess

Free Online Courses | Get Everything Through Wishusucess

Free Online Courses Learning - Collection of technical and non technical, Free tutorials and reference manuals with examples for Java, Cloud Computing, Artificial Intelligence, Machine Learning.

 

Free Online Courses Learning - Cloud Computing

Cloud computing is a method of computing where a shared group of resources such as file storage, web servers, data processing services and applications are accessed via the internet. ... Example of cloud computing services include Amazon Web Services, Microsoft Azure, Google Cloud Platform and IBM Cloud.

Free Online Courses Learning: Cloud Computing Tutorial – Basic

 

How do I get certified in cloud computing?

Top cloud certifications
  1. AWS Certified Solutions Architect.
  2. Certificate of Cloud Security Knowledge.
  3. Certified OpenStack Administrator (COA)
  4. Certified System Administrator in Red Hat OpenStack.
  5. Cisco CCNA-Cloud.
  6. Cloud Certified Professional.
  7. Cloud Credential Council.
  8. Cloud Genius.

 

Artificial Intelligence

Artificial intelligence (AI) is a research field that studies how to realize the intelligent human behaviors on a computer. The ultimate goal of AI is to make a computer that can learn, plan, and solve problems autonomously. Of course, these topics are closely related with each other.

Free Online Courses Learning: Artificial Intelligence

What subjects are required for artificial intelligence?

Educational Requirements for Careers in Artificial Intelligence
  • Various level of math, including probability, statistics, algebra, calculus, logic and algorithms.
  • Bayesian networking or graphical modeling, including neural nets.
  • Physics, engineering and robotics.
  • Computer science, programming languages and coding.

 

 

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 genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

Courses

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Browse Free Online Courses - Collection of technical and non technical, Free tutorials and reference manuals with examples for Java, Cloud Computing, Artificial Intelligence, Machine Learning.

 

Free Online Courses Learning - Cloud Computing

Cloud computing is a method of computing where a shared group of resources such as file storage, web servers, data processing services and applications are accessed via the internet. ... Example of cloud computing services include Amazon Web Services, Microsoft Azure, Google Cloud Platform and IBM Cloud.

Free Online Courses Learning: Cloud Computing Tutorial – Basic

 

How do I get certified in cloud computing?

Top cloud certifications
  1. AWS Certified Solutions Architect.
  2. Certificate of Cloud Security Knowledge.
  3. Certified OpenStack Administrator (COA)
  4. Certified System Administrator in Red Hat OpenStack.
  5. Cisco CCNA-Cloud.
  6. Cloud Certified Professional.
  7. Cloud Credential Council.
  8. Cloud Genius.

 

Artificial Intelligence

Artificial intelligence (AI) is a research field that studies how to realize the intelligent human behaviors on a computer. The ultimate goal of AI is to make a computer that can learn, plan, and solve problems autonomously. Of course, these topics are closely related with each other.

Free Online Courses Learning: Artificial Intelligence

What subjects are required for artificial intelligence?

Educational Requirements for Careers in Artificial Intelligence
  • Various level of math, including probability, statistics, algebra, calculus, logic and algorithms.
  • Bayesian networking or graphical modeling, including neural nets.
  • Physics, engineering and robotics.
  • Computer science, programming languages and coding.

 

 

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 genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

Courses

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Free Online Courses Learning of Machine Learning

 

 

Browse Free Online Courses - Data science

Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.

 

What are the subjects in data science?

I have been looking through data science curricula and already feel overwhelmed by the amount of subjects a proper data science curriculum contains. Just to name a few: natural language processing, machine learning, R, Python, SQL, NoSQL, probability, statistics, numerical methods, algorithms, and the list goes on.
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of Machine Learning

 

 

Browse Free Online Courses - Data science

Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.

 

What are the subjects in data science?

I have been looking through data science curricula and already feel overwhelmed by the amount of subjects a proper data science curriculum contains. Just to name a few: natural language processing, machine learning, R, Python, SQL, NoSQL, probability, statistics, numerical methods, algorithms, and the list goes on.
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Free How-To Tutorials. Learn Everything Today

Free How-To Tutorials. Learn Everything Today

Free How-To Tutorials - Collection of technical and non technical, Free tutorials and reference manuals with examples for Java, Cloud Computing, Artificial Intelligence, Machine Learning.

 

Free How-To Tutorials - Cloud Computing

Cloud computing is a method of computing where a shared group of resources such as file storage, web servers, data processing services and applications are accessed via the internet. ... Example of cloud computing services include Amazon Web Services, Microsoft Azure, Google Cloud Platform and IBM Cloud.

Free How-To Tutorials: Cloud Computing Tutorial – Basic

 

How do I get certified in cloud computing?

Top cloud certifications
  1. AWS Certified Solutions Architect.
  2. Certificate of Cloud Security Knowledge.
  3. Certified OpenStack Administrator (COA)
  4. Certified System Administrator in Red Hat OpenStack.
  5. Cisco CCNA-Cloud.
  6. Cloud Certified Professional.
  7. Cloud Credential Council.
  8. Cloud Genius.

 

Artificial Intelligence

Artificial intelligence (AI) is a research field that studies how to realize the intelligent human behaviors on a computer. The ultimate goal of AI is to make a computer that can learn, plan, and solve problems autonomously. Of course, these topics are closely related with each other.

