Website Terms and Conditions of Use
1. Terms
By accessing this website, you are agreeing to be bound by these web site Terms and Conditions of Use, all applicable laws and regulations, and agree that you are responsible for compliance with any applicable local laws. If you do not agree with any of these terms, you are prohibited from using or accessing this site. The materials contained in this website are protected by applicable copyright and trademark law.
2. Use License
Permission is granted to temporarily download one copy of the materials (information or software) on ‘Machine Learning Plus’s web site for personal, non-commercial transitory viewing only. This is the grant of a license, not a transfer of title, and under this license you may not:.
- Use the materials for any commercial purpose, or for any public display (commercial or non-commercial) without written permission;
- Attempt to decompile or reverse engineer any software contained on ‘Machine Learning Plus’s web site without written permission;
- Remove any copyright or other proprietary notations from the materials; or
- Transfer the materials to another person or “mirror” the materials on any other server.
This license shall automatically terminate if you violate any of these restrictions and may be terminated by ‘Machine Learning Plus’ at any time.
3. Disclaimer
The materials on ‘Machine Learning Plus’s web site are provided “as is”. ‘Machine Learning Plus’ makes no warranties, expressed or implied, and hereby disclaims and negates all other warranties, including without limitation, implied warranties or conditions of merchantability, fitness for a particular purpose, or non-infringement of intellectual property or other violation of rights. Further, ‘Machine Learning Plus’ does not warrant or make any representations concerning the accuracy, likely results, or reliability of the use of the materials on its Internet web site or otherwise relating to such materials or on any sites linked to this site.
4. Limitations
In no event shall ‘Machine Learning Plus’ or its suppliers be liable for any damages (including, without limitation, damages for loss of data or profit, or due to business interruption,) arising out of the use or inability to use the materials on ‘Machine Learning Plus’ Internet site, even if ‘Machine Learning Plus’ or a ‘Machine Learning Plus’ authorized representative has been notified orally or in writing of the possibility of such damage. Because some jurisdictions do not allow limitations on implied warranties, or limitations of liability for consequential or incidental damages, these limitations may not apply to you.
5. Revisions and Errata
The materials appearing on ‘Machine Learning Plus’s web site could include technical, typographical, or photographic errors. ‘Machine Learning Plus’ does not warrant that any of the materials on its web site are accurate, complete, or current. ‘Machine Learning Plus’ may make changes to the materials contained on its web site at any time without notice. ‘Machine Learning Plus’ does not, however, make any commitment to update the materials.
6. Links
‘Machine Learning Plus’ has not reviewed all of the sites linked to its Internet web site and is not responsible for the contents of any such linked site. The inclusion of any link does not imply endorsement by ‘Machine Learning Plus’ of the site. Use of any such linked web site is at the user’s own risk.
7. Site Terms of Use Modifications
‘Machine Learning Plus’ may revise these terms of use for its web site at any time without notice. By using this website you are agreeing to be bound by the then current version of these Terms and Conditions of Use.
8. Governing Law
Any claim relating to ‘Machine Learning Plus’s web site shall be governed by the laws of the State of Tamil Nadu without regard to its conflict of law provisions. General Terms and Conditions applicable to Use of a Web Site.
9. Marketing Terms and Conditions
Any person submitting his / her contact details with the consent of marketing terms of Machine Learning Plus has consented to the following term. Machine Learning Plus and its study partners (namely Scaler) may reach out to a subscriber via the submitted contact details (emails, phone numbers etc) for knowledge related or promotional content. The person may choose to opt out of any email communication at any point in time by leveraging unsubscribe feature.