Free How-To Tutorials: Artificial Intelligence

What subjects are required for artificial intelligence?

Educational Requirements for Careers in Artificial Intelligence
  • Various level of math, including probability, statistics, algebra, calculus, logic and algorithms.
  • Bayesian networking or graphical modeling, including neural nets.
  • Physics, engineering and robotics.
  • Computer science, programming languages and coding.

 

 

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 genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

Courses

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Free How-To Tutorials of Machine Learning

 

 

Free How-To Tutorials - Data science

Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.

 

What are the subjects in data science?

I have been looking through data science curricula and already feel overwhelmed by the amount of subjects a proper data science curriculum contains. Just to name a few: natural language processing, machine learning, R, Python, SQL, NoSQL, probability, statistics, numerical methods, algorithms, and the list goes on.
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Free Online Tutorials and Courses

Free Online Tutorials and Courses

Free Online Tutorials and Courses - Collection of technical and non technical, Free tutorials and reference manuals with examples for Java, Cloud Computing, Artificial Intelligence, Machine Learning.

 

Free Online Tutorials and Courses - Cloud Computing

Cloud computing is a method of computing where a shared group of resources such as file storage, web servers, data processing services and applications are accessed via the internet. ... Example of cloud computing services include Amazon Web Services, Microsoft Azure, Google Cloud Platform and IBM Cloud.

Free Online Tutorials and Courses: Cloud Computing Tutorial – Basic

 

How do I get certified in cloud computing?

Top cloud certifications
  1. AWS Certified Solutions Architect.
  2. Certificate of Cloud Security Knowledge.
  3. Certified OpenStack Administrator (COA)
  4. Certified System Administrator in Red Hat OpenStack.
  5. Cisco CCNA-Cloud.
  6. Cloud Certified Professional.
  7. Cloud Credential Council.
  8. Cloud Genius.

 

Artificial Intelligence

Artificial intelligence (AI) is a research field that studies how to realize the intelligent human behaviors on a computer. The ultimate goal of AI is to make a computer that can learn, plan, and solve problems autonomously. Of course, these topics are closely related with each other.

Free Online Tutorials and Courses: Artificial Intelligence

What subjects are required for artificial intelligence?

Educational Requirements for Careers in Artificial Intelligence
  • Various level of math, including probability, statistics, algebra, calculus, logic and algorithms.
  • Bayesian networking or graphical modeling, including neural nets.
  • Physics, engineering and robotics.
  • Computer science, programming languages and coding.

 

 

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 genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

Courses

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Learn Complete Tutorials of Machine Learning

 

 

Free Online Tutorials and Courses - Data science

Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.

 

What are the subjects in data science?

I have been looking through data science curricula and already feel overwhelmed by the amount of subjects a proper data science curriculum contains. Just to name a few: natural language processing, machine learning, R, Python, SQL, NoSQL, probability, statistics, numerical methods, algorithms, and the list goes on.
Free Online Tutorials and Courses Tutorials of Data Science

 

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Browse Free Online Courses And Learn Everything

Browse Free Online Courses And Learn Everything

Browse Free Online Courses - Collection of technical and non technical, Free tutorials and reference manuals with examples for Java, Cloud Computing, Artificial Intelligence, Machine Learning.

 

Browse Free Online Courses - Cloud Computing

Cloud computing is a method of computing where a shared group of resources such as file storage, web servers, data processing services and applications are accessed via the internet. ... Example of cloud computing services include Amazon Web Services, Microsoft Azure, Google Cloud Platform and IBM Cloud.

Browse Free Online Courses: Cloud Computing Tutorial – Basic

 

How do I get certified in cloud computing?

Top cloud certifications
  1. AWS Certified Solutions Architect.
  2. Certificate of Cloud Security Knowledge.
  3. Certified OpenStack Administrator (COA)
  4. Certified System Administrator in Red Hat OpenStack.
  5. Cisco CCNA-Cloud.
  6. Cloud Certified Professional.
  7. Cloud Credential Council.
  8. Cloud Genius.

 

Artificial Intelligence

Artificial intelligence (AI) is a research field that studies how to realize the intelligent human behaviors on a computer. The ultimate goal of AI is to make a computer that can learn, plan, and solve problems autonomously. Of course, these topics are closely related with each other.

Browse Free Online Courses: Artificial Intelligence

What subjects are required for artificial intelligence?

Educational Requirements for Careers in Artificial Intelligence
  • Various level of math, including probability, statistics, algebra, calculus, logic and algorithms.
  • Bayesian networking or graphical modeling, including neural nets.
  • Physics, engineering and robotics.
  • Computer science, programming languages and coding.

 

 

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 genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

Courses

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

Learn Complete Tutorials of Machine Learning

 

 

Browse Free Online Courses - Data science

Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.

 

What are the subjects in data science?

I have been looking through data science curricula and already feel overwhelmed by the amount of subjects a proper data science curriculum contains. Just to name a few: natural language processing, machine learning, R, Python, SQL, NoSQL, probability, statistics, numerical methods, algorithms, and the list goes on.
Browse Free Online Courses Tutorials of Data Science

 

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